Journal articles: 'Damage identification and location'

1

Fei, Qing Guo, Ai Qun Li, Chang Qing Miao, and Zhi Jun Li. "Structural Damage Identification Using Wavelet Packet Analysis and Neural Network." Key Engineering Materials 324-325 (November 2006): 205–8. http://dx.doi.org/10.4028/www.scientific.net/kem.324-325.205.

Full text

Abstract:

This paper describes a study on damage identification using wavelet packet analysis and neural networks. The identification procedure could be divided into three steps. First, structure responses are decomposed into wavelet packet components. Then, the component energies are used to define damage feature and to train neural network models. Finally, in combination with the feature of the damaged structure response, the trained models are employed to determine the occurrence, the location and the qualification of the damage. The emphasis of this study is put on multi-damage case. Relevant issues are studied in detail especially the selection of training samples for multi-damage identification oriented neural network training. A frame model is utilized in the simulation cases to study the sampling techniques and the multi-damage identification. Uniform design is determined to be the most suitable sampling technique through simulation results. Identifications of multi-damage cases of the frame including different levels of damage at various locations are investigated. The results show that damages are successfully identified in all cases.

APA, Harvard, Vancouver, ISO, and other styles

2

Guan, De Qing, Xiao Lin Zhong, and Hong Wei Ying. "Damage Identification of Arch Bridge Based on Curvature Mode Wavelet Analysis." Applied Mechanics and Materials 166-169 (May 2012): 1176–79. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.1176.

Full text

Abstract:

Based on the curvature modal damage identification of wavelet analysis principle, the finite element method was applied to analyze the vibration characteristics of the damaged deck arch bridge. Take Haar wavelet as the mother wavelet, through the continuous wavelet transform of curvature mode and then identified the damaged position by the maximum of wavelet coefficients. analyze the damage identification problem under three different damaged conditions (condition 1: only the arch 1 contained one damaged location; condition 2: the arch 1 and the arch 2 contained one damaged location respectively; condition 3: the arch 1 contained two damaged locations and the arch 2 contained one damaged location).This paper provided a valuable reference of damage identification and diagnosis for arch bridge.

APA, Harvard, Vancouver, ISO, and other styles

3

Luo, Xiao Bin, and Yang Zhang. "Jacket Damage Identification Based on ANSYS Design Optimization." Key Engineering Materials 561 (July 2013): 521–26. http://dx.doi.org/10.4028/www.scientific.net/kem.561.521.

Full text

Abstract:

Jacket is the fundamental structure of offshore platform, supporting the deck. It is a space frame truss consisting of hollow legs (pipes) and horizontal and vertical rods used to connect legs. Traditionally, damages of jacket must be detected by diving into various depth which would costs a lot. In this article, ANSYS was used to simulate the identification of damage locations. Element Parametric finite-element models which demonstrated several common damages such as corrosion and bending by changing physical and geometric parameters were analysed. It was found that analysis of node vibration data far from the damage location could identify the damage location with ANSYS design optimization.

APA, Harvard, Vancouver, ISO, and other styles

4

Gorgin, Rahim, and Ziping Wang. "Structural Damage Identification Based on Principal Curvatures of Mode Shape." International Journal of Acoustics and Vibration 25, no. 4 (December 30, 2020): 566–76. http://dx.doi.org/10.20855/ijav.2020.25.41714.

Full text

Abstract:

This paper presents a procedure for damage identification and characterization on plates, based on the principal curvatures of their first mode shape. Each mode shape represents the displacement of the structure at its corresponding natural frequency. Since, variations in the geometry due to cracks or material property degradation, make changes in the mode shapes of the structure, such changes can be used for damage identification methods. The presented procedure only requires the first mode shape of the intact and damaged structure. It is shown that the principal curvatures of the surface defined by the first mode shape of the structure, are sensitive to damage and the maximum principal curvature can be used to highlight damages on the structure. The performance of the developed method is firstly evaluated using finite element analysis. To this aim, the procedure is applied to highlight both single and multi-damages in different locations of the plate with different boundary conditions. It is shown that the location of the maximum curvature variation coincides well with the location of damages and the amount of the maximum curvature change can be used as a parameter to describe damage severity. The accuracy of the proposed method is also experimentally verified by test on an aluminum plate and it is demonstrated that the proposed method remains effective even in experimental condition when only a limited number of measurements are available.

APA, Harvard, Vancouver, ISO, and other styles

5

Liu, Wei Ran, Shou Jun Du, and Li Mei Zhang. "Damage Identification of Plane Truss Structure According to Square Difference in Elemental Modal Strain." Applied Mechanics and Materials 724 (January 2015): 22–27. http://dx.doi.org/10.4028/www.scientific.net/amm.724.22.

Full text

Abstract:

A method based on the square difference of elemental modal strain was proposed to determine the damage location and damage degree. The square difference of elemental modal strain was expressed damage before and after. Simulation results show that: this method is effective to locate the single, multiple damages and light, severe damage with low-order modal information. Damage degrees can be initially determined by the values of the square difference of damaged-element modal strain. Furthermore, the result also shows that this method can accurately identify the damage location of plane truss structures with noise.

APA, Harvard, Vancouver, ISO, and other styles

6

Peng, Xi, Cunkang Tian, and Qiuwei Yang. "Structural Damage Identification Using the Optimal Achievable Displacement Variation." Materials 15, no. 23 (November 26, 2022): 8440. http://dx.doi.org/10.3390/ma15238440.

Full text

Abstract:

To ensure the safe use of structures, it is essential to develop efficient damage identification techniques. In this paper, a brand-new approach to identifying structural deterioration based on static displacement is proposed. First, the relationship between the displacement variation and the damaged element is derived from the static response equations before and after damage. Subsequently, the optimal achievable displacement variation is defined to determine the damage location in the structure. A progressive elimination strategy is suggested to identify the real damaged parts and weed out the pseudo-damaged elements by measuring the distance between the measured and the best possible displacement variation. After determining the damage location, the corresponding damage extent can be calculated by a system of linear equations. The proposed approach has been tested on a beam structure and truss structure using simulated and experimental data. Compared with the existing static sensitivity method, the suggested method does not result in misjudgment and has higher identification accuracy. It has been demonstrated that the suggested approach is effective at locating and assessing the extent of structural damage.

