ارائه‌ی الگوریتم‌های بهینه‌سازی کارا با استفاده از روش رشد سازگار بیولوژیکی

نوع مقاله : پژوهشی

نویسندگان

دانشگاه فردوسی مشهد

چکیده

تاکنون روش‌های مختلفی برای بهینه‌سازی شکل و ساختار سازه‌های مکانیکی با الهام از رفتار طبیعت تدوین گردیده است. در این مقاله با استفاده از اصل رشد سازگار بیولوژیکی، دو الگوریتم برای بهینه‌سازی شکل و ساختار ارائه شده است. الگوریتم اول به یک صفحه‌ی سوراخ ‌دار و نیز یک فیلت و الگوریتم دوم به یک تیر مخروطی و نیز یک تیر با سطح مقطع متفاوت اعمال شده است. نتایج نشان می‌دهد که عمر خستگی صفحه‌ی سوراخ ‌دار تا 40 برابر افزایش و تنش‌های ماکزیمم فیلت نسبت به نتایج دیگر پژوهشگران 6درصد کاهش یافته است. هم‌چنین این الگوریتم می‌تواند حجم سازه را به‌ طور قابل توجهی کاهش دهد.

کلیدواژه‌ها


عنوان مقاله [English]

Development of Robust Optimization Algorithms Based on Adaptive Biological Growth Method

نویسندگان [English]

  • S.M.H. Jazayeri
  • M.H. Abolbashari
چکیده [English]

Many shape and topology optimization methods have been inspired from the nature. In this paper, two different optimization algorithms based on the adaptive biological growth (ABG) have been applied to some structural elements. The first algorithm is developed for the shape optimization and is applied to a plate with a central hole as well as a fillet plate. The second algorithm is the soft kill option (SKO) that is applied to a cone cantilever beam and a beam with variable cross section where the optimum topology of them are sought. The results show that the fatigue life of the plate with a central hole is increased by 40 times. Also, the maximum normalized first principle stress is 6% lower and finally, the volume of the optimum structure is less than those obtained by other researchers.

کلیدواژه‌ها [English]

  • Shape Optimization
  • Topology Optimization
  • Adaptive Biological Growth
  • Fatigue Life
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