Journal articles: 'Damage and detection'

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Vafaei, Mohammadreza, Azlan bin Adnan, and Mohammadreza Yadollahi. "Seismic Damage Detection Using Pushover Analysis." Advanced Materials Research 255-260 (May 2011): 2496–99. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.2496.

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Inter-story drift ratio is a general damage index which is being used to detect damaged stories after severe ground motions. Since this general damage index cannot detect damaged elements also the severity of imposed damages on elements, a new real-time seismic damage detection method base on artificial neural networks was proposed to overcome this issue. This approach considers nonlinear behaviour of structures and not only is capable of detecting damaged elements but also can address the severity of imposed damages. Proposed algorithm was applied on a 3-story concrete building .The obtained results confirmed accuracy and robustness of this method.

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Carminati, M., and S. Ricci. "Structural Damage Detection Using Nonlinear Vibrations." International Journal of Aerospace Engineering 2018 (September 25, 2018): 1–21. http://dx.doi.org/10.1155/2018/1901362.

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Nonlinear vibrations emerging from damaged structures are suitable indicators for detecting defects. When a crack arises, its behavior could be approximated like a bilinear stiffness. According to this scheme, typical nonlinear phenomena as the presence of superharmonics in the dynamic response and the variation of the oscillation frequency in time emerge. These physical consequences give the opportunity to study damage detection procedures with relevant improvements with respect to the typical strategies based on linear vibrations, such as high sensitivity to small damages, no need for an accurate comparison model, and behavior not influenced by environmental conditions. This paper presents a methodology, which aims at finding suitable nonlinear phenomena for the damage detection of three contact-type damages in a panel representing a typical aeronautical structural component. At first, structural simulations are executed using MSC Nastran models and reduced dynamic models in MATLAB in order to highlight relevant nonlinear behaviors. Then, proper experimental tests are developed in order to look for the nonlinear phenomena identified: presence of superharmonics in the dynamic response and nonlinear behavior of the lower frequency of vibration, computed using the CWT (continuous wavelet transform). The proposed approach exhibits the possibility to detect and localize contact-type damages present in a realistic assembled structure.

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Stoykov, Stanislav, Emil Manoach, and Maosen Cao. "Vibration Based Damage Detection of Rotating Beams." MATEC Web of Conferences 148 (2018): 14008. http://dx.doi.org/10.1051/matecconf/201814814008.

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The early detection and localization of damages is essential for operation, maintenance and cost of the structures. Because the frequency of vibration cannot be controlled in real-life structures, the methods for damage detection should work for wide range of frequencies. In the current work, the equation of motion of rotating beam is derived and presented and the damage is modelled by reduced thickness. Vibration based methods which use Poincaré maps are implemented for damage localization. It is shown that for clamped-free boundary conditions these methods are not always reliable and their success depends on the excitation frequency. The shapes of vibration of damaged and undamaged beams are shown and it is concluded that appropriate selection criteria should be defined for successful detection and localization of damages.

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Riddihough, G. "Damage Detection." Science Signaling 1, no. 24 (June 17, 2008): ec227-ec227. http://dx.doi.org/10.1126/scisignal.124ec227.

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Zhang, Yu, Xin Feng, Zhe Fan, Shuang Hou, Tong Zhu, and Jing Zhou. "Experimental investigations on seismic damage monitoring of concrete dams using distributed lead zirconate titanate sensor network." Advances in Structural Engineering 20, no. 2 (July 28, 2016): 170–79. http://dx.doi.org/10.1177/1369433216660002.

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Seismic damage detection of concrete dams has always attracted much attention in hydraulic structure community. In this article, a novel seismic damage detection system was developed to perform seismic damage monitoring in concrete dams. As its importance in achieving the dam damage detection, the arrangement of a distributed lead zirconate titanate sensor network was introduced in detail. A dam model system with a distributed lead zirconate titanate sensor network was used as an object for verification. A shaking table was used to simulate the earthquake ground motion for the object to be tested. The seismic damage detection system could be used in not only the seismic damage process monitoring by measuring the dynamic stress history but also the distributed detecting of the dam damaged region. By analyzing the sensor signals, the emergence and development of the structural damages could be monitored timely. A damage index matrix was presented to evaluate the damage status of the dam in different paths. The experimental results verified the timeliness and the effectiveness of the proposed method.

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NASERALAVI, S. S., S. GERIST, E. SALAJEGHEH, and J. SALAJEGHEH. "ELABORATE STRUCTURAL DAMAGE DETECTION USING AN IMPROVED GENETIC ALGORITHM AND MODAL DATA." International Journal of Structural Stability and Dynamics 13, no. 06 (July 2, 2013): 1350024. http://dx.doi.org/10.1142/s0219455413500247.

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This paper addresses a proficient strategy for detection of structural damages in details using the variations of eigenvalues and eigenvectors. There are two concerns in this study. First, the severity of damage can vary within the damaged elements; second, it is possible that the damage extents do not exactly match the pre-generated finite element mesh. The first concern forms the motivation for employing the proper damage functions to model the elemental damages, and the second for considering the nodal positions as design variables. To obtain the design variables, an improved genetic algorithm is introduced in which two new operators are embedded. This strategy is applied to a beam and a plate structure as the cases of study. The results demonstrate the applicability and efficiency of the proposed algorithm in elaborate damage detections.

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Park, Sang-Eun, and Yoon Taek Jung. "Detection of Earthquake-Induced Building Damages Using Polarimetric SAR Data." Remote Sensing 12, no. 1 (January 1, 2020): 137. http://dx.doi.org/10.3390/rs12010137.

