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The life-cycle cost analysis based on probabilistic optimization using a novel algorithm
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DOI：10.1016/j.jobe.2021.103032.png)
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Abstract
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Life-cycle cost analysis (LCCA) in combination with structural optimization is a reliable procedure for performance evaluation of structures during their lifetime. The Endurance Time, which is a dynamic analysis method, requires low computation efforts, unlike other commonly related methods. The population-based, stochastic search algorithm based on the ideal gas molecular movement (IGMM) has established its capability in solving complex numerical and engineering problems. Therefore, the LCCA-based probabilistic optimization of a 3D RC structure is carried out based on the FEMA-P-58 using the ET method and the IGMM algorithm to find the global optimum design. The results show that the repair costs of flexural connections and structural elements have the largest share in the life cycle costs because these elements, especially flexural connections, play an essential role in the damage of structures under seismic loads. Based on the results, the use of the optimization process leads to the proper distribution of materials in the structures, and also it can reduce the lifetime repair costs by 12% and the total construction costs by 8.5% without increasing the initial costs of construction.
Keywords:
Probabilistic optimization
Ideal gas molecular movement algorithm
Endurance time method
3D reinforcement concrete structures
Monte Carlo method
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