FE Model Updating on an In-Service Self-Anchored Suspension Bridge with Extra-Width Using  Hybrid Method

Xia, Zhiyuan; Li, Aiqun; Li, Jianhui; Duan, Maojun

doi:10.3390/app7020191

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…The Kriging models built by different tuning parameters, regression and correlation models present different goodness of fitting. The optimal combination can be determined by the artificial swarm intelligence algorithms, such as genetic algorithm (GA), particle swarm optimization (PSO), and artificial bee colony algorithm (ABC) [ 38 ]. ABC outperforms other algorithms due to its simple structure, easy implementation and outstanding performance [ 39 , 40 ], which is employed in this paper.…”

Section: An Improved Modal-based Approach To Calculate Bridge Deflmentioning

confidence: 99%

Reliability Assessment of Deflection Limit State of a Simply Supported Bridge using vibration data and Dynamic Bayesian Network Inference

Liu

Jiao

et al. 2019

Sensors

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Structural health monitoring (SHM) has been widely used in all kinds of bridges. It is significant to accurately assess the serviceability and reliability of bridge subjected to severe conditions by SHM technique. Bridge deflection as an essential evaluation index can reflect structural condition perfectly. In this study, an approach for deflection calculation and reliability assessment of simply supported bridge is presented. Firstly, a bridge deflection calculation method is proposed based on modal flexibility and Kriging method improved by artificial bee colony algorithm. Secondly, a dynamic Bayesian network is employed to evaluate the deflection reliability combined with monitoring results which include modal frequency, mode shape, environmental temperature, and humidity. A linear regression model is established to analyze the relationship between modal parameters and environmental factors. Thirdly, a simply supported bridge is constructed and monitored to verify the effectiveness of the proposed method. The results reveal that the proposed method can precisely calculate the bridge deflection. Finally, the time-dependent reliabilities of two cases are computed and the effects of monitoring factors on bridge deflection reliability are analyzed by sensitivity parameter. It indicates that the reliability is negatively correlated with temperature and more sensitive to mode shape than other three factors.

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Section: An Improved Modal-based Approach To Calculate Bridge Deflmentioning

confidence: 99%

Reliability Assessment of Deflection Limit State of a Simply Supported Bridge using vibration data and Dynamic Bayesian Network Inference

Liu

Jiao

et al. 2019

Sensors

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“…ese make the stress characteristics, stress distribution, and structural load response of self-anchored suspension bridge with double-sided steel box girder become key issues in the field of bridge engineering [5].…”

Section: Introductionmentioning

confidence: 99%

Mechanical Performance Analysis and Parametric Study of a Self‐Anchored Suspension Bridge with Ultra‐Wide Double‐Sided Steel Box Girder

Tang

Liu

et al. 2021

Advances in Civil Engineering

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A sufficient understanding of mechanical performance of self-anchored suspension bridge with double-sided steel box girder is essential for design and normal use as such bridges are widely built in urban bridge. Using the Yunlongwan Bridge which is a suspension bridge with ultra-wide double-sided steel box girder as an example, this paper investigates its deformation and mechanical performance under vehicle load. Firstly, based on the field test results, the deformation performance of the bridge and the stress distribution of the main girder are analysed, with emphasis on the shear lag effect of double-sided steel box girder. Then, a multiscale model of the bridge was built, and the accuracy of the model was verified by comparison with the test data. Finally, the influence of design parameters on the mechanical behaviour of double-sided steel box girder is studied by numerical simulation. The results show that the deformation of the bridge has good symmetry, there is obvious shear lag effect on the main girder, and the U-rib thickness, diaphragm spacing, and vehicle load could significantly affect the stress of the main girder top plate. The obtained analytical results lead to a better understanding of the mechanical performance and provide reference for the design of self-anchored suspension bridge with double-sided steel box girder.

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“…In order to obtain the benchmark model, the finite element model updating (FEMU) aimed at reducing the structural theoretical responses and the actual responses error has been extensively studied by scholars at home and abroad. The research review and results of FEMU can be found in the literature [4][5][6][7][8][9][10][11][12][13][14]. In summing up the research progress of FEMU, Li et al [7] reviewed the main methods of traditional FEMU and pointed out that the FEMU is developing from linear to nonlinear.…”

Section: Introductionmentioning

confidence: 99%

Research on Multi-Alternatives Problem of Finite Element Model Updating Based on IAFSA and Kriging Model

Kang

Zhang

Cao

et al. 2020

Sensors

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Due to insufficient test data, insufficient constraint equations and uncertain objective function, the local optimal solution and the global optimal solution of the objective function in finite element model updating may represent the actual parameters of the structure. Based on this, this paper proposes an improved artificial fish school algorithm. By combining the niche technology with the artificial fish school algorithm, the improved algorithm can systematically find multiple global optimal solutions and local optimal solutions of the objective function. Aiming at the difficulty of determining the niche radius, an adaptive niche radius mechanism is proposed. The improved algorithm is used to study the multi-alternatives problem of finite element model updating after verifying its feasibility through numerical simulation analysis. In the case of benchmark framework model updating, it is confirmed that multi-alternative problems exist and the global optimal solution of the objective function does not necessarily represent the true parameters of the structure. In case 2, the improved algorithm combined with the Kriging model is applied to the model updating of a cable-stayed footbridge, and 15 sets of solutions are obtained, in which the error objective function values of the measured and theoretical values of the bridge modes are close but the solutions are completely different. Combining with the actual bridge condition and reanalysis technology, the author takes the suboptimal solution 2 as the most representative solution of the bridge parameters, which reduces the possibility of misjudgment of structural parameters.

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FE Model Updating on an In-Service Self-Anchored Suspension Bridge with Extra-Width Using Hybrid Method

Cited by 7 publications

References 25 publications

Reliability Assessment of Deflection Limit State of a Simply Supported Bridge using vibration data and Dynamic Bayesian Network Inference

Reliability Assessment of Deflection Limit State of a Simply Supported Bridge using vibration data and Dynamic Bayesian Network Inference

Mechanical Performance Analysis and Parametric Study of a Self‐Anchored Suspension Bridge with Ultra‐Wide Double‐Sided Steel Box Girder

Research on Multi-Alternatives Problem of Finite Element Model Updating Based on IAFSA and Kriging Model

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