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ORIGINAL RESEARCH article

Front. Built Environ.
Sec. Coastal and Offshore Engineering
Volume 11 - 2025 | doi: 10.3389/fbuil.2025.1545900
This article is part of the Research Topic Enhancing Safety of Marine Engineering in Dynamic Ocean Environments and Multi-Hazard Scenarios View all articles

Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters

Provisionally accepted
Long Yu Long Yu Yang Bao Yang Bao Yunrui Han Yunrui Han *Yibin Yan Yibin Yan Bin Xu Bin Xu Zhongtao Wang Zhongtao Wang Rui Pang Rui Pang
  • State Key Laboratory of Coastal and Offshore Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology (DUT), Dalian, China

The final, formatted version of the article will be published soon.

    Determining the failure probabilities of submarine slopes over long distances is crucial for assessing slope stability, given the randomness of soil parameters. Based on the theory of stochastic fields and the method of limit equilibrium, this study introduces a quantitative method that incorporates spatial variability of soil parameters to evaluate submarine slope stability. Assuming a linear increase in undrained strength with depth, the slope stability is estimated under static loading derived from nonstationary random fields, and the effect of a weak layer on the slope stability is also analyzed. This study show that ignores the spatial variability of the soil parameters significantly overestimate the performance for the slope stability. In conclusion, the lower and upper ends of the probability index range are found to have great significance in practical engineering design. The combination of traditional deterministic slope analysis and probabilistic assessments will be beneficial to slope engineering practice and will improve the decision-making process.

    Keywords: Submarine slopes, spatial variability, random field, Scale of fluctuation, Reliability index

    Received: 16 Dec 2024; Accepted: 14 Jan 2025.

    Copyright: © 2025 Yu, Bao, Han, Yan, Xu, Wang and Pang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yunrui Han, State Key Laboratory of Coastal and Offshore Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology (DUT), Dalian, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.