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Remote sensing, particularly using synthetic aperture radar (SAR) systems, can be an effective tool in detecting and assessing the area and amount of building damages caused by earthquake or tsunami. Several studies have provided experimental evidence for the importance of polarimetric SAR observations in building damage detection and assessment, particularly caused by a tsunami. This study aims to evaluate the practical applicability of the polarimetric SAR observations to building damage caused by the direct ground-shaking of an earthquake. The urban areas heavily damaged by the 2016 Kumamoto earthquake in Japan have been investigated by using the polarimetric PALSAR-2 data acquired in pre- and post-earthquake conditions. Several polarimetric change detection approaches, such as the changes of polarimetric scattering powers, the matrix dissimilarity measures, and changes of the radar scattering mechanisms, were examined. Optimal damage indicators in the presence of significant natural changes, and a novel change detection method by the fuzzy-based fusion of polarimetric damage indicators are proposed. The accuracy analysis results show that the proposed automatic classification method can successfully detect the selected damaged areas with a detection rate of 90.9% and false-alarm rate of 1.3%.

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Duarte, D., F. Nex, N. Kerle, and G. Vosselman. "DAMAGE DETECTION ON BUILDING FAÇADES USING MULTI-TEMPORAL AERIAL OBLIQUE IMAGERY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5 (May 29, 2019): 29–36. http://dx.doi.org/10.5194/isprs-annals-iv-2-w5-29-2019.

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<p><strong>Abstract.</strong> Over the past decades, a special interest has been given to remote-sensing imagery to automate the detection of damaged buildings. Given the large areas it may cover and the possibility of automation of the damage detection process, when comparing with lengthy and costly ground observations. Currently, most image-based damage detection approaches rely on Convolutional Neural Networks (CNN). These are used to determine if a given image patch shows damage or not in a binary classification approach. However, such approaches are often trained using image samples containing only debris and rubble piles. Since such approaches often aim at detecting partial or totally collapsed buildings from remote-sensing imagery. Hence, such approaches might not be applicable when the aim is to detect façade damages. This is due to the fact that façade damages also include spalling, cracks and other small signs of damage. Only a few studies focus their damage analysis on the façade and a multi-temporal approach is still missing. In this paper, a multi-temporal approach specifically designed for the image classification of façade damages is presented. To this end, three multi-temporal approaches are compared with two mono-temporal approaches. Regarding the multi-temporal approaches the objective is to understand the optimal fusion between the two imagery epochs within a CNN. The results show that the multi-temporal approaches outperform the mono-temporal ones by up to 22% in accuracy.</p>

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Titurus, Branislav, Michael I. Friswell, and Ladislav Starek. "Damage detection using generic elements: Part II. Damage detection." Computers & Structures 81, no. 24-25 (September 2003): 2287–99. http://dx.doi.org/10.1016/s0045-7949(03)00318-3.

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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.

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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.

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Escobar, J. Alberto, J. Jesús Sosa, and Roberto Gómez. "Damage detection in framed buildings." Canadian Journal of Civil Engineering 28, no. 1 (February 1, 2001): 35–47. http://dx.doi.org/10.1139/l00-071.

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The transformation matrix method for damage detection in structural elements of frame buildings, expressed as the loss of stiffness, is proposed and evaluated. The method, which allows the locating and assessing of the damage magnitude of structural elements by considering the contribution of each of them to the overall performance of the structure, is applicable to two- and three-dimensional building frames of several storeys and bays with one or several damaged elements. Effects of uncertainties in the experimental measurements of the dynamic characteristics and in the precision of the numerical representation of the structure on the method proposed are evaluated. A three-dimensional frame model with different simulated damage states and a reinforced concrete plane frame model damaged using an earthquake record as excitation are studied. Results show the good agreement between the estimated damage computed with the proposed method and the true value of damage.Key words: damage detection, transformation matrix, structural damage, damage assessment.

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Duvnjak, Ivan, Domagoj Damjanović, Marko Bartolac, and Ana Skender. "Mode Shape-Based Damage Detection Method (MSDI): Experimental Validation." Applied Sciences 11, no. 10 (May 18, 2021): 4589. http://dx.doi.org/10.3390/app11104589.

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The main principle of vibration-based damage detection in structures is to interpret the changes in dynamic properties of the structure as indicators of damage. In this study, the mode shape damage index (MSDI) method was used to identify discrete damages in plate-like structures. This damage index is based on the difference between modified modal displacements in the undamaged and damaged state of the structure. In order to assess the advantages and limitations of the proposed algorithm, we performed experimental modal analysis on a reinforced concrete (RC) plate under 10 different damage cases. The MSDI values were calculated through considering single and/or multiple damage locations, different levels of damage, and boundary conditions. The experimental results confirmed that the MSDI method can be used to detect the existence of damage, identify single and/or multiple damage locations, and estimate damage severity in the case of single discrete damage.

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Lee, Eun-Taik, and Hee-Chang Eun. "Disassembling-Based Structural Damage Detection Using Static Measurement Data." Shock and Vibration 2019 (October 31, 2019): 1–12. http://dx.doi.org/10.1155/2019/6073828.

