Truss Optimization using Imperialist Competition Algorithm and Particle Swarm Optimization Techniques
محل انتشار: هشتمین کنفرانس بین المللی پژوهش در علوم و مهندسی و پنجمین کنگره بین المللی عمران، معماری و شهرسازی آسیا
سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 37
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شناسه ملی سند علمی:
ICRSIE08_392
تاریخ نمایه سازی: 18 فروردین 1403
چکیده مقاله:
In civil engineering, structure optimization means designing structures in a way that technical
problems are considered and, at the same time, minimum costs are imposed on construction. Due to
their various applications, truss structures have found increasing importance. As a result of increasing
importance attached to lightness of structures and the problems associated with such structures during
construction, much research has been conducted on different truss weight optimization methods. Since
during optimization procedures, structural analysis must be repeated many times, i.e., while
optimization calculations are being performed in Matlab environment, it becomes necessary for
Matlab to refer to the structural analysis software repeatedly, the authors first used ANSYS to analyze
the trusses referred to in the presented examples and calculated the final truss volumes, maximum and
minimum stresses, and the maximum deflection at each node in the truss system. Afterwards, using the
required instructions, Matlab software, ICA (imperialist competition algorithms), and PSO (particle
swarm optimization) were linked to ANSYS. Subsequently, the best cross section for each truss
member as well as its optimum weight is calculated by considering relevant design constraints.
Finally, the presented optimization algorithms and their convergence during a certain time period are
compared. As it can be observed, depending on the type of truss used in them, the above methods can
produce better results.
کلیدواژه ها:
نویسندگان
Mehdi Shahraki
Department of Civil Engineering, Zahedan Branch, Islamic Azad University, Zahedan, Iran
Mohsen Naghzali
Department of Civil Engineering, Zahedan Branch, Islamic Azad University, Zahedan, Iran