APA, Harvard, Vancouver, ISO, and other styles

7

Hou, Yanfang, Weibing Hu, Xin Wang, Tingting Hou, and Congli Sun. "Damage Identification of Ancient Timber Structure Based on Autocorrelation Function." Advances in Civil Engineering 2021 (July 5, 2021): 1–12. http://dx.doi.org/10.1155/2021/6683666.

Full text

Abstract:

A damage location method for the autocorrelation peak value change rate based on the vibration response of a random vibration structure is established. To calculate the autocorrelation function of the vibration response of each measurement point, we transformed the maximum values into an autocorrelation peak vector. Under a good condition, the autocorrelation peak vector has a fixed shape; hence, it can be used as a basis for structural damage identification. The two adjacent measurement points with the largest change corresponding to the two nodes of the damage unit and the damage location are determined to calculate the change rate of the autocorrelation peak values between damaged and intact structures. When the degree of damage is 5%, the autocorrelation peak value change rate of the acceleration response on the two nodes of the damage unit is significantly greater than that of the other points, which can accurately determine the damage location, indicating that the damage location index constructed has good damage sensitivity. The damage location index can determine a single damage, as well as a double damage. The antinoise capability of the damage location index gradually improves with an increase in the degree of damage. At 45% degree of damage and signal-to-noise ratio (SNR) of 0 dB, the damage location index can still accurately determine the damage location, which has good antinoise interference capability. The Xi’an Bell Tower is used as a case study, and the feasibility of this method is verified, which provides a new method for the study of damage location of ancient timber structures.

APA, Harvard, Vancouver, ISO, and other styles

8

Li, Zhenhu, and Francis Tat Kwong Au. "Damage Detection of Bridges Using Response of Vehicle Considering Road Surface Roughness." International Journal of Structural Stability and Dynamics 15, no. 03 (March 8, 2015): 1450057. http://dx.doi.org/10.1142/s0219455414500576.

Full text

Abstract:

This paper presents a genetic algorithm (GA)-based method to identify the damage of girder bridges from the response of a vehicle moving over the bridge. The continuous wavelet transform-based method works when the surface is smooth but the identification becomes difficult when the road surface is rough. To deal with this problem, the identification process is formulated as an optimization problem and a guided GA is used to search for the global optimal value. The vertical accelerations of the vehicle running over the bridge at the intact and damaged states are used to identify the occurrence and location of the damage. Frequencies of the bridge at the intact and damaged states can be extracted from these responses, from which the frequency-based method can roughly estimate the possible locations of the damage. These locations are not unique as frequencies alone are insufficient to identify the damage location. However these initial results can be used to narrow down the search region on which the GA can focus. Numerical study shows that the strategy can identify the damage location for simply supported and continuous girder bridges even though road surface roughness and measurement noise are taken into account.

APA, Harvard, Vancouver, ISO, and other styles

9

Zhang, Jian Wei, Yi Na Zhang, and Sheng Zhao Cheng. "Damage Diagnosis of Radial Gate Based on Modal Strain Energy." Applied Mechanics and Materials 71-78 (July 2011): 4240–43. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.4240.

Full text

Abstract:

Non-destructive testing and safety monitoring of structure has been a hot and difficult engineering research problems, and an effective extraction of damage characteristic factor is a critical and theoretical research on structural damage detection and monitoring technology. The basic theory of modal strain energy and the steps to damage diagnosis are discussed in the paper.A a radial gate with different damaged locations and damaged degree is studied,and the results show that modal strain energy can be used as structural damage location sensitive factor,and that the indicator can be a very good identification of the location and extent of structural damage,and that the results of damage diagnosis are clear and reliable.

APA, Harvard, Vancouver, ISO, and other styles

10

Sun, Yi, Kun Ma, Dongfa Sheng, Dewen Liu, and Bihui Dai. "Research on Bridge Structural Damage Identification." Scientific Programming 2022 (March 16, 2022): 1–14. http://dx.doi.org/10.1155/2022/5095966.

Full text

Abstract:

The traditional identification methods have limited ability to identify damage location of bridge structures. Therefore, a bridge structural damage location identification method based on deep learning is proposed. In addition, the sigmoid function is the activation function, and the cross entropy is the cost function. Meanwhile, take the Gaussian noise as the addition method and take the softmax as the classifier. So the constructed SDAE deep learning model can realize damage location identification of the simply supported the continuous beam bridges. Compared with the traditional identification methods of bridge structures, namely BP network and SVM, the proposed method shows higher identification accuracy and antinoise performance. Here, the average identification accuracy of the method for continuous beam bridge is 99.8%. As can be seen that the proposed method is more suitable for practical bridge structure damage location identification.

APA, Harvard, Vancouver, ISO, and other styles

11

Hu, Zhixiang, and Peiguan Zhang. "Damage Identification of Structures Based on Smooth Orthogonal Decomposition and Improved Beetle Antennae Search Algorithm." Advances in Civil Engineering 2021 (February 27, 2021): 1–14. http://dx.doi.org/10.1155/2021/8857356.

Full text

Abstract:

A novel damage identification method that utilizes the smooth orthogonal decomposition (SOD) combined with the improved beetle antennae search algorithm (BAS) presented by previous scholars is proposed. Firstly, the damage index which can track the curvature changing of mode shape identified by the SOD method is generated by an adaptive polynomial fit method. The locations of structure damages are determined according to the damage index. Thus, the number of possible damaged elements needed to be taken into account can be reduced when calculating the degree of damage. Then, the reduction in the stiffness at the damage location of the structure is calculated by the improved BAS in which the fitness function is constructed by calculated frequencies of the damaged structure in each iteration and the modal frequencies obtained by SOD. The BAS algorithm is improved through a fusion strategy of simulated annealing theory. Thus, the improved BAS algorithm is efficient and adaptive. The effect of this combined application in damage identification has been verified by numerical examples of a simply supported beam with single damage and a cantilever beam with double damage. The numerical results show that this combined algorithm exhibits high reliability in damage identification of beam-like structures.

