2024
DOI: 10.1016/j.tust.2024.105702
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Quantifying tunneling risks ahead of TBM using Bayesian inference on continuous seismic data

Gang Fang,
Enhedelihai Alex Nilot,
Yunyue Elita Li
et al.
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Cited by 4 publications
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“…Bayesian methods have gained significant attention in geotechnical engineering. They been employed to assess the probability of slope failure [23][24][25][26][27] and to predict tunnel Geotechnics 2024, 4 383 deformation [28][29][30][31][32], excavation movements [33][34][35][36][37], pipe-jacking forces [38], and pile driveability [39]. The advantages of Bayesian methods in geotechnical engineering include the ability to integrate multiple sources of information, such as expert opinions, field data, and laboratory tests, to reduce uncertainties and improve decision-making.…”
Section: Introductionmentioning
confidence: 99%
“…Bayesian methods have gained significant attention in geotechnical engineering. They been employed to assess the probability of slope failure [23][24][25][26][27] and to predict tunnel Geotechnics 2024, 4 383 deformation [28][29][30][31][32], excavation movements [33][34][35][36][37], pipe-jacking forces [38], and pile driveability [39]. The advantages of Bayesian methods in geotechnical engineering include the ability to integrate multiple sources of information, such as expert opinions, field data, and laboratory tests, to reduce uncertainties and improve decision-making.…”
Section: Introductionmentioning
confidence: 99%