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Damage detection methods can be classified into global and local approaches depending on the division of measurement locations in a structure. The former utilizes measurement data at all degrees of freedom (DOFs) for structural damage detection, while the latter utilizes data of members and substructures at a few DOFs. This paper presents a local method to detect damages by disassembling an entire structure into members. The constraint forces acting at the measured DOFs of the disassembled elements at the damaged state, and their internal stresses, are predicted. The proposed method detects locally damaged members of the entire structure by comparing the stress variations before and after damage. The static local damage can be explicitly detected when it is positioned along the constraint load paths. The validity of the proposed method is illustrated through the damage detection of two truss structures, and the disassembling (i.e., local) and global approaches are compared using numerical examples. The numerical applications consider the noise effect and single and multiple damage cases, including vertical, diagonal, and chord members of truss structures.

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Qin, Qi Ming, Hai Jian Ma, and Jun Li. "Damage Detection and Assessment System of Roads for Decision Support for Disaster." Key Engineering Materials 467-469 (February 2011): 1144–49. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1144.

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After the occurrence of significant natural disaster, the resulting damaged roads interrupt the rapid emergency response for disaster, and therefore, the disaster relief department is desperate for the destruction condition of roads in the devastated region, which can help make relief decisions and deploy rescue actions. In view of the practical needs of the disaster relief department and the objective fact that at present there is not any special, high automatic damage detection system of roads, we develop Road Damage Detection and Evaluation System (RODDES). Using the basic road data in GIS (Geographical information system) as the prior knowledge, the system extracts the pre-disaster and post-disaster roads from post-disaster remotely sensed imageries, and then detects the damaged regions and evaluates the destruction condition. This paper emphasizes the overall design of the system and the submodule design and their functions. The system is applied in detecting and evaluating the damaged roads in Wenchuan County, China and the experiment results show that nearly all producer’s and user’s accuracies of the road extractions and damage detections are above 75%, and it accurately evaluates the destruction condition of roads.

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WANG, GAO-PING, YONG HONG, DONG-PYO HONG, and YOUNG-MOON KIM. "DAMAGE DETECTION OF TRUSS-LIKE STRUCTURES USING WAVELET TRANSFORMS." Modern Physics Letters B 22, no. 11 (May 10, 2008): 1165–70. http://dx.doi.org/10.1142/s0217984908016017.

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This study deals with the application of wavelet transforms to the damage detection of truss-like structures. The principles of damage detection by using the wavelet transforms are interpreted and the damage detection capabilities of wave transforms for cracks are demonstrated by numerical and experimental methods. Numerical simulation in combination with the wavelet transforms provides reliable numerical results and the guided wave method using smart materials enables the experimental verification of the numerical results. The basic component elements of truss structures, i.e., beams, are studied first, and subsequently complex structures are considered. The information extracted from the simulation data by using the wavelet transforms shows considerably accurate signatures for localization of damages. In particular, the study considers the influence of structural discontinuities and loading points on damage detection of crack localization. The information extracted from the signal by using the numerical and experimental methods employing the wavelet transforms shows the robustness of the methods in detecting damages in simple and complex structures.

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ZHOU, XIAO-QING, and WEN HUANG. "VIBRATION-BASED STRUCTURAL DAMAGE DETECTION UNDER VARYING TEMPERATURE CONDITIONS." International Journal of Structural Stability and Dynamics 13, no. 05 (May 28, 2013): 1250082. http://dx.doi.org/10.1142/s0219455412500824.

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In vibration-based structural damage detection, it is necessary to discriminate the variation of structural properties due to environmental changes from those caused by structural damages. The present paper aims to investigate the temperature effect on vibration-based structural damage detection in which the vibration data are measured under varying temperature conditions. A simply-supported slab was tested in laboratory to extract the vibration properties with modal testing. The slab was then damaged and the modal testing was conducted again, in which the temperature varied. The modal data measured under different temperature conditions were used to detect the damage with a two-stage model updating technique. Some damage was falsely detected if the temperature variation was not considered. Natural frequencies were then corrected to those under the same temperature conditions according to the relation between the temperature and material modulus. It is shown that all of the damaged elements can be accurately identified.

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ZHU, XINQUN, and HONG HAO. "DAMAGE DETECTION OF RC SLABS USING NONLINEAR VIBRATION FEATURES." International Journal of Structural Stability and Dynamics 09, no. 04 (December 2009): 687–709. http://dx.doi.org/10.1142/s0219455409003247.

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Studied herein are the signatures of nonlinear vibration characteristics of damaged reinforced concrete structures using the wavelet transform (WT). A two-span RC slab built in 2003 was tested to failure in the laboratory. Vibration measurements were carried out at various stages of structural damage. The vibration frequencies, mode shapes, and damping ratios at each loading stage were extracted and analyzed. It is found that the vibration frequencies are not sensitive to small damages, but are good indicators when damage is severe. The dynamic responses are also analyzed in the time–frequency domain by WT and the skeleton curve is constructed to describe the nonlinear characteristics in the reinforced concrete structures. The results show that the skeleton curves are good indicators of damage in the reinforced concrete structures because they are more sensitive to small damages than vibration frequencies.

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Sharif-Khodaei, Z., Omar Bacarreza, and M. H. Aliabadi. "Lamb-Wave Based Technique for Multi-Site Damage Detection." Key Engineering Materials 577-578 (September 2013): 133–36. http://dx.doi.org/10.4028/www.scientific.net/kem.577-578.133.

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The propagation characteristic of Lamb waves activated by Piezoelectric actuators and collected by sensors in a stiffened panel has been investigated. A network of actuators is used to scan the structure before and after the presence of damage. A diagnostic imaging algorithm has been developed based on the probability of damage at each point of the structure measured by the signal reading of sensors in the baseline and damaged structure. A damage localization image is then reconstructed by superimposing the image obtained from each sensor-actuator path. Three-dimensional finite element model with a transducer network is modelled. Damage is introduced as a small softening area in the panel. Applying the imaging algorithm, the damage location was predicted with good accuracy. The validity of the algorithm was tested for multiple damages.