APA, Harvard, Vancouver, ISO, and other styles

12

Friswell, Michael I. "Damage identification using inverse methods." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1851 (December 12, 2006): 393–410. http://dx.doi.org/10.1098/rsta.2006.1930.

Full text

Abstract:

This paper gives an overview of the use of inverse methods in damage detection and location, using measured vibration data. Inverse problems require the use of a model and the identification of uncertain parameters of this model. Damage is often local in nature and although the effect of the loss of stiffness may require only a small number of parameters, the lack of knowledge of the location means that a large number of candidate parameters must be included. This paper discusses a number of problems that exist with this approach to health monitoring, including modelling error, environmental effects, damage localization and regularization.

APA, Harvard, Vancouver, ISO, and other styles

13

SILVA, R. L., L. M. TRAUTWEIN, C. S. BARBOSA, L. C. ALMEIDA, and G. H. SIQUEIRA. "Empirical method for structural damage location using dynamic analysis." Revista IBRACON de Estruturas e Materiais 13, no. 1 (February 2020): 19–31. http://dx.doi.org/10.1590/s1983-41952020000100003.

Full text

Abstract:

Abstract This paper presents the use of numerical model techniques for identification and damage location adopting the Modal Curvature Difference (MCD) method as reference for the analysis of a simply supported concrete structure. Then, an empirical formulation to detect damages in this structure is proposed. In this method, called Acceleration Summation Difference (ASD), the difference of acceleration amplitude between intact and damaged structures are calculated for concrete plates simply supported on rubber bearings. During the analyses, the finite element models were developed using SAP2000® software. The results obtained depicted that it is possible to determine the approximate position of one or more damages in the structure, with some restrictions, and the proposed ASD method presented good correlation to localize the position of single or multiple damages.

APA, Harvard, Vancouver, ISO, and other styles

14

Ding, Bei Dou, Ming Tang, and Ya Nan Shang. "Damage Location Identification of Truss Structure Based on Strain Modal Method." Advanced Materials Research 919-921 (April 2014): 51–57. http://dx.doi.org/10.4028/www.scientific.net/amr.919-921.51.

Full text

Abstract:

Due to the fatigue load and bad corrosion environment, truss structure in service will form the damage accumulation, damage detection of potentially damaged elements of truss structures is a challenging topic. According to the element stress characteristics of truss structure, structural element strain mode mainly based on the vibration displacement is derived, the change of elemental strain modal is proposed as the dynamic indicator for damage location identification of truss structure. Based on the numerical simulation study of the actual truss structure indicates that, the loworder elemental strain modal method is not only sensitive to damage identification of chord element and web element of truss structure, but also is effective to locate the damage of different position, and is suitable for damage alarming of truss structure in service.

APA, Harvard, Vancouver, ISO, and other styles

15

Luo, Shuai, Zhenxin Zhuang, Wei Wang, and Ping Jiang. "Residual Mode Vector-Based Structural Damage Identification with First-Order Modal Information." Advances in Materials Science and Engineering 2021 (July 3, 2021): 1–10. http://dx.doi.org/10.1155/2021/5526171.

Full text

Abstract:

Damage identification based on the change of dynamic properties is an issue worthy of attention in structure safety assessment, nevertheless, only a small number of discontinuous members in existing structure are damaged under service condition, and the most remaining members are in good condition. According to this feather, we developed an effective damage location and situation assessment algorithm based on residual mode vector with the first mode information of targeted structure, which utilized the quantitative relationship between first natural modes of global structure with the change of the element stiffness. Firstly, the element damage location is determined with exploitation of the sparseness of element stiffness matrices based on the discontinuity of damaged members. Then, according to the distribution characteristics of the corresponding residual mode vector, the nodal equilibrium equation about the damage parameter is established based on the residual mode vector, and the damage coefficients of structural elements are evaluated with the proposed equations. Two numerical examples are given to verify the proposed algorithm. The results showed that the proposed damage identification method is consistent with the preset damage. It can even accurately identify large-degree damages. The proposed algorithm only required the first-order modal information of the target structures and held few requirements of analysis resource; hence when compared with existing methods, it has obvious advantages for structural damage identification.

APA, Harvard, Vancouver, ISO, and other styles

16

Shan, Deshan, Zhenxin Huang, Zhen Huang, and Jingchao Yang. "Bridge Structural Damage Location Identification under Seismic Action." IABSE Symposium Report 101, no. 15 (September 1, 2013): 1–9. http://dx.doi.org/10.2749/222137813808627064.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Bueno, D. D., C. R. Marqui, V. Lopes Jr., M. J. Brennan, and Daniel J. Inman. "Structural Damage Identification and Location Using Grammian Matrices." Shock and Vibration 19, no. 3 (2012): 287–99. http://dx.doi.org/10.1155/2012/158723.

Full text

Abstract:

In this paper, an approach using observability and controllability grammian matrices is proposed to determine if structural damage has occurred together with an estimate of its location. The theory is outlined and simulations are carried out on a simple structure to demonstrate the method. Experimental tests were also carried out to demonstrate the validity of the approach using real signals. The dynamic properties of the structure are identified using the eigensystem realization algorithm (ERA) and a reduced order state-space model of the system subsequently constructed. Either the observability or controllability grammians can then be used depending on the number of sensors available. It is shown that these are sensitive to both the degree and location of the damage and offer promise for structural health monitoring applications.

APA, Harvard, Vancouver, ISO, and other styles

18

AMANO, Masataro, Ichiya TAKAHASHI, Yoji OKABE, and Nobuo TAKEDA. "Identification of damage location in Advanced Grid Structures." Proceedings of the Materials and processing conference 2004.12 (2004): 7–8. http://dx.doi.org/10.1299/jsmemp.2004.12.7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Mirtaheri, Masoud, Mojtaba Salkhordeh, and Masoud Mohammadgholiha. "A System Identification-Based Damage-Detection Method for Gravity Dams." Shock and Vibration 2021 (February 26, 2021): 1–15. http://dx.doi.org/10.1155/2021/6653254.

