Bibliografías temáticas / Impact localization,structural health monitoring (SHM)

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Literatura académica sobre el tema "Impact localization,structural health monitoring (SHM)"

Autor: Grafiati
Publicado: 10 de marzo de 2023

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Artículos de revistas sobre el tema "Impact localization,structural health monitoring (SHM)"

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Bouzid, Omar Mabrok, Gui Yun Tian, Kanapathippillai Cumanan, and David Moore. "Structural Health Monitoring of Wind Turbine Blades: Acoustic Source Localization Using Wireless Sensor Networks." Journal of Sensors 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/139695.

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Structural health monitoring (SHM) is important for reducing the maintenance and operation cost of safety-critical components and systems in offshore wind turbines. This paper proposes anin situwireless SHM system based on an acoustic emission (AE) technique. By using this technique a number of challenges are introduced due to high sampling rate requirements, limitations in the communication bandwidth, memory space, and power resources. To overcome these challenges, this paper focused on two elements: (1) the use of anin situwireless SHM technique in conjunction with the utilization of low sam
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Pang, Zhuo, Mei Yuan, Hao Song, and Zongxia Jiao. "Impact Localization Method for Composite Plate Based on Low Sampling Rate Embedded Fiber Bragg Grating Sensors." Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/7083295.

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Fiber Bragg Grating (FBG) sensors have been increasingly used in the field of Structural Health Monitoring (SHM) in recent years. In this paper, we proposed an impact localization algorithm based on the Empirical Mode Decomposition (EMD) and Particle Swarm Optimization-Support Vector Machine (PSO-SVM) to achieve better localization accuracy for the FBG-embedded plate. In our method, EMD is used to extract the features of FBG signals, and PSO-SVM is then applied to automatically train a classification model for the impact localization. Meanwhile, an impact monitoring system for the FBG-embedded
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Capineri, Lorenzo, and Andrea Bulletti. "Ultrasonic Guided-Waves Sensors and Integrated Structural Health Monitoring Systems for Impact Detection and Localization: A Review." Sensors 21, no. 9 (2021): 2929. http://dx.doi.org/10.3390/s21092929.

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This review article is focused on the analysis of the state of the art of sensors for guided ultrasonic waves for the detection and localization of impacts for structural health monitoring (SHM). The recent developments in sensor technologies are then reported and discussed through the many references in recent scientific literature. The physical phenomena that are related to impact event and the related main physical quantities are then introduced to discuss their importance in the development of the hardware and software components for SHM systems. An important aspect of the article is the d
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Qiu, Lei, Shen Fang Yuan, and Tian Xiang Huang. "A Time Reversal Imaging Method without Relying on Transfer Function for Impact and Damage Monitoring of Composite Structures." Applied Mechanics and Materials 330 (June 2013): 542–48. http://dx.doi.org/10.4028/www.scientific.net/amm.330.542.

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Composite structures adopted in aerospace structures have attracted much interest to structural health monitoring (SHM) for localization of impact and damage positions due to their poor impact resistance properties. Propagation mechanism and frequency dispersion characteristics of Lamb wave signals on composite structures are more complicated than that on simple aluminum plates. Recently, much attention has been paid to the research of time reversal focusing method because this method shows a promising advantage to give a focusing image of the structural damage, improve the signal-to-noise rat
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Faisal Haider, Mohammad, Asaad Migot, Md Bhuiyan, and Victor Giurgiutiu. "Experimental Investigation of Impact Localization in Composite Plate Using Newly Developed Imaging Method." Inventions 3, no. 3 (2018): 59. http://dx.doi.org/10.3390/inventions3030059.

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This paper focuses on impact localization of composite structures, which possess more complexity in the guided wave propagation due to the anisotropic behavior of composite materials. In this work, a composite plate was manufactured by using a compression molding process with proper pressure and temperature cycle. Eight layers of woven composite prepreg were used to manufacture the composite plate. A structural health monitoring (SHM) technique was implemented with piezoelectric wafer active sensors (PWAS) to detect and localize the impact on the plate. There were two types of impact event tha
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Gao, Qiang, Jun Young Jeon, Gyuhae Park, Yeseul Kong, Yunde Shen, and Jiawei Xiang. "Beamforming using non-equidistant linear array for acoustic source localization." Journal of Intelligent Material Systems and Structures 33, no. 8 (2021): 1028–45. http://dx.doi.org/10.1177/1045389x211039558.

