Efficient time-dependent fatigue reliability assessment accounting for material variability in steel structures
Author
Abstract
Suggested Citation
DOI: 10.1016/j.ress.2025.111536
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Wang, Run-Zi & Gu, Hang-Hang & Liu, Yu & Miura, Hideo & Zhang, Xian-Cheng & Tu, Shan-Tung, 2023. "Surrogate-modeling-assisted creep-fatigue reliability assessment in a low-pressure turbine disc considering multi-source uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
- Ren, Chao & Xing, Yihan, 2023. "AK-MDAmax: Maximum fatigue damage assessment of wind turbine towers considering multi-location with an active learning approach," Renewable Energy, Elsevier, vol. 215(C).
- Wang, Shuaishuai & Moan, Torgeir & Jiang, Zhiyu, 2022. "Influence of variability and uncertainty of wind and waves on fatigue damage of a floating wind turbine drivetrain," Renewable Energy, Elsevier, vol. 181(C), pages 870-897.
- Jiang, Shan & Jia, Xujie, 2024. "Reliability assessment under continuous fatigue degradation and shock based on Markov renewal process," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
- Gao, Hai-Feng & Wang, Yu-Hang & Li, Yang & Zio, Enrico, 2024. "Distributed-collaborative surrogate modeling approach for creep-fatigue reliability assessment of turbine blades considering multi-source uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
- Slot, René M.M. & Sørensen, John D. & Sudret, Bruno & Svenningsen, Lasse & Thøgersen, Morten L., 2020. "Surrogate model uncertainty in wind turbine reliability assessment," Renewable Energy, Elsevier, vol. 151(C), pages 1150-1162.
- Zhu, Chun-Yan & Li, Zhen-Ao & Dong, Xiao-Wei & Wang, Ming & Li, Qing-Da, 2024. "Collaborative modeling-based improved moving Kriging approach for low-cycle fatigue life reliability estimation of mechanical structures," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
- Mohsen Sobhaniasl & Francesco Petrini & Madjid Karimirad & Franco Bontempi, 2020. "Fatigue Life Assessment for Power Cables in Floating Offshore Wind Turbines," Energies, MDPI, vol. 13(12), pages 1-19, June.
- Bai, Song & Huang, Tudi & Li, Yan-Feng & Lu, Ning & Huang, Hong-Zhong, 2023. "A probabilistic fatigue life prediction method under random combined high and low cycle fatigue load history," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
- Shields, Michael D. & Zhang, Jiaxin, 2016. "The generalization of Latin hypercube sampling," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 96-108.
- Liu, Ding Peng & Ferri, Giulio & Heo, Taemin & Marino, Enzo & Manuel, Lance, 2024. "On long-term fatigue damage estimation for a floating offshore wind turbine using a surrogate model," Renewable Energy, Elsevier, vol. 225(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Li, Butong & Zhu, Junjie & Wang, Lubing & Zhao, Xufeng, 2026. "Dynamic predictive maintenance strategy for fatigue damage based on a hybrid predictive framework," Reliability Engineering and System Safety, Elsevier, vol. 269(C).
- Gao, Hai-Feng & Wang, Yu-Hang & Li, Yang & Zio, Enrico, 2024. "Distributed-collaborative surrogate modeling approach for creep-fatigue reliability assessment of turbine blades considering multi-source uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
- Wang, Jinsheng & Chen, Chao & Duffour, Philippe & Fromme, Paul, 2026. "Adaptive ensemble of surrogates for efficient fatigue reliability analysis of offshore wind turbines," Renewable Energy, Elsevier, vol. 256(PH).
- Gu, Hang-Hang & Wang, Run-Zi & Zhang, Kun & Li, Kai-Shang & Sun, Li & Zhang, Xian-Cheng & Tu, Shan-Tung, 2025. "Damage-driven framework for reliability assessment of steam turbine rotors operating under flexible conditions," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
- Zhongbo Hu & Liangxian Li & Xiang Gao & Jianfeng Xu & Xinyi Liu & Sen Gong & Wenhua Wang & Wei Shi & Xin Li, 2025. "A Fully Coupled Sensitivity Analysis Framework for Offshore Wind Turbines Based on an XGBoost Surrogate Model and the Interpretation of SHAP," Sustainability, MDPI, vol. 17(20), pages 1-20, October.