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WANG, Z., F. T. K. AU, and Y. S. CHENG. "STATISTICAL DAMAGE DETECTION BASED ON FREQUENCIES OF SENSITIVITY-ENHANCED STRUCTURES." International Journal of Structural Stability and Dynamics 08, no. 02 (June 2008): 231–55. http://dx.doi.org/10.1142/s0219455408002636.

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A statistical method using frequencies of structures under control is proposed for detecting damage. In the study, feedback control based on independent modal space control is first used to assign the pole of the system under detection intentionally. Then the prescribed characteristic frequencies of the structure under control, which may be more sensitive to damage, are obtained and further employed to constitute a sensitivity-enhanced damage indicator (SEDI). The principle of sensitivity-enhancing feedback control for damage detection of multi-degree-of-freedom systems is elaborated. To overcome the effect of measurement noise on modal frequencies, a hypothesis test involving the t-test that utilizes the SEDI is employed to estimate the occurrence of damage, while a statistical pattern recognition method that uses the feature vectors including the SEDI is employed to locate damage. Based on the perturbation theory, the feature vectors are normalized in order to eliminate the effect of damage extent on damage localization. The proposed method is verified by examples including a three-span continuous beam with a single damaged element and the IASC-ASCE benchmark structure with a single damaged brace. Simulation results show that, by using the frequencies of the structures under control, the proposed damage indicators are more sensitive to damage and are capable of detecting and locating small damage of structures.

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Dong, Ensheng, Yong Gui Dong, Wener Lv, Huibo Jia, and Jun Li. "A Uniplanar Capacitive Approach for Subsurface Damage Detection of Nonmetallic Materials." Key Engineering Materials 293-294 (September 2005): 617–24. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.617.

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The detection and characterisation of subsurface flaws in nonmetallic materials are very important for people’s health, lives, and environment. Possible damage must be detected early and reliably. A capacitive approach for detecting the subsurface cracks is discussed. A uniplanar capacitive sensor with multi-electrodes for obtaining the corresponding electrical capacitance information of the measured slab is presented. An experimental rig, which is composed of a uniplanar capacitive sensor of 8-electrodes and two engineering plastic samples, has been built for damage detection of nonmetallic material. Principal component analysis is used to extract relevant features from capacitance values for damage detection and identification. The simulated, as well as the preliminary experimental results show that the current approach is capable of detecting subsurface damages of nonmetallic materials and discriminating the flaws. The proposed approach is feasible and effective for damage detection and health monitoring.

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Wu, Yu-Han, and Xiao-Qing Zhou. "L1 Regularized Model Updating for Structural Damage Detection." International Journal of Structural Stability and Dynamics 18, no. 12 (November 9, 2018): 1850157. http://dx.doi.org/10.1142/s0219455418501572.

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Model updating methods based on structural vibration data have been developed and applied to detecting structural damages in civil engineering. Compared with the large number of elements in the entire structure of interest, the number of damaged elements which are represented by the stiffness reduction is usually small. However, the widely used [Formula: see text] regularized model updating is unable to detect the sparse feature of the damage in a structure. In this paper, the [Formula: see text] regularized model updating based on the sparse recovery theory is developed to detect structural damage. Two different criteria are considered, namely, the frequencies and the combination of frequencies and mode shapes. In addition, a one-step model updating approach is used in which the measured modal data before and after the occurrence of damage will be compared directly and an accurate analytical model is not needed. A selection method for the [Formula: see text] regularization parameter is also developed. An experimental cantilever beam is used to demonstrate the effectiveness of the proposed method. The results show that the [Formula: see text] regularization approach can be successfully used to detect the sparse damaged elements using the first six modal data, whereas the [Formula: see text] counterpart cannot. The influence of the measurement quantity on the damage detection results is also studied.

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Mai, Yiu-Wing, and Lin Ye. "PL1W0032 On Smart Materials, Smart Structures and Damage Detection." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2003.2 (2003): _PL1W0032——_PL1W0032—. http://dx.doi.org/10.1299/jsmeatem.2003.2._pl1w0032-.

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Zhou, Yun-Lai, Nuno M. M. Maia, Rui P. C. Sampaio, and Magd Abdel Wahab. "Structural damage detection using transmissibility together with hierarchical clustering analysis and similarity measure." Structural Health Monitoring 16, no. 6 (December 15, 2016): 711–31. http://dx.doi.org/10.1177/1475921716680849.

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Maintenance and repairing in actual engineering for long-term used structures, such as pipelines and bridges, make structural damage detection indispensable, as an unanticipated damage may give rise to a disaster, leading to huge economic loss. A new approach for detecting structural damage using transmissibility together with hierarchical clustering and similarity analysis is proposed in this study. Transmissibility is derived from the structural dynamic responses characterizing the structural state. First, for damage detection analysis, hierarchical clustering analysis is adopted to discriminate the damaged scenarios from an unsupervised perspective, taking transmissibility as feature for discriminating damaged patterns from undamaged ones. This is unlike directly predicting the structural damage from the indicators manifestation, as sometimes this can be vague due to the small difference between damaged scenarios and the intact baseline. For comparison reasons, cosine similarity measure and distance measure are also adopted to draw out sensitive indicators, and correspondingly, these indicators will manifest in recognizing damaged patterns from the intact baseline. Finally, for verification purposes, simulated results on a 10-floor structure and experimental tests on a free-free beam are undertaken to check the suitability of the raised approach. The results of both studies are indicative of a good performance in detecting damage that might suggest potential application in actual engineering real life.

