Damage Identification in Frame Structure Based on Inverse Analysis

2021 ◽  
pp. 197-211
Author(s):  
Samir Khatir ◽  
Samir Tiachacht ◽  
Brahim Benaissa ◽  
Cuong Le Thanh ◽  
Roberto Capozucca ◽  
...  
Keyword(s):  
Inverse Analysis ◽  
Damage Identification ◽  
Frame Structure

Optimal Sensor Placement Algorithm for Structural Damage Identification

2020 ◽  
Vol 14 (1) ◽  
pp. 69-81
Author(s):  
C.H. Li ◽  
Q.W. Yang
Keyword(s):  
Structural Damage ◽  
Damage Identification ◽  
Sensor Placement ◽  
Optimization Procedure ◽  
Frame Structure ◽  
Truss Structures ◽  
Optimal Sensor Placement ◽  
Structural Damage Identification ◽  
Placement Algorithm ◽  
Sensor Locations

Background: Structural damage identification is a very important subject in the field of civil, mechanical and aerospace engineering according to recent patents. Optimal sensor placement is one of the key problems to be solved in structural damage identification. Methods: This paper presents a simple and convenient algorithm for optimizing sensor locations for structural damage identification. Unlike other algorithms found in the published papers, the optimization procedure of sensor placement is divided into two stages. The first stage is to determine the key parts in the whole structure by their contribution to the global flexibility perturbation. The second stage is to place sensors on the nodes associated with those key parts for monitoring possible damage more efficiently. With the sensor locations determined by the proposed optimization process, structural damage can be readily identified by using the incomplete modes yielded from these optimized sensor measurements. In addition, an Improved Ridge Estimate (IRE) technique is proposed in this study to effectively resist the data errors due to modal truncation and measurement noise. Two truss structures and a frame structure are used as examples to demonstrate the feasibility and efficiency of the presented algorithm. Results: From the numerical results, structural damages can be successfully detected by the proposed method using the partial modes yielded by the optimal measurement with 5% noise level. Conclusion: It has been shown that the proposed method is simple to implement and effective for structural damage identification.

scholarly journals A new regularization method for dynamic load identification

2020 ◽  
Vol 103 (3) ◽  
pp. 003685042093128 ◽  
Author(s):  
Linjun Wang ◽  
Yang Huang ◽  
Youxiang Xie ◽  
Yixian Du
Keyword(s):  
Dynamic Load ◽  
Regularization Method ◽  
Inverse Analysis ◽  
Vibration Isolation ◽  
Frame Structure ◽  
Tikhonov Regularization Method ◽  
Strength Analysis ◽  
Regularization Methods ◽  
Load Identification ◽  
Practical Engineering

Dynamic forces are very important boundary conditions in practical engineering applications, such as structural strength analysis, health monitoring and fault diagnosis, and vibration isolation. Moreover, there are many applications in which we have found it very difficult to directly obtain the expected dynamic load which acts on a structure. Some traditional indirect inverse analysis techniques are developed for load identification by measured responses. These inverse problems about load identification mentioned above are complex and inherently ill-posed, while regularization methods can deal with this kind of problem. However, most of regularization methods are only limited to solve the pure mathematical numerical examples without application to practical engineering problems, and they should be improved to exclude jamming of noises in engineering. In order to solve these problems, a new regularization method is presented in this article to investigate the minimum of this minimization problem, and applied to reconstructing multi-source dynamic loads on the frame structure of hydrogenerator by its steady-state responses. Numerical simulations of the inverse analysis show that the proposed method is more effective and accurate than the famous Tikhonov regularization method. The proposed regularization method in this article is powerful in solving the dyanmic load identification problems.

