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Journal articles on the topic 'Crack location detection'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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1

Kim, Byeong-Cheol, and Byung-Jik Son. "Crack Detection of Concrete Images Using Dilatation and Crack Detection Algorithms." Applied Sciences 13, no. 16 (2023): 9238. http://dx.doi.org/10.3390/app13169238.

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Crack detection in structures is an important and time-consuming element of monitoring the health of structures and ensuring structural safety. The traditional visual inspection of structures can be unsafe and may produce inconsistent results. Thus, there is a need for a method to easily and accurately identify and analyze cracks. In this study, algorithms for automatically detecting the size and location of cracks in concrete images were developed. Cracks were automatically detected in a total of 10 steps. In steps 5 and 9, two user algorithms were added to increase crack detection accuracy,

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2

Nwosu, D. I., A. S. J. Swamidas, and J. Y. Guigne´. "Dynamic Response of Tubular T-Joints Under the Influence of Propagating Cracks." Journal of Offshore Mechanics and Arctic Engineering 118, no. 1 (1996): 71–78. http://dx.doi.org/10.1115/1.2828804.

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This paper presents an analytical study on the vibration response of tubular T-joints for detecting the existence of cracks along their intersections. The ABAQUS finite element program was utilized for carrying out the analysis. Frequency response functions were obtained for a joint with and without cracks. The joint was modeled with 8-node degenerate shell elements having 5 degrees of freedom per node. Line spring elements were used to model the crack. The exact crack configuration (semielliptical shape, Fig. 5(b)), as observed from numerous experimental fatigue crack investigations at the cr

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3

Wang, Fei, Xue Zeng Zhao, and Jia Ying Chen. "Detection of Multiple Cracks in Triangular Cantilevers Based on Frequency Measurements." Key Engineering Materials 324-325 (November 2006): 259–62. http://dx.doi.org/10.4028/www.scientific.net/kem.324-325.259.

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Triangular cantilevers are used as small force sensors. Prediction of location and size of multiple cracks from experimental results will be of value to users and designers of cantilever deflection force sensors. We extend a method for prediction of location and size of multiple cracks in rectangular cantilevers to deal with triangular cantilevers in this paper. The cracks are assumed to introduce local flexibility change and are modeled as rotational springs. The beam is divided into a number of segments, and each segment is associated with a damage index, which can be calculated through the

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Khalkar, V., and S. Ramachandran. "The effect of crack geometry on non-destructive fault detection of EN 8 and EN 47 cracked cantilever beam." Noise & Vibration Worldwide 50, no. 3 (2019): 92–100. http://dx.doi.org/10.1177/0957456519834537.

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Since long it has been observed that the size of the crack in structures increases with time, and finally, it may lead to its catastrophic failure. Hence, it is crucial to do the vibration study of cracked structures with regard to vibration-based crack detection and the classification of cracks. So far, vibration-based non-destructive testing method is applied to many spring steel cracked cantilever beams for its possible crack detection. However, the effect of various kinds of practical cracks, that is, V-shaped and U-shaped, on the applicability of these methods has been overlooked. To inve

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Yuan, Yingtao, Zhendong Ge, Xin Su, et al. "Crack Length Measurement Using Convolutional Neural Networks and Image Processing." Sensors 21, no. 17 (2021): 5894. http://dx.doi.org/10.3390/s21175894.

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Fatigue failure is a significant problem in the structural safety of engineering structures. Human inspection is the most widely used approach for fatigue failure detection, which is time consuming and subjective. Traditional vision-based methods are insufficient in distinguishing cracks from noises and detecting crack tips. In this paper, a new framework based on convolutional neural networks (CNN) and digital image processing is proposed to monitor crack propagation length. Convolutional neural networks were first applied to robustly detect the location of cracks with the interference of scr

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Zhao, Yiming, Jing Yan, Yanxin Wang, Qianzhen Jing, and Tingliang Liu. "Porcelain Insulator Crack Location and Surface States Pattern Recognition Based on Hyperspectral Technology." Entropy 23, no. 4 (2021): 486. http://dx.doi.org/10.3390/e23040486.

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A porcelain insulator is an important part to ensure that the insulation requirements of power equipment can be met. Under the influence of their structure, porcelain insulators are prone to mechanical damage and cracks, which will reduce their insulation performance. After a long-term operation, crack expansion will eventually lead to breakdown and safety hazards. Therefore, it is of great significance to detect insulator cracks to ensure the safe and reliable operation of a power grid. However, most traditional methods of insulator crack detection involve offline detection or contact measure

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7

Ma, Kaifeng, Mengshu Hao, Xiang Meng, Jinping Liu, Junzhen Meng, and Yabing Xuan. "Coarse–Fine Combined Bridge Crack Detection Based on Deep Learning." Applied Sciences 14, no. 12 (2024): 5004. http://dx.doi.org/10.3390/app14125004.

