...
首页> 外文期刊>Composite structures >Parametrically-upscaled continuum damage mechanics (PUCDM) model for plain weave woven composites: Part I model development
【24h】

Parametrically-upscaled continuum damage mechanics (PUCDM) model for plain weave woven composites: Part I model development

机译:平纹编织复合材料的参数化放大连续体损伤力学 (PUCDM) 模型:第一部分模型开发

获取原文
获取原文并翻译 | 示例

摘要

This is the first of a two-part paper that develops a validated 2-level parametrically-upscaled continuum damage mechanics (PUCDM) model for multiscale modeling of damage evolution in plain weave woven composites, characterized by multiple levels of hierarchy. The two-level PUCDM models, viz. PUCDM-1 and PUCDM-2, bridge three levels of composite hierarchy. The PUCDM-1 model corresponds to the constitutive model for yarns in the mesoscopic woven RVE with representation of the morphology and mechanisms of underlying unidirectional fibers in level-1 of the hierarchy. The PUCDM-2 model is used for modeling the structural scale composite behavior with morphological and mechanisms representation from the underlying levels 2 and 1. Functional forms of constitutive coefficients in the PUCDM-1 and PUCDM-2 models, in terms of representative aggregated micro- and meso-structural parameters (RAMPs), material properties, and damage states, are generated by machine learning (ML) methods. The ML algorithms operate on databases of volume-averaged response variables, obtained from the simulation of lower-level RVEs. The validation tests, comparing PUCDM model results with homogenized variables from lower scale analysis demonstrate very good accuracy. The two-level PUCDM models are capable of predicting the stress-strain and damage evolution with high computational efficiency and accuracy.
机译:这是一篇由两部分组成的论文中的第一篇,该论文开发了一种经过验证的 2 级参数化放大连续体损伤力学 (PUCDM) 模型,用于平纹编织复合材料损伤演化的多尺度建模,其特征是多层次结构。两级 PUCDM 模型,即 PUCDM-1 和 PUCDM-2,桥接了复合层次结构的三个层次。PUCDM-1 模型对应于介观编织 RVE 中纱线的本构模型,在层次结构的 1 级中表示底层单向纤维的形态和机制。PUCDM-2 模型用于模拟结构尺度复合行为,从底层 2 和 1 进行形态和机制表示。PUCDM-1 和 PUCDM-2 模型中本构系数的函数形式,包括代表性的聚合微观和细观结构参数 (RAMP)、材料特性和损伤状态,由机器学习 (ML) 方法生成。ML 算法对从较低级别 RVE 的模拟中获得的体积平均响应变量数据库进行操作。验证测试将PUCDM模型结果与来自低尺度分析的均质化变量进行比较,显示出非常好的准确性。两水平PUCDM模型能够预测应力-应变和损伤演化,计算效率高,精度高。

著录项

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