臺灣位處環太平洋地震帶，地震活動頻繁，歷次強震皆造成大量鋼筋混凝土(RC)建築損壞與倒塌。從震災調查中發現許多RC建築採構架搭配填充磚牆形式，雖然填充磚牆通常被視為非結構構件，但其對構架之側向勁度、振動週期及耐震行為具有顯著影響，若於耐震分析中忽略其貢獻，將可能造成結構受震反應及損傷評估之偏差。此外，地震動具有高度隨機性與不確定性，傳統以非線性靜力分析進行之耐震評估，難以反映結構於不同地震事件下之動態反應不確定性。因此，本研究採用機率式地震風險評估方法，量化填充磚牆對 RC 構架耐震性能及損傷機率之影響。 本研究以 OpenSees 為分析平台，結合 Python 建立三維 RC 構架含填充磚牆之自動化建模流程，並採用等效斜撐模型模擬填充磚牆之非線性行為。建立完成之數值模型透過振動台試驗結果進行驗證，比較自然振動週期、層間位移、基底剪力及遲滯迴圈等動態反應，結果顯示所建立之模型能合理模擬 RC 構架含填充磚牆之受震行為，作為機率式地震風險評估之分析基礎。 完成模型驗證後，本研究選用臺灣地震歷時資料進行增量動力分析，建立機率地震需求模型，並建構易損性曲線，評估結構於不同地震強度下發生各損傷狀態之機率。分析結果顯示，含填充磚牆構架之易損性曲線相較純構架明顯向高地震強度方向偏移，各損傷狀態之中位地震強度均有所提升，表示結構需承受較高之地震強度方會達到相同損傷程度。此外，填充磚牆確實提升 RC 構架之側向勁度，並降低層間位移需求及結構發生損傷與倒塌之機率。 本研究建立 RC 構架含填充磚牆之機率式地震風險評估流程，可有效量化填充磚牆對結構耐震性能及地震風險之影響，研究成果可提供既有 RC 建築耐震評估、耐震補強及性能化耐震設計之參考。 關鍵字：鋼筋混凝土構架、填充磚牆、自動化建模、機率式地震風險評估;Taiwan is located along the Circum-Pacific seismic belt and is frequently affected by strong earthquakes， which have caused severe damage and collapse of reinforced concrete (RC) buildings. Many older RC buildings consist of frame systems with masonry infill walls. Although infill walls are commonly treated as nonstructural components， they can significantly affect the lateral stiffness， vibration period， and seismic response of structures. Neglecting their contribution may lead to inaccurate estimations of seismic response， damage probability， and collapse risk. Therefore， this study develops an automated three-dimensional modeling procedure for RC frames with masonry infill walls using OpenSees and Python. Beam and column members are modeled using fiber-based elements， while infill walls are simulated by an equivalent diagonal strut model combined with the Pinching4 material to capture hysteretic and degradation behavior. The proposed numerical model is validated using shaking table test results from the literature by comparing roof displacement， base shear， hysteretic loops， and modal properties. The results show that the model can reasonably capture the stiffness， strength， and energy dissipation behavior of infilled RC frames， and that the inclusion of infill walls increases the lateral stiffness of the structural system. Furthermore， incremental dynamic analysis and fragility curves are used to establish a probabilistic seismic risk assessment framework for comparing infilled frames and bare frames. The results indicate that masonry infill walls can effectively reduce lateral deformation demands and collapse risk， demonstrating their contribution to the seismic performance of RC buildings. The proposed automated modeling framework can serve as a useful reference for seismic evaluation and earthquake risk assessment of existing buildings. iii Keywords: Reinforced concrete frame; masonry infill wall; automated modeling; Probabilistic Seismic Risk Assessment.