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The crack detection of concrete bridges is an important link in the safety evaluation of bridge structures, and the rapid and accurate identification and detection of bridge cracks is a prerequisite for ensuring the safety and long-term stable use of bridges. To solve the incomplete crack detection and segmentation caused by the complex background and small proportion in the actual bridge crack images, this paper proposes a coarse–fine combined bridge crack detection method of “double detection + single segmentation” based on deep learning. To validate the effect and practicality of fine crack

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H., Nabil H., and Jawad K. Z. "CRACK DETECTION IN A ROTOR DYNAMIC SYSTEM BY VIBRATION MONITORING." Journal of Engineering 16, no. 02 (2010): 5116–28. http://dx.doi.org/10.31026/j.eng.2010.02.26.

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Vibration monitoring is one of the most important techniques which are used to detect the cracks or defects in rotating mechanical systems. To distinguish characteristics of the system response that may lead to the transverse crack in rotating shaft, local asymmetry crack model is used where crack simulated by increasing the flexibility of the shaft and transverse crack in the shaft is introduced.The obtained results showed a decreasing in the resonance shaft speed with increasing the crack depth ratio. The feature is used for diagnostics the crack in the shaft by using the graphed results bet

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9

Xu, Guoyan, Xu Han, Yuwei Zhang, and Chunyan Wu. "Dam Crack Image Detection Model on Feature Enhancement and Attention Mechanism." Water 15, no. 1 (2022): 64. http://dx.doi.org/10.3390/w15010064.

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Dam crack detection can effectively avoid safety accidents of dams. To solve the problem that the dam crack image samples are not available and the traditional algorithm detects cracks with low accuracy, we provide a dam crack image detection model based on crack feature enhancement and attention mechanism. Firstly, we expand the dam crack image dataset through a generative adversarial network based on crack feature enhancement (Cracks Enhancements GAN, CE-GAN). It can fully expand the dam crack data samples and improve the quality of the training data. Secondly, we propose a crack image detec

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10

Sethi, Rabinarayan, S. K. Senapati, and Dayal R. Parhi. "Structural Damage Detection by Fuzzy Logic Technique." Applied Mechanics and Materials 592-594 (July 2014): 1175–79. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.1175.

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In this paper, a novel approach for detecting crack location and its intensity in cantilever beam by Fuzzy logic techniques is established. The analysis has been done by using ANSYS FE software. The fuzzy controller with Bell shaped membership functions are used here which consists of three input parameters are relative deviation of first three natural frequencies and two output parameters are relative crack depth and relative crack location respectively. A series of fuzzy rules are resulting from vibration parameters which are finally used for prediction of crack location and its intensity. T

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11

Fang, Zhi Hua, and Xiang Yang Liu. "Research on Recognition Methods of Crack Damage from Beam Based on the Vibration Modal." Applied Mechanics and Materials 578-579 (July 2014): 1024–27. http://dx.doi.org/10.4028/www.scientific.net/amm.578-579.1024.

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Structural crack damage will degrade its carrying capacity, and affect the security of the structure. Thus early detection of crack damage is a guarantee of the structure safety. Cracks can change the vibration characteristics of the structure, therefore we proposed a method of identifying the crack damage based on the vibration modal. Take both ends fixed beam as an example, through establish the finite element models of crack-free beam and the crack beam with different location and different depth, we calculate the displacement modal parameters of beam before and after the damage, analyze th

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12

Ahn, Ju-Hun, Yong-Chan Lee, Se-Min Jeong, Han-Na Kim, and Chang-Yull Lee. "Crack Detecting Method Based on Grid-Type Sensing Networks Using Electrical Signals." Sensors 23, no. 13 (2023): 6093. http://dx.doi.org/10.3390/s23136093.

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Cracks have a primary effect on the failure of a structure. Therefore, the development of crack sensors with high accuracy and resolution and cracks detection method are important. In this study, the crack sensors were fabricated, and the crack locations were detected with the electrical signal of the crack sensor. First, a metal grid-type micro-crack sensor based on silver was fabricated. The sensor is made with electrohydrodynamics (EHD) inkjet printing technology, which is well known as the next generation of printed electronics technology. Optimal printing conditions were established throu

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Li, Guangjun, Lin Nan, Lu Zhang, Manman Feng, Yan Liu, and Xu Meng. "Research on Infrared Image Fusion Technology Based on Road Crack Detection." Journal of World Architecture 7, no. 3 (2023): 21–26. http://dx.doi.org/10.26689/jwa.v7i3.4826.

