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Seismic resilience assessment method for tunnels based on cloud model considering multiple damage evaluation indices
Tunnelling and Underground Space Technology ( IF 6.7 ) Pub Date : 2025-01-10 , DOI: 10.1016/j.tust.2024.106360
Jun Shen, Xiaohua Bao, Xiangsheng Chen, Xianlong Wu, Tong Qiu, Hongzhi Cui
Tunnelling and Underground Space Technology ( IF 6.7 ) Pub Date : 2025-01-10 , DOI: 10.1016/j.tust.2024.106360
Jun Shen, Xiaohua Bao, Xiangsheng Chen, Xianlong Wu, Tong Qiu, Hongzhi Cui
The subterranean environment of tunnels poses considerable uncertainty as tunnel structures are ensconced in soil, unlike their above-ground counterparts. This significantly complicates tunnel risk assessment during earthquakes. This study introduces a novel method that integrates multiple damage indices to evaluate the seismic resilience of tunnels. Initially, seismic attenuation is introduced to calculate earthquake exceedance probabilities for various tunnel damage indicators, employing finite element methods (FEM). A robustness evaluation criterion scale value is established based on the amalgamation of multiple tunnel damage indices. Standard Cloud Models are then generated utilising the robustness evaluation criteria. Subsequently, the independent and correlated weights of the robustness evaluation indices are determined using the CRITIC-G1 and decision-making trial and evaluation laboratory (DEMATEL) methods, respectively. A game theory (GT) method is then utilised to amalgamate and allocate weights to these robustness evaluation indices. The evaluation Cloud Models are subsequently generated using a backward cloud generator, based on the division of damage grades for the evaluation criteria and combination weights. Finally, the robustness grade is determined by comparing the similarities between the standard and evaluation Cloud Models. The repair time of the tunnel is quantified using a repair function based on robustness grades. The efficacy of the seismic resilience assessment method is discussed based on three hypothetical cases, providing valuable guidance for assessing the seismic resilience of underground structures.
中文翻译:
考虑多种损伤评价指标的基于云模型的隧道抗震韧性评估方法
与地上隧道不同,隧道的地下环境具有相当大的不确定性,因为隧道结构被包裹在土壤中。这使得地震期间的隧道风险评估变得非常复杂。本研究引入了一种整合多个损伤指标来评估隧道抗震能力的新方法。最初,引入地震衰减来计算各种隧道损伤指标的地震超标概率,采用有限元方法 (FEM)。在合并多个隧道损伤指标的基础上,建立了稳健性评价标准量表值。然后,使用稳健性评估标准生成标准云模型。随后,分别使用 CRITIC-G1 和决策试验和评估实验室 (DEMATEL) 方法确定稳健性评价指标的独立权重和相关权重。然后使用博弈论 (GT) 方法合并并为这些稳健性评估指标分配权重。随后,根据评估标准和组合权重的损伤等级划分,使用后向云生成器生成评估云模型。最后,通过比较标准云模型和评估云模型之间的相似性来确定稳健性等级。隧道的修复时间使用基于稳健性等级的修复函数进行量化。本文结合 3 个假设案例讨论了地震韧性评估方法的有效性,为评估地下结构的地震韧性提供了有价值的指导。
更新日期:2025-01-10
中文翻译:
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考虑多种损伤评价指标的基于云模型的隧道抗震韧性评估方法
与地上隧道不同,隧道的地下环境具有相当大的不确定性,因为隧道结构被包裹在土壤中。这使得地震期间的隧道风险评估变得非常复杂。本研究引入了一种整合多个损伤指标来评估隧道抗震能力的新方法。最初,引入地震衰减来计算各种隧道损伤指标的地震超标概率,采用有限元方法 (FEM)。在合并多个隧道损伤指标的基础上,建立了稳健性评价标准量表值。然后,使用稳健性评估标准生成标准云模型。随后,分别使用 CRITIC-G1 和决策试验和评估实验室 (DEMATEL) 方法确定稳健性评价指标的独立权重和相关权重。然后使用博弈论 (GT) 方法合并并为这些稳健性评估指标分配权重。随后,根据评估标准和组合权重的损伤等级划分,使用后向云生成器生成评估云模型。最后,通过比较标准云模型和评估云模型之间的相似性来确定稳健性等级。隧道的修复时间使用基于稳健性等级的修复函数进行量化。本文结合 3 个假设案例讨论了地震韧性评估方法的有效性,为评估地下结构的地震韧性提供了有价值的指导。