台灣地狹人稠且地質條件複雜，橋梁作為交通運輸之核心基礎設施，其結構安全與性能評估至關重要。因此，建立一套具系統性與可擴展性的橋梁識別與監測方法，對於確保橋梁長期營運安全具有重要意義。本文提出一套循序漸進之橋梁特性識別流程。透過初步靜力加載試驗量測橋體撓度與變形模式，藉此評估其勁度並推估等值撓曲勁度，進而計算垂直向第一自然振動頻率，以建構初步之數值分析模型。為驗證數值模型之準確性與代表性，本研究進一步結合激振器與振動台之動態試驗成果，對橋梁之模態頻率進行交叉比對與驗證，確保理論分析與實測結果間之高度一致性。本文利用激振器施加微小之激振能量，以激發結構之共振反應，進而精確辨識橋梁之模態頻率。另一方面，透過振動台提供較足夠且具寬頻特性之激振能量，使各垂直向模態得以充分激發與驗證，藉此全面檢視結構之動力響應行為。希望透過該方法能夠建立一套有效的方式建構橋梁之數位分身模型外，亦為結構健康監測建立可靠之分析基礎。

This study combines static and dynamic testing to construct a bridge digital twin for structural health monitoring. Initially, preliminary static loading tests were performed to measure bridge deflection and deformation patterns. These experimental data were utilized to evaluate structural stiffness and estimate the equivalent flexural stiffness, which served as the basis for calculating the first vertical natural frequency and developing an initial numerical model. To ensure the accuracy and representativeness of the numerical model, dynamic tests involving both an exciter and a shaking table were conducted for cross-validation. An exciter was employed to provide low-level excitation for precise resonance identification and modal frequency extraction. Subsequently, a shaking table provided broadband excitation with sufficient energy to fully excite multiple vertical modes, allowing for a comprehensive evaluation of the structure's dynamic response. The results demonstrate high consistency between theoretical analysis and experimental measurements.

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