Aerodynamic stability parameters optimization and global sensitivity analysis for a cable stayed Bridge

Nariman, Nazim Abdul

doi:10.1007/s12205-016-0962-y

Cited by 12 publications

(3 citation statements)

References 83 publications

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“…In addition, compared with long-span cable-stayed bridges, the different mechanical behaviors of these two types of bridges were further explored [28]. Nariman [29] took a cable-stayed bridge as a case-study for a global sensitivity analysis based on the Monte Carlo sampling method, adopted to formulate the surrogate models and the sensitivity indices. With this method, it is useful to identify the rational effect and role of each parameter on the aerodynamic stability of structures.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Seismic Sensitivity Analyses of High-Speed Railway Extradosed Cable-Stayed Bridges

et al. 2023

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It is known that the extradosed cable-stayed bridge, a hybrid bridge, possesses the virtues of both classic cable-stayed bridges and girder bridges in mechanical behaviors. In this paper, the sensitivity of seismic fragility demand parameters (SFDP) of a high-speed railway extradosed cable-stayed bridge is studied systematically along with the consideration of structural parameter uncertainty. Based on the probability distribution and correlation of random parameters, the Latin hypercube sampling method is adopted herein. The dynamic 3D finite element model of the employed bridge is established by using powerful and attractive OpenSEES nonlinear software. A nonlinear incremental dynamic analysis is performed to consider the randomness of structural parameters using sampling analysis. Some important conclusions are drawn indicating that the structural design parameter uncertainty predominantly has influence on the SFDP for fragility analysis of bridge structures. The design parameters of extradosed cable-stayed bridges are categorized and identified as primary, secondary and insensitive parameters. The high sensitivity parameters of extradosed cable-stayed bridges for fragility analysis include friction coefficient of bearing, concrete bulk density, damping ratio, peak compressive strength of confined concrete, component size and peak strain of confined concrete. Additionally, the strength and strain of unconfined concrete cannot be ignored. Furthermore, the uncertainty of structural design parameters fails to be responsible for the cable force responses due to larger girder stiffness. The structural design parameter uncertainty has a significant influence on the responses of extradosed cable-stayed bridges for seismic fragility analysis.

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Section: Introductionmentioning

confidence: 99%

Probabilistic Seismic Sensitivity Analyses of High-Speed Railway Extradosed Cable-Stayed Bridges

et al. 2023

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“…[32][33][34][35] However, the interaction between factors cannot be reflected in the analysis results, due to the lack of global sensitivit consideration. [36][37][38] Therefore, it is very important to quantitatively evaluate the coupling relationship between reliability indicators and complex influencing factors precisely. Not only the local sensitivity, but also the global sensitivity should be taken into account.…”

Section: Introductionmentioning

confidence: 99%

Influence of coupling factors on structural reliability based on polynomial response surface optimization model

Jiang

Wang

Chen

et al. 2023

Advances in Mechanical Engineering

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The sensitivity analysis model is frequently used to express the influence of conditional elements on structural reliability. However, the traditional sensitivity analysis model is limited to a few influencing factors, and has a small scope of application. In this paper, a modified sensitivity model is proposed by combining the optimal polynomial response surface function with the Sobol sensitivity algorithm. And the sensitivity calculation approach was combined with coupling factor test design, range verification, multi-body dynamics analysis and structural statics analysis, which enables to achieve the quantitative sensitivity value of the influence of conditional factors on structural reliability. Finally, a typical harvester structure is selected as a case, to verify the evaluation accuracy and effectiveness of the revised model. The results show that the sensitivity of threshing drum speed has the greatest influence, while the sensitivity of granary load has the least influence. The average quantitative prediction accuracy of revised approach is up to 97.36%. The revised model can accurately evaluate the sensitivity value of coupled influencing factors for industrial equipment.

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“…Representative examples of applied GSA in structural mechanics include the analysis of cable-stayed bridges using the method of Sobol' (Nariman, 2017), structural vibration of a nuclear reactor using the global Fourier amplitude sensitivity method (Banyay et al, 2020), thrust force ripple analysis of linear switched reluctant motors using the method of Sobol' (Chen et al, 2021), and a demonstrative article where finite element methods and GSA are used to evaluate models pertaining to vehicle impact, blast containment vessels, spinal impact injuries, and space shuttle flow liners (Thacker et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of global sensitivity analysis methods for computational structural mechanics problems

Crusenberry,

Sobey,

TerMaath

2023

DCE

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The curse of dimensionality confounds the comprehensive evaluation of computational structural mechanics problems. Adequately capturing complex material behavior and interacting physics phenomenon in models can lead to long run times and memory requirements resulting in the need for substantial computational resources to analyze one scenario for a single set of input parameters. The computational requirements are then compounded when considering the number and range of input parameters spanning material properties, loading, boundary conditions, and model geometry that must be evaluated to characterize behavior, identify dominant parameters, perform uncertainty quantification, and optimize performance. To reduce model dimensionality, global sensitivity analysis (GSA) enables the identification of dominant input parameters for a specific structural performance output. However, many distinct types of GSA methods are available, presenting a challenge when selecting the optimal approach for a specific problem. While substantial documentation is available in the literature providing details on the methodology and derivation of GSA methods, application-based case studies focus on fields such as finance, chemistry, and environmental science. To inform the selection and implementation of a GSA method for structural mechanics problems for a nonexpert user, this article investigates five of the most widespread GSA methods with commonly used structural mechanics methods and models of varying dimensionality and complexity. It is concluded that all methods can identify the most dominant parameters, although with significantly different computational costs and quantitative capabilities. Therefore, method selection is dependent on computational resources, information required from the GSA, and available data.

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Aerodynamic stability parameters optimization and global sensitivity analysis for a cable stayed Bridge

Cited by 12 publications

References 83 publications

Probabilistic Seismic Sensitivity Analyses of High-Speed Railway Extradosed Cable-Stayed Bridges

Probabilistic Seismic Sensitivity Analyses of High-Speed Railway Extradosed Cable-Stayed Bridges

Influence of coupling factors on structural reliability based on polynomial response surface optimization model

Evaluation of global sensitivity analysis methods for computational structural mechanics problems

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