Review and Prospect on Modal Parameter Identification of Spatial Lattice Structure Based on Ambient Excitation

2011 ◽  
Vol 94-96 ◽  
pp. 1271-1277
Author(s):  
Cai Wei Liu ◽  
Jin Zhi Wu ◽  
Yi Gang Zhang
Keyword(s):  
Parameter Identification ◽  
Health Monitoring ◽  
Lattice Structure ◽  
Construction Technology ◽  
Spatial Structures ◽  
Modal Parameter ◽  
Modal Parameter Identification ◽  
Large Span ◽  
Core Technology ◽  
Ambient Excitation

With the continuous development of national economy and the construction technology, a lot of large-span spatial structures with unique form and complex construction are emerging. The health monitoring system that mainly used in bridge structure is applied in large-span spatial structures gradually. Parameter identification and damage alarming are the core technology of health monitoring. In this paper some structural modal parameter identification methods based on ambient excitation are introduced. Finally, for large span structures with characteristics of low-intensive modes, the response data based on large span structures for modal parameter identification method was summed up, and the critical issues for further research in this field are also presented.

Development and some Key Issues of Modal Parameter Identification in Bridges

2013 ◽  
Vol 574 ◽  
pp. 193-198
Author(s):  
Guo Hai Hu ◽  
Cheng Ma ◽  
Chang Xi Yang ◽  
Yang Liu
Keyword(s):  
Parameter Identification ◽  
Working Condition ◽  
Modal Identification ◽  
Modal Parameter ◽  
Fundamental Idea ◽  
Modal Parameter Identification ◽  
Identification Methods ◽  
Identification Technique ◽  
Key Issues ◽  
Ambient Excitation

In this study, the modal identification methods based on time and frequency domain are summarized, and the working condition, identified accuracy and some fundamental idea of these approaches are discussed. By comparing the characteristic of different identification method, the identification technique based on ambient excitation is promising in bridges since it is difficult to measure the excitation information. Some challenge and key issues of modal identification of bridges are pointed out in the last part.

Modal Parameter Identification of a Rigid Frame-Continuous Girders Bridge under Ambient Excitation by Fast Bayesian FFT Method

2013 ◽  
Vol 639-640 ◽  
pp. 985-991 ◽  
Author(s):  
Jian Ping Han ◽  
Pei Juan Zheng
Keyword(s):  
Parameter Identification ◽  
Model Updating ◽  
Element Model ◽  
Modal Identification ◽  
Modal Parameters ◽  
Modal Parameter ◽  
Modal Parameter Identification ◽  
Stochastic Subspace Identification ◽  
Rigid Frame ◽  
Ambient Excitation

Bayesian theory is adopted in modal parameter identification, finite element model updating and residual capacity evaluation of the structures recently. Fast Bayesian FFT modal identification approach provides a rigorous way to obtain modal parameters and well-separated modes using the fast Fourier transform under ambient excitation. Moreover, it avoids choosing the modal order or removing false modes based on the stable diagram and has its obvious advantages. In this paper, modal parameters of a rigid frame-continuous girders bridge under ambient excitation are identified by this approach. Comparison with stochastic subspace identification (SSI) method indicates that Fast Bayesian FFT is a good approach to identify the modal parameters even for a large number of measurement channels.

scholarly journals Improved Continuous Wavelet Transform for Modal Parameter Identification of Long-Span Bridges

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Mingjin Zhang ◽  
Xu Huang ◽  
Yongle Li ◽  
Hao Sun ◽  
Jingyu Zhang ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Parameter Identification ◽  
Suspension Bridge ◽  
Continuous Wavelet ◽  
Modal Parameter ◽  
Modal Parameter Identification ◽  
Long Span Bridges ◽  
Cable Stayed Bridge ◽  
Long Span ◽  
Ambient Excitation

Accurate and timely identification of modal parameters of long-span bridges is important for bridge health monitoring and wind tunnel tests. Wavelet analysis is one of the most advantageous methods for identification because of its good localization characteristics in both time and frequency domain. In recent years, the wavelet method has been applied more frequently in parameter identification of linear and nonlinear systems. In this article, based on wavelet ridges and wavelet skeleton, the improved modal parameter identification method was studied. To find the appropriate time-frequency resolution, an optimal wavelet basis design principle based on minimum Shannon entropy was proposed. Aiming at endpoint effect in wavelet transform, a prediction continuation method based on support vector machine (SVM) was proposed, which can effectively suppress the endpoint effect of the extended samples. In view of the fact that the ridges of metric matrices obtained by the traditional crazy climber algorithm cannot fully reflect the distribution of ridges of modulus value matrices of wavelet coefficients, an improved high-precision crazy climber algorithm was put forward to accurately identify the position of the ridge of wavelet coefficients. Finally, taking a long-span cable-stayed bridge and a long-span suspension bridge as the engineering background, improved continuous wavelet transform (CWT) was applied to modal parameter identification of bridge under ambient excitation. The modal parameters such as modal frequency, damping ratio, and mode shape were obtained. Compared with the calculation value of the numerical simulation of long-span cable-stayed bridge and wind tunnel test of long-span suspension bridge, the reliability of CWT for modal parameter identification of long-span bridges under ambient excitation was verified.

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