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Journal articles on the topic 'Damage Detection'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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

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Dhokane, Mr Rahul. "CAR DAMAGE DETECTION USING CNN." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30508.

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In today's modern society, automobiles play a crucial role, and the automatic classification of car damages holds particular significance for the auto insurance industry. Our proposed solution involves the implementation of two Convolutional Neural Network (CNN) models. Specifically, the VGG16 model is employed to identify and assess the location and severity of car damage, while the Mask R-CNN is utilized to accurately mask the damaged regions. Both models collectively provide valuable insights into the extent. The CNN models effectively filter out images without damages, allowing only those

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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 (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 tes

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Raj, R. Melvin, Jyosthna R, Ramya Madhuri N, Akshay Sunny R, and Pratima A. "Damage Detection of An Automobile." International Journal of Engineering Research in Computer Science and Engineering 9, no. 10 (2022): 61–64. http://dx.doi.org/10.36647/ijercse/09.10.art014.

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As a result of the proliferation of automobile in- dustries today. There have been an increasing number of car accidents, not all of which are serious, but the automobile is damaged. Detecting automobile damage at the site of an accident using images is exceptionally beneficial as it may significantly lower the cost of processing the insurance reimbursement process while also providing more convenience to automobile users. In most cases, this damage is detected and assessed manually from the car’s images during the car evaluation process. In this paper, we worked on the problem of automation o

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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 (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 algori

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Amina Saouab, Hajar Chouiyakh, Mustafa Faqir, Kenza Bouchaala, Fathi Ghanameh, and Elhachmi Essadiqi. "Study of Multistage Damage Detection Method Based on Lamb Waves and Thermal Effect." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 93, no. 1 (2022): 200–211. http://dx.doi.org/10.37934/arfmts.93.1.200211.

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Non-destructive testing has been implemented in many industries to ensure structural safety and reliability by detecting defects. In this study, Lamb waves are used for early damage detection and characterization. The aim of this research work is to develop a methodology for damage characterization (detection, localization, severity, and life estimation). Different problems associate with Lamb waves propagation as their dispersive behavior, and the effect of varying temperature on the amplitude and arrival time of the wave. Current study focuses on investigating the multistage damage detection

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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 (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 Kumamot

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Al Duhayyim, Mesfer, Areej A. Malibari, Abdullah Alharbi, et al. "Road Damage Detection Using the Hunger Games Search with Elman Neural Network on High-Resolution Remote Sensing Images." Remote Sensing 14, no. 24 (2022): 6222. http://dx.doi.org/10.3390/rs14246222.

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Roads can be significant traffic lifelines that can be damaged by collapsed tree branches, landslide rubble, and buildings debris. Thus, road damage detection and evaluation by utilizing High-Resolution Remote Sensing Images (RSI) are highly important to maintain routes in optimal conditions and execute rescue operations. Detecting damaged road areas through high-resolution aerial images could promote faster and effectual disaster management and decision making. Several techniques for the prediction and detection of road damage caused by earthquakes are available. Recently, computer vision (CV

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9

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 acc

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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 s

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11

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

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Saadatmorad, Morteza, Mohammad-Hadi Pashaei, Ramazan-Ali Jafari-Talookolaei, and Samir Khatir. "Mode Shape Projection for Damage Detection of Laminated Composite Plates." Mathematical and Computational Applications 30, no. 1 (2025): 18. https://doi.org/10.3390/mca30010018.

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The wavelet technique has limitations in detecting damage at the edges of two-dimensional signals. This weakness arises from the nature of the wavelet transform procedure, which shifts the signal by differencing the signal’s pair arrays in the neighborhood. This study introduces the mode shape projection method as an efficient technique for detecting damages in two-dimensional signals in rectangular laminated composite plates to eliminate the weakness of damage detection by the wavelet method. In other words, this paper proposes creating two one-dimensional waves containing information about d

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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 be

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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 (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 cas

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Kussul, N., S. Drozd, and H. Yailymova. "AUTOMATED DETECTION AND ASSESSMENT OF WAR-INDUCED DAMAGE TO AGRICULTURAL FIELDS USING SATELLITE IMAGERY." Automation of technological and business processes 16, no. 2 (2024): 63–74. http://dx.doi.org/10.15673/atbp.v16i2.2841.

