Input Force Estimation of Structures through Measurement of Response
Date Issued
2014
Date
2014
Author(s)
Wu, Tzung-Han
Abstract
For purposes of monitoring and damage prognosis it is important to know the external loads which act on a structural system. Therefore, the force identification technique is developed for understanding the external loads. The force identification algorithm is the core among the force identification technique. In this paper, several force identification algorithms including modified recursive square Kalman filter method (MRLSKF), unknown input Kalman filter method (UIKF), reduced order observer method (ROOM) and the theoretical Bernoulli beam method (TBB) are introduced. Four simulated cases are used for verifying force identification algorithms. Also, the force identification technique is applied to experimental cases and real world cases. First a simply supported beam is set for proving the practicability of force identification technique. Second, a 6 floor frame structure by shaking table test is introduced for verifying that the force identification can be used in earthquake excitation case. Then, a real world case about the Canton tower under the Burma earthquake is introduced. In this case, the input force is tried to reconstruct by measurement response. Finally, a scouring experiment is applied to understand the turbulence force and establish the relationship among the wave velocity, turbulence force and the depth of scoring.
Subjects
外力識別演算法
修正回歸平方卡爾曼濾波器法
未知外力卡爾曼濾波器法
降階觀測器法
理論柏努力梁方法
莫瑞森方程式
廣州鐵塔
沖刷
Type
thesis
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