A resilience assessment framework for slopes considering multiple performance indicators

Abstract The performance assessment of slopes during various disturbances is important to ensure the safe service of slopes. Due to the four characteristics of slope engineering, it is difficult for existing resilience evaluation models to accurately reflect slope performance. To address this proble...

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Main Authors: Shiyuan Ju, Jinqing Jia, Yong Zhao, Xin Xiang, Bingxiong Tu
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-87599-z
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author Shiyuan Ju
Jinqing Jia
Yong Zhao
Xin Xiang
Bingxiong Tu
author_facet Shiyuan Ju
Jinqing Jia
Yong Zhao
Xin Xiang
Bingxiong Tu
author_sort Shiyuan Ju
collection DOAJ
description Abstract The performance assessment of slopes during various disturbances is important to ensure the safe service of slopes. Due to the four characteristics of slope engineering, it is difficult for existing resilience evaluation models to accurately reflect slope performance. To address this problem, a resilience evaluation model applicable to slopes was developed in this study. In this model, a typical slope performance curve is proposed according to the characteristics of slope engineering and the calculation formula of slope resilience metric is derived. In order to facilitate engineering application, this study proposes a slope resilience assessment framework with the evaluation model as the core. In the resilience assessment framework, a multi-indicator system for slope performance was established to cover the slope components, and the CRITIC theory was used to combine the subjective and objective weights for each indicator. Finally, the proposed slope resilience assessment framework was applied to a slope case under the influence of continuous excavation and rainfall. The results show that the proposed resilience assessment framework can more accurately reflect the performance variations of slopes during disturbance and recovery processes than the existing model, and the resilience metric is 23.4% higher than that of the existing model. This study was the first attempt to establish a resilience assessment framework applicable to slopes, which informs subsequent research.
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spelling doaj-art-c0dba56ab4144378972deddf610e255e2025-01-26T12:30:29ZengNature PortfolioScientific Reports2045-23222025-01-0115111610.1038/s41598-025-87599-zA resilience assessment framework for slopes considering multiple performance indicatorsShiyuan Ju0Jinqing Jia1Yong Zhao2Xin Xiang3Bingxiong Tu4School of Civil Engineering, Dalian University of TechnologySchool of Civil Engineering, Dalian University of TechnologySichuan-tibet Railway Co., LtdChina Three Gorges Corporation (China)Fujian Engineering Technology Research Center for Tunnel and Underground Space, Huaqiao UniversityAbstract The performance assessment of slopes during various disturbances is important to ensure the safe service of slopes. Due to the four characteristics of slope engineering, it is difficult for existing resilience evaluation models to accurately reflect slope performance. To address this problem, a resilience evaluation model applicable to slopes was developed in this study. In this model, a typical slope performance curve is proposed according to the characteristics of slope engineering and the calculation formula of slope resilience metric is derived. In order to facilitate engineering application, this study proposes a slope resilience assessment framework with the evaluation model as the core. In the resilience assessment framework, a multi-indicator system for slope performance was established to cover the slope components, and the CRITIC theory was used to combine the subjective and objective weights for each indicator. Finally, the proposed slope resilience assessment framework was applied to a slope case under the influence of continuous excavation and rainfall. The results show that the proposed resilience assessment framework can more accurately reflect the performance variations of slopes during disturbance and recovery processes than the existing model, and the resilience metric is 23.4% higher than that of the existing model. This study was the first attempt to establish a resilience assessment framework applicable to slopes, which informs subsequent research.https://doi.org/10.1038/s41598-025-87599-zSlope engineeringResilience evaluation modelResilience metricComposite performanceCombined weight
spellingShingle Shiyuan Ju
Jinqing Jia
Yong Zhao
Xin Xiang
Bingxiong Tu
A resilience assessment framework for slopes considering multiple performance indicators
Scientific Reports
Slope engineering
Resilience evaluation model
Resilience metric
Composite performance
Combined weight
title A resilience assessment framework for slopes considering multiple performance indicators
title_full A resilience assessment framework for slopes considering multiple performance indicators
title_fullStr A resilience assessment framework for slopes considering multiple performance indicators
title_full_unstemmed A resilience assessment framework for slopes considering multiple performance indicators
title_short A resilience assessment framework for slopes considering multiple performance indicators
title_sort resilience assessment framework for slopes considering multiple performance indicators
topic Slope engineering
Resilience evaluation model
Resilience metric
Composite performance
Combined weight
url https://doi.org/10.1038/s41598-025-87599-z
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