Penerapan Algoritma Genetika dalam Optimalisasi Topologi Struktur Rangka Atap Baja
DOI:
https://doi.org/10.53863/teksling.v4i01.1560Keywords:
Genetic algorithm, structural topology optimization, steel roof frame, SNI 1729-2020, W/areaAbstract
This study applies genetic algorithms to optimize the topology of a steel roof frame structure. Structural optimization aims to minimize weight by selecting combinations of design variables that determine the topology of the structure. The structure must meet the allowable stress and displacement constraints. There are eight variables in the geometry of the structure, namely: (1) purlin cross-section, (2) number of segments, (3) mid-span height, (4) frame cross-section for the lower chord group, (5) frame cross-section for the upper chord group, (6) frame cross-section for the vertical member group, (7) frame cross-section for the diagonal member group, and (8) roof slope angle. The steel construction design standard follows SNI 1729-2020 concerning "Specifications for Structural Steel Buildings." Optimization is performed on the steel roof frame structure with a triangular, symmetrical geometry and a determinate static structure. Each type of roof is optimized based on span width (Lb), and the span width is further optimized based on the distance between trusses (Lk) to obtain the lowest weight per area (W/area) for each span. Subsequently, the relationship between W/area and Lb for the optimal roof structure is formulated
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