Teaching learning based optimization algorithm for analyses of trusses considering elastoplastic behavior
نویسنده
چکیده
Total Potential Optimization using Meta-heuristic Algorithms (TPO/MA) is an analyses technique developed by implementation of metaheuristic algorithms for finding an equilibrium state of a structural system according to the well-known principle of minimum total potential energy. According to this theory, a system is in equilibrium state only if total potential energy of it which means sum of the strain energy and work done by external loads is minimum. This paper presents a methodology for TPO/MA analyses of truss structures considering elastoplastic behavior of material and geometrical nonlinear behavior of system. Methodology is developed based on one of the recently proposed metaheuristic algorithm called teaching learning based optimization (TLBO) method. In order to put for the effectiveness or ineffectiveness of presented method for problem, results are compared with existing ones from the literature. According to results, TLBO is more effective in computational cost than others. Key-Words: meta-heuristics; teaching learning based optimization; total potential optimization method; TPO/MA; truss structures; elastoplastic.
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