Multi-Resolution Analysis and Damage Identification of Structure

2011 ◽  
Vol 368-373 ◽  
pp. 593-598
Author(s):  
Li Jiao ◽  
Hai Zhang ◽  
Hong Wei Liu
Keyword(s):  
Numerical Analysis ◽  
Damage Identification ◽  
Frame Structure ◽  
Fusion Method ◽  
Limited Information ◽  
Surrounding Area ◽  
Multi Resolution Analysis ◽  
Resolution Analysis ◽  
Single Sensor ◽  
Working Status

By using wavelet multi-resolution analysis, damage sensitivity in different acceleration responding signals from different locations of the structure are studied in this paper. Through numerical analysis of a five-layer frame structure, the result shows that the sensors in different location have different capabilities in denoting the damage signal. Each sensor can only denote the working status of the surrounding area. Single or some of the sensors may lead to false diagnostic results. It can be concluded that multi sensors with data fusion method is the effective way to solve the problem of limited information by single sensor.

scholarly journals Structural Damage Identification Based on the Minimum System Realization and Sensitivity Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
W. R. Li ◽  
Y. F. Du ◽  
S. Y. Tang ◽  
L. J. Zhao
Keyword(s):  
Sensitivity Analysis ◽  
Damage Detection ◽  
Structural Damage ◽  
Damage Identification ◽  
Structural Information ◽  
Structural Response ◽  
Frame Structure ◽  
Structural Damage Detection ◽  
System Realization ◽  
Minimum System

On the basis of the thought that the minimum system realization plays the role as a coagulator of structural information and contains abundant information on the structure, this paper proposes a new method, which combines minimum system realization and sensitivity analysis, for structural damage detection. The structural damage detection procedure consists of three steps: (1) identifying the minimum system realization matrixes A, B, and R using the structural response data; (2) defining the mode vector, which is based on minimum system realization matrix, by introducing the concept of the measurement; (3) identifying the location and severity of the damage step by step by continuously rotating the mode vector. The proposed method was verified through a five-floor frame model. As demonstrated by numerical simulation, the proposed method based on the combination of the minimum realization system and sensitivity analysis is effective for the damage detection of frame structure. This method not only can detect the damage and quantify the damage severity, but also is not sensitive to the noise.

Vibration-Based Seismic Damage Identification in Buildings

2005 ◽  
Vol 293-294 ◽  
pp. 727-734
Author(s):  
José L. Zapico ◽  
María P. González
Keyword(s):  
Natural Frequencies ◽  
Damage Identification ◽  
Element Model ◽  
Seismic Damage ◽  
Frame Structure ◽  
Moment Frame ◽  
Steel Moment Frame ◽  
Data Errors ◽  
Simplified Finite Element Model ◽  
Storey Building

This article deals with a method for seismic damage identification in buildings with steel moment-frame structure. The damage identification is based on artificial neural networks and natural frequencies. A simplified finite element model is used to obtain the data needed for training the nets. The method is simulated on a four-storey building under conditions as close as possible to reality. The robustness of the method and its sensitivity to the variations of the mass with time and the influence of the data errors is addressed. The statistical analysis of the results is successful, but it reveals that the predictions are quite sensitive to the data errors.

scholarly journals E12 Development of Multi Damage Identification Analysis for Frame Structure by Applying Filtering Theory

2009 ◽  
Vol 2009.62 (0) ◽  
pp. 139-140
Author(s):  
Hiroyuki KUROKI ◽  
Takahiro KONDOU ◽  
Yasuhiro BONKOBARA ◽  
Yuichiro SAKAMOTO
Keyword(s):  
Damage Identification ◽  
Frame Structure ◽  
Filtering Theory ◽  
Identification Analysis

Space Rigid Frame Damage Identification Method Based on Modal Analysis

2013 ◽  
Vol 351-352 ◽  
pp. 1244-1248
Author(s):  
Hong Yu Jia ◽  
Peng Fei Yue ◽  
Xiao Fei Wang
Keyword(s):  
Modal Analysis ◽  
Structural Damage ◽  
Vibration Mode ◽  
Damage Identification ◽  
Three Dimensional ◽  
Frame Structure ◽  
Space Frame ◽  
First Order ◽  
Damage Location ◽  
Rigid Frame

Space frame structure of no damage and injury finite element models were established with ANSYS, and analyze 3D curvature mode as well three-dimensional vibration mode variety rate of the space rigid frame based on modal analysis. Curvature mode and three-dimensional vibration mode variety rate as the labeled amount was selected and applied to structural damage. The calculated results showed that the first-order curvature mode not only identify against single or multiple damage location, but also determine the initial degree of injury, and the axial curvature mode is better than the horizontal curvature mode for damage identification; The calculated results also showed that the variety rate of the first-order vibration mode can identify against damage location. Methods were provided by identifying the space frame structural damage of the curvature mode or three-dimensional vibration mode variety rate.

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