Optimization of Meshless Local Petrov-Galerkin Parameters using Genetic Algorithm for ۳D Elasto-static Problems (TECHNICAL NOTE)

سال انتشار: 1390
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 186

فایل این مقاله در 11 صفحه با فرمت PDF قابل دریافت می باشد

این مقاله در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_IJE-24-8_005

تاریخ نمایه سازی: 17 بهمن 1400

چکیده مقاله:

A truly Meshless Local Petrov-Galerkin (MLPG) method is developed for solving ۳D elasto-static problems. Using the general MLPG concept, this method is derived through the local weak forms of the equilibrium equations, by using a test function, namely, the Heaviside step function. The Moving Least Squares (MLS) are chosen to construct the shape functions. The penalty approach is used to impose essential boundary conditions. The complete study of the effects of radius of support domain on the accuracy and efficiency of the solution is performed. The values of this parameter leave a great effect on runtime and accuracy. The Genetic Algorithm (GA) is used to determine the optimum values of this MLPG parameter to minimize the runtime and maximize the accuracy. Several numerical examples are included to demonstrate that the present method is very promising for solving the elasto-elastic problems. 

کلیدواژه ها:

نویسندگان

Rouhollah Ehsany

mechanical engineering, Guilan University

Ahmad Bagheri

Mechanical Engineering, University of Guilan

Mohammad Javad Mahmoodabadi

Mechanical Engineering, Sirjan University of Technology

Gholam hosein Baradaran

mechanical engineering, Shahid Bahonar University