Full text

Abstract:

Dams are essential infrastructures as they provide a range of economic, environmental, and social benefits to the local populations. Damage in the body of these structures may lead to an irreparable disaster. This paper presents a cost-effective vibration-based framework to identify the dynamic properties and damage of the dams. To this end, four commonly occurred damage scenarios, including (1) damage in the neck of the dam, (2) damage in the toe of the structure, (3) simultaneous damage in the neck and the toe of the dam, and (4) damage in the lifting joints of the dam, are considered. The proposed method is based on processing the acceleration response of a gravity dam under ambient excitations. First, the random decrement technique (RDT) is applied to determine the free-vibration of the structure using the structural response. Then, a combined method based on Hilbert–Huang Transform (HHT) and Wavelet Transform (WT) is presented to obtain the dynamic properties of the structure. Next, the cubic-spline technique is used to make the mode shapes differentiable. Finally, Continuous Wavelet Transform (CWT) is applied to the residual values of mode shape curvatures between intact and damaged structures to estimate the damage location. In order to evaluate the efficiency of the proposed method in field condition, 10% noise is added to the structural response. Results show promising accuracy in estimating the location of damage even when the structure is subjected to simultaneous damage in different locations.

APA, Harvard, Vancouver, ISO, and other styles

20

Sahin, M., and R. A. Shenoi. "Vibration-based damage identification in beam-like composite laminates by using artificial neural networks." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 217, no. 6 (June 1, 2003): 661–76. http://dx.doi.org/10.1243/095440603321919581.

Full text

Abstract:

This paper investigates the effectiveness of the combination of global (changes in natural frequencies) and local (curvature mode shapes) vibration-based analysis data as input for artificial neural networks (ANNs) for location and severity prediction of damage in fibre-reinforced plastic laminates. A finite element analysis tool has been used to obtain the dynamic characteristics of intact and damaged cantilever composite beams for the first three natural modes. Different damage scenarios have been introduced by reducing the local stiffness of the selected elements at different locations along the finite element model of the beam structure. After performing the sensitivity analyses aimed at finding the necessary parameters for the damage detection, different input-output sets have been introduced to various ANNs. In order to check the robustness of the input used in the analysis, random noise has been generated numerically and added to noise-free data during the training of the ANNs. Finally, trained feedforward back-propagation ANNs have been tested using new damage cases and checks have been made for severity and location prediction of the damage.

APA, Harvard, Vancouver, ISO, and other styles

21

Dems, K., and J. Turant. "Structural damage identification using frequency and modal changes." Bulletin of the Polish Academy of Sciences: Technical Sciences 59, no. 1 (March 1, 2011): 27–32. http://dx.doi.org/10.2478/v10175-011-0005-2.

Full text

Abstract:

Structural damage identification using frequency and modal changesThe problem of identification of a structural damage is considered. The identification of location and/or dimensions of a damaged area or local defects and inclusions is performed using the measurements of vibration frequency and eigenvalues of real structure and the corresponding finite element model. The proper distance norms between the measured and calculated structural response are introduced and minimized during the identification procedure.

APA, Harvard, Vancouver, ISO, and other styles

22

Jiao, Li, Hai Zhang, and Hong Wei Liu. "Multi-Resolution Analysis and Damage Identification of Structure." Advanced Materials Research 368-373 (October 2011): 593–98. http://dx.doi.org/10.4028/www.scientific.net/amr.368-373.593.

Full text

Abstract:

By using wavelet multi-resolution analysis, damage sensitivity in different acceleration responding signals from different locations of the structure are studied in this paper. Through numerical analysis of a five-layer frame structure, the result shows that the sensors in different location have different capabilities in denoting the damage signal. Each sensor can only denote the working status of the surrounding area. Single or some of the sensors may lead to false diagnostic results. It can be concluded that multi sensors with data fusion method is the effective way to solve the problem of limited information by single sensor.

APA, Harvard, Vancouver, ISO, and other styles

23

Li, Z. H., and F. T. K. Au. "Damage Detection of a Continuous Bridge from Response of a Moving Vehicle." Shock and Vibration 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/146802.

Full text

Abstract:

This paper presents a multistage multipass method to identify the damage location of a continuous bridge from the response of a vehicle moving on the rough road surface of the bridge. The vehicle runs over the bridge several times at different velocities and the corresponding responses of the vehicle can be obtained. The vertical accelerations of the vehicle running on the intact and damaged bridges are used for identification. The multistage damage detection method is implemented by the modal strain energy based method and genetic algorithm. The modal strain energy based method estimates the damage location by calculating a damage indicator from the frequencies extracted from the vehicle responses of both the intact and damaged states of the bridge. At the second stage, the identification problem is transformed into a global optimization problem and is solved by genetic algorithm techniques. For each pass of the vehicle, the method can identify the location of the damage until it is determined with acceptable accuracy. A two-span continuous bridge is used to verify the method. The numerical results show that this method can identify the location of damage reasonably well.

APA, Harvard, Vancouver, ISO, and other styles

24

Georgioudakis, Manolis, and Vagelis Plevris. "A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data." Advances in Civil Engineering 2018 (2018): 1–20. http://dx.doi.org/10.1155/2018/3183067.

Full text

Abstract:

Structural damage identification is a scientific field that has attracted a lot of interest in the scientific community during the recent years. There have been many studies intending to find a reliable method to identify damage in structural elements both in location and extent. Most damage identification methods are based on the changes of dynamic characteristics and static responses, but the incompleteness of the test data is a great obstacle for both. In this paper, a structural damage identification method based on the finite element model updating is proposed, in order to provide the location and the extent of structural damage using incomplete modal data of a damaged structure. The structural damage identification problem is treated as an unconstrained optimization problem which is solved using the differential evolution search algorithm. The objective function used in the optimization process is based on a combination of two modal correlation criteria, providing a measure of consistency and correlation between estimations of mode shape vectors. The performance and robustness of the proposed approach are evaluated with two numerical examples: a simply supported concrete beam and a concrete frame under several damage scenarios. The obtained results exhibit high efficiency of the proposed approach for accurately identifying the location and extent of structural damage.

APA, Harvard, Vancouver, ISO, and other styles

25

Xu, Qian. "Damage Identification Investigation of Retaining Wall Structures Based on a Virtual Impulse Response Function." Shock and Vibration 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/1346939.

