Substructuring-based dimension-reduction approach for efficient design optimization of high-rise buildings

Abstract

Economic and safe structural design of high-rise buildings is a high-dimensional optimization problem. Finding the globally optimal solution is challenging, and analysis, design and optimization are very time consuming. This article proposes a new approach, where the search space dimension is reduced through substructuring. The high-dimensional high-rise building optimization problem is converted to a set of low-rise building optimization subproblems of lower dimensions. The subproblems are iteratively solved instead of the original problem. The substructures are analysed and optimally designed, one after another, until convergence, taking into account the effects of other parts of the building to maintain the building’s integrity. Thus, the analysis of a high-rise building is accomplished by analysing a set of low-rise building substructures. Concurrently, the high-dimensional optimization problem is solved through some low-dimensional subproblems. Therefore, building analysis, design and optimization are conducted simultaneously. To demonstrate the efficiency and robustness of the approach, examples from the literature aresolved.

KEYWORDS:

• Reaction deformation transmission
• steel frame
• size optimization
• meta-heuristics
• high-dimensional problem
• minimum weight

Disclosure statement

No potential conflict of interest was reported by the author.

Data availability statement

The author confirms that the data supporting the findings of this study are available within the article and its supplementary materials.