Buckling Restrained Sizing and Shape Optimization of Truss Structures

Varma, T. Venkatesh; Sarkar, Saikat; Mondal, Goutam

doi:10.1061/(asce)st.1943-541x.0002590

Cited by 9 publications

(2 citation statements)

References 32 publications

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“…For large construction machinery such as excavators and bridge inspection vehicles, in most cases, their structural optimization design goal is to minimize the weight of the structure as much as possible while meeting the stress requirements, thereby improving the operational efficiency of the mechanical structure, saving energy and reducing emissions, and reducing construction risks caused by excessive mechanical self-weight [7][8][9]. As an important part of transport infrastructure, bridges play an irreplaceable role in maintaining traffic safety and ensuring economic development [10][11][12]. Periodic inspection and maintenance are essential during the operation of bridges [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Optimization Design of Bridge Inspection Vehicle Boom Structure Based on Improved Genetic Algorithm

Xue¹,

Lv²,

Qiu³

2023

IJACSA

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Excessive self-weight of bridge inspection vehicles increases the safety risk of the inspected bridge structures. In this study, a bridge inspection vehicle arm structure self-weight optimization design model is proposed to improve the efficiency and safety of bridge structure inspection. The model uses a finite element model of the arm structure to generate force data to validate and train a back propagation (BP) neural network-based self-weight prediction model of the arm structure, and uses an improved genetic algorithm to assist the prediction model in searching for the optimal solution. The experimental results show that the maximum stress and maximum deformation of the optimal solution from the optimization model designed in this study are lower than the allowable values of the material, and the total weight of the structure from the optimal solution is the lowest, 4687.5 kg. The computational time of the optimization model designed in this study is lower than all the comparison models. The experimental data show that the optimized model for the self-weight optimization of the bridge inspection vehicle arm structure designed in this study has good optimization effect and has some application potential.

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Section: Introductionmentioning

confidence: 99%

Optimization Design of Bridge Inspection Vehicle Boom Structure Based on Improved Genetic Algorithm

Xue¹,

Lv²,

Qiu³

2023

IJACSA

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“…Kaur et al (2016) studied the influence of the variation of geometric arrangements in the design of roof trusses, using steel profiles with angle sections; the authors studied the effects of different spacing, span, and pitches, to determine the most financially efficient truss. Kaveh & Zaerreza (2020) used a multicommunity metaheuristic optimization algorithm, named shuffled shepherd optimization algorithm (SSOA), for size and layout optimization of truss structures, the SSOA was inspired by mimicking the herding behavior of shepherds and Varma et al (2020) presented an integrated strategy for sizing and shape optimization of truss structures, considering buckling restrictions implicitly into truss design.…”

mentioning

confidence: 99%

Computational methodology for the optimal design of steel truss frames integrating MATLAB and FEA platforms

et al. 2023

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Seeking to define more robust and executable structures, this article presents a computational framework for the optimal design of steel truss frames, which integrates two software of great prominence in structural engineering, MATLAB and ANSYS. Computational interfaces were created to enable the automation of the iterative optimization process. The optimization algorithm and computational interfaces were developed on the MATLAB platform, while structural analyses were performed with the ANSYS Mechanical APDL platform. Some details of the computational implementation are presented herein. The objective is to minimize the cost of structures by determining the optimal positioning of nodal coordinates and the optimal choice of commercially available structural profiles -shape and size optimization, respectively. For shape optimization, a computational model was defined to automatically generate the geometry of the structure, maintaining some intrinsic relations of symmetry and collinearity between elements. The design constraints are critical nodal displacements, stresses, and slenderness of elements, following the requirements of ABNT NBR 8800:2008. To exemplify the application of the proposed methodology, this article presents the optimal design of trusses for roofs of industrial sheds, considering its non-linear geometric behavior, typical of this type of structure.

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CI-SAPF for Structural Optimization Considering Buckling and Natural Frequency Constraints

Kale

Khedkar

2023

Engineering Optimization: Methods and Applications

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Buckling Restrained Sizing and Shape Optimization of Truss Structures

Cited by 9 publications

References 32 publications

Optimization Design of Bridge Inspection Vehicle Boom Structure Based on Improved Genetic Algorithm

Optimization Design of Bridge Inspection Vehicle Boom Structure Based on Improved Genetic Algorithm

Computational methodology for the optimal design of steel truss frames integrating MATLAB and FEA platforms

CI-SAPF for Structural Optimization Considering Buckling and Natural Frequency Constraints

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