Full text

Abstract:

To eliminate the influence of excitation on the wavelet packet frequency band energy spectrum (ES), ES is acquired via wavelet packet decomposition of a virtual impulse response function. Based on ES, a character frequency band vector spectrum and damage eigenvector spectrum (DES) are created. Additionally, two damage identification indexes, the energy ratio standard deviation and energy ratio variation coefficient, are proposed. Based on the damage index, an updated damage identification method for retaining wall structures is advanced. The damage state of a retaining wall can be diagnosed through DES, the damage location can be detected through the damage index trend surface, and the damage intensity can be identified by establishing a quantitative relationship between the damage intensity and damage index. To verify the feasibility and validity of this damage identification method, a vibration test on a pile plate retaining wall is performed. Test results demonstrate that it can distinguish whether the retaining wall is damaged, and the location of partial damage within the retaining wall can be easily detected; in addition, the damage intensity of the wall can also be identified validly. Consequently, this damage identification theory and method may be used to identify damage within retaining wall structures.

APA, Harvard, Vancouver, ISO, and other styles

26

Shan, Deshan, Junying Zhang, Qiao Li, Tiande Lv, and Zhen Huang. "Damage Location Identification of Railway Bridge under moving Train." IABSE Symposium Report 101, no. 15 (September 1, 2013): 1–8. http://dx.doi.org/10.2749/222137813808627082.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Morales Valdez, Jesus, Luis Alvarez-Icaza, and Jose Alberto Escobar. "Online Identification System for Damage Location in Building Structures." IEEE Latin America Transactions 17, no. 08 (August 2019): 1283–90. http://dx.doi.org/10.1109/tla.2019.8932337.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Bai, Yu, Shimao He, Wenjing Nie, Jing Gao, and Xueqing Song. "Plane grid structure damage location identification by model curvature." Procedia Engineering 31 (2012): 534–40. http://dx.doi.org/10.1016/j.proeng.2012.01.1064.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Liberatore, S., and G. P. Carman. "Power spectral density analysis for damage identification and location." Journal of Sound and Vibration 274, no. 3-5 (July 2004): 761–76. http://dx.doi.org/10.1016/s0022-460x(03)00785-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Zheng, Zhong Lang, and Qin Da Zeng. "Damage Identification of Cantilevered Beam Based on Multi-Resolution Analysis." Applied Mechanics and Materials 487 (January 2014): 267–71. http://dx.doi.org/10.4028/www.scientific.net/amm.487.267.

Full text

Abstract:

As a derivative parameter of the structural displacement mode, damage factor matrix was adopted to investigate the detection of structural crack location and damage. A methodological strategy by combination of the damage factor matrix and the wavelet multi-resolution analysis is presented in the paper, in order to identify structural damages of the cantilevered beam. The results show that damage can be identified by the damage factor matrix and the wavelet multi-resolution analysis, and the damage degree can be estimated by damage frequency band energy of the wavelet analysis. A reference to damage identification in current structure engineering is provided.

APA, Harvard, Vancouver, ISO, and other styles

31

Tsai, W. H., and J. C. S. Yang. "Nondestructive Evaluation of Composite Structures Using System Identification Technique." Journal of Engineering Materials and Technology 110, no. 2 (April 1, 1988): 134–39. http://dx.doi.org/10.1115/1.3226021.

Full text

Abstract:

A system identification technique is presented for nondestructive test to detect and to characterize the existence and location of cracks and other damages in composite structures. Various composite structures, including Kevlar-epoxy plate, graphite epoxy ring, and graphite-epoxy coupon have been tested for different damages such as crack, delamination, impact damage, fatigue damage, etc. In addition, the correlation between severity of any type of the damages mentioned above and changes in identified system parameters has also been systematically studied.

APA, Harvard, Vancouver, ISO, and other styles

32

Bae, Bum Won, In Pil Kang, and Yeon Sun Choi. "A Gear Chain Fault Detection Method Using an Adaptive Interference Canceling." Key Engineering Materials 345-346 (August 2007): 1303–6. http://dx.doi.org/10.4028/www.scientific.net/kem.345-346.1303.

Full text

Abstract:

A fault diagnosis method based on wavelet and adaptive interference canceling is presented for the identification of a damaged gear tooth. A damaged tooth of a certain gear chain generates impulsive signals that could be informative to fault detections. Many publications are available not only for the impulsive vibration signal analysis but the application of signal processing techniques to the impulsive signal detections. However, most of the studies about the gear fault detection using the impulsive vibration signals of a driving gear chain are limited to the verification of damage existence on a gear pair. Requirements for more advanced method locating damaged tooth in a driving gear chain should be a motivation of further studies. In this work an adaptive interference canceling combined with wavelet method is used for a successful identification of the damaged tooth location. An application of the wavelet technique provides a superior resolution for the damage detection to the traditional frequency spectrum based methods. An analysis and experiment with three pair gear chain show the feasibility of this study yielding a precise location of the damaged gear tooth.

APA, Harvard, Vancouver, ISO, and other styles

33

Chen, Xue Feng, Zheng Jia He, Qiang Gao, and Yanyang Zi. "Identification of Crack Damage with Wavelet Finite Element." Key Engineering Materials 293-294 (September 2005): 63–70. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.63.

Full text

Abstract:

An improved method to identify the crack location and size is presented which takes advantages of wavelet finite element (WFE). The important property of wavelet analysis is the capability to represent functions in a dynamic multiscale manner, so solution with WFE enables a hierarchical approximation to the exact solution. WFE has good ability in modal analysis for singularity problems like a cracked beam. The crack in a beam is modeled with WFE and represented as a rotational spring. The additional flexibility caused by crack in its vicinity is evaluated according to linear and elastic fracture mechanics theory. The WFE stiffness matrix of the crack is constructed and the algorithm for crack identification through the use of vibration-based inspection (VBI) is developed. With the accurate natural frequencies obtained from the transient signal measured, graphs of crack equivalent stiffness versus crack location are plotted, by providing the first three natural frequencies as an input. The intersection of the three curves gives the crack location and size. Experimental studies of cracked shafts are presented to demonstrate the accuracy of the method. The error in identification of crack location and size are both less than 2%. This study provides the new method for the diagnosis of incipient small crack.

