Optimizing Reinforced Concrete Cantilever Retaining Walls Using Gases Brownian Motion Algorithm (GBMOA)
作者： Mahmoud Ghazavi , Samane Laali , Mehdi Shalchi Tousi
DOI: 10.22115/SCCE.2021.248638.1256
关键词:
摘要: In this paper, the cost and weight of reinforcement concrete cantilever retaining wall are optimized using Gases Brownian Motion Optimization Algorithm (GBMOA) which is based on gas molecules motion. To investigate optimization capability GBMOA, two objective functions considered verification made available solutions for design. Furthermore, effect geometries walls their investigated four different T-shape walls. Besides, sensitivity analyses effects backfill slope, stem height, surcharge, unit carried out soil. Moreover, Rankine Coulomb methods lateral earth pressure calculation used results compared. The GBMOA predictions compared with those in literature. It has been shown that use reducing significantly addition, can reduce
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