Selection a proper layout of a structure can be considered as a challenge decision that facing the structural designer, this layout should withstand the applied loads based on different provisions, such as the allowable stress, the serviceability limit state and etc. The challenges will be increases when the cost and the duration of the construction are of vital importance. This paper demonstrates the use of an optimization tool based on a genetic algorithm in order to examine the effect of different loading values on a trusses response. Three design categories had been adopted in the evaluation; the size, the shape, and the topology that satisfies the relevant constraints given in the AISC-ASD-89 standard. For this reason, a traditional program under the name of GS-USA frame was employed. The program is judged based on the analysis of a benchmark truss, and by comparing the optimized a three well known trusses found in the literature that adopted different optimization techniques. The evaluation results showed that the genetic algorithm introduced a good optimization technique compared to other techniques. Although the GS-USA program was efficient in optimizing the weight, and the tensile stresses, however, the program stucked in compression stress. Analysis results showed that the weight, volume, and the members' stresses can be efficiently optimized for the suggested planer truss compared to Howe and Baltimore Trusses of the same span and bays, where the weight increments were slightly with increasing the load, and 57% of materials were saved, moreover the truss members were effectively stressed up to 74% of the allowable stress.
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Effect of Loading on Optimum Weight of Planer Trusses Using Genetic Algorithms
Semantic Scholar · Engineering · 2019
Abstract
Selection a proper layout of a structure can be considered as a challenge decision that facing the structural designer, this layout should withstand the applied loads based on different provisions, such as the allowable stress, the serviceability limit state and etc. The challenges will be increases when the cost and the duration of the construction are of vital importance. This paper demonstrates the use of an optimization tool based on a genetic algorithm in order to examine the effect of different loading values on a trusses response. Three design categories had been adopted in the evaluation; the size, the shape, and the topology that satisfies the relevant constraints given in the AISC-ASD-89 standard. For this reason, a traditional program under the name of GS-USA frame was employed. The program is judged based on the analysis of a benchmark truss, and by comparing the optimized a three well known trusses found in the literature that adopted different optimization techniques. The evaluation results showed that the genetic algorithm introduced a good optimization technique compared to other techniques. Although the GS-USA program was efficient in optimizing the weight, and the tensile stresses, however, the program stucked in compression stress. Analysis results showed that the weight, volume, and the members' stresses can be efficiently optimized for the suggested planer truss compared to Howe and Baltimore Trusses of the same span and bays, where the weight increments were slightly with increasing the load, and 57% of materials were saved, moreover the truss members were effectively stressed up to 74% of the allowable stress.