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Relevant bibliographies by topics / Artificial crack

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Academic literature on the topic 'Artificial crack'

Author: Grafiati

Published: 2 November 2024

Last updated: 31 July 2025

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Journal articles on the topic "Artificial crack"

1

Raihan, Prodhan Md Safiq, Anik Md Shahjahan, Shamima Akter Shimky, et al. "Pavement Crack Detection and Solution with Artificial Intelligence." European Journal of Theoretical and Applied Sciences 2, no. 4 (2024): 277–314. http://dx.doi.org/10.59324/ejtas.2024.2(4).25.

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Detecting and repairing pavement cracks is essential to ensure road safety and longevity. Traditional inspection and maintenance methods are time-consuming, expensive and often inaccurate. In recent years, there has been a growing trend to use artificial intelligence (AI) to automate the process of pavement crack detection and repair. The article focuses on using AI techniques to detect pavement cracks and provide solutions to repair them. The proposed solution is based on using deep learning algorithms to analyze high-resolution images of the road surface. Photos are taken with a vehicle came

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Prodhan, Md Safiq Raihan, Md Shahjahan Anik, Akter Shimky Shamima, et al. "Pavement Crack Detection and Solution with Artificial Intelligence." European Journal of Theoretical and Applied Sciences 2, no. 4 (2024): 277–314. https://doi.org/10.59324/ejtas.2024.2(4).25.

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Detecting and repairing pavement cracks is essential to ensure road safety and longevity. Traditional inspection and maintenance methods are time-consuming, expensive and often inaccurate. In recent years, there has been a growing trend to use artificial intelligence (AI) to automate the process of pavement crack detection and repair. The article focuses on using AI techniques to detect pavement cracks and provide solutions to repair them. The proposed solution is based on using deep learning algorithms to analyze high-resolution images of the road surface. Photos are taken with a vehicle came

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3

Dania, Rita, Adebisi Bamgbade, and Abdulmajid Isiaka. "EVALUATION OF BUILDING CRACKS USING ARTIFICIAL INTELLIGENCE BASED CRACK DETECTION SOFTWARE (ABECIS)." Nile Journal of Engineering and Applied Science 2, no. 2 (2025): 1. https://doi.org/10.5455/njeas.197737.

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Various traditional methods have been applied to detect cracks, these are prone to errors, require high human capital, high cost of equipment is involved and it is time consuming. In recent times, more sophisticated technologically based methods have been developed and used in the detection and analysis of cracks, inclusive of more advanced Artificial Intelligence (AI) technology. This study is aimed at evaluating the AI based Crack detection software for crack analysis. Cracks images were identified and captured using an android based smart phone from some selected residential buildings withi

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Kuttimarks, Dr M. S. "Crack Detection of Structures using Artificial Intelligence System." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 1894–901. http://dx.doi.org/10.22214/ijraset.2024.61958.

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Abstract: Structural Health Monitoring (SHM) having wider scope of operations such as structural audit, rehabilitation of structures and along with it a major scope of crack detection is also included. Effective crack detection is vital for ensuring the safety and longevity of civil engineering structures. Crack Detection in existing methods is tedious process, it requires costly equipment’s as well as time consuming, and inaccuracy in mechanical equipment’s. The technological advancements especially in the field of Artificial Intelligence (AI) maybe an acceptable solution for crack identifica

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Wang, Zi Zhen, Ri He Wang, Yu Huan Bu, and Xun Shan. "A New Method of Preparing Artificial Cores with Certain Cracks for Experiment Study of Elastic Wave Propagation." Advanced Materials Research 356-360 (October 2011): 2954–57. http://dx.doi.org/10.4028/www.scientific.net/amr.356-360.2954.

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Crack universally existing underground is an important kind of pores. In order to study the elastic wave propagation in fractured medium through experiment, a new method to make artificial core with certain cracks using oil well cement and camphor sheet or thin steel sheet is put forward. Geometric parameters of the crack, such as shape, size and aspect ratio, are approximately equal to that of camphor sheet or thin steel sheet. Using the thin steel sheet to make crack can be more easy and accurate to control the crack angle than using camphor sheet. The crack opening scales at millimeters. Th

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Wu, Zhenkai, Xizhe Li, Hanmin Xiao, et al. "The Establishment and Evaluation Method of Artificial Microcracks in Rocks." Energies 14, no. 10 (2021): 2780. http://dx.doi.org/10.3390/en14102780.

