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公路隧道结构安全状态评估方法

Safety state evaluation method of the highway tunnel structure.

作者信息

Liu Hailin

机构信息

Guangxi Road Construction Engineering Group Co.,ltd, Nanning, 530001, China.

出版信息

Heliyon. 2023 Jun 23;9(6):e17537. doi: 10.1016/j.heliyon.2023.e17537. eCollection 2023 Jun.

DOI:10.1016/j.heliyon.2023.e17537
PMID:37416655
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10320256/
Abstract

This study proposes an evaluation method for the structural safety of expressway tunnels utilizing possibility and prospect theories to address the influence of multiple indicators on the structural safety of expressway tunnels and the imprecision of human-bounded rationality in assessing results. It constructs the probability distribution of safety level by determining the safety level of the highway tunnel structure. The reference distribution function of each monitoring index is then derived using the expected value of experts. Based on the possibility theory, the possibility distribution of the monitoring results of indicators is obtained, and the mapping relationship between the monitoring indicators and the possibility distribution function of safety status grade is developed. Finally, the prospect theory evaluates the highway tunnel structure's safety status. This method is applied to assess the structural safety of a highway tunnel, which verifies its effectiveness and practicability, and provides a new method for evaluating the structural safety of a highway tunnel.

摘要

本研究提出了一种利用可能性和前景理论评估高速公路隧道结构安全的方法,以解决多指标对高速公路隧道结构安全的影响以及人类有限理性在评估结果中的不精确性问题。通过确定公路隧道结构的安全等级来构建安全水平的概率分布。然后利用专家的期望值推导各监测指标的参考分布函数。基于可能性理论,得到指标监测结果的可能性分布,建立监测指标与安全状态等级可能性分布函数之间的映射关系。最后,运用前景理论评估公路隧道结构的安全状态。该方法应用于某公路隧道结构安全评估,验证了其有效性和实用性,为公路隧道结构安全评估提供了一种新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c95b/10320256/b5583582b97c/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c95b/10320256/cff76151f98a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c95b/10320256/e883cb34dc5f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c95b/10320256/c2aa2c4f56cf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c95b/10320256/51fed1e827a0/gr4a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c95b/10320256/b5583582b97c/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c95b/10320256/cff76151f98a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c95b/10320256/e883cb34dc5f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c95b/10320256/c2aa2c4f56cf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c95b/10320256/51fed1e827a0/gr4a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c95b/10320256/b5583582b97c/gr5.jpg

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