本文選題：損傷識別 + 海洋平臺　； 參考：《工程力學》2017年02期

【摘要】：結構損傷引起的損傷特征參數(shù)的變化往往被環(huán)境因素(溫度、質量)變化引起的損傷特征參數(shù)的變化所掩蓋,從而導致基于振動的損傷識別方法失效。該文利用時間序列中的AR模型系數(shù)和計量經濟學中的協(xié)整進行環(huán)境因素(溫度、質量)影響下的海洋平臺結構損傷識別研究。首先利用AR模型對實測的加速度響應信號進行擬合,選擇第一階AR系數(shù)為協(xié)整變量,然后對不同節(jié)點的協(xié)整變量進行協(xié)整,將協(xié)整殘差作為損傷指標,最后通過X-bar控制圖進行結構的損傷識別。海洋平臺結構的數(shù)值模擬和振動臺模型試驗結果驗證了該方法的有效性。
[Abstract]:The variation of damage characteristic parameters caused by structural damage is often concealed by the changes of damage characteristic parameters caused by environmental factors (temperature and mass), which leads to the failure of vibro-based damage identification methods. In this paper, the AR model coefficients in time series and cointegration in econometrics are used to study the damage identification of offshore platform structures under the influence of environmental factors (temperature and mass). First, the AR model is used to fit the measured acceleration response signal, and the first order AR coefficient is chosen as the cointegration variable. Then the cointegration variables of different nodes are cointegrated, and the cointegration residuals are taken as the damage index. Finally, the damage identification of the structure is carried out by X-bar control chart. The effectiveness of the method is verified by numerical simulation of offshore platform structure and shaking table model test.
【作者單位】： 青島理工大學土木工程學院;山東省藍色經濟區(qū)工程建設與安全協(xié)同創(chuàng)新中心;
【基金】：國家自然科學基金項目(51179082) 山東省藍色經濟區(qū)工程建設與安全協(xié)同創(chuàng)新中心項目
【分類號】：TU317
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本文編號：1820965