Finite element model updating of a multispan bridge with a hybrid metaheuristic search algorithm using experimental data from wireless triaxial sensors

Tran-Ngoc, H.; Khatir, Samir; Le-Xuan, T.; Roeck, Guido De; Bui-Tien, Thanh; Wahab, Magd Abdel

doi:10.1007/s00366-021-01307-9

Cited by 32 publications

(6 citation statements)

References 31 publications

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“…Experimental measurements serve as the baseline for FE model updating. With advances in sensing technology, dynamic responses (such as acceleration and displacement) of structures can be accurately measured through vibration experiments [8,9]. These responses, along with the extracted modal properties, provide valuable information about the structural properties of interest, such as stiffness, damping, and mass.…”

Section: Introductionmentioning

confidence: 99%

A Unified Approach for Time and Frequency Domain Finite Element Model Updating

Li,

Zhou,

2024

Preprint

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Reliable finite element (FE) models play a vital role in accurately predicting structural behaviors under various loading conditions in structural engineering applications. This paper presents a unified approach for solving both time and frequency domain FE model updating problems. In this approach, both types of problems are formulated as stochastic dynamic systems with embedded parameter-to-data maps, enabling the estimation of unknown model parameters. The unscented Kalman method is employed as an effective tool to solve these dynamic systems and update the parameters. Additionally, this study addresses specific settings within FE model updating, including constraints implementation, covariance inflation, and sparsity regularization. Constraints on estimated parameters are effectively incorporated, ensuring adherence to predefined bounds. Covariance inflation techniques are applied to account for uncertainties not accurately captured by assumed covariance matrices. Moreover, sparsity regularization techniques are introduced to promote sparsity in estimated parameters, facilitating more accurate and interpretable results for special applications such as damage identification. The proposed unified approach is numerically verified through extensive simulations. The results demonstrate the effectiveness and reliability of the approach in accurately estimating the unknown parameters of FE models for structural engineering applications.

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Section: Introductionmentioning

confidence: 99%

A Unified Approach for Time and Frequency Domain Finite Element Model Updating

Li,

Zhou,

2024

Preprint

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“…This current work represents several novelty features as compared to our previous work, such as unified treatments of transportation networks (using line elements) and finite element (FE) meshes (using triangular, tetrahedral, brick elements) that can be performed through transforming the original network (or FE mesh) into a pseudo-transportation network which only uses line elements. While different partitioning algorithms [21][22][23][24] and current advanced optimisation algorithms [25][26][27] have been reported in the literature, our work will focus on the comparisons with the METIS algorithm/software [21] (since METIS has been most widely used by researchers around the world).…”

Section: Introductionmentioning

confidence: 99%

Optimal Domain-Partitioning Algorithm for Real-Life Transportation Networks and Finite Element Meshes

Bhagatji

Asundi

Thompson

et al. 2023

Designs

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For large-scale engineering problems, it has been generally accepted that domain-partitioning algorithms are highly desirable for general-purpose finite element analysis (FEA). This paper presents a heuristic numerical algorithm that can efficiently partition any transportation network (or any finite element mesh) into a specified number of subdomains (usually depending on the number of parallel processors available on a computer), which will result in “minimising the total number of system BOUNDARY nodes” (as a primary criterion) and achieve “balancing work loads” amongst the subdomains (as a secondary criterion). The proposed seven-step heuristic algorithm (with enhancement features) is based on engineering common sense and observation. This current work has the following novelty features: (i) complicated graph theories that are NOT needed and (ii) unified treatments of transportation networks (using line elements) and finite element (FE) meshes (using triangular, tetrahedral, and brick elements) that can be performed through transforming the original network (or FE mesh) into a pseudo-transportation network which only uses line elements. Several examples, including real-life transportation networks and finite element meshes (using triangular/brick/tetrahedral elements) are used (under MATLAB computer environments) to explain, validate and compare the proposed algorithm’s performance with the popular METIS software.

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“…Besides, FEM updating is an active track in terms of SHM, and the novel methodologies are subsequently expanded by some researchers. For instance, the innovative FEM updating techniques were implemented to large-scale structures by Tran-Ngoc et al [26], Ho et al [27], Hoa et al [28], Rezaiee-Pajand et al [29], Pan et al [30], and Zhu et al [31]. According to the literature review, the FEM-updating methods are mainly divided into two categories: I) direct methods II) iterative methods.…”

Section: Introductionmentioning

confidence: 99%

The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020)

Ghannadi

Kourehli

Mirjalili

2022

Frattura Ed Integrità Strutturale

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The structural health monitoring (SHM) approach plays a key role not only in structural engineering but also in other various engineering disciplines by evaluating the safety and performance monitoring of the structures. The structural damage detection methods could be regarded as the core of SHM strategies. That is because the early detection of the damages and measures to be taken to repair and replace the damaged members with healthy ones could lead to economic advantages and would prevent human disasters. The optimization-based methods are one of the most popular techniques for damage detection. Using these methods, an objective function is minimized by an optimization algorithm during an iterative procedure. The performance of optimization algorithms has a significant impact on the accuracy of damage identification methodology. Hence, a wide variety of algorithms are employed to address optimization-based damage detection problems. Among different algorithms, the particle swarm optimization (PSO) approach has been of the most popular ones. PSO was initially proposed by Kennedy and Eberhart in 1995, and different variants were developed to improve its performance. This work investigates the objectives, methodologies, and results obtained by over 50 studies (2005-2020) in the context of the structural damage detection using PSO and its variants. Then, several important open research questions are highlighted. The paper also provides insights on the frequently used methodologies based on PSO, the computational time, and the accuracy of the existing methodologies.

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Finite element model updating of a multispan bridge with a hybrid metaheuristic search algorithm using experimental data from wireless triaxial sensors

Cited by 32 publications

References 31 publications

A Unified Approach for Time and Frequency Domain Finite Element Model Updating

A Unified Approach for Time and Frequency Domain Finite Element Model Updating

Optimal Domain-Partitioning Algorithm for Real-Life Transportation Networks and Finite Element Meshes

The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020)

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