為研探本土建築結構使用比例最高的鋼筋混凝土(RC)構材，於火災高溫引致傷損乃至破壞之行為特徵與相關火場災後之鑑識應用性。本研究成果主要結合熱損理論解析；並建立實驗模型驗證新創之簡速型聲學式非破壞檢測技術；再將其應用於火災現場作災後之結構安全調查；最後研發相關智化物聯網(AIoT)作聯結整合。研發成果顯示，超音波脈衝之體波量測，即以「剪-壓波速比(Vs/Vp)」建立鋼筋混凝土構材火害傷損指標為適確可行，同時可用以推測火場溫度分布，相關研究成果，可作火災現場混凝土結構物之勘災應用。

This research aims to explore the features and identification of damage in the most commonly used reinforced concrete (RC) buildings after the fire. This research integrates the analysis of heat loss theory and establishes the experimental model to validate the newly created, simple, and fast non-destructive acoustic testing technique, and apply it to the post-disaster structural safety investigation at the fire scene. Research and development of related Artificial Intelligence of Things (AloT) are then integrated. The result showed that it is feasible to use P-wave ultrasonic pulse test to create an indicator of valuing the damage of reinforced concrete materials under the fire exposure. It can be used to speculate the temperature distribution and to be applied to the damage survey in the concrete structures at the fire scene.