- Yao, Zhenghong & Hao, Jin & Tan, Zhi & Li, Changyou & Zhao, Jinsong, 2025. "Ratcheting fatigue reliability and sensitivity analysis of hydraulic pipe under in-service loadings," Reliability Engineering and System Safety, Elsevier, vol. 264(PA).
- Zhang, Xiaodong & Wu, Dengyu & Deng, Zhenhong & Wang, Siqi & Feng, Wujun & Luo, Huageng & Zhang, Baoqiang, 2025. "High-cycle fatigue life prediction for fan blades considering aleatory and epistemic uncertainty with random damage," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
- Li, Zhen-Ao & Li, Qing-Long & Liang, Jia-Hao & Dong, Xiao-Wei & Zhu, Chun-Yan & Wang, Ming, 2025. "Stacking ensemble surrogate modeling method based on decomposed- coordinated strategy for structural low-cycle fatigue life reliability estimation," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
- Zhang, Ruixing & An, Liqiang & He, Lun & Yang, Xinmeng & Huang, Zenghao, 2024. "Reliability analysis and inverse optimization method for floating wind turbines driven by dual meta-models combining transient-steady responses," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
- Chen, Jian-Peng & Zhao, Bing-Feng & Zhang, Kun & Xie, Li-Yang & Zhang, Xian-Cheng & Wang, Run-Zi & Sun, Wei-Qiao, 2025. "System-level damage-threshold interference model for system reliability evaluation," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
- Zhao, Yan-Gang & Liu, Ya-Ting & Li, Pei-Pei & Weng, Ye-Yao & Valdebenito, Marcos A. & Faes, Matthias G.R., 2025. "A Bayesian piecewise fitting method for estimating probability distributions of performance functions," Reliability Engineering and System Safety, Elsevier, vol. 263(C).
- Zhao, Heng & Fu, Chao & Zhang, Yaqiong & Wan, Zhiqiang & Lu, Kuan, 2025. "A non-probabilistic reliability-based design optimization method via dimensional decomposition-aided Chebyshev metamodel," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
- Zhao, Zeming & Li, Hangxin & Wang, Shengwei, 2026. "Coordinated robust optimization of building and surrounding microclimate in early-stage design under uncertainty," Energy, Elsevier, vol. 347(C).
- Himakar Ganti & Manu Kamin & Prashant Khare, 2020. "Design Space Exploration of Turbulent Multiphase Flows Using Machine Learning-Based Surrogate Model," Energies, MDPI, vol. 13(17), pages 1-23, September.
- Wang, Tianzhe & Chen, Zequan & Li, Guofa & He, Jialong & Liu, Chao & Du, Xuejiao, 2024. "A novel method for high-dimensional reliability analysis based on activity score and adaptive Kriging," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
- He, Yu & Ma, Yafei & Huang, Ke & Wang, Lei & Zhang, Jianren, 2024. "Digital twin Bayesian entropy framework for corrosion fatigue life prediction and calibration of bridge suspender," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
- Deyin, Jiang & Zhixuan, Gao & Keke, Wang & Senke, Jiang & Weimin, Cui & Song, Bifeng, 2025. "A reliability analysis method for evaluating performance degradation considering the coupling of multiple progressive damage factors and multiple stochastic factors," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
- Campari, Alessandro & Ustolin, Federico & Alvaro, Antonio & Paltrinieri, Nicola, 2024. "Inspection of hydrogen transport equipment: A data-driven approach to predict fatigue degradation," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
- Li, Wei & Wang, Shuaishuai & Moan, Torgeir & Gao, Zhen & Gao, Shan, 2024. "Global design methodology for semi-submersible hulls of floating wind turbines," Renewable Energy, Elsevier, vol. 225(C).
- Baisthakur, Shubham & Fitzgerald, Breiffni, 2024. "Physics-Informed Neural Network surrogate model for bypassing Blade Element Momentum theory in wind turbine aerodynamic load estimation," Renewable Energy, Elsevier, vol. 224(C).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:265:y:2026:i:pb:s0951832025007367. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/eee/reensy/v265y2026ipbs0951832025007367.html