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Beamforming is widely used in structural health monitoring (SHM) systems for impact or damage localization. Beamforming directionality is achieved by the constructive interference of sensor wavefronts, which results in a significant amplification of the measured signal in a particular direction. For beamforming applications, the cost per sensor is typically significant, because of the sensor itself, and the associated electronics. Therefore, in order to minimize the cost of SHM in practice, it is highly desirable to reduce the number of sensors. Beamforming with an array of sensors requires an
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Marino-Merlo, Eugenio, Andrea Bulletti, Pietro Giannelli, Marco Calzolai, and Lorenzo Capineri. "Analysis of Errors in the Estimation of Impact Positions in Plate-Like Structure through the Triangulation Formula by Piezoelectric Sensors Monitoring." Sensors 18, no. 10 (2018): 3426. http://dx.doi.org/10.3390/s18103426.

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The structural health monitoring (SHM) of critical structures is a complex task that involves the use of different sensors that are also aimed at the identification of the location of the impact point using ultrasonic sensors. For the evaluation of the impact position, reference is often made to the well-known triangulation method. This method requires the estimation of the differential time of arrival (DToA) and the group velocity of the Lamb waves propagating into a plate-like structure: the uncertainty of these two parameters is taken into consideration as main cause of localization error.
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Azuara, Guillermo, and Eduardo Barrera. "Influence and Compensation of Temperature Effects for Damage Detection and Localization in Aerospace Composites." Sensors 20, no. 15 (2020): 4153. http://dx.doi.org/10.3390/s20154153.

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Structural Health Monitoring (SHM) of Carbon Fiber Reinforced Polymers (CFRP) has become, recently, in a promising methodology for the field of Non-Destructive Inspection (NDI), specially based on Ultrasonic Guided Waves (UGW), particularly Lamb waves using Piezoelectric Transducers (PZT). However, the Environmental and Operational Conditions (EOC) perform an important role on the physical characteristics of the waves, mainly the temperature. Some of these effects are phase shifting, amplitude changes and time of flight (ToF) variations. In this paper, a compensation method for evaluating and
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Katsidimas, Ioannis, Vassilis Kostopoulos, Thanasis Kotzakolios, Sotiris E. Nikoletseas, Stefanos H. Panagiotou, and Constantinos Tsakonas. "An Impact Localization Solution Using Embedded Intelligence—Methodology and Experimental Verification via a Resource-Constrained IoT Device." Sensors 23, no. 2 (2023): 896. http://dx.doi.org/10.3390/s23020896.

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Recent advances both in hardware and software have facilitated the embedded intelligence (EI) research field, and enabled machine learning and decision-making integration in resource-scarce IoT devices and systems, realizing “conscious” and self-explanatory objects (smart objects). In the context of the broad use of WSNs in advanced IoT applications, this is the first work to provide an extreme-edge system, to address structural health monitoring (SHM) on polymethyl methacrylate (PPMA) thin-plate. To the best of our knowledge, state-of-the-art solutions primarily utilize impact positioning met
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Capineri, Lorenzo, Andrea Bulletti, and Eugenio Marino Merlo. "Multichannel Real-Time Electronics Platform for the Estimation of the Error in Impact Localization with Different Piezoelectric Sensor Densities." Applied Sciences 11, no. 9 (2021): 4027. http://dx.doi.org/10.3390/app11094027.

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The work presents a structural health monitoring (SHM) electronic system with real-time acquisition and processing for the determination of impact location in laminate. The novelty of this work is the quantitative evaluation of impact location errors using the Lamb wave guided mode S0, captured and processed in real-time by up to eight piezoelectric sensors. The differential time of arrival is used to minimize an error function for the position estimation. The impact energy is correlated to the amplitudes of the antisymmetric (A0) mode and the electronic design is described to avoid saturation
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Tesis sobre el tema "Impact localization,structural health monitoring (SHM)"

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Ciampa, Francesco. "Structural health monitoring systems for impacted isotropic and anisotropic structures." Thesis, University of Bath, 2012. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558884.