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Yan, Wei, Wan Chun Li, and Wei Wang. "Finite Element Model for Damage Detection in Three-Dimensional Cube Structures." Advanced Materials Research 430-432 (January 2012): 1468–71. http://dx.doi.org/10.4028/www.scientific.net/amr.430-432.1468.

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Based on three-dimensional finite element method (FEM), an accurate electro-mechanical impedance (EMI) model for a damaged cube structure is established in the paper. The damages are simulated by the reduction in Young’s modulus in the certain area of the cube structure. A coupled structural system consisting of PZT patch, bond layer and host structure is taken into account. Both the effects of the damage severity and damage propagation on EMI signatures are then investigated. The numerical computation indicates that the present EMI model can be employed to detect the damages in the structures.

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Chen, Xiao Yu, Kun Ma, Jia Quan Wu, and Xiang Guo. "Damage Detection through Changes in Frequency Base on Reinforced Concrete Beam." Advanced Materials Research 255-260 (May 2011): 188–92. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.188.

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The detection of the structur[1]al damage by the method of changes in frequency is limited in detecting single location of the structural damage. This paper try to solve the problems of how to detect the multi-location of the structural damages and the corresponding severity. Therefore, a simple supported large-size reinforced concrete beam in different damage conditions is simulated by the finite element software-ANSYS. Cruves of frequency changes ratio can be maped by the date of the simulation, the locations of damages and corresponding severity can be detection by judging the superposition of the intersections of many curves of the frequent changes ratio. The simulation results demonstrate that the method proposed in this paper cannot only detection the multi-locations of the structural damages accurately, but also analyze the severity of the structural damages qualitatively. Corresponding author: Makun, School of Science, Kunming University of Science and Technology, makun_box@sina.com

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Ashory, Mohammad-Reza, Ahmad Ghasemi-Ghalebahman, and Mohammad-Javad Kokabi. "Damage detection in laminated composite plates via an optimal wavelet selection criterion." Journal of Reinforced Plastics and Composites 35, no. 24 (September 30, 2016): 1761–75. http://dx.doi.org/10.1177/0731684416667563.

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Delamination is a potential risk of failure considered as one of the failure modes and frequently occurs in composites due to its relatively low inter-laminar fracture toughness. In recent years, the majority of activities in this field have been focused on raising the level of sensitivity of these devising methods for detecting tiny damages. In this article, damage detection method via wavelet transform has been examined, and an appropriate procedure has been proposed to increase sensitivity of this transform for damage detection. Among the inherent impediments of classical wavelet transforms, the generality of these transforms and ignoring the studied signal can be mentioned. Consequently, various wavelet selection algorithms leading to provide appropriate wavelet functions with respect to the characteristics of the signal have been examined. As a novelty in the field, the correlation between wavelet and strain energy signal is considered as a criterion for optimal wavelet selection. In wavelet transforms, in addition to original wavelet functions, the signals used for damage detection are also of high importance. To achieve this goal, the frequency-weighted strain energy ratio signals resulting from intact and damaged forms have been exploited. Also, the edges’ effects were removed through stringing of plane mode shape signals. Moreover, by summing wavelet coefficients in all scale factors plus natural frequencies, the focus can bring to the detection of one or more damages in a laminated composite plate with symmetric layup. Finally, a quantitative measure to compare different wavelets has been presented.

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Mahendran, G., Chandrasekaran Kesavan, and S. K. Malhotra. "Damage Detection in Laminated Composite Beams, Plates and Shells Using Dynamic Analysis." Applied Mechanics and Materials 787 (August 2015): 901–6. http://dx.doi.org/10.4028/www.scientific.net/amm.787.901.

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Vibration-based technique to detect damage in laminated composite beams, rectangular plates and cylindrical shells is presented in this paper.A parameter called damage indicator calculated based on mode shape curvature isused in this studyto detect the location and size of small damages accurately in laminated composite structures. Through numerical analysis of laminated compositecantilevered beam, plate and cylindrical shell models with edge crack as damage, the absolute change inthe damage indicator is localized in the region of damage. Thechange in damage indicatorincreases withincreasing size of damage. Thisinformationis obtained by considering two cases of damage sizes (case-1 and case-2)in the structures. Finite element methodbased commercial analysis package ANSYSis used to obtain thenormalized displacement mode shapesof the three models both for intact and damaged states and then the damage indicator is calculated from the mode shapes data.The numerical analysis to detect damage is followed by validation by experimental modal testing.

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Ghandour, Ali, and Abedelkarim Jezzini. "Post-War Building Damage Detection." Proceedings 2, no. 7 (March 22, 2018): 359. http://dx.doi.org/10.3390/ecrs-2-05172.

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Natural disasters and wars wreak havoc not only on individuals and critical infrastructure, but also leave behind ruined residential buildings and housings. The size, type and location of damaged houses are essential data sources for the post-disaster reconstruction process. Building damage detection due to war activities has not been thoroughly discussed in the literature. In this paper, an automated building damage detection technique that relies on both pre- and post-war aerial images is proposed. Building damage estimation was done using shadow information and Gray Level Co-occurrence Matrix features. Accuracy assessment applied over a Syrian war-affected zone near Damascus reveals the excellent performance of the proposed technique.

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Li, Cui Hong, Qiu Wei Yang, and Xue Shen. "Damage Detection for Cantilever Beam Structures Using Two-Stage Method." Applied Mechanics and Materials 351-352 (August 2013): 1084–87. http://dx.doi.org/10.4028/www.scientific.net/amm.351-352.1084.