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This study aimed to propose road crack detection method based on infrared image fusion technology. By analyzing the characteristics of road crack images, this method uses a variety of infrared image fusion methods to process different types of images. The use of this method allows the detection of road cracks, which not only reduces the professional requirements for inspectors, but also improves the accuracy of road crack detection. Based on infrared image processing technology, on the basis of in-depth analysis of infrared image features, a road crack detection method is proposed, which can a

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14

Khalkar, V., and S. Ramachandran. "The effect of crack geometry on stiffness of spring steel cantilever beam." Journal of Low Frequency Noise, Vibration and Active Control 37, no. 4 (2018): 762–73. http://dx.doi.org/10.1177/1461348418765959.

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The survival of the crack in structures always keeps the structure away from performing well in applications due to significant changes in its dynamic response. It has been observed that in service the size of the crack in structures increases with time and finally it leads to its catastrophic failure. Hence it is crucial to do the vibration study of cracked beams in regard of free vibration-based crack detection and its crack classification. Until now the vibration-based nondestructive testing methods are applied to many spring steel cracked cantilever beams for its possible crack detection.

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15

Liang, Hao, Junhong Zhang, and Song Yang. "Location Detection and Numerical Simulation of Guided Wave Defects in Steel Pipes." Applied Sciences 14, no. 22 (2024): 10403. http://dx.doi.org/10.3390/app142210403.

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At present, researchers in the field of pipeline inspection focus on pipe wall defects while neglecting pipeline defects in special situations such as welds. This poses a threat to the safe operation of projects. In this paper, a multi-node fusion and modal projection algorithm of steel pipes based on guided wave technology is proposed. Through an ANSYS numerical simulation, research is conducted to achieve the identification, localization, and quantification of axial cracks on the surface of straight pipelines and internal cracks in circumferential welds. The propagation characteristics and v

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16

Wu, Wei Liang, Wen Zhong Qu, and Li Xiao. "Closed Crack Detection with Nonlinear Instantaneous Baseline." Key Engineering Materials 577-578 (September 2013): 633–36. http://dx.doi.org/10.4028/www.scientific.net/kem.577-578.633.

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Closed cracks, which stay in contact unless the excitation exceeds a certain threshold, exist as great menace to structures. Since nonlinear response is more sensitive to micro damage than conventional linear approaches, analyzing the nonlinear part of the collected response of structures to an input ultrasonic excitation is more promising in damage detection. In this paper, in order to image the location of a closed crack, an instantaneous baseline measurement is adopted and the nonlinear response is extracted by using scaling subtraction method. A three-dimensional finite element model of a

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17

Zohra, Fatema Tuz, Omar Salim, Hossein Masoumi, Nemai C. Karmakar, and Shuvashis Dey. "Health Monitoring of Conveyor Belt Using UHF RFID and Multi-Class Neural Networks." Electronics 11, no. 22 (2022): 3737. http://dx.doi.org/10.3390/electronics11223737.

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Conveyor belts in mining sites are prone to cracks, which leads to dramatic degradation of overall system performance and the breakdown of operation. Crack detection using radio frequency identification (RFID) sensing technology is recently proposed to provide robust and low-cost health monitoring systems for conveyor belts. The intelligent machine learning (ML) technique is one of the most promising solutions for crack detection and successful implementation within the IoT paradigm. This paper presents a conveyor belt structural health monitoring (SHM) model using ML and Internet of Things (I

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18

Yuan, Hangming, Tao Jin, and Xiaowei Ye. "Establishment and Application of Crowd-Sensing-Based System for Bridge Structural Crack Detection." Applied Sciences 13, no. 14 (2023): 8281. http://dx.doi.org/10.3390/app13148281.

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The inspection of bridge structural cracks is essential to the structural safety evaluation and could provide reference for preventive maintenance. The traditional bridge structure inspection methods rely heavily on trained engineers with professional equipment. While such kind of way could provide reliable crack inspection data, the enormous amount of existing bridges waiting for inspection challenges the efficiency of these methods. Fortunately, the development of smartphones facilitates the possibility of making the pedestrian taking smartphones a mobile sensing node, which is able to colle

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Gui, Xin, Zhengying Li, Xuelei Fu, et al. "High-Density Distributed Crack Tip Sensing System Using Dense Ultra-Short FBG Sensors." Sensors 19, no. 7 (2019): 1702. http://dx.doi.org/10.3390/s19071702.

