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Intelligent optimization method for complex steel structures based on internal force state
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AI
DOI：10.1016/j.jcsr.2024.108732.png)
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Abstract
En 中文
Complex long-span spatial structure is widely used in large public buildings. Due to its huge workload in the structural design process, taking into account the economy and safety of the structure at the same time has become the critical problem in the structural optimal design. In this paper, the intelligent algorithm based on full stress criterion and grey wolf optimization is proposed to optimize the complex long-span spatial structure. A typical complex large-span spatial actual structure, the main venue of the 19th Asian Games-Hangzhou Olympic Sports Center Stadium, is used to study the effectiveness of proposed intelligent optimization algorithms. After optimization, compared with the original structural design scheme, the material cost is reduced by 21.81%, the optimization efficiency is improved by >10 times, and the components' strength, stability and structural stiffness requirements comply with design codes. The optimization method shows advantages in terms of optimal results and computational costs. Based on the importance analysis of generalized structural stiffness, the importance of the structure before and after optimization is compared. The results indicate that after optimization, the importance order of substructures remains unchanged, while the importance among substructures becomes more uniform.
Keywords:
Complex long-span spatial structure
Intelligent optimization
Full stress criterion
Grey wolf optimization
Importance analysis
Journal
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