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This paper presents a two-stage method for damage identification in cantilever beam structures using the incomplete measured static and dynamic paramenters. The first stage locates damages preliminary by using the static displacement changes, which is obtained by the static test of structure. It has been shown that the point from which the static displacement difference starts increasing linearly is the location of damage. After the suspected damaged elements are determined in the first stage, the first order sensitivity of the structural natural frequency is used to identify damages more precise in the second stage. The significant advantage of the proposed method is that it is economical in computation and is simple to implement. A cantilever beam structure is analyzed as a numerical example to verify the present method. Results show that the proposed method performs well even if the measurement errors inevitably make the damage assessment more difficult. It has been shown that the presented two-stage methodology may be a promising tool to be used by research groups working on experimental damage detection.

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Yu, Tai-Ho. "Plate Waves Scattering Analysis and Active Damage Detection." Sensors 21, no. 16 (August 13, 2021): 5458. http://dx.doi.org/10.3390/s21165458.

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This study investigates and evaluates the technology of using plate waves to detect the locations and sizes of circular holes and cracks in plates. Piezoelectric ceramic discs surface-mounted on both sides of an aluminum alloy plate were used as narrow-frequency plate wave actuators and sensors, and the antisymmetric plate wave signal was analyzed by wavelet transform in the time-frequency domain. The damage location and frequency spectrum characteristics were identified by the wave through time-of-flight difference and signal analysis of the damage scattered wave group. The plate wave signal of the damaged plate included the scattered wave signal and the plate wave signal transmitted directly between the piezoelectric discs. Under ideal conditions, the plate wave signal indicating damage can be obtained by subtracting the plate wave signal in a plate without damage from the plate wave signal scattered from actuators to sensors. This study established an optimization program based on the simplex algorithm to inversely calculate the location of the plate damage. The developed damage location objective function has a unique global minimum value that can ensure the accuracy of the damage location calculation, and good results were obtained in experiments. The spectral characteristics of the scattered plate wave were related to the type, size, wave propagation path, and incident angle of the damage. Numerical analyses of scattered spectra for various damages are needed as references to compare with experimental results in the future.

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Wang, Shanshan, Qingwen Ren, and Pizhong Qiao. "Structural Damage Detection Using Local Damage Factor." Journal of Vibration and Control 12, no. 9 (September 2006): 955–73. http://dx.doi.org/10.1177/1077546306068286.

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Tilon, S. M., F. Nex, D. Duarte, N. Kerle, and G. Vosselman. "INFRASTRUCTURE DEGRADATION AND POST-DISASTER DAMAGE DETECTION USING ANOMALY DETECTING GENERATIVE ADVERSARIAL NETWORKS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (August 3, 2020): 573–82. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-573-2020.

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Abstract. Degradation and damage detection provides essential information to maintenance workers in routine monitoring and to first responders in post-disaster scenarios. Despite advance in Earth Observation (EO), image analysis and deep learning techniques, the quality and quantity of training data for deep learning is still limited. As a result, no robust method has been found yet that can transfer and generalize well over a variety of geographic locations and typologies of damages. Since damages can be seen as anomalies, occurring sparingly over time and space, we propose to use an anomaly detecting Generative Adversarial Network (GAN) to detect damages. The main advantages of using GANs are that only healthy unannotated images are needed, and that a variety of damages, including the never before seen damage, can be detected. In this study we aimed to investigate 1) the ability of anomaly detecting GANs to detect degradation (potholes and cracks) in asphalt road infrastructures using Mobile Mapper imagery and building damage (collapsed buildings, rubble piles) using post-disaster aerial imagery, and 2) the sensitivity of this method against various types of pre-processing. Our results show that we can detect damages in urban scenes at satisfying levels but not on asphalt roads. Future work will investigate how to further classify the found damages and how to improve damage detection for asphalt roads.

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Hasanlou, Mahdi, Reza Shah-Hosseini, Seyd Teymoor Seydi, Sadra Karimzadeh, and Masashi Matsuoka. "Earthquake Damage Region Detection by Multitemporal Coherence Map Analysis of Radar and Multispectral Imagery." Remote Sensing 13, no. 6 (March 20, 2021): 1195. http://dx.doi.org/10.3390/rs13061195.

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Earth, as humans’ habitat, is constantly affected by natural events, such as floods, earthquakes, thunder, and drought among which earthquakes are considered one of the deadliest and most catastrophic natural disasters. The Iran-Iraq earthquake occurred in Kermanshah Province, Iran in November 2017. It was a 7.4-magnitude seismic event that caused immense damages and loss of life. The rapid detection of damages caused by earthquakes is of great importance for disaster management. Thanks to their wide coverage, high resolution, and low cost, remote-sensing images play an important role in environmental monitoring. This study presents a new damage detection method at the unsupervised level, using multitemporal optical and radar images acquired through Sentinel imagery. The proposed method is applied in two main phases: (1) automatic built-up extraction using spectral indices and active learning framework on Sentinel-2 imagery; (2) damage detection based on the multitemporal coherence map clustering and similarity measure analysis using Sentinel-1 imagery. The main advantage of the proposed method is that it is an unsupervised method with simple usage, a low computing burden, and using medium spatial resolution imagery that has good temporal resolution and is operative at any time and in any atmospheric conditions, with high accuracy for detecting deformations in buildings. The accuracy analysis of the proposed method found it visually and numerically comparable to other state-of-the-art methods for built-up area detection. The proposed method is capable of detecting built-up areas with an accuracy of more than 96% and a kappa of about 0.89 in overall comparison to other methods. Furthermore, the proposed method is also able to detect damaged regions compared to other state-of-the-art damage detection methods with an accuracy of more than 70%.

