کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4965818 1448464 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-scale computational homogenisation to predict the long-term durability of composite structures
ترجمه فارسی عنوان
همگن سازی محاسباتی چند منظوره برای پیش بینی دوام طولانی مدت ساختارهای کامپوزیتی
کلمات کلیدی
همگن سازی محاسباتی چند مقیاس، تجزیه و تحلیل هیدرو ترمو مکانیکی، فیبر تقویت پلیمر، کامپوزیت نساجی، مدل تخریب، توابع پایه سلسله مراتبی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


- A coupled hygro-thermo-mechanical computational model for the FRP composites.
- Calculation of the macro-level constitutive matrices with multi-scale computational homogenisation.
- Development of degradation model from the experimental data of accelerated aging.
- Utilisation of unified RVE boundary conditions, hierarchic basis functions and high performance computing.

A coupled hygro-thermo-mechanical computational model is proposed for fibre reinforced polymers, formulated within the framework of Computational Homogenisation (CH). At each macrostructure Gauss point, constitutive matrices for thermal, moisture transport and mechanical responses are calculated from CH of the underlying representative volume element (RVE). A degradation model, developed from experimental data relating evolution of mechanical properties over time for a given exposure temperature and moisture concentration is also developed and incorporated in the proposed computational model. A unified approach is used to impose the RVE boundary conditions, which allows convenient switching between linear Dirichlet, uniform Neumann and periodic boundary conditions. A plain weave textile composite RVE consisting of yarns embedded in a matrix is considered in this case. Matrix and yarns are considered as isotropic and transversely isotropic materials respectively. Furthermore, the computational framework utilises hierarchic basis functions and designed to take advantage of distributed memory high performance computing.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Structures - Volume 181, March 2017, Pages 21-31
نویسندگان
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