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Crack generation starts at the crack tip, which bears the highest stress concentration. Under further stress, the crack propagates and leads to severe structural damage. To avoid such damage, the identification of the crack tips, and monitoring of the surrounding stress and strain fields, are very important. In this work, the location of, and strain distribution monitoring around, the crack tip are achieved using a dense ultra-short (DUS) fiber Bragg grating (FBG) array together with an improved optical frequency domain reflectometry (OFDR) interrogator. The adjacent grating interference corre

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20

An, Qing, Xijiang Chen, Xiaoyan Du, Jiewen Yang, Shusen Wu, and Ya Ban. "Semantic Recognition and Location of Cracks by Fusing Cracks Segmentation and Deep Learning." Complexity 2021 (August 9, 2021): 1–15. http://dx.doi.org/10.1155/2021/3159968.

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For a long time, cracks can appear on the surface of concrete, resulting in a number of safety problems. Traditional manual detection methods not only cost money and time but also cannot guarantee high accuracy. Therefore, a recognition method based on the combination of convolutional neural network and cluster segmentation is proposed. The proposed method realizes the accurate identification of concrete surface crack image under complex background and improves the efficiency of concrete surface crack identification. The research results show that the proposed method not only classifies crack

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21

Song, Xiangbo. "Automatic bridge crack detection device based on quadrotor UAV." Journal of Physics: Conference Series 2031, no. 1 (2021): 012004. http://dx.doi.org/10.1088/1742-6596/2031/1/012004.

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Abstract For the bridge located in deep valley, with high tower and long span structure, the traditional artificial crack detection can not meet the needs of today. In order to solve this problem, a new bridge crack detection equipment is designed based on quadrocopter unmanned aerial vehicle. According to this equipment, the developed system contains: reconnaissance unmanned aerial vehicle system, acquisition and transmission system, crack positioning system, and graphics operations system. Reconnaissance UAV system is improved based on quadrocoper UAV to meet the requirements of flight power

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Deepak, Kute*1 &. Hredeya Mishra2. "TWO CRACK DETECTION IN TAPERED CANTILEVER BEAM USING NATURAL FREQUENCY AS BASIC CRITERION." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 7 (2018): 228–33. https://doi.org/10.5281/zenodo.1311656.

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Crack in a vibrating component changes the physical characteristics of a structure which in turn alter its dynamic response characteristics. Crack depth and crack location are main parameters for analysis. In this project a method has been proposed for the detection of open cracks based on frequency measurements on tapered cantilever beams. The present method enables one to detect a crack in a beam without the help of the massless rotational spring model. Both forward and inverse problems are solved and results are presented.In forward problem,the natural frequencies are determined by FEA soft

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Mr., Kadam Satish P., and Kachare P.S. Dr. "A Review on Detection of Cracks Present in Composite Cantilever Beam by using Vibration Analysis Technique." International Journal of Trend in Scientific Research and Development 1, no. 6 (2017): 743–49. https://doi.org/10.31142/ijtsrd4617.

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The aim of this paper is to discuss various techniques used by various researchers for vibration based crack detection in cracked composite structures. In aeronautical, mechanical and civil engineering fields various structural systems are likely to damage and deterioration during their working period. So it is very important to find damage and deterioration in structural member by an effective and reliable methodology. Interest in various damage detection methods has considerably increased in last few decades. A local flexibility is introduced in structural member due to the presence of crack

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Sayyad, FB, B. Kumar, and SA Khan. "Approximate analytical method for damage detection in free–free beam by measurement of axial vibrations." International Journal of Damage Mechanics 22, no. 1 (2012): 133–42. http://dx.doi.org/10.1177/1056789512440897.

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Nowadays, sophisticated structures and machinery parts are constructed by using metallic beams. Beams are widely used as structural element in civil, mechanical, naval, and aeronautical engineering. In structures and machinery, one undesirable phenomenon is crack initiation in which the impact cannot be seen overnight. Cracks develop gradually through time that lead finally to catastrophic failure. Therefore, crack should be monitored regularly with more care. This will lead to more effective preventive measure and ensure continuous operation of the structure and machine. Damage in structure a

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Mayekar, Vijay. "Crack Detection by Ultrasonic System on Locomotive-Track." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1910–16. http://dx.doi.org/10.22214/ijraset.2021.37681.

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Abstract: It has been found that major cause of the Railways accidents is due to the derailment attributed to the cracks developed on the rails. Crack development and its prolongation happens due to regular movement of locomotives, absence of timely detection. The maintenance lapse poses serious questions on the security of Railways transport operation. Manual detection of cracks on locomotive-tracks by maintenance team is arduous task, time consuming, irregular due to environmental factors and tight scheduling of trains, which may lead to maintenance work errors. This project aims at addressi

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Yu, Lingjun, and Qi Li. "Deep Learning based Pavement Crack Detection System." Journal of Physics: Conference Series 2560, no. 1 (2023): 012045. http://dx.doi.org/10.1088/1742-6596/2560/1/012045.

