کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
498268 862983 2014 23 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Finite element modeling of linear elastodynamics problems with explicit time-integration methods and linear elements with the reduced dispersion error
ترجمه فارسی عنوان
مدل سازی عنصر محدود از مشکلات الاستودینامیک خطی با روش های زمان بندی صحیح و عناصر خطی با خطای پراکندگی کاهش یافته
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی

We have developed two finite element techniques with reduced dispersion for linear elastodynamics that are used with explicit time-integration methods. These techniques are based on the modified integration rule for the mass and stiffness matrices and on the averaged mass matrix approaches that lead to the numerical dispersion reduction for linear finite elements. The analytical study of numerical dispersion for the new techniques is carried out in the 1-D, 2-D and 3-D cases. The numerical study of the efficiency of the dispersion reduction techniques includes the two-stage time-integration approach with the filtering stage (developed in our previous papers) that quantifies and removes spurious high-frequency oscillations from numerical results. We have found that in contrast to the standard linear elements with explicit time-integration methods and the lumped mass matrix, the finite element techniques with reduced dispersion yield more accurate results at small time increments (smaller than the stability limit) in the 2-D and 3-D cases. The recommendations for the selection of the size of time increments are suggested. The new approaches with reduced dispersion can be easily implemented into existing finite element codes and lead to significant reduction in computation time at the same accuracy compared with the standard finite element formulations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Methods in Applied Mechanics and Engineering - Volume 271, 1 April 2014, Pages 86–108
نویسندگان
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