Dynamic Model Updating for Bridge Structures Using the Kriging Model and PSO Algorithm Ensemble with Higher Vibration Modes

Qin, Shiqiang; Zhang, Yazhou; Zhou, Yunlai; Kang, Juntao

doi:10.3390/s18061879

Cited by 68 publications

(34 citation statements)

References 34 publications

(40 reference statements)

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“…It represents a model as simple as numerically efficient, which can be employed for time history analysis of multi-degree-of-freedom systems. It can reasonably catch the higher mode effects for the first few effective modes [27,28]. For these reasons, SBM can be suitable employed for studying the load pattern of the seismic actions.…”

Section: Shear-building Modelmentioning

confidence: 99%

An Optimal Seismic Force Pattern for Uniform Drift Distribution

Montuori¹,

Nastri²,

Tagliafierro³

2019

Buildings

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The force distribution proposed by codes, which in many cases is framed in the equivalent static force procedure, likely leads to design structures with non-uniform drift distribution in terms of inter-storey drift and ductility demands. This can lead to an unbalanced drift demand at certain storeys. This phenomenon may also amass cyclic damage to the dissipative elements at this very storey, therefore increasing the probability of premature failure for low-cycle fatigue. This work proposes a new force design distribution that accounts for higher mode effects and limits the displacement concentration at any storey thus improving the dissipative capacity of the whole structures. The main advantage of the proposed method stands in its formulation, which allows to spare any previous set up with structural analyses. The proposed force distribution has been applied to multi-degree-of-freedom systems to check its effectiveness, and the results have been compared with other proposals. In addition, in order to obtain a further validation of the proposed force distribution, the results obtained by using a genetic algorithm have been evaluated and compared. Additionally, the results provided in this work validate the proposed procedure to develop a more efficient lateral load pattern.

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Section: Shear-building Modelmentioning

confidence: 99%

An Optimal Seismic Force Pattern for Uniform Drift Distribution

Montuori¹,

Nastri²,

Tagliafierro³

2019

Buildings

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“…en, how to select updating parameters and how many should be selected become important issues. Referred to the literature [10], in this engineering project, the FE model updated parameters are as follows:…”

Section: Experimental Veri Cation Of a Tied-arch Bridgementioning

confidence: 99%

“…en, the focus of researchers turned to the surrogate model method, which considers the regression analysis and experiment design. It established the explicit function to model the relationship between the structural responses and the parameters of structures and then applied the explicit function to the FE model to get the analytical data [10]. Marwala [11] proposed the response surface method for FE model updating, using genetic algorithm (GA) to optimize the selected parameters and verified the computational efficiency of the proposed method by an unsymmetrical H-shaped structure.…”

Section: Introductionmentioning

confidence: 99%

Finite Element Model Updating in Bridge Structures Using Kriging Model and Latin Hypercube Sampling Method

Yan

Huang

et al. 2018

Advances in Civil Engineering

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Computational cost reduction and best model updating method seeking are the key issues during model updating for different kinds of bridges. This paper presents a combined method, Kriging model and Latin hypercube sampling method, for finite element (FE) model updating. For FE model updating, the Kriging model is serving as a surrogate model, and it is a linear unbiased minimum variance estimation to the known data in a region which have similar features. To predict the relationship between the structural parameters and responses, samples are preselected, and then Latin hypercube sampling (LHS) method is applied. To verify the proposed algorithm, a truss bridge and an arch bridge are analyzed. Compared to the predicted results obtained by using a genetic algorithm, the proposed method can reduce the computational time without losing the accuracy.

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“…Kriging surrogate models provide explicit functions to represent the relationships between the inputs and outputs of a linear or nonlinear system, which is a desirable advantage for response estimation and parameter identification in structural design and model updating problems. Qin et al [26] applied the kriging model and PSO algorithm for the dynamic model updating of bridge structures using the higher vibration modes under large-amplitude initial conditions. Gao et al [27] proposed a simple method for crack number identification based on a kriging surrogate model.…”

Section: Introductionmentioning

confidence: 99%

An Improved Objective Function for Modal-Based Damage Identification Using Substructural Virtual Distortion Method

et al. 2019

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Damage identification based on modal parameters is an important approach in structural health monitoring (SHM). Generally, traditional objective functions used for damage identification minimize the mismatch between measured modal parameters and the parameters obtained from the finite element (FE) model. However, during the optimization process, the repetitive calculation of structural modes is usually time-consuming and inefficient, especially for large-scale structures. In this paper, an improved objective function is proposed based on certain characteristics of the peaks of the frequency response function (FRF). Traditional objective functions contain terms that quantify modal shapes and/or natural frequencies. Here, it is proposed to replace them by the FRF of the FE model, which allows the repeated full modal analysis to be avoided and thus increases the computational efficiency. Moreover, the efficiency is further enhanced by employing the substructural virtual distortion method (SVDM), which allows the frequency response of the FE model of the damaged structure to be quickly computed without the costly re-analysis of the entire damaged structure. Finally, the effectiveness of the proposed method is verified using an eight-story frame structure model under several damage cases. The damage location and extent of each substructure can be identified accurately with 5% white Gaussian noise, and the optimization efficiency is greatly improved compared with the method using a traditional objective function.

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Dynamic Model Updating for Bridge Structures Using the Kriging Model and PSO Algorithm Ensemble with Higher Vibration Modes

Cited by 68 publications

References 34 publications

An Optimal Seismic Force Pattern for Uniform Drift Distribution

An Optimal Seismic Force Pattern for Uniform Drift Distribution

Finite Element Model Updating in Bridge Structures Using Kriging Model and Latin Hypercube Sampling Method

An Improved Objective Function for Modal-Based Damage Identification Using Substructural Virtual Distortion Method

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