Determination of the Effective Stiffness of Half-Open Cross-Section Bars and Orthotropic Steel Deck of a Truss Bridge Using Model Updating

Ho, Long Viet; Roeck, Guido De; Bui-Tien, Thanh; Wahab, Magd Abdel

doi:10.1007/978-981-15-9893-7_6

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…Even a small loss in stiffness of structure can cause a change in these modal characteristics. Therefore, more and more existing bridges are tested to identify modal properties for structural health monitoring (SHM) [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…This section presents a free-vibration laboratory experiment of a large-scale, full-size structure. It is a cut out of a real continuous truss bridge deck over the Red river [4]. The cantilever structure is formed by welding one end with a steel plate on a reaction wall (see Fig.…”

Section: Experimental Campaign Of a Steel-concrete Composite Cantilever Structure A Introduction To Tested Structurementioning

confidence: 99%

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An efficient stochastic-based coupled model for damage identification in plate structures

Trinh

Roeck

et al. 2022

Engineering Failure Analysis

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Mode shape-based method has shown its dominance in failure identification of beams. However, it is a challenge for fault detection in a plate structure. It requires combined information in two directions to determine the damage location. In this study, a damage index, namely mode shape derivative based damage identification (MSDBDI), is applied to localize damage in fixed-free plate structures. Two-dimensional (2D) displacement mode shapes and their derivatives are used to identify the MSDBDI index. It is a fact that this indicator is stuck in indicating the damage severity. Hence, a coupled model between an artificial neural network (ANN) and antlion optimizer (ALO), so-called ALOANN is used to overcome this drawback. In this method, ALO instead of a backpropagation algorithm is used to look for the best initial values of learnable parameters of ANN i.e. weights and biases through mean squared error (MSE). These obtained parameters are added to ANN for damage identification. The efficiency of the proposed approach is tested with two numerical studies of the plate structures with single and multiple damage scenarios. In the first application, damage scenarios in a plate-like structure are detected. In the second application, ALO first is used to build a FE model of a composite structure based on a vibration experiment. Then the slab of the updated model is assumed to be suffered several damage scenarios. In both applications, failures are localized by using damage index. Then, the proposed approach is used to quantify the corresponding extent by means of changes in frequencies and displacement mode shapes. Values of damage index are achieved from modal properties of one or three out of the first five modes of the two considered structures. A conventional ANN also is investigated for comparison. Results of damage identification indicate that the damage indicator coupled with ALOANN show better performance compared with using ANN alone even when a noise level is assigned to modal properties.

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Section: Introductionmentioning

confidence: 99%

Section: Experimental Campaign Of a Steel-concrete Composite Cantilever Structure A Introduction To Tested Structurementioning

confidence: 99%

An efficient stochastic-based coupled model for damage identification in plate structures

Trinh

Roeck

et al. 2022

Engineering Failure Analysis

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“…The result shows that PSO is more superior in both accuracy level and computational cost. Ho et al [11] combined a proposed hybrid algorithm with Morris method to update FE model of a cable-stayed bridge with high accuracy and reduced calculation time. Nguyen et al [12] further applied GA beyond model updating of truss bridge and combine with ANN to detect damage on the structure successfully.…”

Section: Introductionmentioning

confidence: 99%

Finite Element Model Updating of Lifeline Truss Bridge Using Vibration-Based Measurement Data and Balancing Composite Motion Optimization

Ngoc-Nguyen

Khatir

Ngoc-Tran

et al. 2021

Lecture Notes in Civil Engineering

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Located in the heart of Hanoi (Vietnam), Chuong Duong bridge is a major truss bridge that connects one of the most heavily trafficked routes in the countrythe 1A National road. Being built in the 80s of the twentieth century, after nearly 40 years of service, degradation and damages have threatened the integrity and safety of the structure. Physical and numerical evaluation of the bridge is required for the maintenance process. In this paper, we proposed a new approach to model updating of Chuong Duong bridge using vibration-based measurement data and Balancing Composite Motion Optimization (BCMO). BCMO is a newly developed metaheuristic optimization algorithm based on individual's balancing composite motion properties which has proved to provide highly-accurate result in determining the optimal solution in mathematical problem. BCMO is applied to update the different parameters of the baseline numerical model of Chuong Duong bridge, followed by comparing the obtained dynamic properties of the updated bridge with the measured one. The final result shows that BCMO has comprehensively updated the model with a high level of accuracy, thus could be potential used to solve practical problems of lifeline structures.

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Determination of the Effective Stiffness of Half-Open Cross-Section Bars and Orthotropic Steel Deck of a Truss Bridge Using Model Updating

Cited by 2 publications

References 10 publications

An efficient stochastic-based coupled model for damage identification in plate structures

An efficient stochastic-based coupled model for damage identification in plate structures

Finite Element Model Updating of Lifeline Truss Bridge Using Vibration-Based Measurement Data and Balancing Composite Motion Optimization

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