Bayesian optimization CNN-LSTM neural network for fatigue life prediction of Rib-to-deck Welds in orthotropic steel decks
Hunan University of Technology · Changsha University of Science and Technology
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Abstract
No abstract available for this paper.
Citation impact
8
total citations
- FWCI
- 74.07
- Percentile
- 100%
- References
- 41
Too recent for citation history.
Authors
7Topics & keywords
Topics
Keywords
- Paris' law
- Orthotropic material
- Robustness (evolution)
- Welding
- Convolutional neural network
- Artificial neural network
- Benchmark (surveying)
- Growth model
UN Sustainable Development Goals
- Responsible consumption and production
No related works found for this paper.
Funding
- NNNational Natural Science Foundation of ChinaAwards: 52408175, 52478453
- NSNatural Science Foundation of Hunan ProvinceAwards: 2024JJ6208, 2024JJ7131, 2023JJ50180
- CUChangsha University of Science and TechnologyAward: 25KG03
- SRScientific Research Foundation of Hunan Provincial Education DepartmentAwards: 24A0411, 22A0435, 24B0534, 23B0575