کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
820800 | 906724 | 2012 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Predicting self-healing strength recovery using a multi-objective genetic algorithm
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Predicting self-healing strength recovery using a multi-objective genetic algorithm Predicting self-healing strength recovery using a multi-objective genetic algorithm](/preview/png/820800.png)
چکیده انگلیسی
This study aims to identify the optimum location and distribution of a healing agent within the delamination of a fibre reinforced plastic to ensure effective self-healing by utilising a multi-objective Genetic Algorithm (GA). Two optimisation problems were formulated and addressed with a different set of objectives. A simple finite element (FE) model is used to evaluate the mechanical performance of the healing component. The FE model consists of an idealised delamination region, which allows the direct discretisation of the problem used for the optimisation algorithm. Effective healing locations are found for a specific load case with a healing efficiency of up to 95% for the best performing solution.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Composites Science and Technology - Volume 72, Issue 6, 27 March 2012, Pages 752–759
Journal: Composites Science and Technology - Volume 72, Issue 6, 27 March 2012, Pages 752–759
نویسندگان
C. Knipprath, G.P. McCombe, R.S. Trask, I.P. Bond,