APA, Harvard, Vancouver, ISO, and other styles

34

Yang, Xiao Ming, and Ya Mei Mi. "Damage Identification of Benchmark Structure Using ANN." Applied Mechanics and Materials 152-154 (January 2012): 796–801. http://dx.doi.org/10.4028/www.scientific.net/amm.152-154.796.

Full text

Abstract:

This paper presents an application of artificial neural network for damage identification of benchmark structure that is developed by the ASCE Task Group on Structure Health Monitoring. Many SHM studies apply their methods to the benchmark structure and test their methods. The benchmark structure is divided to three substructures such as brace, column and beam, so the first stage of damage identification is that the damage substructure is identified and the second stage of damage identification is that damage location in substructure is identified. When the damage identification is numerical simulated, the single damage and multi-damage are considered. The method of two stages is applied in the two conditions and ANN is used in every stage. From the result of numerical simulation, ANN can correctly identify the damage substructure and damage location in brace substructure and column substructure.

APA, Harvard, Vancouver, ISO, and other styles

35

Li, Yong Jun, Li Yuan Ma, and Tian Hui Wang. "Damage Identification for Curl Tube Structure Based on Modal Flexibility Curvature." Advanced Materials Research 490-495 (March 2012): 2151–55. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.2151.

Full text

Abstract:

To detect the damage of curl tube structure with more effect, the finite element method (FEM) and experimental modal analysis (EMA) were employeed to generate the modal flexibility of the curl tube. The modal flexibility was used to compute the modal flexibility-curvature by using the central difference method. Different degrees and locations of damage were simulated by additional quality in the intact curl tube to verify the modal flexibility-curvature and difference generated by both FEM and EMA. The results show that the modal flexibility of curl tube should have the direction. In addition, we conclude that the flexibility curvature’s difference in x and y plane can not be used for damage identification. But using the flexibility curvature’s difference of the z direction in the vertical plane, we can not only identified the multiple damage location, but also to analized degree for the extent of injury to the same location .

APA, Harvard, Vancouver, ISO, and other styles

36

Shangguan, Zi Chang, Shou Ju Li, and Mao Tian Luan. "Damage Identification of Rock Mass with Artificial Neural Networks." Key Engineering Materials 353-358 (September 2007): 2325–28. http://dx.doi.org/10.4028/www.scientific.net/kem.353-358.2325.

Full text

Abstract:

The inverse problem of rock damage detection is formulated as an optimization problem, which is then solved by using artificial neural networks. Convergence measurements of displacements at a few of positions are used to determine the location and magnitude of the damaged rock in the excavation disturbed zones. Unlike the classical optimum methods, ANN is able to globally converge. However, the most frequently used Back-Propagation neural networks have a set of problems: dependence on initial parameters, long training time, lack of problemindependent way to choose appropriate network topology and incomprehensive nature of ANNs. To identify the location and magnitude of the damaged rock using an artificial neural network is feasible and a well trained artificial neural network by Levenberg-Marquardt algorithm reveals an extremely fast convergence and a high degree of accuracy.

APA, Harvard, Vancouver, ISO, and other styles

37

Zeng, Yongping, Yongyi Yan, Shun Weng, Yanhua Sun, Wei Tian, and Hong Yu. "Fuzzy clustering of time-series model to damage identification of structures." Advances in Structural Engineering 22, no. 4 (July 25, 2018): 868–81. http://dx.doi.org/10.1177/1369433218789191.

Full text

Abstract:

Time-series methods have been popularly used for damage identification of civil structure because of its output-only and non-model approach. Since the existence of structural damage is usually vague and not focussed on any particular time point, the switches in damage patterns from one time state to another are necessary to be treated in a fuzzy way. This article develops a damage identification method based on the fuzzy clustering of time-series model. The changes of model coefficients of time-series model are proposed to indicate the undamaged and damaged states by the fuzzy c-means clustering algorithm. The residual errors of time-series model are used to identify the damage location and damage severity. The proposed method is applied to an experimental segment lining and a numerical study of a practical bridge. The results verify that the proposed method is accurate and efficient to detect the structural damage location and severity. Since the computational process of time-series model and fuzzy clustering require low computational cost, the proposed data-based damage identification method is applicable to the online structural health monitoring system of large-scale civil structures.

APA, Harvard, Vancouver, ISO, and other styles

38

Todoroki, Akira, Masahito Ueda, and Yoshinobu Shimamura. "Damage Monitoring of Thick CFRP Beam Using Electrical Impedance Changes." Key Engineering Materials 353-358 (September 2007): 1298–301. http://dx.doi.org/10.4028/www.scientific.net/kem.353-358.1298.

Full text

Abstract:

Electrical resistance change method has been applied to monitor a delamination crack of a thin CFRP laminate. For a thick CFRP laminate, multiple delamination cracks are made with many matrix cracks, and the electric current in the thick CFRP laminate may not flow in the thickness direction due to the strong orthotropic electrical conductivity. The present study employs an electric impedance change method for the identification of damage location and dimension of the damaged area; applicability of the method is investigated experimentally using thick beam-type specimens fabricated from cross-ply laminates of 36 plies. After making the damage, electrical impedance was decreased. A residual stress relief model was proposed to explain the decrease. From the measured electrical impedance changes, the relationships between the electrical impedance changes and damages are obtained by means of response surfaces. The response surfaces estimated the damage location and dimension of the damaged area exactly even for the thick CFRP laminates. The electrical impedance change method can be used as an appropriate sensor for measurement of residual stress relief due to damages of thick CFRP laminates.

APA, Harvard, Vancouver, ISO, and other styles

39

Wang, Qiu Fen, and Fang Lin Huang. "Damage Identification of a Cantilever Beam with a Breathing Crack Based on Instantaneous Frequency." Advanced Materials Research 368-373 (October 2011): 2169–74. http://dx.doi.org/10.4028/www.scientific.net/amr.368-373.2169.

