本研究主要為運用智能骨材感測器進行混凝土梁早期強度評估與RC剪力牆振動試驗之損壞評估,在早期強度評估試驗上探討混凝土強度與壓電振福訊號的關聯性;剪力牆試驗為診斷結構體的損壞程度,並比較預埋之智能骨材感測器與後埋之智能骨材感測器有何差異。所使用的智能骨材感測器是利用壓電陶瓷材料所製成,利用基本波動力學及壓電材料可發射應力波亦可接收應力波之特性,進行混凝土結構物之健康診斷研究。結構健康診斷為將智能骨材感測器埋入RC結構物內,當試體受到破壞時,由智能骨材感測器發射應力波以及不同位置的感測器來擷取應力波,利用應力波振幅隨著結構破壞程度、裂縫增加而減少振幅的特性,可知RC結構物之損壞程度,再利用數值分析得到損壞指標,即可判斷出結構物損壞程度,當結構物達到嚴重破壞時,所量測到的損壞指標也相當接近最大值。本次研究可驗證壓電材料用於RC結構物檢測的可行性,並藉由預埋與後埋兩種方式,模擬智能骨材應用於新建結構物與現有結構物的差異性,實為土木結構非破壞檢測上之一種新的檢測方法。
In this research,the smart piezoelectric sensors have been applied to the damage detections of concrete beam and shear wall. Comparison of Pre-embedded in the smart aggregate sensors and post-embedded in the smart aggregate sensors what is the difference. The adopted smart sensors of this research are fabricated by piezoceramic materials. Base on the wave propagation theory and the sensor can be used as actuator and receiver for sending and receiving stress waves to monitor the health state of the concrete structures. The first test was development of technique for early-age strength monitoring of concrete beam. The second test was a shake table test of a reinforced shear wall. A piezoceramic-based device, called smart aggregate, was pre-embedded and adopted for the structural health monitoring of the concrete frame under earthquake excitations. By analyzing the wave response, the existence of crack can be detected and the severity can be estimated. The experimental results demonstrate the sensitiveness and the effectiveness of the piezoceramic-based approach in the structural health monitoring of concrete structures under earthquake loading. This is a new detection method for civil engineering structures on non-destructive testing.
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