TEKİL TEMELLERİN OPTİMUM TASARIMINDA GENETİK ALGORİTMA KULLANIMI

Bu çalısmada, tekil temellerin optimum geometrik boyutlarının bulunması için, bir Genetik Algoritma (GA) programı gelistirilmistir. Tekil temellerin boyutlarının el veya bilgisayarlı çözümlerinde, tecrübeli bir tasarımcı tarafından baslangıçta yaklasık temel boyutlarının tahmin edilmesi zorunlulugu bulunmaktadır. Baslangıç temel boyutlarının tahmininden sonra, uzun zaman alan deneme-yanılma prosedürü takip edilerek boyutlar bulunmaktadır. Gelistirilen GA programında baslangıç temel boyutlarının tahmin edilmesine gerek kalmadan, tekil temel hacmi minimize edilerek, en uygun temel boyutları çok kısa sürede bulunmaktadır. Klasik metotların aksine, GA temel taban boyutları ile yüksekligini eszamanlı olarak hesaplamaktadır.

Anahtar Kelimeler:

Genetik algoritma, Tekil temel, Tasarım.

OPTIMUM PAD FOOTING DESIGN BY USING GENETIC ALGORITHM

In this study, a Genetic Algorithm (GA) has been developed in order to find the optimum geometrical sizes in pad footing design. In the solutions of pad footing sizes found by manually or/and software, there is a required assumption of pad footing sizes held by an experienced designer at the beginning. After the assumption of the initial pad footing sizes, the exact sizes have been determined by a time consuming trial and error process. In the developed GA software without the requirement in the assumption of initial pad footing sizes, the most suitable pad footing sizes has been determined within a short period by minimizing the pad footing volume. In contrast to classical methods, developed GA has simultaneously and relationally calculated the pad footing base sizes and its height.

Keywords:

Genetic algorithm, Pad footing, Design.,

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