Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings
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DOI: 10.1016/j.ress.2022.109032
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- Bhuyan, Kasturi & Sharma, Hrishikesh, 2024. "Probabilistic capacity models and fragility estimate for NRC and UHSC panels subjected to contact blast," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
- Jiadong, Qiu & Ohl, Joy P. & Tran, Trung-Tin, 2024. "Predicting clay compressibility for foundation design with high reliability and safety: A geotechnical engineering perspective using artificial neural network and five metaheuristic algorithms," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
- Li, Qilin & Wang, Yang & Chen, Wensu & Li, Ling & Hao, Hong, 2024. "Machine learning prediction of BLEVE loading with graph neural networks," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
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Keywords
Reliability model; Mine blasting; Ground vibration; Risk assessment; Optimization; Man-made hazards;All these keywords.
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