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Probabilistic Seismic Resilience Evaluation of Smart Steel Frame
This study investigates the resilience of smart steel moment-resisting frames (MRFs) equipped with nickel-titanium shape memory alloy connections (NiTi SMAs) under seismic loading conditions. It builds upon previous research on blast loading resilience to explore the response of these smart moment resisting frames to seismic forces. The study assesses structures of various storey heights (4, 7, 10, and 15 storeys) to understand their resilience. Fragility analysis, using a coefficient-based method, is employed to evaluate the likelihood of structural failure due to seismic loading. Subsequently, the peak ground acceleration (PGA) is normalized to various excitation levels to ensure consistency in the analysis. Incremental dynamic analysis (IDA) is then conducted to capture the dynamic response of the structures. Fragility curves are constructed based on the obtained data, providing insights into potential weaknesses or vulnerabilities within systems. Finally, the seismic resilience index is derived, providing a comprehensive measure of the structures' ability to withstand seismic events. Findings reveal variations in resilience among different smart MRFs, with taller structures exhibiting increased sensitivity. Integration of smart NiTi SMA connections enhances structural resilience, suggesting potential for improved performance during seismic events. Additionally, the study emphasizes the impact of non-structural damages on overall damage, highlighting the importance of comprehensive mitigation strategies.
Probabilistic Seismic Resilience Evaluation of Smart Steel Frame
This study investigates the resilience of smart steel moment-resisting frames (MRFs) equipped with nickel-titanium shape memory alloy connections (NiTi SMAs) under seismic loading conditions. It builds upon previous research on blast loading resilience to explore the response of these smart moment resisting frames to seismic forces. The study assesses structures of various storey heights (4, 7, 10, and 15 storeys) to understand their resilience. Fragility analysis, using a coefficient-based method, is employed to evaluate the likelihood of structural failure due to seismic loading. Subsequently, the peak ground acceleration (PGA) is normalized to various excitation levels to ensure consistency in the analysis. Incremental dynamic analysis (IDA) is then conducted to capture the dynamic response of the structures. Fragility curves are constructed based on the obtained data, providing insights into potential weaknesses or vulnerabilities within systems. Finally, the seismic resilience index is derived, providing a comprehensive measure of the structures' ability to withstand seismic events. Findings reveal variations in resilience among different smart MRFs, with taller structures exhibiting increased sensitivity. Integration of smart NiTi SMA connections enhances structural resilience, suggesting potential for improved performance during seismic events. Additionally, the study emphasizes the impact of non-structural damages on overall damage, highlighting the importance of comprehensive mitigation strategies.
Probabilistic Seismic Resilience Evaluation of Smart Steel Frame
Lecture Notes in Civil Engineering
Mazzolani, Federico M. (Herausgeber:in) / Piluso, Vincenzo (Herausgeber:in) / Nastri, Elide (Herausgeber:in) / Formisano, Antonio (Herausgeber:in) / Elqudah, Sara Muhammad (Autor:in) / Gergely, Vigh László (Autor:in) / Weli, Sardasht S. (Autor:in)
International Conference on the Behaviour of Steel Structures in Seismic Areas ; 2024 ; Salerno, Italy
03.07.2024
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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