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Development of failure criteria of thin shells and fabrics based on multiscale modeling and peridynamic

Development of failure criteria of thin shells and fabrics based on multiscale modeling and peridynamic
基于多尺度建模和近场动力学的薄壳和织物失效准则的制定
批准号:
341885-2007
负责人:
Nadler, Ben
金额:
$1.35万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2008
资助国家:
加拿大
项目状态:
已结题
起止时间:
2008-01-01 至 2009-12-31

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中文摘要
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英文摘要
In recent years, plain woven fabric made of high strength, lightweight fiber has been utilized in a variety of engineering applications ranging from ballistic shields (e.g., soft body armor, aircraft fuselage barriers) to high-performance flexible systems (e.g., parachutes, airbags and sails). In particular, fabric materials with extremely high strength-to-weight ratio, such as Kevlar and Zylon, are rapidly becoming mainstays in ballistic impact and penetration technologies. The mechanical properties of fabric depend crucially on the underlying microstructure, which is determined by the material properties of single constituent yarns and the geometry of the fabric weaving. In this work, the applicant will continue to develop a multi-scale model to predict the failure and damage mechanism of fabric materials. A failure of fabric used in safety applications will have catastrophic results. It was previously shown by the applicant that the multi-scale approach is applicable for analyzing deformation and stresses in fabric material. The multi-scale model provides a detailed stress state of the underlaying microstructure which in the case of fabric is made of woven yarns. The results of this work will allow to design a safer and lighter systems based on fabrics. The development of a theoretical model for mechanical behavior of materials and structure has significant importance. From the engineering point of view a theoretical model allows a designer a better understanding of the important phenomena taking place. Since a theoretical model use mathematics as a language which is free of physical limitation. Using a mathematical model permits the designer to measure quantities which cannot be measured in experiment. A mathematical model permits robust process of seeking optimization to the design. Moreover, the cost of theoretical investigation in small, since the development of a theoretical model will be followed by numerical simulations using only computers. When the theoretical and numerical studies reach maturity it should be integrated into experimental study. The cost of the experiment research is significantly reduced since large portion of the analysis was already performed numerically.
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