چكيده به لاتين
Abstract:
When space is required to cover large, unpaved areas such as sports stadiums, aircraft factories, bridges, etc., space structures are used. To reduce the weight of the structures is important in optimization process, and we can define this parameter as objective function in optimization algorithms. Reduce the cost of construction, reduce the deterioration the materials, and increase the possibility to use the larger span are the some of benefits of the optimization in design the space structures.
The use of meta-heuristic algorithms inspired by the physical laws of nature allows us to optimize a variety of complex problems. In this dissertation, by adding cables to Flat Double-Layer grids to design the roof for the lounge and hangar and optimize it with improved colliding bodies optmization algorithms and vibration particle optimization algorithm. The purpose of the optimization in this thesis is to minimize the weight of the structure as well as to reduce the center span. Double-layer grid elements and cables are design variables. The results show that adding the cables also reduces the structural weight of the various openings in the middle of the crater in addition to reducing the 18 and 28 percent of the structural weight. The research method is based on the relevance of the algorithms in MATLAB programming and SAP2000 finite element software, so that the structural analysis responses in finite element software are used by the optimized structural algorithms and this is done until Achieving optimal response is repeated. In all the investigated examples, ECBO algorithm performed better than VPS algorithm and the optimum weight was obtained by this algorithm.
Keywords: Optimization; Metaheuristic Algorithms; Double-Layer Grids; Objective Function; Cables