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This thesis investigates the development of ultrasonic Structural Health Monitoring (SHM) systems, based on guided waves propagation, for the localization of low-velocity impacts and the detection of damage mechanisms in isotropic and anisotropic structures. For the identi- cation of the impact point, two main passive techniques were developed, an algorithm-based and an imaging-based method. The former approach is based on the dierences of the stress waves measured by a network of piezoelectric transducers surface bonded on plate-like structures. In particular, four piezoelectric sensors were
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Carrara, Matteo. "Fourier-based design of acoustic transducers." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54925.

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The work presented in this thesis investigates novel transducer implementations that take advantage of directional sensing and generation of acoustic waves. These transducers are conceived by exploiting a Fourier-based design methodology. The proposed devices find application in the broad field of Structural Health Monitoring (SHM), which is a very active research area devoted to the assessment of the structural integrity of critical components in aerospace, civil and mechanical systems. Among SHM schemes, Guided Waves (GWs) testing has emerged as a prominent option for inspection of plate-lik
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MERLO, Eugenio MARINO. "Metodi di analisi passiva mediante sensori piezoelettrici in sistemi di monitoraggio strutturale e sviluppo di algoritmi per la localizzazione di impatti. (Passive analysis methods using piezoelectric sensors in structural monitoring systems and development of algorithms for the localization of impacts.)." Doctoral thesis, 2019. http://hdl.handle.net/2158/1153042.

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Technique for Impact Localization on Carbon Fiber Laminate Sheets: il problema affrontato è stato quello della localizzazione di un impatto a bassa energia (simulati con sfere in caduta libera) su strutture planari in materiale polimerico rinforzato con fibra di carbonio (CFRP) per mezzo della formula di triangolazione di Tobias sviluppando un nuovo algoritmo “di verosimiglianza” per l’estrazione del tempo di arrivo differenziale (DToA) da una coppia di sensori piezoelettrici flessibili incollati alla superficie del materiale. In particolare, è stata fatta la caratterizzazione della lastra in
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Capítulos de libros sobre el tema "Impact localization,structural health monitoring (SHM)"

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Pant, Shashank, Zahra Sharif Khodaei, and Mohamad Ghazi Droubi. "Monitoring Tasks in Aerospace." In Structural Health Monitoring Damage Detection Systems for Aerospace. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72192-3_2.

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AbstractApproximately up to one-fifth of the direct operating cost of a commercial civilian fixed-wing aircraft is projected to be due to inspection and maintenance alone. Managing aircraft health with minimal human intervention and technologies that can perform continuous or on-demand monitoring/evaluation of aircraft components without having to take the aircraft out of service can have a significant impact on increasing availability while reducing maintenance cost. The ambition of these monitoring technologies is to shift aircraft maintenance practice from planned maintenance (PM), where the aircraft is taken out of service for scheduled inspection/maintenance, to condition-based maintenance (CBM), where aircraft is taken out of service only when maintenance is required, while maintaining the required levels of safety. Structural health monitoring (SHM) techniques can play a vital role in progressing towards CBM practice. Therefore, this chapter aims to provide the reader with a brief overview of the different SHM techniques and their use, as well as, challenges in implementing them for aircraft applications.
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Sause, Markus G. R., Elena Jasiūnienė, and Rhys Pullin. "Introduction." In Structural Health Monitoring Damage Detection Systems for Aerospace. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72192-3_1.

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AbstractThe aerospace industry is aiming for a cleaner means of transport. One way to achieve this is by making transportation lighter, thus directly improving fuel efficiency and reducing environmental impact. A further aim, of the industry, is to reduce maintenance time to lessen operating costs, which can result in a reduction of air transport costs, benefitting both passenger and freight services. Current developments to support these aims include using advanced materials, with the current generation of aerospace structures being 50% composite materials. These materials offer a weight reduction whilst maintaining adequate stiffness; however, their damage mechanics are very complex and less deterministic than those of metals. This results in an overall reduced benefit. Structures are manufactured thicker using additional material to accommodate unknown or unpredictable failure modes, which cannot be easily detected during maintenance. A way to overcome these issues is the adoption of a structural health monitoring (SHM) inspection system.
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Giurgiutiu, Victor. "Impact and Acoustic Emission Monitoring for Aerospace Composites SHM." In Structural Health Monitoring of Aerospace Composites. Elsevier, 2016. http://dx.doi.org/10.1016/b978-0-12-409605-9.00009-x.

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Xu, Qingsong. "Structure Impact Localization Using Emerging Artificial Intelligence Algorithms." In Emerging Design Solutions in Structural Health Monitoring Systems. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8490-4.ch006.

