本文針對正規化相對位移振動振形(NRDVS)之篩選與取點方式進行改良，將相對位移反應歷時，透過低通數位濾波之處理，提出整段選取之方式，如此可有效地增加樣本數目，進而使NRDVS更具代表性且更趨近於第一模態振形，並與前人提出之篩選方式進行比較。另外當結構物受到地震作用而產生破壞時，系統特性將由線性進入非線性，本文利用遞迴最小平方法(RLS)之識別技術，判別系統特性改變時間點，並以此為基準作為未破壞狀態與破壞狀態之分野，分別建立未破壞與破壞狀態之NRDVS與NIDR，即為利用RLS進行NRDVS之分段萃取技術。文中除設計變勁度結構系統之振動台試驗，驗證利用RLS進行NRDVS分段萃取技術之可行性，並應用二層樓鋼筋混凝土校舍縮尺模型之振動台試驗量測資料，進行NRDVS建立流程之驗證，並根據其正規化層間變位角(NIDR)，討論NIDR增量與損壞位置之關係，損壞評估之結果與試驗所描述之損壞位置與狀況相符。最後，應用實際建築結構物量測資料，利用RLS及NRDVS進行損壞評估，分別建立未破壞與破壞之NRDVS與NIDR，討論其NIDR增量與損壞位置之關係，評估結果與勘災報告所描述之損壞位置狀況相符。

In order to improve the integrity of normalized relative displacement vibration shape (NRDVS) to close to the fundamental mode shape, the integrated relative displacement measurements are filtered by a digital low-pass filter and the procedures of screening are revised. By increasing the selected data points and a more rigorous screening, the proposed revision is compared with previous studies. By adopting the recursive least squares (RLS) identification procedures, the NRDVSs and corresponding NIDRs of undamaged state and destruction state can be established separately for damage assessment of building during strong ground motion. The measurements of shaking table tests of both variable-stiffness system and scaled-down two-story reinforced concrete school building models are investigated to validate the proposed RLS-NRDVS damage assessment technique. The global increment on NIDR of the damaged floor with respect to their undamaged state will be increased. Furthermore, the local increment on NIDR of the damaged floor of the latter event with respect to the former event will be increased as well. They can locate the location of damaged floor correctly and can also reveal the damage level of different corner at the same floor. Furthermore, the proposed RLS-NRDVS technique is implemented to investigate the recorded strong-motion data of two building structures; the damage assessment results can reveal the damage status correctly as reported from the reconnaissance report.

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