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This paper introduces a methodology based on machine learning and remote sensing for detecting military-induced damages to agricultural lands in Ukraine using free Sentinel-2 satellite data. The most informative spectral bands (B2, B3) and vegetation indices (NDVI, GCI) were experimentally selected for recognizing damaged fields through the Random Forest classification algorithm. Additionally, an anomaly detection method based on the estimation of deviations of pixel values from the mean within each field was applied to determine local damage in the identified affected fields. The proposed met

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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 i

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17

Kuo, Tien-Ying, Yu-Jen Wei, Po-Chyi Su, and Tzu-Hao Lin. "Learning-Based Image Damage Area Detection for Old Photo Recovery." Sensors 22, no. 21 (2022): 8580. http://dx.doi.org/10.3390/s22218580.

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Most methods for repairing damaged old photos are manual or semi-automatic. With these methods, the damaged region must first be manually marked so that it can be repaired later either by hand or by an algorithm. However, damage marking is a time-consuming and labor-intensive process. Although there are a few fully automatic repair methods, they are in the style of end-to-end repairing, which means they provide no control over damaged area detection, potentially destroying or being unable to completely preserve valuable historical photos to the full degree. Therefore, this paper proposes a dee

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Kallas, J., and R. Napolitano. "AUTOMATED LARGE-SCALE DAMAGE DETECTION ON HISTORIC BUILDINGS IN POST-DISASTER AREAS USING IMAGE SEGMENTATION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-2-2023 (June 24, 2023): 797–804. http://dx.doi.org/10.5194/isprs-archives-xlviii-m-2-2023-797-2023.

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Abstract. This research aims to investigate the application of computer vision and machine learning for the automatic detection of wall collapse damage in historic buildings caused by natural and man-made disasters. Given the complexities involved in inspecting damaged buildings, particularly in post-disaster scenarios, this research aims to establish a foundation for creating an automated assessment process. Our findings demonstrate the successful automatic detection of various shapes of wall collapse on damaged buildings from the Beirut explosion of 2020, as well as from other damaged buildi

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19

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 lo

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Yang, Qun, and Dejian Shen. "Learning Damage Representations with Sequence-to-Sequence Models." Sensors 22, no. 2 (2022): 452. http://dx.doi.org/10.3390/s22020452.

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Natural hazards have caused damages to structures and economic losses worldwide. Post-hazard responses require accurate and fast damage detection and assessment. In many studies, the development of data-driven damage detection within the research community of structural health monitoring has emerged due to the advances in deep learning models. Most data-driven models for damage detection focus on classifying different damage states and hence damage states cannot be effectively quantified. To address such a deficiency in data-driven damage detection, we propose a sequence-to-sequence (Seq2Seq)

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Roy, Rinto, and Marco Gherlone. "Delamination and Skin-Spar Debond Detection in Composite Structures Using the Inverse Finite Element Method." Materials 16, no. 5 (2023): 1969. http://dx.doi.org/10.3390/ma16051969.

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This work presents a novel strategy for detecting and localizing intra- or inter-laminar damages in composite structures using surface-instrumented strain sensors. It is based on the real-time reconstruction of structural displacements using the inverse Finite Element Method (iFEM). The iFEM reconstructed displacements or strains are post-processed or ‘smoothed’ to establish a real-time healthy structural baseline. As damage diagnosis is based on comparing damaged and healthy data obtained using the iFEM, no prior data or information regarding the healthy state of the structure is required. Th

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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 (2003): 2287–99. http://dx.doi.org/10.1016/s0045-7949(03)00318-3.

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Sree, A. Jaya, G. Aravind, H. Lalith, and M. Yuvraj. "Vehicle Insurance Damage Detection." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 1985–88. http://dx.doi.org/10.22214/ijraset.2023.49847.

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Abstract: These days every process we see has been automated. The Use of Artificial Intelligence and Machine Learning have been adopted by many people and businesses all around the world. One of the adoption is in the sector of vehicles, wherein it can identify the parts that have been damaged of a vehicle with the use of the widespread technologies that are present. The Machine can do many things like predict the repair the damage needs and the cost estimation for the damage. All of this is possible due to the Annotation of Images/Videos of the vehicles that have been damaged and building Com

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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 (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 numer

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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 m

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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 w

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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 (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 overc

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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

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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 (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 me

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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 (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 stu

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Yang, Delei, Chunyan Kang, Sihan Cheng, Zhongming Hu, and Adesola Ademiloye. "Statistical Structural Damage Detection of Functionally Graded Euler–Bernoulli Beams Based on Element Modal Strain Energy Sensitivity." Buildings 15, no. 9 (2025): 1521. https://doi.org/10.3390/buildings15091521.

