Predicting seismic sustainability for a complex CHESST interaction by AHP using LWST

Foisal Haque
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Abstract

Underground and over-ground structures are affected by the external forces (tsunami, earthquake, storm, etc.) that are directly related to the environment and change in climate. For this reason, a complex climate-human-environment-structure-soil-tunnel (GHESST) interaction model is proposed in this research which is categorized based on the structure types (building, bridge, elevated, road/rail way). The best CHESST interaction model is selected based on the analytic hierarchy process (AHP) by using logical weightage selection technique (LWST). The LWST depends on the proposed modified logical scale. The logical weightage matrices are prepared for the three criteria (environment and climate, social, and economic), three sub-criteria under each criteria, and goal (selection of best CHESST interaction model). The weightage selection technique is validated based on the acceptable rate of decision change sensitivity. The elevated (alternative of the CHESST interaction model) shows the maximum value of seismic sustainability index (SSI) among all alternatives based on the AHP results. Also, the maximum fluctuation rate of strain is found for the elevated structure of the CHESST interaction model from the shake table test results. The most seismic sustainable CHESST interaction model is elevated expressway according to the SSI because of showing highest priority of 0.368. However, there is a scope to enhance this research in future by considering more alternatives, criteria, sub-criteria, etc.
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基于LWST的层次分析法预测复杂CHESST相互作用的地震可持续性
地下和地上结构受到与环境和气候变化直接相关的外力(海啸、地震、风暴等)的影响。基于此,本文提出了一个基于结构类型(建筑、桥梁、高架、公路/铁路)的复杂气候-人-环境-结构-土壤-隧道(GHESST)相互作用模型。基于层次分析法(AHP),利用逻辑权重选择技术(LWST)选择最佳的chess交互模型。LWST取决于建议修改的逻辑标度。为三个标准(环境和气候、社会和经济)、每个标准下的三个子标准和目标(选择最佳chess交互模型)准备了逻辑权重矩阵。基于决策变化敏感性的可接受率对权重选择技术进行了验证。基于AHP结果,CHESST相互作用模型的高架方案在所有方案中具有最大的地震可持续性指数(SSI)。振动台试验结果表明,在CHESST相互作用模型的高架结构中,应变波动率最大。根据SSI,高架高速公路是最具地震可持续性的CHESST相互作用模型,其优先级最高,为0.368。然而,通过考虑更多的替代方案、标准、子标准等,未来还可以加强这项研究。
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