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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/100047


    Title: Robust geotechnical design of shield-driven tunnels
    Authors: 莊長賢;Gong, Wenping;Wang, Lei;Juang, C. Hsein;Zhang, Jie;Huang, Hongwei
    Contributors: 工學院土木工程學系
    Keywords: Cost;Design engineering;Fuzzy;Fuzzy logic;Fuzzy set theory;Fuzzy sets;Geotechnics;Robustness;Safety;Shield-driven tunnel;Tunnels (transportation);Uncertainty
    Date: 2014-03-01
    Issue Date: 2026-04-21 13:46:56 (UTC+8)
    Publisher: Elsevier BV;Elsevier Ltd
    Abstract: 摘要: This paper presents a fuzzy set-based robust geotechnical design (RGD) methodology for the design of shield-driven tunnels. Here, uncertain geotechnical parameters required for analysis of tunnel performance (referred to herein as the structure safety and serviceability performance of tunnel cross section) are represented as fuzzy sets. Given fuzzy input parameters, the performance of a shield-driven tunnel will be uncertain, which is expressed in this study as a fuzzy factor of safety, according to the analysis of vertex method. Then, the fuzzy factor of safety for a given design is used to evaluate the failure probability and design robustness, which are, in turn, employed in the proposed RGD framework. Note that a design is considered robust if the performance of the shield-driven tunnel is insensitive to the variation of its uncertain geotechnical parameters. Within the RGD framework, each candidate design in the design space is analyzed for its safety state (in terms of failure probability), design robustness, and cost. The goal of the RGD of a shield-driven tunnel is to bring the safety state to an acceptable level, while maximizing the robustness and cost efficiency simultaneously. To this end, a multi-objective optimization is performed and a Pareto front is obtained, which provides a trade-off that may be used to select the most preferred design. Through an illustrative case, the effectiveness and significance of this new robust design methodology is demonstrated.
    出版者: Elsevier Ltd
    出版日期: 2014-03
    出處: Computers and geotechnics, 2014-03, Vol.56, p.191-201
    資源來源: ScienceDirect (Elsevier) Journals
    版權: 2013 Elsevier Ltd
    識別號: ISSN: 0266-352X
    識別號: EISSN: 1873-7633
    識別號: DOI: 10.1016/j.compgeo.2013.12.006
    Appears in Collections:[Department of Civil Engineering] journal & Dissertation

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