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In practical engineering, uncertainties inevitably exist in the models and measurement data used for structures. Therefore, a statistical strategy related to damage detection methods become crucial. In this paper, a probabilistic statistical damage detection method for FG Euler–Bernoulli beam structures is proposed, extending the approach originally developed for isotropic materials. Our approach determines the probability of damage occurrence for each element, which aids in evaluating whether beam structures have been damaged. This evaluation is based on integrating the sensitivity of modal s

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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 (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

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Huang, Xudi, Xi Peng, Fengjiang Qin, Qiuwei Yang, and Bin Xu. "Damage Detection of Beam Structures Using Displacement Differences and an Artificial Neural Network." Coatings 15, no. 3 (2025): 289. https://doi.org/10.3390/coatings15030289.

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The beam structure constitutes a vital element in construction and bridge engineering. Static damage detection technology provides a method for identifying potential damage by measuring static displacements, with the advantage of being easy to implement. In this work, a two-stage damage detection method is proposed to determine the location and severity of damage in beam structures. The first stage identifies the damage location based on the displacement difference curves of the beam structure under static loading before and after the damage occurs. The second stage employs an artificial neura

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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 (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 discrimi

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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 s

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Zhang, Ziliang, Fukun Gui, Xiaoyu Qu, and Dejun Feng. "Netting Damage Detection for Marine Aquaculture Facilities Based on Improved Mask R-CNN." Journal of Marine Science and Engineering 10, no. 7 (2022): 996. http://dx.doi.org/10.3390/jmse10070996.

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Netting damage limits the safe development of marine aquaculture. In order to identify and locate damaged netting accurately, we propose a detection method using an improved Mask R-CNN. We create an image dataset of different kinds of damage from a mix of conditions and enhance it by data augmentation. We then introduce the Recursive Feature Pyramid (RFP) and Deformable Convolution Network (DCN) structures into the learning framework to optimize the basic backbone for a marine environment and build a feature map with both high-level semantic and low-level localization information of the networ

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Naderpour, Hosein, Mohammad Abbasi, Denise-Penelope N. Kontoni, Masoomeh Mirrashid, Nima Ezami, and Ambrosios-Antonios Savvides. "Integrating Image Processing and Machine Learning for the Non-Destructive Assessment of RC Beams Damage." Buildings 14, no. 1 (2024): 214. http://dx.doi.org/10.3390/buildings14010214.

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Non-destructive testing (NDT) is a crucial method for detecting damages in concrete structures. Structural damage can lead to functional changes, necessitating a range of damage detection techniques. Non-destructive methods enable the pinpointing of the location of the damage without causing harm to the structure, thus saving both time and money. Damaged structures exhibit alterations in their static and dynamic properties, primarily stemming from a reduction in stiffness. Monitoring these changes allows for the determination of the failure location and severity, facilitating timely repairs an

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Yao, Yuan, Guozhong Wang, and Jinhui Fan. "WT-YOLOX: An Efficient Detection Algorithm for Wind Turbine Blade Damage Based on YOLOX." Energies 16, no. 9 (2023): 3776. http://dx.doi.org/10.3390/en16093776.

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Wind turbine blades will suffer various surface damages due to their operating environment and high-speed rotation. Accurate identification in the early stage of damage formation is crucial. The damage detection of wind turbine blades is a primarily manual operation, which has problems such as high cost, low efficiency, intense subjectivity, and high risk. The rise of deep learning provides a new method for detecting wind turbine blade damage. However, in detecting wind turbine blade damage in general network models, there will be an insufficient fusion of multiscale small target features. Thi

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Yan, Chengen. "Design of a battery early warning system based on the single-chip microcomputer." Journal of Physics: Conference Series 2419, no. 1 (2023): 012039. http://dx.doi.org/10.1088/1742-6596/2419/1/012039.