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It is necessary to carry out experiments on cores with different degrees of crack development when studying the seepage law of cracked reservoirs and evaluating cracks. The seepage experiment in the laboratory requires cores with different degrees of microcrack development; cores obtained via conventional drilling cannot meet the requirements, and the efficacies and evaluation methods of geological parameters used for artificial cracks are not perfect. In this study, cores are loaded using a triaxial gripper, and cracks are produced by changing the difference of stress; the relationship betwee

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Sakamoto, Junji, Yoshimasa Takahashi, and Hiroshi Noguchi. "Small Fatigue Crack Growth Behavior from Artificial Notch with Focused Ion Beam in Annealed 0.45% Carbon Steel." Key Engineering Materials 488-489 (September 2011): 319–22. http://dx.doi.org/10.4028/www.scientific.net/kem.488-489.319.

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The aim of this study is firstly to investigate the applicability of a sharp notch with Focused Ion Beam (FIB) as a crack for fatigue limit evaluation. Secondly we investigate a condition in which artificial defects (drilled hole, FIB notch) can be used as a crack for fatigue limit evaluation. To achieve the aim, the growth behaviors and the non-propagating crack sizes of small fatigue cracks initiated from a FIB notch and a drilled hole are carefully compared with those of an annealed fatigue crack which imitates an ideally sharp crack. The results show that a FIB notch can be used as a crack

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Fathalla, Eissa, Yasushi Tanaka, Koichi Maekawa, and Akito Sakurai. "Quantitative Deterioration Assessment of Road Bridge Decks Based on Site Inspected Cracks." Applied Sciences 8, no. 7 (2018): 1197. http://dx.doi.org/10.3390/app8071197.

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By integrating a multi-scale simulation with the pseudo-cracking method, the remaining fatigue life of in-service reinforced concrete (RC) bridge decks can be estimated based upon their site-inspected crack patterns. But, it still takes time for computation. In order to achieve a quick deterioration-magnitude assessment of RC decks based upon their crack patterns, two evaluation methods are proposed. A predictive correlation between the remaining fatigue life and the cracks density (both cracks length and width) is presented as a fast judgment. For fair-detailed judgment, an artificial neural

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Hendroprasetyo, Wing, and Henry Haidar Jati Andrian. "Analysis of Eddy Current Testing Detection Ability to the Varied Longitudinal Cracks on Coated Weld Metal Tee Joint of 5083 Aluminum Ship Structure." IOP Conference Series: Earth and Environmental Science 972, no. 1 (2022): 012041. http://dx.doi.org/10.1088/1755-1315/972/1/012041.

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Abstract Due to its service, crack sometimes occur on the coated 5083 aluminum weld metal. One method for finding crack under protective coating is by using eddy current testing (ECT). This method of nondestructive testing relies on a circular electrical path generated by the coils positioned just above the surface being examined. The purpose of this research is to analyze the sensitivity of ECT by using variety of crack dimensions on 5083 aluminum welded plate tee joint. Five test pieces, each 200 mm × 50 mm × 10 mm were used and each sample contain four cracks. Artificial cracks are fabricat

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Kim, Jung Jin, Ah-Ram Kim, and Seong-Won Lee. "Artificial Neural Network-Based Automated Crack Detection and Analysis for the Inspection of Concrete Structures." Applied Sciences 10, no. 22 (2020): 8105. http://dx.doi.org/10.3390/app10228105.

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The damage investigation and inspection methods for infrastructures performed in small-scale (type III) facilities usually involve a visual examination by an inspector using surveying tools (e.g., cracking, crack microscope, etc.) in the field. These methods can interfere with the subjectivity of the inspector, which may reduce the objectivity and reliability of the record. Therefore, a new image analysis technique is needed to automatically detect cracks and analyze the characteristics of the cracks objectively. In this study, an image analysis technique using deep learning is developed to de

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Dissertations / Theses on the topic "Artificial crack"

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Rehman, Atiq-Ur. "An investigation of methods of reducing fatigue crack growth by artificial crack-closure effects." Thesis, University of Salford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315379.

