建築結構健康監控系統配置之研究-以鋼構廠房為例

Abstract

臺灣因其特珠地理條件下，面臨多種自然災害風險，如颱風和地震等，這使得營建工程產業必須具備居安思危的觀念，並制定相應的風險管理策略，以實現韌性城市的願影。雖然近年來臺灣在災後搶救和建築修復技術方面取得了顯著進展，但仍難以完全保障生命和財產安全•對此，結構監測儀器和辨識方法的研究逐漸增加，但目前的研究多集中於數值模型模擬及實驗室試驗，尚未針對具體建築專案提出經濟實用且可靠的監控系統規刻。 本研究以某國營事業機構的重要發電設施廠房為案例，針對自然災害外部衝擊，透過建築結構制定歷程，運用 TEKLA 及 ETABS 結構分析軟體，著重探討結構系統抵禦外力機制，辦識系統栽重控制因子，模擬結構構件破壞順序，從而定義重點監控構件標準。期能大幅降低系統點位佈設比率，並結合業界監測新知技術，提出最佳化結構健康監控系統（Structure Health Monitoring，SHM）配置方案。另經由歷史數據進行動力分析歷時模擬驗證，取得具相當可靠度的辨識成果。透過主動結構安全數據蒐測，在遭受外部衝擊時，能提供關鍵數據支援緊急應變和修復評估，避免城市機能系統鏈中斷，影響基礎設施品質恢復時程。同時，透過與中央監控軟硬體整合，將數據自動化導入物管單位系統，作為日後評估建物整建維護計畫的參考依據，從而達到延長建築物生命週期的目樑。

Due to its unique geographical conditions, Taiwan faces multiple natural disaster risks, such as typhoons and earthquakes. This necessitates the construction industry to adopt a proactive risk management approach to achieve the vision of a resilient city. Despite significant advancements in disaster recovery and building restoration technologies in recent years, ensuring complete safety of lives and property remains challenging. Consequently, research on structural monitoring instruments and identification methods has been increasing. However, current studies mainly focus on numerical model simulations and laboratory tests, and have yet to propose economical, practical, and reliable monitoring system plans for specific building projects. This study takes a power generation facility of a state-owned enterprise as a case example. In response to external impacts from natural disasters, it formulates a structural process using TEKLA and ETABS structural analysis software, focusing on exploring the mechanism of the structural system's resistance to external forces, identifying system load control factors, and simulating the sequence of structural component failures. This aims to define standards for key monitoring components, significantly reducing the system's point layout ratio. By integrating the latest monitoring technologies from the industry, the study establishment suggestion of an optimized Structure Health Monitoring (SHM) system plan. Furthermore, through dynamic analysis and time-history simulation verification using historical data, the study achieves identification results with considerable reliability. By actively collecting structural safety data during external impacts, the system can provide critical data to support emergency response and repair assessments, preventing disruptions in urban functional systems and affecting infrastructure quality recovery timelines. Additionally, through integration with central monitoring hardware and software, the data can be automatically incorporated into property management systems, serving as a reference for future building maintenance and renovation plans, thereby achieving the goal of extending the building's lifecycle.