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Dong, Qian, and Zhe Wen. "Damage Detection Method for Pear Based on Computer Vision." Applied Mechanics and Materials 644-650 (September 2014): 1050–53. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1050.

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During the process of pear damage detection based on computer vision, there are many noise in image acquisition. For a long time, rapid detection equipment cannot be utilized to identify pear damage. To solve this problem, a method of identifying damage pear is studied. This paper proposes a method for pear damage identification based on geometric features. First, with morphological method to remove the noise of pearimage to obtain the best edge detection method and best threshold suitable to the pear damage, so as to detect the damaged edge of the image. The experimental results show that this method can effectively identify the damaged pear. Compared with conventional edge detection method, the recognition accuracy has been significantly improved, and solve the long-standing problem of automatic identification and improve the detection efficiency of pear damage.

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Nguyen, V. H., J. Mahowald, S. Maas, and J. C. Golinval. "Use of Time- and Frequency-Domain Approaches for Damage Detection in Civil Engineering Structures." Shock and Vibration 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/872492.

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The aim of this paper is to apply both time- and frequency-domain-based approaches on real-life civil engineering structures and to assess their capability for damage detection. The methodology is based on Principal Component Analysis of the Hankel matrix built from output-only measurements and of Frequency Response Functions. Damage detection is performed using the concept of subspace angles between a current (possibly damaged state) and a reference (undamaged) state. The first structure is the Champangshiehl Bridge located in Luxembourg. Several damage levels were intentionally created by cutting a growing number of prestressed tendons and vibration data were acquired by the University of Luxembourg for each damaged state. The second example consists in reinforced and prestressed concrete panels. Successive damages were introduced in the panels by loading heavy weights and by cutting steel wires. The illustrations show different consequences in damage identification by the considered techniques.

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Bernuau, Jacques, Serge Erlinger, and Dominique Valla. "Detection of hepatocellular damage." Lancet 356, no. 9234 (September 2000): 1029. http://dx.doi.org/10.1016/s0140-6736(05)72647-7.

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Knapen, Maarten FCM, Eric AP Steegers, Theo PJ Mulder, and Wilbert HM Peters. "Detection of hepatocellular damage." Lancet 356, no. 9234 (September 2000): 1030. http://dx.doi.org/10.1016/s0140-6736(05)72648-9.

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D. VanUtrecht, C. J. Bern, and I. H. Rukunudin. "SOYBEAN MECHANICAL DAMAGE DETECTION." Applied Engineering in Agriculture 16, no. 2 (2000): 137–41. http://dx.doi.org/10.13031/2013.5059.

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Vanlanduit, S., E. Parloo, and P. Guillaume. "Combined damage detection techniques." Journal of Sound and Vibration 266, no. 4 (September 2003): 815–31. http://dx.doi.org/10.1016/s0022-460x(02)01566-3.

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Minton, Kirsty. "DNA damage drives detection." Nature Reviews Immunology 13, no. 10 (September 16, 2013): 704–5. http://dx.doi.org/10.1038/nri3539.

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Petrone, Giuseppe, A. de Fenza, Donato Perfetto, A. de Luca, A. Sorrentino, and Francesco Caputo. "Probability Ellipse Method for Damage Detection in a Composite Winglet." Key Engineering Materials 827 (December 2019): 67–72. http://dx.doi.org/10.4028/www.scientific.net/kem.827.67.

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It is well known that composite materials are founding increasing applications in the transport field thanks to their high strength to mass ratio. However, their use in primary structures is very challenging because of their high sensitivity to in-service damages and manufacturing defects. As a result, the current adopted damage tolerance approach leads to the oversizing of such structures. Structural health monitoring systems, aimed to the real time damage detection, can provide several benefits in terms of lightweight of the structures, maintenance operations and inspection costs. This paper deals with the use of the Probability Ellipse (PE) method, based on the propagation of ultrasonic guided waves on a composite winglet of a small aircraft. The PE method estimates the probability of the presence of the damage in the monitored area, starting from the knowledge of selected damage indexes for each sensors-path. The winglet, equipped with piezoelectric sensors, usable as both actuating and receiving devices, has been numerically and experimentally investigated under several configurations, varying the actuator location. Sensitivity analysis has been performed to assess the effectiveness of the PE method. The accuracy of the PE method in detecting both location and damaged area is herein discussed.

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Arora, Vikas. "Use of damping identification technique for damage detection." MATEC Web of Conferences 148 (2018): 14004. http://dx.doi.org/10.1051/matecconf/201814814004.

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Stiffness-based structural health monitoring methods are widely used for detecting the damage in a structure. These stiffness-based structural health monitoring methods uses change in natural frequencies and modeshapes for damage detection. These methods are based on identifying the change in stiffness of the healthy and damage structure to predict the damage in the structure. These stiffness-based methods are not efficient for detecting a small damage in a structure as there is a negligible change in natural frequencies and modeshapes due to a small damage in a structure, however the damping characteristics of the structure are highly sensitive to the damage in a structure. In this paper, new damping-based damage detection procedure has been proposed. In the proposed procedure, the changes in damping matrix of the structure has been used to detect the damage in the structure. The proposed procedure is able (or can) to detect both the location of the damage and the extend of the damage in the structure. The proposed procedure of damping-based damage detection is a 2-step procedure. In the first step, damping matrices of both the healthy and damage structure are identified and in the second step, the identified damping matrices are used for damage detection. Numerical and experimental case studies are presented to demonstrate the effectiveness of the proposed procedure. The results have shown that the proposed damping-based damage detection procedure can be used for detecting damage in a structure with confidence.