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Extreme learning machine (ELM) is a learning algorithm for single-hidden layer feedforward neural networks. In theory, this algorithm is able to provide good generalization capability at extremely fast learning speed. Comparative studies of benchmark function approximation problems revealed that ELM can learn thousands of times faster than conventional neural network (NN) and can produce good generalization performance in most cases. Unfortunately, the research on damage localization using ELM is limited in the literature. In this chapter, the ELM is extended to the domain of damage localization of plate structures. Its effectiveness in comparison with typical neural networks such as back-propagation neural network (BPNN) and least squares support vector machine (LSSVM) is illustrated through experimental studies. Comparative investigations in terms of learning time and localization accuracy are carried out in detail. It is shown that ELM paves a new way in the domain of plate structure health monitoring. Both advantages and disadvantages of using ELM are discussed.
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Prokopenko, Mikhail, Geoff Poulton, and Don Price. "Self-Organising Impact Sensing Networks in Robust Aerospace Vehicles." In Computational Intelligence and its Applications. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-827-7.ch007.

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An approach to the structural health management (SHM) of future aerospace vehicles is presented. Such systems will need to operate robustly and intelligently in very adverse environments, and be capable of self-monitoring (and ultimately, self-repair). Networks of embedded sensors, active elements, and intelligence have been selected to form a prototypical “smart skin” for the aerospace structure, and a methodology based on multi-agent networks developed for the system to implement aspects of SHM by processes of self-organisation. Problems are broken down with the aid of a “response matrix” into one of three different scenarios: critical, sub-critical, and minor damage. From these scenarios, three components are selected, these being: (a) the formation of “impact boundaries” around damage sites, (b) self-assembling “impact networks”, and (c) shape replication. A genetic algorithm exploiting phase transitions in systems dynamics has been developed to evolve localised algorithms for impact boundary formation, addressing component (a). An ant colony optimisation (ACO) algorithm, extended by way of an adaptive dead reckoning scheme (ADRS) and which incorporates a “pause” heuristic, has been developed to address (b). Both impact boundary formation and ACO-ADRS algorithms have been successfully implemented on a “concept demonstrator”, while shape replication algorithms addressing component (c) have been successfully simulated.
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Actas de conferencias sobre el tema "Impact localization,structural health monitoring (SHM)"

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Hinderdael, Michaël F., Dieter De Baere, Wim Devesse, Maria Strantza, and Patrick Guillaume. "Negative Pressure Waves Analysis for Crack Localization and Crack Size Estimation for 3D Printed SHM System." In ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/smasis2015-8845.

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A new Structural Health Monitoring system was developed to allow a faster introduction of 3D printed components into safety critical applications. Additive manufacturing techniques are used to embed capillaries in a 3D printed structure that are then pressurized. Continuous monitoring of the capillary pressure allows the system to indicate the existence of a crack when the pressure deviates from the initial pressure level. A specifically developed experimental set-up enables the study of the impact of different parameters on the leak flow behavior and the occurring Negative Pressure Waves. Neg
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Pierdicca, Alessio, Francesco Clementi, Diletta Maracci, Daniela Isidori, and Stefano Lenci. "Vibration-Based SHM of Ordinary Buildings: Detection and Quantification of Structural Damage." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46763.

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One of the most important issues in civil and in mechanical engineering is the detection of structural damages, which are defined as changes of material properties, of boundary conditions and of system connectivity, which adversely affect the system’s performances. The damage identification process generally requires establishing existence, localization, type and intensity of the damage. During its service life, a structure, besides his natural aging, can be subjected to earthquakes. These events may have a deep impact on building safety and a continuous monitoring of the structure health cond
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Vizzini, Anthony J., Yingtao Liu, and Aditi Chattopadhyay. "Damage Localization in a Stiffened Composite Panel Using a Lamb Wave Based Tomography Approach." In ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/smasis2011-5101.

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In structural health monitoring (SHM) of aerospace components, such as stiffened panels, detection and localization of damage is an important issue. This paper presents a methodology for determining the existence and location of low velocity impact damage in a stiffened composite panel. Using a matching pursuit decomposition algorithm, converted modes due to damage were extracted in the time-frequency domain. The energy of the converted mode was then used in conjunction with a probabilistic tomography approach that was able to localize the damage with a high level of accuracy. The results obta
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Hervin, Flora, and Paul Fromme. "Directionally Dependent Guided Wave Scattering for the Monitoring of Anisotropic Composite Structures." In 2022 49th Annual Review of Progress in Quantitative Nondestructive Evaluation. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/qnde2022-98367.

