基于關聯(lián)模態(tài)云推理算法的輸電塔結構損傷識別

郭惠勇 何清林

摘 要： 為了解決輸電塔等工程結構在不確定因素干擾下的損傷識別問題，提出了一種基于關聯(lián)模態(tài)的云推理算法。建立殘余力基本方程，并分析了基于殘余力向量的損傷識別原理;提出了基于殘余力的云推理算法，給出了云模型的數(shù)字特征，分析了前件云發(fā)生器和后件云發(fā)生器，給出了基于灰云模型的定性規(guī)則庫建立方法，并利用云規(guī)則組成了相應的云推理系統(tǒng)?？紤]到殘余力法易受測量噪聲等不確定因素干擾的弱點，進一步提出了關聯(lián)模態(tài)云推理算法，以提高損傷識別的精度和可靠性，并采用輸電塔結構模型進行了損傷識別研究。數(shù)值計算結果表明，關聯(lián)模態(tài)云推理算法可以較好地識別出結構損傷，其識別效果明顯優(yōu)于殘余力向量法和殘余力云推理算法。

關鍵詞： 損傷識別;殘余力;云推理;模態(tài);云模型

中圖分類號：TU392.6;TM753? ? 文獻標志碼：A? ?文章編號：2096-6717（2020）02-0135-08

Damage identification of transmission tower based on associated mode cloud reasoning algorithm

Guo Huiyong，He Qingling

（School of Civil Engineering; Key Laboratory of New Technology for Construction of Cities in Mountain Area， Ministry of Education， Chongqing University， Chongqing 400045， P.R.China）

Abstract：? In order to identify the damage of transmission tower and other engineering structures under the influence of uncertain factors， a cloud reasoning algorithm based on associated mode is presented.Firstly， residual force equation is established and damage identification principle based on residual force vector is analyzed.Then， a cloud reasoning algorithm based on residual force is proposed.Numerical characteristics of cloud model are given， front cloud generator and rear cloud generator are analyzed， qualitative rules based on gray cloud model are proposed， and corresponding cloud reasoning system is composed by using cloud rules.Finally， given the drawback that residual force is susceptible to uncertain factors such as measurement noise， a cloud reasoning algorithm based on associated mode is presented to enhance the identification accuracy and reliability.And a transmission tower structure is applied to damage identification.The simulation results indicate that the cloud reasoning algorithm based on associated mode can well identify structural damage， and the identification results of the proposed algorithm are obviously superior to those of residual force vector method and the cloud reasoning algorithm based on residual force.

Keywords： damage identification; residual force; cloud reasoning; mode; cloud model

隨著經濟的發(fā)展和電力需求的日益增長，中國已建成多條特高壓輸電線路。輸電塔是輸電線路的重要組成部分，其在服役期間常會受到雨雪的腐蝕以及風致荷載的疲勞作用，從而造成結構的損傷和承載力下降，最終可能導致倒塌等嚴重事故，故有必要對輸電塔等工程結構進行健康監(jiān)測和損傷識別研究[1]。結構的損傷會降低結構的剛度等物理量，導致結構的動力特性也隨之變化。因此，許多研究者利用損傷前后的動力特性參數(shù)進行損傷識別。常見的動力特性參數(shù)包括頻率、振型、曲率模態(tài)、應變能、頻率響應函數(shù)、柔度矩陣、殘余力等[2-4]?！?br>