Full text

Abstract:

Damage identification for a cantilever beam with a breathing crack was presented based on instantaneous frequency(IF). One time-varying stiffness model was introduced by considering the breathing effect of the crack in vibration. A simplified single-degree-of-freedom(SDOF) time-varying dynamic differential equation was built. Relationships between the structural instantaneous frequencies (IFs) and damage location and degree were analyzed. IFs of the free vibration displacements were estimated by using phase difference and Teager energy operator (TEO).Moreover the influence of noise on IFs estimation was discussed. Damage indices were built by IFs and the damage degree was identified. Structural IFs are two-dimension function of damage location and degree and the intra-wave phenomenon of IFs verified the non-linearity of damaged structure. The damage indices based on IFs are more reliable than traditional frequency on identifying damage degree and have some anti-noise properties.

APA, Harvard, Vancouver, ISO, and other styles

40

Huang, Ming-Chih, Yen-Po Wang, and Ming-Lian Chang. "Damage Detection of Structures Identified with Deterministic-Stochastic Models Using Seismic Data." Scientific World Journal 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/879341.

Full text

Abstract:

A deterministic-stochastic subspace identification method is adopted and experimentally verified in this study to identify the equivalent single-input-multiple-output system parameters of the discrete-time state equation. The method of damage locating vector (DLV) is then considered for damage detection. A series of shaking table tests using a five-storey steel frame has been conducted. Both single and multiple damage conditions at various locations have been considered. In the system identification analysis, either full or partial observation conditions have been taken into account. It has been shown that the damaged stories can be identified from global responses of the structure to earthquakes if sufficiently observed. In addition to detecting damage(s) with respect to the intact structure, identification of new or extended damages of the as-damaged counterpart has also been studied. This study gives further insights into the scheme in terms of effectiveness, robustness, and limitation for damage localization of frame systems.

APA, Harvard, Vancouver, ISO, and other styles

41

Hu, Zhixiang, Huiyu Zhu, Lei Huang, and Cheng Cheng. "Damage Identification Method and Uncertainty Analysis of Beam Structures Based on SVM and Swarm Intelligence Algorithm." Buildings 12, no. 11 (November 11, 2022): 1950. http://dx.doi.org/10.3390/buildings12111950.

Full text

Abstract:

A two-stage damage identification method for beam structures based on support vector machine and swarm intelligence optimization algorithms is proposed. First, the frequencies and mode shapes of the beam structure are obtained using the smooth orthogonal decomposition method, and the normalized modal curvature is calculated as the input of a pre-trained support vector machine to determine the damage location. Then, the stiffness loss at the damaged location of the structure is calculated using swarm intelligence algorithms. The fitness function is the sum of the residual squares of the frequencies of the damaged structure identified by the smooth orthogonal decomposition method and the frequencies calculated for each iteration of the intelligent optimization algorithm. Numerical examples of a damaged simply supported beam structure are used to verify the damage identification performance of the two-stage method. The accuracy of the support vector machine model under different damage degrees and noise levels is studied using the Monte-Carlo method, and an uncertainty of the damage degree prediction value is studied by comparing the particle swarm optimization algorithm, moth-fire algorithm, and mayfly algorithm.

APA, Harvard, Vancouver, ISO, and other styles

42

Chen, Wei, and Lin Zhou. "High-Level Structure of the Shear Parameter Identification and Damage Detection Based on Elman Neural Network." Advanced Materials Research 562-564 (August 2012): 886–89. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.886.

Full text

Abstract:

This paper presents a new method, based on Elman neural network approach for structural parameter identification. According to the Features of shear-type structure, Proposed identification strategy of the structure parameter and damage detection method. Determine the structural damage and Recognition of damage location and extent of damage by comparing different periods of the structure stiffness. Simulation results show that this method identified structural stiffness values are still high accuracy, and to achieve accurate identification and location of structural damage.

APA, Harvard, Vancouver, ISO, and other styles

43

HoThu, Hien, and Akira Mita. "Damage Location Index of Shear Structures Based on Changes in First Two Natural Frequencies." Journal of Structures 2014 (June 22, 2014): 1–7. http://dx.doi.org/10.1155/2014/520310.

Full text

Abstract:

A method of detecting the location of damage in shear structures by using only the changes in first two natural frequencies of the translational modes is proposed. This damage detection method can determine the damage location in a shear building by using a Damage Location Index (DLI) based on two natural frequencies for undamaged and damaged states. In this study, damage is assumed to be represented by the reduction in stiffness. This stiffness reduction results in a change in natural frequencies. The uncertainty associated with system identification methods for obtaining natural frequencies is also carefully considered. Some simulations and experiments on shear structures were conducted to verify the performance of the proposed method.

APA, Harvard, Vancouver, ISO, and other styles

44

Zhao, Mingjie, Guoyin Wu, and Kui Wang. "Comparative Analysis of Dynamic Response of Damaged Wharf Frame Structure under the Combined Action of Ship Collision Load and Other Static Loads." Buildings 12, no. 8 (July 30, 2022): 1131. http://dx.doi.org/10.3390/buildings12081131.

Full text

Abstract:

In the long-term service, the wharf structure can be damaged by ship impact, wave load, and even earthquake, which will affect the safe production and smooth operation of the port. Based on the theory of structural dynamic response analysis and wavelet packet analysis principle, this paper established the damage identification index of the wharf frame structure. Combining with the finite element method and the dynamic response theory of the wharf frame structure, it set up a finite element analysis model of the dynamic response of the wharf frame structure under the action of multiple loads, with the impact load of the ship as the dynamic load under the non-damaged state and the different damaged states. In addition, the characteristic response point location was drawn up. Furthermore, the transient dynamic analysis and damage index analysis of the frame structure in the non-damaged and damaged state were conducted respectively. In addition, the model test and numerical simulation results were combined to compare and analyze the identification of damage indicators, so as to verify the identification effect of the established damage identification indicators on the structural damage, which lays a foundation for the next step of structural damage identification.

APA, Harvard, Vancouver, ISO, and other styles

45

Zhao, Jian Hua, and Ling Zhang. "Damage Identification of a Beam-Like Structure Using Element Modal Strain Energies and Natural Frequencies." Applied Mechanics and Materials 94-96 (September 2011): 718–23. http://dx.doi.org/10.4028/www.scientific.net/amm.94-96.718.

