鋼筋混凝土剪力牆機率式地震風險評估架構之開發與應用

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Title:	鋼筋混凝土剪力牆機率式地震風險評估架構之開發與應用
Authors:	邱郁佐;chiu, yu-tso
Contributors:	土木工程學系
Keywords:	OpenSees;增量動力分析;RC剪力牆;遲滯迴圈;OpenSees;Probabilistic Assessment Method;Incremental Dynamics Analysis;RC Shear Wall;Hysteresis Loops
Date:	2024-08-20
Issue Date:	2024-10-09 14:52:26 (UTC+8)
Publisher:	國立中央大學
Abstract:	本研究主要探討鋼筋混凝土剪力牆在地震作用下的性能，目的在建立一個自動化工具來進行剪力牆的非線性動力分析和地震風險評估。研究首先利用多篇文獻中的試體數據建立了一個全面的試體資料庫，涵蓋了各種不同材料特性和幾何參數的鋼筋混凝土構件。隨後，採用OpenSees軟體進行剪力牆模型的建立與驗證，確保模型能夠準確模擬實際結構在地震作用下的動力行為。透過機率式地震風險評估方法，本研究對不同地震歷時下剪力牆的耐震性能進行了詳細分析。利用這些數據，建立了相應的易損曲線，這些曲線能夠反映出不同強度地震作用下結構的損壞概率。研究結果顯示，自動化工具能夠快速、準確地評估建築物的地震風險。此外，本研究還探討了不同地震特性對鋼筋混凝土剪力牆性能的影響，如近場地震和遠場地震的不同影響。研究結果表明，自動化工具在這些不同情境下均能提供可靠的評估結果。此工具不僅能夠減少人工計算的時間和誤差，還能提高地震風險評估的效率和精確性。總結而言，本研究為台灣地區鋼筋混凝土建築物的耐震評估提供了科學依據，並展示了自動化工具在地震風險評估中的應用潛力。這些成果將有助於相關部門在地震防災和減災工作中做出更為科學和有效的決策，提升建築物的耐震性能和安全性。 ;This study investigates the performance of reinforced concrete RC shear walls under seismic excitations, aiming to establish an automated tool for nonlinear dynamic analysis and seismic risk assessment. A comprehensive specimen database was constructed using data from various studies, encompassing diverse material properties and geometric parameters of RC components. The OpenSees software was utilized to build and validate shear wall models, ensuring accurate simulation of dynamic behavior under seismic loading. Using a probabilistic seismic risk assessment method, this research provides detailed analysis of buildings′ seismic performance under different earthquake scenarios. Fragility curves were developed to reflect the damage probability under varying seismic intensities. The results indicate that the automated tool can swiftly and accurately evaluate seismic risk, providing damage predictions and repair recommendations. This study also examines the impact of different seismic characteristics on the performance of RC shear walls. The findings demonstrate the tool′s reliability across various scenarios, reducing time and errors associated with manual calculations while enhancing assessment efficiency and accuracy. In conclusion, this research offers a scientific basis for the seismic evaluation of RC buildings in Taiwan and showcases the potential application of the automated tool in seismic risk assessment. These outcomes will assist relevant departments in making more informed and effective decisions in earthquake disaster prevention and mitigation.
Appears in Collections:	[Graduate Institute of Civil Engineering] Electronic Thesis & Dissertation

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