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Abstract The pavement crack causes the highway service life to shorten, the safety hidden danger to increase. The low efficiency and high cost of manual inspection makes it difficult to detect pavement cracks. This paper proposes a fast and efficient deep learning pavement crack detection system. CRACK2000, an image segmentation dataset with complex interference background and multiple crack types, is constructed based on perspective transformation and image cropping. The scheme corrects the pavement crack images by perspective transformation. The extraction of pavement crack depth features is

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Wang, Yulei, Shengxing Zhang, Yu Jia, Lei Tang, Jin Tao, and Hui Tian. "Forward Simulation and Complex Signal Analysis of Concrete Crack Depth Detection Using Tracer Electromagnetic Method." Buildings 14, no. 9 (2024): 2644. http://dx.doi.org/10.3390/buildings14092644.

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Cracks are the most typical faults of concrete structures, and their extension can lead to structural fracture. However, when cracks develop inside a structure, the most important depth information is invisible and difficult to measure. The tracer electromagnetic method is an effective technique for detecting the depth of concrete cracks, but since concrete is a multiphase stochastic composite material, its complex internal structure often interferes with the radar detection results, making the conventional radar interpretation technique difficult. In this study, the detection results for conc

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Sahu, Sasmita, Priyadarshi Biplab Kumar, and Dayal R. Parhi. "A hybridised CSAGA method for damage detection in structural elements." Mechanics & Industry 19, no. 4 (2018): 407. http://dx.doi.org/10.1051/meca/2018023.

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In recent years, significant developments have been noticed in nondestructive techniques for damage detection in cracked structures. Some of the proposed methods can be used to find out the existence of the crack; other methods locate and simultaneously find out the damage severity. In the current investigation, a novel hybridised method is proposed for damage detection in structural elements. The proposed method can be used to investigate both location and nature of damage in structures within a reasonable time limit. The problem in the current analysis requires a set of dynamic parameters th

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Makris, Ruben, Falk Hille, Marc Thiele, Dirk Kirschberger, and Damian Sowietzki. "Crack luminescence as an innovative method for detection of fatigue damage." Journal of Sensors and Sensor Systems 7, no. 1 (2018): 259–66. http://dx.doi.org/10.5194/jsss-7-259-2018.

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Abstract. Conventional non-destructive testing methods for crack detection provide just a snapshot of fatigue crack evolution at a specific location in the moment of examination. The crack luminescence coating realizes a clear visibility of the entire crack formation. The coating consists of two layers with different properties and functions. The bottom layer emits light as fluorescence under UV radiation. The top layer covers the fluorescing one and prevents the emitting of light in case of no damage at the surface. Several different experiments show that due to the sensitive coating even the

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Zhao, Jing, Yongqiang Wen, Aodi Yu, Wei Li, and Li Xia. "A Crack Detection Method for an Insulator Based on the Optical Frequency Domain Reflectometry Fiber Sensing System." Photonics 11, no. 9 (2024): 854. http://dx.doi.org/10.3390/photonics11090854.

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In this paper, a method for detection of crack locations and the width of basin insulators is proposed. Based on the optical frequency domain reflectometry (OFDR) system, the system utilizes an FBG with high feedback for strain as well as temperature, which is affixed to the surface of the tub insulator, and a common single-mode optical fiber, which is used for transmitting data and connected to the optical backscattering reflectometry interrogator. The interrogator measures the backscattered light from the FBG, which varies with temperature or strain. The method has been used to measure the l

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Ding, Weihua, Lin Zhu, Hu Li, et al. "Relationship between Concrete Hole Shape and Meso-Crack Evolution Based on Stereology Theory and CT Scan under Compression." Materials 15, no. 16 (2022): 5640. http://dx.doi.org/10.3390/ma15165640.

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To achieve more accurate prediction of the potential failure location and to conduct a deeper analysis of the failure mechanism of concrete constructions, it is critical to probe the evolution process of internal meso-cracks that bear various intensities of load. While a computer Tomography (CT) test provides a non-destructive detection technique for obtaining the internal meso-damage state of concrete, traditional image processing and Digital Image Correlation (DIC) are ineffective in extracting meso-damage information from concrete CT images. On the other hand, by observing the shape change

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Feng, Chuncheng, Hua Zhang, Haoran Wang, Shuang Wang, and Yonglong Li. "Automatic Pixel-Level Crack Detection on Dam Surface Using Deep Convolutional Network." Sensors 20, no. 7 (2020): 2069. http://dx.doi.org/10.3390/s20072069.

