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An adaptation resilience assessment framework for key components of prefabricated underground stations
Graphical abstract Display Omitted
Highlights PUS key component vulnerability function is proposed for analyzing morphology. A proposed design alleviates brittle damage of PUS large-span structure. Threshold-compliant schemes show strong adaptability to local restorability. Dynamic assessment is an efficient technique to obtain PUS adaptive schemes. The final PUS adaptive scheme prefers a light-asset strategy.
Abstract Prefabricated underground stations (PUS) have become an important aspect of resilient cities. Adaptability to local emergency restoration is a critical target for PUS to achieve resilience after disasters. For this purpose, this study constructed a PUS adaptation resilience assessment framework (PUS-ARAF) with three modules: (1) A PUS key component vulnerability function was proposed to analyze its morphology. (2) A ‘Resilience performance - recovery Time - restoration Cost’ assessment process was established to analyze local emergency restoration. (3) A dynamic assessment was proposed to quickly obtain PUS adaptive schemes for key components. A case study was performed based on the Shenzhen PUS and the results indicated that (1) the Joint-region-weak-link scheme alleviated brittle damage on PUS large-span structures and achieved 0.97 bearing and 0.96 energy absorption capacities of continuous-section beam, (2) local emergency restorability exhibits conditional function characteristics with local factors. Threshold-compliant schemes demonstrate easy adaptation to local restorability at minimal cost. (3) PUS-ARAF developed local adaptive schemes with minimum restoration time and cost, and (4) the final PUS adaptive scheme preferred a light-asset strategy and was applied to the Shenzhen PUS. The PUS-ARAF provides adaptive schemes and local-adaptive life-cycle resilience strategies for PUSs.
An adaptation resilience assessment framework for key components of prefabricated underground stations
Graphical abstract Display Omitted
Highlights PUS key component vulnerability function is proposed for analyzing morphology. A proposed design alleviates brittle damage of PUS large-span structure. Threshold-compliant schemes show strong adaptability to local restorability. Dynamic assessment is an efficient technique to obtain PUS adaptive schemes. The final PUS adaptive scheme prefers a light-asset strategy.
Abstract Prefabricated underground stations (PUS) have become an important aspect of resilient cities. Adaptability to local emergency restoration is a critical target for PUS to achieve resilience after disasters. For this purpose, this study constructed a PUS adaptation resilience assessment framework (PUS-ARAF) with three modules: (1) A PUS key component vulnerability function was proposed to analyze its morphology. (2) A ‘Resilience performance - recovery Time - restoration Cost’ assessment process was established to analyze local emergency restoration. (3) A dynamic assessment was proposed to quickly obtain PUS adaptive schemes for key components. A case study was performed based on the Shenzhen PUS and the results indicated that (1) the Joint-region-weak-link scheme alleviated brittle damage on PUS large-span structures and achieved 0.97 bearing and 0.96 energy absorption capacities of continuous-section beam, (2) local emergency restorability exhibits conditional function characteristics with local factors. Threshold-compliant schemes demonstrate easy adaptation to local restorability at minimal cost. (3) PUS-ARAF developed local adaptive schemes with minimum restoration time and cost, and (4) the final PUS adaptive scheme preferred a light-asset strategy and was applied to the Shenzhen PUS. The PUS-ARAF provides adaptive schemes and local-adaptive life-cycle resilience strategies for PUSs.
An adaptation resilience assessment framework for key components of prefabricated underground stations
Qiu, Tong (Autor:in) / Chen, Xiangsheng (Autor:in) / Chen, Kunyang (Autor:in) / Su, Dong (Autor:in) / Shen, Jun (Autor:in) / Wang, Lei (Autor:in) / Zheng, Zhenji (Autor:in)
03.02.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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