OPTIMASI UKURAN PENAMPANG, TOPOLOGI, DAN BENTUK STRUKTUR PADA STRUKTUR RANGKA KUDA-KUDA ATAP BAJA DENGAN MENGGUNAKAN ALGORITMA GENETIKA

FRANS, RICHARD (2014) OPTIMASI UKURAN PENAMPANG, TOPOLOGI, DAN BENTUK STRUKTUR PADA STRUKTUR RANGKA KUDA-KUDA ATAP BAJA DENGAN MENGGUNAKAN ALGORITMA GENETIKA. Jurnal Magister Teknik Sipil. p.1-26.

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Abstract

There are so many ways for structural optimization, one of them is genetic algorithm as ‘tools’ of optimization. Genetic algorithm is a searching procedure and optimization based on natural selection (theory of Charles Darwin). Genetic algorithm used for practical problem which focused to search optimal parameter. In this paper, genetic algorithm had been used for searching optimal variables on roof truss. Size, shape, and topology are three variables which would be optimized. Benchmark problem is used for validating program optimization which had been made and the result would be compared with the previous result from other researcher. The result of benchmark problem showed that genetic algorithm is a good ‘tools’ for structural optimization, we can see that weight of structure is 2122,62 kg which become the best result compared by previous result from other researcher. Weight of structure for first model, second model, and third model of roof truss respectively are 325,9103 kg, 206,2781, and 1956,037 kg. Slenderness factor is a very influence factor for this three roof trusses optimization, it can be seen that actual displacement and actual stress are less compared with displacement limit and stress limit. In this cases (three cases), there are two loading condition, the first loading condition is subjected 200 kg each nodes, the second loading condition is based on structural configuration. The result of this two loading condition is almost similar, because actual stress and actual displacement for two loading condition is almost similar, thus weight of structures are same. Parameters of optimization and number of nodes become the determining factor for running time to reach the optimum variables such as size of properties, shape, and structural topology.

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