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Crack detection on dam surfaces is an important task for safe inspection of hydropower stations. More and more object detection methods based on deep learning are being applied to crack detection. However, most of the methods can only achieve the classification and rough location of cracks. Pixel-level crack detection can provide more intuitive and accurate detection results for dam health assessment. To realize pixel-level crack detection, a method of crack detection on dam surface (CDDS) using deep convolution network is proposed. First, we use an unmanned aerial vehicle (UAV) to collect dam

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Baek, Seung-Chan, Jintak Oh, Hyun-Jung Woo, In-Ho Kim, and Sejun Jang. "Localization of Cracks in Concrete Structures Lacking Reference Objects and Feature Points Using an Unmanned Aerial Vehicle." Applied Sciences 13, no. 17 (2023): 9918. http://dx.doi.org/10.3390/app13179918.

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Information on the location of cracks in concrete structures is an important factor enabling appropriate maintenance or reinforcement measures to be taken. Most studies related to concrete cracks are limited to crack detection and identification, and studies related to crack location information are insufficient. The novelty of this study is to develop application technology related to crack localization by proposing a methodology that can estimate the location of concrete cracks even when reference objects or feature points are lacking using an unmanned aerial vehicle and image processing tec

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K, Ravikumar, and Ithaya Priya B. "Identification of multiple crack locations in micro cantilever beam by wavelet transforms." Indian Journal of Science and Technology 13, no. 35 (2020): 3685–94. https://doi.org/10.17485/IJST/v13i35.1472.

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Abstract <strong>Background/Objectives:</strong> Presence of cracks in micro cantilever beams badly influence the performance of the device. This study is to propose suitable method utilizing wavelet transform to detect the cracks present over the structure of micro cantilever beams. <strong>Methods:</strong> The proposed device structure was designed and modeled using COMSOL Multi-physics simulation software.The signals obtained are analyzed using wavelet transform. <strong>Findings:</strong> Micro cantilevers shows difference in its vibrational frequency, stress and

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Fan, Jin Zhi. "Surface Crack Detection in Building Wall Based on Computer Vision." Applied Mechanics and Materials 651-653 (September 2014): 524–27. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.524.

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the detection technology of surface crack in building wall is studied to improve the accuracy of detection. To detect surface crack in the building wall, there will be a pixel overlap or distorted in the location of image connection if using traditional detection method to make fusion process for the different pixels. due to the accuracy requirements of image pixels in surface crack detection in building wall is relatively high, resulting in too low accuracy rate of surface crack detection in building wall. In order to avoid the above problem, a detection method for surface crack in building w

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Li, Zhongbo, Chao Yin, and Xixuan Zhang. "Crack Segmentation Extraction and Parameter Calculation of Asphalt Pavement Based on Image Processing." Sensors 23, no. 22 (2023): 9161. http://dx.doi.org/10.3390/s23229161.

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Crack disease is one of the most serious and common diseases in road detection. Traditional manual methods for measuring crack detection can no longer meet the needs of road crack detection. In previous work, the authors proposed a crack detection method for asphalt pavements based on an improved YOLOv5s model, which is a better model for detecting various types of cracks in asphalt pavements. However, most of the current research on automatic pavement crack detection is still focused on crack identification and location stages, which contributes little to practical engineering applications. B

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Barat, Vera, Artem Marchenkov, Sergey Ushanov, Vladimir Bardakov, and Sergey Elizarov. "Investigation of Acoustic Emission of Cracks in Rails under Loading Close to Operational." Applied Sciences 12, no. 22 (2022): 11670. http://dx.doi.org/10.3390/app122211670.

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The paper is devoted to the study of the possibility of detecting cracks in railway rails by the acoustic emission (AE) method. An experimental study of AE signals under cyclic compression loading of rail fragments, which simulates the rail operating load, has been carried out. Fragments of rails without defects, as well as fragments containing pre-grown fatigue cracks, were studied. It was found that AE signals generated by a rail with a crack have higher activity compared to signals from defect-free specimens. It is shown that the AE signals during the loading of defect-free specimens have a

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Mohammadzadeh, Mohammad, Gül E. Okudan Kremer, Sigurdur Olafsson, and Paul A. Kremer. "AI-Driven Crack Detection for Remanufacturing Cylinder Heads Using Deep Learning and Engineering-Informed Data Augmentation." Automation 5, no. 4 (2024): 578–96. http://dx.doi.org/10.3390/automation5040033.

