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Publication search results
found 84 matches
- 2023
- Dabin Yang, Sanghoon Lee, Jongsoo Lee:
Crack growth degradation-based diagnosis and design of high pressure liquefied natural gas pipe via designable data-augmented anomaly detection. J. Comput. Des. Eng. 10(4): 1531-1546 (2023) - Intisar Omar, Muhammad A. Khan, Andrew Starr:
Suitability Analysis of Machine Learning Algorithms for Crack Growth Prediction Based on Dynamic Response Data. Sensors 23(3): 1074 (2023) - Shengrun Shi, Guiyi Wu, Hui Chen, Shuyan Zhang:
Acoustic Emission Monitoring of Fatigue Crack Growth in Hadfield Steel. Sensors 23(14): 6561 (2023) - Ligang Shen, Mohamed Soliman:
Automated Vision-Based Fatigue Crack Growth Monitoring Based on Background Subtraction. SN Comput. Sci. 4(5): 670 (2023) - Oleksandr Andreykiv, Iryna Dolinska, Sviatoslav Nastasiak, Vasyl Sheketa:
Mathematical Modeling of Hydrogen Cracks Growth Kinetics in Metallic Materials at High Hydrogen Parameters. ACIT 2023: 88-91 - Yingjie Zhao, Yong Liu, Zhiping Xu:
Predicting Fatigue Crack Growth via Path Slicing and Re-Weighting. CoRR abs/2309.06708 (2023) - Florent Forest, Hugo Porta, Devis Tuia, Olga Fink:
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring. CoRR abs/2309.11267 (2023) - Nicholas E. Silionis, Konstantinos N. Anyfantis:
Surrogate modeling for stochastic crack growth processes in structural health monitoring applications. CoRR abs/2310.07241 (2023) - 2022
- Yuteng Jin, Siddharth Misra:
Controlling mixed-mode fatigue crack growth using deep reinforcement learning. Appl. Soft Comput. 127: 109382 (2022) - Mohammad Malekan, Ali Khosravi, Luc St-Pierre:
An Abaqus plug-in to simulate fatigue crack growth. Eng. Comput. 38(4): 2991-3005 (2022) - Wongon Kim, Guesuk Lee, Hyejeong Son, Hyunhee Choi, Byeng D. Youn:
Estimation of fatigue crack initiation and growth in engineering product development using a digital twin approach. Reliab. Eng. Syst. Saf. 226: 108721 (2022) - Catalin Mandache, Richard Desnoyers, Yan Bombardier:
Crack Growth Monitoring with Structure-Bonded Thin and Flexible Coils. Sensors 22(24): 9958 (2022) - Samuel Nowak, Taghi Sherizadeh, Mina Esmaeelpour, Dogukan Guner, Kutay E. Karadeniz:
Hybrid Fiber Optic Cable for Strain Profiling and Crack Growth Measurement in Rock, Cement, and Brittle Installation Media. Sensors 22(24): 9685 (2022) - Xinyue Yao, Benjamin Steven Vien, Chris Davies, Wing Kong Chiu:
Acoustic Emission Source Characterisation during Fatigue Crack Growth in Al 2024-T3 Specimens. Sensors 22(22): 8796 (2022) - Prasannata Bhange, Deepak Kumar Joshi, Amit Acharyya, Sunil Kumar Pandu, Kamal Mankari, Swati Ghosh Acharyya, K. Sridhar:
Phase Space Reconstruction Based Real Time Fatigue Crack Growth Estimation for Structural Health Monitoring Ships. LASCAS 2022: 1-4 - R. Fernández-Sousa, Covadonga Betegón, Emilio Martínez-Pañeda:
Cohesive zone modelling of hydrogen assisted fatigue crack growth: the role of trapping. CoRR abs/2204.07079 (2022) - 2021
- Honghui Wang, Xin Fang, Guijie Liu, Yingchun Xie, Xiaojie Tian, Dingxin Leng, Weilei Mu:
An Approach to Predicting Fatigue Crack Growth Under Mixed-Mode Loading Based on Improved Gaussian Process. IEEE Access 9: 48777-48792 (2021) - Si-Yu Kong, Jian-Sheng Fan, Yu-Fei Liu, Xiao-Chen Wei, Xiao-Wei Ma:
Automated crack assessment and quantitative growth monitoring. Comput. Aided Civ. Infrastructure Eng. 36(5): 656-674 (2021) - Le Zhang, Zhichen Wang, Lei Wang, Zhe Zhang, Xu Chen, Lin Meng:
Machine learning-based real-time visible fatigue crack growth detection. Digit. Commun. Networks 7(4): 551-558 (2021) - Jian Chen, Shenfang Yuan, Claudio Sbarufatti, Xin Jin:
Dual crack growth prognosis by using a mixture proposal particle filter and on-line crack monitoring. Reliab. Eng. Syst. Saf. 215: 107758 (2021) - Ángela Angulo, Cristinel Mares, Tat-Hean Gan:
Diagnostic Feature Extraction and Filtering Criterion for Fatigue Crack Growth Using High Frequency Parametrical Analysis. Sensors 21(15): 5030 (2021) - Roshan Joseph, Hanfei Mei, Asaad Migot, Victor Giurgiutiu:
Crack-Length Estimation for Structural Health Monitoring Using the High-Frequency Resonances Excited by the Energy Release during Fatigue-Crack Growth. Sensors 21(12): 4221 (2021) - Philip K. Kristensen, Christian F. Niordson, Emilio Martínez-Pañeda:
An assessment of phase field fracture: crack initiation and growth. CoRR abs/2103.05443 (2021) - Xuan Zhou, Shuangxin He, Leiting Dong, Satya N. Atluri:
Real-Time Prediction of Probabilistic Crack Growth with a Helicopter Component Digital Twin. CoRR abs/2105.03668 (2021) - Zohel Khalil, A. Y. Elghazouli, Emilio Martínez-Pañeda:
A generalised phase field model for fatigue crack growth in elastic-plastic solids with an efficient monolithic solver. CoRR abs/2110.10425 (2021) - Marlini Simoes, C. Braithwaite, A. Makaya, Emilio Martínez-Pañeda:
Modelling fatigue crack growth in Shape Memory Alloys. CoRR abs/2112.08209 (2021) - 2020
- Junlei Ding, Tiantang Yu, Yin Yang, Tinh Quoc Bui:
An efficient variable-node XFEM for modeling multiple crack growth: A Matlab object-oriented implementation. Adv. Eng. Softw. 140 (2020) - Roslinda Idris, Shahrum Abdullah, Prakash Thamburaja, Mohd Zaidi Omar:
Prediction of Fatigue Crack Growth Rate Based on Entropy Generation. Entropy 22(1): 9 (2020) - Domenic Di Francesco, Marios K. Chryssanthopoulos, Michael Havbro Faber, Ujjwal Bharadwaj:
Consistent and coherent treatment of uncertainties and dependencies in fatigue crack growth calculations using multi-level Bayesian models. Reliab. Eng. Syst. Saf. 204: 107117 (2020) - Roshan Joseph, Victor Giurgiutiu:
Analytical and Experimental Study of Fatigue-Crack-Growth AE Signals in Thin Sheet Metals. Sensors 20(20): 5835 (2020)
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