کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
510589 865776 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Non-parametric shape optimization method for natural vibration design of stiffened shells
ترجمه فارسی عنوان
روش بهینه سازی شکل غیر پارامتری برای طراحی ارتعاشات طبیعی پوسته های سخت شده
کلمات کلیدی
ارتعاش طبیعی، حداکثر سازی عدد صحیح، بهینه سازی حجم، بهینه سازی شکل، غیر پارامتری، پوسته سخت
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• A non-parametric shape optimization method is proposed for natural vibration problems of stiffened thin-walled structures.
• Solutions are given to deal with a specified eigenvalue maximization problem and its reciprocal volume minimization problem.
• Mesh smoothing is implemented simultaneously with shape updating.
• It can be easily implemented in combination with a commercial FEM code.

In this paper, we newly present an effective shape optimization method for natural vibration design of stiffened thin-walled or shell structures. Both the stiffeners and their basic structures are optimized by solving two kinds of optimization problems. The first is a specified eigenvalue maximization problem subject to a volume constraint, and the second is its reciprocal volume minimization problem subject to a specified eigenvalue constraint. The boundary shapes of a thin-walled structure are determined under the condition where the stiffeners and the basic structure are movable in the in-plane direction to their surface. Both problems are formulated as distributed-parameter shape optimization problems, and the shape gradient functions are derived using the material derivative method and the adjoint variable method. The optimal free-boundary shapes are determined by applying the derived shape gradient function to the H1H1 gradient method for shells, which is a parameter-free shape optimization method proposed by one of the authors. Several design examples are presented to validate the proposed method and demonstrate its practical usages.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Structures - Volume 146, January 2015, Pages 20–31
نویسندگان
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