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Detecting cracks in cylinder heads traditionally relies on manual inspection, which is time-consuming and susceptible to human error. As an alternative, automated object detection utilizing computer vision and machine learning models has been explored. However, these methods often face challenges due to a lack of sufficiently annotated training data, limited image diversity, and the inherently small size of cracks. Addressing these constraints, this paper introduces a novel automated crack-detection method that enhances data availability through a synthetic data generation technique. Unlike ge

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Gu, Wenchuan, Xuezeng Liu, and Zhen Li. "Sustainable Infrastructure Maintenance: Crack Depth Detection in Tunnel Linings via Natural Temperature Variations and Infrared Imaging." Sustainability 16, no. 9 (2024): 3731. http://dx.doi.org/10.3390/su16093731.

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In this research, we propose the use of infrared detection methods for identifying cracks in the tunnel lining of concrete structures. Through thermal simulation experiments on pre-existing cracks, we investigate the heat conduction patterns in cracked linings under natural temperature variations. The influence of temperature differences inside and outside the lining, crack depth, and crack width on the temperature distribution on the inner surface of the lining is analyzed by using a controlled variable approach. This exploration aims to assess the feasibility and applicable conditions of usi

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Meng, G., and E. J. Hahn. "Dynamic Response of a Cracked Rotor With Some Comments on Crack Detection." Journal of Engineering for Gas Turbines and Power 119, no. 2 (1997): 447–55. http://dx.doi.org/10.1115/1.2815595.

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By considering time-dependent terms as external excitation forces, the approximate dynamic response of a cracked horizontal rotor is analyzed theoretically and numerically. The solution is good for small cracks and small vibrations in the stable operating range. For each steady-state harmonic component, the forward and backward whirl amplitudes, the shape and orientation of the elliptic orbit, and the amplitude and phase of the response signals are analyzed, taking into account the effect of crack size, crack location, rotor speed, and unbalance. It is found that the crack causes backward whir

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Li, Shengli, Chaoqun Wang, Panxu Sun, Guangming Wu, and Dongwei Wang. "A localization method for concealed cracks in the road base based on ground penetrating radar." Advances in Mechanical Engineering 8, no. 12 (2016): 168781401668315. http://dx.doi.org/10.1177/1687814016683154.

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Phenomenon of concealed cracks is one of the familiar failures in the road base. Accurate concealed crack localization of the road base using ground penetrating radar still suffers from some limitations. To accurately locate the concealed cracks in the road base, an effective concealed crack localization method based on ground penetrating radar is proposed in this article: first, continuous ground penetrating radar scanning and manual point-by-point detection are performed to determine the location of the concealed crack roughly; then the ground penetrating radar–based ellipse method and an im

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Tapeinos, Christos I., Maria D. Kamitsou, Konstantinos G. Dassios, Dimitris Kouzoudis, Aggeliki Christogerou, and Georgios Samourgkanidis. "Contactless and Vibration-Based Damage Detection in Rectangular Cement Beams Using Magnetoelastic Ribbon Sensors." Sensors 23, no. 12 (2023): 5453. http://dx.doi.org/10.3390/s23125453.

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This study investigated the innovative use of magnetoelastic sensors to detect the formation of single cracks in cement beams under bending vibrations. The detection method involved monitoring changes in the bending mode spectrum when a crack was introduced. The sensors, functioning as strain sensors, were placed on the beams, and their signals were detected non-invasively using a nearby detection coil. The beams were simply supported, and mechanical impulse excitation was applied. The recorded spectra displayed three distinct peaks representing different bending modes. The sensitivity for cra

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Ntakpe, Jean Louis, Gilbert Rainer Gillich, Florian Muntean, Zeno Iosif Praisach, and Peter Lorenz. "Vibration-Based Crack Detection in L-Frames." Applied Mechanics and Materials 658 (October 2014): 261–68. http://dx.doi.org/10.4028/www.scientific.net/amm.658.261.

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This paper presents a novel non-destructive method to locate and size damages in frame structures, performed by examining and interpreting changes in measured vibration response. The method bases on a relation, prior contrived by the authors, between the strain energy distribution in the structure for the transversal vibration modes and the modal changes (in terms of natural frequencies) due to damage. Using this relation a damage location indicator DLI was derived, which permits to locate cracks in spatial structures. In this paper an L-frame is considered for proving the applicability of thi

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Gavrilov, A. A., G. I. Grebenyuk, V. I. Maksak, and N. A. Morozov. "Crack modeling of metal rod eigen-frequencies." Vestnik Tomskogo gosudarstvennogo arkhitekturno-stroitel'nogo universiteta. JOURNAL of Construction and Architecture 23, no. 2 (2021): 56–64. http://dx.doi.org/10.31675/1607-1859-2021-23-2-56-64.

