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<p>With the rapid development of science and technology, the traditional construction industry is facing the urgent need for transformation and upgrading, and how to achieve the performance optimization of the assembly building frame has become an urgent problem to be solved. The research constructs the antique assembly building frame using BIM technology and uses a Matlab genetic algorithm to optimize the model of the building frame. The efficacy of the optimized assembly building is analyzed, and the safety performance of the BIM-Matlab frame building proposed in this paper is compared with that of the traditional frame building and the anti-buckling frame building to explore the effectiveness of the performance optimization of the BIM-Matlab frame building. The values of the structural non-lateral stiffness ratio of the BIM-Matlab assembly building are all greater than or equal to 1, and the seismic shear weight ratio meets the requirements. The displacement ratio and inter-story displacement ratio meet the code requirements under all working conditions. The building foundation’s zero stress zone is 0.00%, and the minimum stiffness-to-weight ratio value of 38.69 is enough to pass the overturning resistance and stability test. The BIM-Matlab framed building can endure earthquakes with greater intensity and safety reserves than conventional framed buildings and anti-flexural framed buildings, which are more secure in earthquakes.</p>
</abstract>

With the rapid development of science and technology, the traditional construction industry is facing the urgent need for transformation and upgrading, and how to achieve the performance optimization of the assembly building frame has become an urgent problem to be solved. The research constructs the antique assembly building frame using BIM technology and uses a Matlab genetic algorithm to optimize the model of the building frame. The efficacy of the optimized assembly building is analyzed, and the safety performance of the BIM-Matlab frame building proposed in this paper is compared with that of the traditional frame building and the anti-buckling frame building to explore the effectiveness of the performance optimization of the BIM-Matlab frame building. The values of the structural non-lateral stiffness ratio of the BIM-Matlab assembly building are all greater than or equal to 1, and the seismic shear weight ratio meets the requirements. The displacement ratio and inter-story displacement ratio meet the code requirements under all working conditions. The building foundation’s zero stress zone is 0.00%, and the minimum stiffness-to-weight ratio value of 38.69 is enough to pass the overturning resistance and stability test. The BIM-Matlab framed building can endure earthquakes with greater intensity and safety reserves than conventional framed buildings and anti-flexural framed buildings, which are more secure in earthquakes.

Optimization of antique assembly building frame construction based on BIM technology and Matlab genetic algorithm

Henan University of Science and Technology

Department of Electrical and Computer Engineering

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

With the rapid development of science and technology, the traditional construction industry is facing the urgent need for transformation and upgrading, and how...

Optimization of antique assembly building frame construction based on BIM technology and Matlab genetic algorithm

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 26. März 2024

Akzeptiert: 20. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-1985

Schlüsselwörter
BIM technology, Matlab algorithm, Assembly building, Building optimization

© 2024 Han Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Optimization of antique assembly building frame construction based on BIM technology and Matlab genetic algorithm

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 26. März 2024

Akzeptiert: 20. Juni 2024

DOI: https://doi.org/10.2478/amns-2024-1985

SchlüsselwörterBIM technology, Matlab algorithm, Assembly building, Building optimization

© 2024 Han Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
BIM technology, Matlab algorithm, Assembly building, Building optimization