A reliability analysis framework coupled with statistical uncertainty characterization for geotechnical engineering

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

  • Yu Wang

Detail(s)

Original languageEnglish
Article number101913
Journal / PublicationGeoscience Frontiers
Volume15
Issue number6
Online published22 Aug 2024
Publication statusPublished - Nov 2024

Link(s)

Abstract

Reliability analysis plays an important role in the risk management of geotechnical engineering. For the random field-based method, it is expected that the uncertainty characterization of geo-material parameters and the realization of random field can be integrated effectively. Moreover, as the increase in measured data size is generally difficult in the field investigation of geotechnical engineering due to limitation of budget and time etc., the statistical uncertainty resulting from sparse data should be paid great attention. Therefore, taking the determination of hyper-parameters for Bayesian-based conditional random field as the breakthrough, this study proposed a reliability analysis framework to achieve the expectation above. In this proposed reliability analysis framework, the present characterization method of statistical uncertainty is improved by setting the lognormal distribution as the prior distribution of scale of fluctuation (SOF). Subsequently, the performance of statistical uncertainty characterization method is tested by a set of unconfined compressive strength (UCS) database about rocks. Then, a case study about the stability analysis of slope is employed to demonstrate the beneficial effect of the proposed reliability analysis framework. It is found that the uncertainty in both the realization of random field and the reliability analysis results can be significantly mitigated by the proposed reliability analysis framework. © 2024 China University of Geosciences (Beijing) and Peking University.

Research Area(s)

  • Bayesian inference, Conditional random field, Geotechnical engineering, Reliability analysis, Statistical uncertainty

Citation Format(s)

A reliability analysis framework coupled with statistical uncertainty characterization for geotechnical engineering. / Han, Liang; Zhang, Wengang; Wang, Lin et al.
In: Geoscience Frontiers, Vol. 15, No. 6, 101913, 11.2024.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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