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The paper presents the development of approaches to the crack detection in metal rod structures based on the analysis of the lowest eigen-frequency modes. Full-scale experiments and numerical calculations are carried out, and the obtained results are compared. A vibration analyzer is used for full-scale experiments, and numerical calculations are performed by using Autodesk Inventor. With regard to the internal friction, the antinodes of various vibration forms were identified using a specially developed program. The model includes sensors for the the field experiment as masses affecting the f

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Park, Philip, Yong Hak Huh, Dong Jin Kim, and Byung Jik Son. "Crack Detection by Static Measurement in Steel Beams." Key Engineering Materials 321-323 (October 2006): 394–99. http://dx.doi.org/10.4028/www.scientific.net/kem.321-323.394.

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Effects of crack on static behavior in steel box girder were investigated to identify the possibility of crack detection and location using conventionally measured static data including deflection and inclination. Finite element analysis with finely meshed 3-D models and experiments were performed for steel box girder with crack. To eliminate the variation according to load magnitude, compliance technique was applied to analysis of the result. Through this study, the quantitative relationship between crack size and structural responses of deflection and inclination were obtained as a form of r

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Ashwini, Kosanam, Sasmita Sahu, Bijaya Bijeta Nayak, and Sudesna Roy. "Damage detection in structural elements: using adaptive Mamdani model." E3S Web of Conferences 391 (2023): 01165. http://dx.doi.org/10.1051/e3sconf/202339101165.

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In real life all the structural and machine elements work under dynamic or variable loading. Application of dynamic loading leads to fluctuating stress. Due to fluctuating stress fatigue cracks initiates. These fatigue cracks are the main reason of failures. So, it is very important to detect the crack and predict the crack life. There are different types of damages but crack is one of the most encountered damage. There are different conventional methods to detect the damage but these methods are time taking and requires removal from the machines. Therefore, researchers are giving more importa

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Siddharath, Yadav1 Er. Shubham Srivastava2 &. Rishabh Joshi3. "ANALYSIS OF CRACK IDENTIFICATION IN BEAM USING FINITE ELEMENT METHOD." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 8 (2018): 52–55. https://doi.org/10.5281/zenodo.1339354.

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Crack in any structure changes the dynamic behaviour of the structure and by examining this change location and severity of the crack can be identified. Non-destructive testing (NDT) methods are used for detecting the location and severity i.e. crack size but these techniques are costly and time consuming. Modal parameters like natural frequency, mode shape can be used to detect the crack in beams. The present work is aimed for detection of open transverse crack in a Euler Bernoulli beam. The crack considered is an open crack and the analysis is made for linear behaviour of the beam. Finite el

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Brockman, R. A., R. John, and M. A. Huelsman. "Using deformation modes to identify cracks in turbine engine compressor disks." Aeronautical Journal 113, no. 1150 (2009): 811–19. http://dx.doi.org/10.1017/s0001924000003468.

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Abstract Recent studies show that analytical predictions of crack growth in rotating components can be used in conjunction with displacement measurement techniques to identify critical levels of fatigue damage. However, investigations of this type traditionally have focused on the detection of damage at known flaw locations. This paper addresses the related problem of estimating damage associated with flaws at unknown locations, through the combined use of analytical models and measured vibration signatures. Because the measured data are insufficient to identify a unique solution for the locat

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Wang, Fei, and Xue Zeng Zhao. "Nondestructive Detection of a Crack in a Triangular Cantilever Beam Based on Frequency Measurement." Key Engineering Materials 353-358 (September 2007): 2285–88. http://dx.doi.org/10.4028/www.scientific.net/kem.353-358.2285.

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Triangular cantilevers are usually used as small force sensors in the transverse direction. Analyzing the effect of a crack on transverse vibration of a triangular cantilever will be of value to users and designers of cantilever deflection force sensors. We present a method for prediction of location and size of a crack in a triangular cantilever beam based on measurement of the natural frequencies in this paper. The crack is modeled as a rotational spring. The beam is treated as two triangular beams connected by a rotational spring at the crack location. Formulae for representing the relation

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Zhang, Qinghua, and Ziming Xiong. "Crack Detection of Reinforced Concrete Structures Based on BOFDA and FBG Sensors." Shock and Vibration 2018 (September 3, 2018): 1–10. http://dx.doi.org/10.1155/2018/6563537.

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Reinforced concrete structural elements, as an important component of buildings and structures, require inspection for the purposes of crack detection which is an important part of structural health monitoring. Now existing crack detection methods usually use a single technology and can only detect internal or external cracks. In this paper, the authors propose a new sensing system combining BOFDA (Brillouin optical frequency-domain analysis) and FBG (fiber Bragg grating) technology, which are used to detect internal and surface cracks and their development in reinforced concrete structures, a

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