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Yang, Jidong. "Road crack condition performance modeling using recurrent Markov chains and artificial neural networks." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000567.

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Bezerra, Agnes. "The Use of Artificial Intelligence for Assessing Damage in Concrete Affected by Alkali-Silica Reaction (ASR)." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42730.

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Over the last decades, numerous techniques have been proposed worldwide to assess the actual damage of critical concrete infrastructure. A method that has progressively been used in North America is a novel microscopic tool, the Damage Rating Index (DRI). This semi-quantitative petrographic tool was developed to reliably appraise both the nature and degree of damage in concrete affected by alkali-silica reaction (ASR), which may threaten the serviceability and the durability of concrete infrastructure around the world. Performing the DRI consists of counting numerous distress features (i.e. cl

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田中, 啓介, Keisuke TANAKA, 義明秋庭 та ін. "防振ゴム材料における疲労き裂進展挙動へのJ 積分の適用". 日本機械学会, 2003. http://hdl.handle.net/2237/9154.

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Furfari, Domenico. "Short track growth from artificial defects in Ti-10V-2Fe-3Al : a study using optical techniques for crack measurements and detection." Thesis, Cranfield University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427204.

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Hou, Chuanchuan. "Vibration-based damage identification with enhanced frequency dataset and a cracked beam element model." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/20434.

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Damage identification is an important topic in structural assessment and structural health monitoring (SHM). Vibration-based identification techniques use modal data to identify the existence, location and severity of possible damages in structures, often via a numerical model updating procedure. Among other factors influencing the practicality and reliability of a damage identification approach, two are of primary interest to this study. The first one concerns the amount and quality of modal data that can be used as ‘response’ data for the model updating. It is generally recognised that natur

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Ingabire, Annick, and Robin Olsson. "Standardization of Eddy Current Testing Calibration for Valve Spring Wire." Thesis, KTH, Industriell produktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232712.

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Elektromagnetisk provning (ECT) har blivit en av de mest använda metoderna för attkvalitetssäkra produkter där icke-destruktiv testning av material krävs. Vid provning av ståltrådinteragerar utrustningen med det testade materialet och upptäcker ytdefekter och, i vissomfattning, om strukturen skiljer sig från det kalibrerade provet. Om produkten befinner sigutanför specifikationen, skrotas den eller ombearbetas. Denna Mastersuppsats undersökerkalibreringsförfarandet för elektromagnetisk provning som utförs av Suzuki Garphyttan, som är enav de största tillverkarna i världen av ventil- och transm

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Nguyen, Thi Thu Trang. "Influence de l'effet de l'interface acier/béton (top-bar effect) sur la corrosion de structures en béton armé exposées en environnement de chlorures ou de carbonatation." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEI009.

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Le béton armé est connu l’un des matériaux les plus utilisés dans la construction. Néanmoins, après une période de mise en exploitation, il peut se corroder. Les chlorures et la carbonatation sont les principaux facteurs provoquant la corrosion des structures en béton armé. La thèse a pour objectif d’étudier le comportement à la corrosion du béton armé sous l’environnement de carbonatation ou des chlorures, correspondant à l'influence de l’effet de la qualité de l’interface acier/mortier (top-bar effet), du type de ciment ainsi que de la fissure transversale artificielle ou des fissures transv

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Mirjana, Filipovic. "Evolution of artificial defects during shape rolling." Licentiate thesis, Högskolan Dalarna, Materialvetenskap, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:du-5215.

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Very often defects are present in rolled products. For wire rods, defects are very deleterious since the wire rods are generally used directly in various applications. For this reason, the market nowadays requires wire rods to be completely defect-free. Any wire with defects must be rejected as scrap which is very costly for the production mill. Thus, it is very important to study the formation and evolution of defects during wire rod rolling in order to better understand and minimize the problem, at the same time improving quality of the wire rods and reducing production costs. The present wo

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Datsiou, Kyriaki Corinna. "Design and performance of cold bent glass." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/269408.