Full text

Abstract:

A two-step damage identification method based on elemental modal strain energies and natural frequencies has been presented for a beam-like structure. In the first stage, this method makes use of the change of elemental modal strain energy before and after damage to locate the potential damage regions. And in the second stage, a damage identification algorithm based on the frequency changes is developed to calculate the damage extent and further determine the actual damage locations. The performance of the proposed method is numerically demonstrated by a simply supported beam with two damage cases. Results indicate that the method can identify the damage location and quantify the damage severity accurately in a beam-like structure.

APA, Harvard, Vancouver, ISO, and other styles

46

Lee, Sinyeob, Seongbin Jeong, and Junhong Park. "Damage identification using flexural vibration actuated and sensed by piezoelectric transducers." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 12 (December 20, 2013): 2132–40. http://dx.doi.org/10.1177/0954406213516438.

Full text

Abstract:

A diagnostic method of inspecting structural integrity using vibration, which is generated and monitored by piezoelectric transducers, is presented. When damage occurs in structures, the flexural-wave propagation characteristics change because of discontinuities in structural properties. To monitor this change, frequency-dependent variation of the wavenumber is measured from the piezoelectrically actuated harmonic vibration of a structure. The theoretical model was proposed to analyze the wave propagation and standing-wave pattern in the structure. Its prediction was compared to the measured vibration response on the basis of which the theoretical model was verified. Using the predicted response, the sensitivity of the potential energy to damage is obtained. With damages of different sizes and locations induced on the beam, the change in the wavenumber and equivalent dynamic stiffness was obtained from the measured transfer functions. The location and size of damage was identified from the damage index accurately. The correlation coefficient between the sensitivity of the potential energy and the variation of the dynamic stiffness was used in estimating the damage index. Analysis of the flexural-wave propagation from piezoelectric actuation allowed continued and precise structural health monitoring.

APA, Harvard, Vancouver, ISO, and other styles

47

Utyashev, I. M., and A. M. Akhtyamov. "Identification of pipeline damage using strain sensors." Proceedings of the Mavlyutov Institute of Mechanics 9, no. 2 (2012): 130–33. http://dx.doi.org/10.21662/uim2012.2.063.

Full text

Abstract:

There are situations when there is a breakthrough of a pipeline with oil products under water. As a result, oil spills on the surface, polluting the environment. Underwater currents and wind can carry an oil stain away from the point of leakage. Therefore, it is not always possible to visually determine the location of a pipeline break by a spot of oil on the surface.To solve such problems, it is proposed to install strain sensors along the pipeline, which take the values of the displacement derivative ∂u(x,t)/∂x (deformations) at different instants of time, and use the simplest model of a pipeline based on the equations of longitudinal oscillations of a homogeneous rod. Formulas for determining the moment and location of the pipeline rupture were obtained from the strain sensors data and a scheme of interaction with GLONASS was proposed that allows instantly detecting leaks and damages of pipelines laid under water and timely eliminating the consequences of the accident. The application of the proposed scheme minimizes the consequences of the accident for the environment and financial costs.

APA, Harvard, Vancouver, ISO, and other styles

48

Zou, Long Qing, Gui Juan Chen, Xing Jiang Gao, and Chu Hao Jiang. "Damage Identification Method Based on LMD Sample Entropy and SVM for Oil Derrick." Applied Mechanics and Materials 701-702 (December 2014): 620–23. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.620.

Full text

Abstract:

To identify damaged position of oil derrick, this paper presents a damage identification method for oil derrick using LMD and sample entropy to extract eigenvector and SVM to identify classes. Hammering vibration response signal of damaged derrick is decomposed into several PF components. The sample entropy of PF components is calculated and used as eigenvectors. SVM classifier is constructed based on eigenvectors of different damage location, and this method can identify damage position accurately. This method is verified by comparison with recognition result of LMD and information entropy.

APA, Harvard, Vancouver, ISO, and other styles

49

Zhang, Jun Hai, Nai Juan Du, and Yue Guo Shen. "Damage Identification Research of Cantilever Truss Based on the Principle of Strain Mode." Applied Mechanics and Materials 226-228 (November 2012): 1432–35. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.1432.

Full text

Abstract:

This paper presents a method converting the modal distance of the node into elemental strain based on the special characteristic of two-force element .The strain change before and after damage is applied to the damage identification. The change rule of the relative strain for the same location of the truss occur the various damage extent and the various location of the truss occur the same damage extent, respectively, is obtained according to the strain modal simulation using APDL language. The simulation results show that the strain modal change ratio is sensitive to the cantilever truss damage detection. The damage location and damage extent will be identified. It is an effective nodestructive test way to identify the cantilever truss structural damage.

APA, Harvard, Vancouver, ISO, and other styles

50

He, Jian, Liang Yang, Xiaodan Sun, and Muping Hu. "Damage identification in welded structures using symmetric excitation of Lamb waves." Advances in Mechanical Engineering 10, no. 9 (September 2018): 168781401879481. http://dx.doi.org/10.1177/1687814018794817.

Full text

Abstract:

Damage monitoring systems based on Lamb wave health monitoring technology have attracted considerable attention for scientific research and industrial applications. In this article, two types of single-mode Lamb waves are obtained using symmetric and anti-symmetric methods, respectively, to determine a crack identification signal. A numerical simulation of a welded steel plate model was conducted using the ABAQUS/EXPLICIT module, which is a dynamic solver. The propagation process and the corresponding effect of the Lamb waves over the complete and damaged models are simulated. According to the propagation characteristics and with the assistance of the ellipse localization method with MATLAB, the location of crack damage is simulated by the amplitude addition method and the crack damage location is determined. The results show that the simulation results are in good agreement with the actual crack damage. Furthermore, the received signals are compared and analyzed from an energy perspective. Two types of single-mode Lamb wave monitoring methods are also compared. In addition, it is demonstrated that a symmetric excitation can simplify the received waves and recognize crack damage in plates in welded steel structures from an experimental perspective of this work.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Damage identification and location'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles