以非線性歷時分析評估耐震性能之鋼筋混凝土建築案例研究

Abstract

隨著地震工程領域的不斷進步，耐震性能評估從簡化的線性方法逐步發展到能夠模擬結構在地震載荷下複雜行為的非線性方法。其中，非線性歷時分析（Nonlinear Response History Analysis）在模擬結構的非彈性變形和破壞機制等方面發揮了關鍵作用，能夠更真實地反映結構在地震作用下的行為。然而，其應用仍面臨多方面的挑戰，包括地震動記錄的選擇與調幅、分析過程的高計算需求以及專業技術門檻。 本研究聚焦於高地震活動區域——台灣，探討如何有效應用Nonlinear Response History Analysis來提升建築物的耐震性能評估能力。我們利用創新的地震動選擇工具「臺灣工址輸入地震查選平台（Input Motion Selection for Taiwan, INMOST）」並結合最新的規範要求，如《附篇 A—使用非線性反應歷時分析進行設計驗證》。此外，本研究參考國際標準（如ASCE 7-22、TBI和LATBSDC指南），以提升台灣耐震性能評估的效率與準確性，展示了本地化方法如何在精準性與實用性之間取得平衡，並推動耐震設計的進一步發展。 研究的核心之一是地震動調幅方法的整合，確保輸入地震動與目標設計反應譜相匹配。調幅方法通過在保持地震動頻譜特性和持續時間的基礎上調整地震動的強度，使其能更準確地反映場地的地震危險性特徵，從而提高分析結果的準確性並減少變異性（Baker and Cornell, 2006）。本研究利用INMOST平台進行地震動選擇和調幅處理，確保其反映本地場地特性並符合目標反應譜要求。結合精細的數值建模和先進的計算技術，研究建立了一套適用於監管及實務領域的全面框架，推動Nonlinear Response History Analysis的有效應用，提升高地震風險地區（如台灣）的結構韌性。

Seismic performance evaluation has undergone significant advancements, evolving from simplified linear methods to sophisticated nonlinear approaches capable of complex structural behaviors under earthquake loads. Nonlinear Response History Analysis now plays a pivotal role in understanding structural behavior under realistic seismic conditions, accurately simulating phenomena like inelastic deformation and failure mechanisms. However, its application remains challenging due to the complexity of selecting and scaling ground motion records, the high computational demand, and the level of expertise required. Addressing these challenges, this study focuses on Nonlinear Response History Analysis implementation in Taiwan, a region characterized by high seismic activity. By using innovative tools such as the Input Motion Selection for Taiwan (INMOST) platform and integrating updated regulatory frameworks like “Appendix A — Design Verification Using Nonlinear Response Time Analysis,” this research aligns with international standards like ASCE 7-22, TBI, and LATBSDC guidelines to improve the efficiency and reliability of seismic evaluations. These advancements reflect Taiwan’s commitment to advancing seismic design through localized methods that balance precision and practicality. A key component of this research is integrating amplitude scaling methods for ground motion selection, ensuring input motions align with the target design spectrum. Amplitude scaling involves modifying the intensity of selected ground motions while preserving their frequent content and duration, making them more representative of the seismic hazard at the site. This process enhances the compatibility of input motions with specific design criteria, reducing variability in analysis result an improving the accuracy of seismic performance predictions (Baker and Cornell, 2006). This study utilizes tools such as the Input Motion Selection for Taiwan (INMOST) platform to enhance ground motion selection and amplitude scaling, ensuring that they reflect local site characteristics and align with the target response spectrum. By integrating these refined inputs with precise numerical modeling and advanced computational methods, the research establishes a comprehensive framework for applying Nonlinear Response History Analysis effectively in both regulatory and practical contexts. This approach contributes to improving the resilience of structures in regions with significant seismic risk, such as Taiwan.