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The demand for flat glass is high and increasing significantly in the building industry as a direct result of architectural requirements for lightness, transparency and natural light. Current architectural trends require glass in curvilinear forms for smooth free-form façades. Two principal challenges arise from this: to cost-effectively produce the desired curvature and; to ensure its safe performance after exposure to ageing. The recent availability of high strength glass provides an opportunity to address the first challenge by developing cold bent glass. Cold bending involves the strainin

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Books on the topic "Artificial crack"

1

Rehman, Atiq-Ur. An investigation of methods of reducing fatigue crack growth by artificial crack-closure effects. University of Salford, 1992.

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2

Rosenberg, Tom, Brian Taylor, and Mark Neveldine. Crank 2: High voltage. Lionsgate, 2009.

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Book chapters on the topic "Artificial crack"

1

Li, Wei, Xin’an Yuan, Jianming Zhao, Xiaokang Yin, and Xiao Li. "Research on Real-time and High-Precision Cracks Inversion Algorithm for ACFM Based on GA-BP Neural Network." In Alternating Current Field Measurement Technique for Detection and Measurement of Cracks in Structures. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-7255-1_1.

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AbstractAlternating current field measurement (ACFM) technology is an emerging nondestructive testing method, which has been used widely in oil industry for detecting and evaluating of surface cracks on structures. It is hard to achieve real-time and high-precision cracks inversion for ACFM based on traditional characteristic signals. In this paper, based on the finite element method (FEM) model of electromagnetic coupling ACFM probe, the energy spectrum and phase threshold determination method is present to obtain the crack characteristic signals in real time. The real-time and high- precisio

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Aravindkumar, S., P. Varalakshmi, and Chindhu Alagappan. "Automatic Road Surface Crack Detection Using Deep Learning Techniques." In Artificial Intelligence and Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6448-9_4.

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Mahmud, Mat Nizam, Nur Nadhirah Naqilah Ahmad Sabri, Muhammad Khusairi Osman, et al. "Pavement Crack Detection from UAV Images Using YOLOv4." In Artificial Intelligence and Industrial Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43520-1_7.

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Palanisamy, T., Rajat Shakya, Sudeepthi Nalla, and Sai Shruti Prakhya. "Crack Detection in Concrete Using Artificial Neural Networks." In Lecture Notes in Civil Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12011-4_74.

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Roul, Rajendra Kumar, Navpreet, and Jajati Keshari Sahoo. "Ensemble-Based Road Surface Crack Detection: A Comprehensive Approach." In Big Data and Artificial Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-49601-1_12.

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Nabizadeh, Elham, and Anant Parghi. "Deep Learning-Based Concrete Crack Detection Using YOLO Architecture." In Artificial Intelligence and Smart Vehicles. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43763-2_11.

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Seguini, Meriem, Tawfiq Khatir, Samir Khatir, Djilali Boutchicha, Nedjar Djamel, and Magd Abdel Wahab. "Crack Identification in Pipe Using Improved Artificial Neural Network." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4835-0_2.

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Tran, Luc V., Trung Hieu Tran, and Thanh Danh Tran. "Fast Evaluation of Crack Propagation Using Artificial Neural Network." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3912-0_12.

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Li, Yaoyao, Pengyu Liu, Shanji Chen, Kebin Jia, and Tianyu Liu. "The Identification of Slope Crack Based on Convolutional Neural Network." In Advances in Artificial Intelligence and Security. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78618-2_2.

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Dunis, Christian L., Peter W. Middleton, Konstantinos Theofilatos, and Andreas Karathanasopoulos. "Modelling, Forecasting and Trading the Crack: A Sliding Window Approach to Training Neural Networks." In Artificial Intelligence in Financial Markets. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-48880-0_3.

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Conference papers on the topic "Artificial crack"

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Gangdhar, Sangeeta, and S. N. Patil. "Concrete Crack Detection Using Artificial Intelligence." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842855.

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Bostancioglu, Onur, and Levent Karacan. "Crack Detection with Conditional Diffusion Model." In 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2024. http://dx.doi.org/10.1109/idap64064.2024.10711097.

