【24h】

Predictive capability of a new mori-tanaka micromechanical model for particulate composites

机译:新的森田中微机械模型对颗粒复合材料的预测能力

获取原文

摘要

The objective of this study was to develop a micromechanical model that accounts for material nonlinearity due to matrix nonlinear behavior and inclusion debonding in polymeric particulate composites. An existing model was improved by using a new modulus prediction routine based on the work of Mori-Tanaka and Ju-Chen and by incorporating a nonlinear elastic matrix description. The modulus prediction routine accounted for particle interaction and described more accurately the effects of a debonded inclusion on overall mechanical properties. A critical analysis using data from glass bead/HTPB composites showed that debonding of largest to smallest par-ticles throughout the monotonic strain history was a reasonable assumption. There were indications that particles did not fully debond. A sensitivity analyses revealed that overall behavior was controlled by particle-matrix adhesive characteristics. For glass bead/HTPB, glass based/PU and glass bead/HDPE composites, the model was capable of predicting mechanical behavior as long as suitable adhesive characteristic values were available.
机译:这项研究的目的是开发一种微力学模型,该模型可解决由于聚合物颗粒复合材料中的基体非线性行为和夹杂物剥离引起的材料非线性。通过使用基于Mori-Tanaka和Ju-Chen的工作的新模量预测例程并结合非线性弹性矩阵描述,对现有模型进行了改进。模量预测程序考虑了颗粒之间的相互作用,并更准确地描述了脱脂夹杂物对整体机械性能的影响。使用玻璃微珠/ HTPB复合材料的数据进行的关键分析表明,在整个单调应变历史中,最大颗粒到最小颗粒的脱粘是一个合理的假设。有迹象表明颗粒没有完全脱粘。敏感性分析表明,总体行为受颗粒-基质粘合特性控制。对于玻璃微珠/ HTPB,玻璃基/ PU和玻璃微珠/ HDPE复合材料,只要有合适的粘合特性值,该模型就能够预测机械性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号