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Abstract Carbon fiber composite laminates, consisting of highly anisotropic ply layers, are widely used in aerospace structures due to their good strength to weight ratio. However, due to poor interlaminar strength, composite components are prone to barely visible impact damage during aircraft operation. Sparse array guided wave imaging, using a network of distributed sensors, is an important Structural Health Monitoring (SHM) tool for the detection and localization of in-service damage in composite structures. However, the anisotropy of composite laminates influences guided wave scattering, i
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ZHOU, PEIYUAN, and OTIS KOPSAFTOPOULOS. "DAMAGE LOCALIZATION AND MAGNITUDE ESTIMATION ON A COMPOSITE UAV WING VIA STOCHASTIC FUNCTIONALLY POOLED MODELS." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36240.

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A vibration-based active-sensing global SHM method is proposed and evaluated for its damage localization and quantification accuracy on complex wing structure. In the process, the wing structure is actuated by a white noise vibration and the response signals are collected by a distributed sensor network. The proposed SHM method first utilize auto-regressive exogenous (ARX) model [1] for representing the time-domain response at each sensor location under various damage conditions, where stochasticity contained in structural response is minimized and identified. ARX models are then mapped to dam
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HANSEN, J. B., M. K. HOVGAARD, P. OLSEN, A. SKAFTE, and R. BRINCKER. "Study of Vibration Based SHM Technologies, Part IV: Localization Using Physical-based Methods." In Structural Health Monitoring 2015. Destech Publications, 2015. http://dx.doi.org/10.12783/shm2015/171.

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HOVGAARD, M. K., J. B. HANSEN, A. SKAFTE, P. OLSEN, and R. BRINCKER. "Study of Vibration Based SHM Technologies, Part III: Localization Using Statistical Learning Theory." In Structural Health Monitoring 2015. Destech Publications, 2015. http://dx.doi.org/10.12783/shm2015/305.

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STEINWEG, DOMINIK, and MIRKO HORNUNG. "COST AND BENEFIT OF SHM IN COMMERCIAL AVIATION." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36239.

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An integrated techno-economic cost-benefit analysis is presented to analyze the impact of damage detection-based SHM on an Airbus A320-based reference aircraft, instrumented with ultrasonic and fiber-optic sensors. The operational performance of aircraft with and without SHM is compared in terms of inspection effort, dispatch reliability, payload capacity, service limit, SHM equipment weight and performance, as well as total operating cost. Finally, the net present value of SHM is calculated. While SHM can be profitable for airlines, the achievable benefit depends on the SHM system performance
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Hervin, Flora, and Paul Fromme. "Anisotropy Influence on Guided Wave Propagation and Steering in Unidirectional CFRP." In 2022 49th Annual Review of Progress in Quantitative Nondestructive Evaluation. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/qnde2022-98375.

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Abstract Carbon fiber reinforced composite laminates (CFRP) are often selected for aerospace structures due to their low weight and high strength compared to their metallic counterparts. They consist of very stiff and highly anisotropic fiber matrix ply layers, resulting in high in-plane strength. However, composite laminates are prone to barely visible impact damage when subjected to low velocity impacts during service. Undetected impact damage can cause significant strength reduction of the laminate. Effective structural health monitoring (SHM) of composite panels is therefore required to pr
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BÜCHTER,, KAI-DANIEL, and LILY KOOPS. "RETROFITTING POTENTIALS IN AIRCRAFT STRUCTURAL HEALTH MONITORING—A VALUE OF INFORMATION ANALYSIS." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36238.

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Structural Health Monitoring (SHM) systems promise to improve cost efficiency in aircraft maintenance. Beyond the cost of developing and procuring SHM systems, however, a potentially adverse impact on aircraft performance may negatively affect operational cost. With this in mind, we use an SHM sensor-network model to derive optimal SHM configurations, considering instrumentation and fuel costs as well as saved inspection time, on individual structural component level. Based on Net Present Value theory, we find that retrofitting provides a 20-% benefit on fleet level over factory-only instrumen
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