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Rani, B. Usha, V. Yamuna, Linga Raju Behera, Sai Chetan Ijjada, Ratnala Vineeth, and Sai Sravani Gollapudi. "Road Crack Detection using Deep Learning." In 2024 2nd International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR). IEEE, 2024. https://doi.org/10.1109/icaitpr63242.2024.10959941.

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Yan, Weiguo, Hongrui Cao, Jun Zhao, and Jianghai Shi. "Analysis of Maximum Crack Opening Displacement of Turbine Disk Cracks Under Low Cycle Fatigue Load." In 2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD). IEEE, 2024. https://doi.org/10.1109/icsmd64214.2024.10920553.

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Cardellicchio, Angelo, Vito Renò, Sergio Ruggieri, Vincenzo Mario Di Mucci, Andrea Nettis, and Giuseppina Uva. "A probabilistic approach for evaluating crack defects in reinforced concrete bridges." In Multimodal Sensing and Artificial Intelligence for Sustainable Future, edited by Claas Falldorf, Francesco Soldovieri, Vittorio Bianco, and Pascal Picart. SPIE, 2025. https://doi.org/10.1117/12.3061981.

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Keerthana, Bodduru, Jathuka Aruna Devi, Surisetty Madhuri, Marada Srinivasa Rao, Koduganti Venkata Rao, and PSS Geethika. "Building Crack Detection Using CNN and Class Activation Mapping." In 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA). IEEE, 2024. https://doi.org/10.1109/icaiqsa64000.2024.10882460.

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Hamdan, Anwar, Ahmed Bingamil, Sadeque Hamdan, et al. "Crack Width Detection for Concrete Structures Using Thermal Images and Artificial Neural Network." In 2024 17th International Conference on Development in eSystem Engineering (DeSE). IEEE, 2024. https://doi.org/10.1109/dese63988.2024.10911945.

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Florea, Flaviu-Catalin, Horea Grebla, Gilbert-Rainer Gillich, Bogdan Bindea, and Catalin Rusu. "Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach." In 17th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013131400003890.

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Wang, Zikang, and Shanjun Zhang. "Development of a roadway crack detection system tailored for specific environments." In Sixth International Conference on Image, Video Processing and Artificial Intelligence (IVPAI 2024), edited by Ruidan Su. SPIE, 2024. http://dx.doi.org/10.1117/12.3046210.

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Liu, Rufei, Ruixin Lai, Hongwei Ren, Yi Zhang, Zeyu Li, and Zhanwen Su. "Road Pavement Crack Detection Algorithm Based on Vehicle Panoramic Image." In 2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE). IEEE, 2024. http://dx.doi.org/10.1109/icbase63199.2024.10762020.

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Reports on the topic "Artificial crack"

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Nestleroth, Dr J. Bruce. PR-3-823-R01 Remote Field Eddy Current Detection of Stress-Corrosion Cracks. Pipeline Research Council International, Inc. (PRCI), 1990. http://dx.doi.org/10.55274/r0011870.

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The feasibility of detecting stress-corrosion cracks (SCC) using the Remote Field Eddy Current (RFEC) technique was demonstrated. The RFEC technique interrogates the entire thickness of the pipe and is applicable for in-line inspection. If it can be shown that the RFEC technique is effective in detecting SCC, then the technique is an ideal method for detecting the defects of interest. A defect detection model is proposed for explaining the mechanism for crack detection. For axially orientated, closed cracks, such as SCC, the conventional defect detection model proved to be too simplistic and n

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Kanakamedala, Deven, Jungil Seo, Amit H. Varma, Robert J. Connor, and Anna Tarasova. Shear and Bearing Capacity of Corroded Steel Beam Bridges and the Effects on Load Rating. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317634.

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Corrosion in the girders of steel girder bridges often occurs due to the deicing salts, water, and other debris that leak through the deck joints into the web and bottom flange at the girder ends. Corrosion causes loss of cross-sectional area leading to a reduction in section properties of the member, which eventually results in a reduction in structural resistance against shear and bearing. In this study, seven full-scale tests were performed on decommissioned steel girders acquired from bridges scheduled for demolition in Indiana. Two of the four girders had severe corrosion with cracks and

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