A novel optimization algorithm named teaching-learning-based optimization (TLBO) algorithm and its implementation procedure were presented in this paper. TLBO is a meta-heuristic method, which simulates the phenomenon in classes. TLBO has two phases: teacher phase and learner phase. Students learn from teachers in teacher phases and obtain knowledge by mutual learning in learner phase. The suit...

This paper presents a hybrid geometric modeling method to create CAD models of large-scale conformal cellular structures effectively and efficiently. Cellular material structures can be engineered at the mesoscopic scale for high performance and multifunctional capabilities. One type of cellular structure is conformal lightweight truss. A simple method of constructing models of uniform trusses ...

Abstract Avoidance of disproportionate and progressive collapse, often termed ‘fail-safe design’, is a key consideration in the design buildings infrastructure. This paper addresses problem fail-safe truss topology optimization setting plastic design, where damage defined as moveable circular region which members are considered to have zero strength for that particular load case. A rigorous com...

Due to the complex structural issues and increasing number of design variables, a rather fast optimization algorithm to lead to a global swift convergence history without multiple attempts may be of major concern. Genetic Algorithm (GA) includes random numerical technique that is inspired by nature and is used to solve optimization problems. In this study, a novel GA method based on self-a...