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Holton, Nathaniel W., Yuval Ebenstein, and Natalie R. Gassman. "Broad spectrum detection of DNA damage by Repair Assisted Damage Detection (RADD)." DNA Repair 66-67 (June 2018): 42–49. http://dx.doi.org/10.1016/j.dnarep.2018.04.007.

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ZHANG, Hougui, Ruixiang SONG, Jie YANG, Dan WU, and Yingjie WANG. "Connection Damage Detection of Double Beam System under Moving Load with Genetic Algorithm." Mechanics 27, no. 1 (February 24, 2021): 80–87. http://dx.doi.org/10.5755/j02.mech.25500.

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In this paper, a novel damage detection approach for the spring connection of the double beam system using the dynamic response of the beam and genetic algorithm is presented. The double beam system is regarded as both Bernoulli-Euler beams with simply supported ends, the upper and lower beams are connected by a series of linear springs with certain intervals. With the genetic algorithm, the dynamic acceleration response of double beam system under moving load, which can be solved by the Newmark-β integration procedure, is used as the input data to detect the connection damage. Thus the dynamic response of the double beam system with a certain damage pattern can be calculated employing the moving load model. If the calculated result is quite close to the recorded response of the damaged bridge, this damage pattern will be the solution. The connection damage detection process of the proposed approach is presented herein, and its feasibility is studied from the numerical investigation with simple and multiple damages detection. It is concluded that the sophisticated damage conditions need much longer time to detect successfully.

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Yang, Zai Lin, Hamada M. Elgamal, and Yao Wang. "Damage Detection Using Lamb Waves (Review)." Advanced Materials Research 1028 (September 2014): 161–66. http://dx.doi.org/10.4028/www.scientific.net/amr.1028.161.

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Several techniques have been researched for detecting damage in plates. Each of these techniques offers their own unique advantages in detecting certain types of damage with various levels of analytical complexity. Lamb waves are guided waves that exist in thin walled structures. Because this type of wave can travel long distance with little attenuation, they have been studied intensively for structural health monitoring, especially in the past few decades. This paper presents an overview of using the Lamb waves in damage detection including the theory of lamb waves and the lamb-wave-based damage identification.

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Tabrizian, Zahra, Gholamreza Ghodrati Amiri, and Morteza Hossein Ali Beigy. "Charged System Search Algorithm Utilized for Structural Damage Detection." Shock and Vibration 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/194753.

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This paper presents damage detection and assessment methodology based on the changes in dynamic parameters of a structural system. The method is applied at an element level using a finite element model. According to continuum damage mechanics, damage is represented by a reduction factor of the element stiffness. A recently developed metaheuristic optimization algorithm known as the charged system search (CSS) is utilized for locating and quantifying the damaged areas of the structure. In order to demonstrate the abilities of this method, three examples are included comprising of a 10-elements cantilever beam, a Bowstring plane truss, and a 39-element three-story three-bay plane frame. The possible damage types in structures by considering several damage scenarios and using incomplete modal data are modeled. Finally, results are obtained from the CSS algorithm by detecting damage in these structures and compared to the results of the PSOPC algorithm. In addition, the effect of noise is shown in the results of the CSS algorithm by suitable diagrams. As is illustrated, this method has acceptable results in the structural detection damage with low computational time.

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Rodríguez, Rosamaria, A. Yarza, J. López-Díez, C. Cuerno-Rejado, and A. Güemes. "Damage Detection on Typical Aeronautical Structures." Key Engineering Materials 293-294 (September 2005): 677–84. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.677.

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The paper pursues the exploration of the feasibility and reliability of current damage detection technologies, evaluating their detection capabilities, environmental factors effects, false alarms rate, adaptability to complex geometries, etc. The method to be used is based on finite element modal updating. Three aspects, as outlined below, are covered: testing samples will be aluminium sheets (0.6m x 0.4m x 1.6mm) strengthened with riveted L-shaped stiffeners. Data will be presented from the undamaged specimens. Secondly, the testing of the samples with damage simulated at different places by temporary removal of specific rivets, thus affecting the overall structural characteristics of the structure. The models used for damage identification methods will be fine tuned to properly detect the simulated damages. Finally, using this information, the paper resumes the capabilities of the method to detect and locate the simulated damage.

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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.

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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.

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Lee, Eun-Taik, and Hee-Chang Eun. "Damage detection of damaged beam by constrained displacement curvature." Journal of Mechanical Science and Technology 22, no. 6 (June 2008): 1111–20. http://dx.doi.org/10.1007/s12206-008-0310-3.

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Kourehli, S. S. "Application of Extreme Learning Machine to Damage Detection of Plate-Like Structures." International Journal of Structural Stability and Dynamics 17, no. 07 (September 2017): 1750068. http://dx.doi.org/10.1142/s0219455417500687.

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An effective method for damage detection of plate structures using the extreme learning machine (ELM) is proposed in this study. With the ELM, the mode shapes and natural frequencies of a damaged plate are treated as the input and the damage states in the plate elements as the output. The proposed method was applied to two numerical examples, namely, a cantilever and a plate with four-fixed supports containing one or several damages with and without noise in the modal data. The results obtained reveal that the methodology can be used as an effective technique for the damage identification of plate structures using the modal data and ELM.

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Journal articles on the topic 'Damage and detection'

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