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Abstract There is countless news of disasters caused by battery damages, such as explosions, electricity leaks, and thermal runaways each year, resulting in millions of dollars of losses, which highlights the scarcity of an effective damage detection system. However, early-stage damages cannot be detected by current detection methods accurately. This design uses the LTC6811-1 chip to monitor the current and voltage data of the cell and then transmits the data to the ATMEGA328-AU single chip, where the data are processed before being displayed on a PC screen. The principle of detecting damages

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Rafi, Farhan Aditya, Adriana Fanggidae, and Yulianto Triwahyuadi Polly. "ASPHALT ROAD DAMAGE DETECTION SYSTEM USING CANNY EDGE DETECTION." Jurnal Komputer dan Informatika 11, no. 1 (2023): 85–90. http://dx.doi.org/10.35508/jicon.v11i1.10100.

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Road is a means of access for humans to move from one place to another, connecting one place to another, and serving as transportation infrastructure. At all times, asphalt roads are passed by road users, including small, medium, and large vehicles. However, road conditions are not always smooth and often there are damages in certain parts of the road. Factors such as water, weather, temperature changes, unstable soil conditions, air temperature, poor compaction process on the base layer, and the weight or overload of heavy vehicles that exceed capacity, as well as the increasing volume of veh

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C. Santos, Juliana, Marcus V. G. de Morais, Marcela R. Machado, Ramon Silva, Erwin U. L. Palechor, and Welington V. Silva. "Beam-like damage detection methodology using wavelet damage ratio and additional roving mass." Frattura ed Integrità Strutturale 16, no. 62 (2022): 349–63. http://dx.doi.org/10.3221/igf-esis.62.25.

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Early damage detection plays an essential role in the safe and satisfactory maintenance of structures. This work investigates techniques use only damaged structure responses. A Timoshenko beam was modeled in finite element method, and an additional mass was applied along their length. Thus, a frequency-shift curve is observed, and different damage identification techniques were used, such as the discrete wavelet transform and the derivatives of the frequency-shift curve. A new index called wavelet damage ratio(WDR) is defined as a metric to measure the damage levels. Damages were simulated lik

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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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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 (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 d

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Azhari, Febrian Akbar, Tatang Rohana, Kiki Ahmad Baihaqi, and Ahmad Fauzi. "Road Damage Detection Using Yolov9-Based Imagery." Jurnal Sisfokom (Sistem Informasi dan Komputer) 14, no. 2 (2025): 196–201. https://doi.org/10.32736/sisfokom.v14i2.2377.

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Road damage is one of the leading factors contributing to traffic accidents. Rapid identification and repair of damaged roads are crucial in road infrastructure management. This study aims to develop an effective method for detecting road damage, utilizing the YOLOv9 algorithm as a key component, such as cracks and potholes, using the Convolutional Neural Network (CNN) approach. YOLOv9 was chosen due to its efficient architecture, which enables real-time object detection, and its proven effectiveness in various object detection tasks. An annotated dataset of road images was used during the mod

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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

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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 prec

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Pagar, Prof Nilima. "Survey Paper on Road Damage Detection and Reporting System Using Fully Connected CNN." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem27939.

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Many rural and metropolitan towns, as well as road authorities, encounter challenges in mapping surface damages resulting from numerous sources such strong rains, natural catastrophes, or other events that cause cracks and holes to emerge on the road surface. These organizations or private entities look out for solutions to implement automated methods of reporting damages on a surface of the road. The majority of the time, they lack the equipment needed to map the damage to the roadways. One of the main issues facing commuters is the numerous damaged road portions they must navigate. This caus

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Yu, Tai-Ho. "Plate Waves Scattering Analysis and Active Damage Detection." Sensors 21, no. 16 (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

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Liu, Hui, Xue Liang Wang, and Wei Lian Qu. "Research on Two-Step Damage Detection Method for Complex Gird Truss Structure under Wind Load." Applied Mechanics and Materials 256-259 (December 2012): 1131–38. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.1131.

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Considering characteristics of gird truss structure, the suitable two-step damage detection method for these structures is proposed in the paper. The acceleration power spectral density sensibility of structural nodes is obtained by analyzing their acceleration power spectral density value caused every damaged structural bar. According to sensibility value, the range of influence of damaged structural bar is determined, then structural sub regions are divided and accelerators are distributed. The first step damage detection methods is identifying damaged bar occurrence region, it is extracting

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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 (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

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