首页> 外国专利> Data-driven and intelligent characterization of spatial distributions of transport properties in heterogeneous materials

Data-driven and intelligent characterization of spatial distributions of transport properties in heterogeneous materials

机译:异构材料中运输特性空间分布的数据驱动和智能特征

摘要

A method comprises obtaining temporal measurements associated with a heterogeneous material; building a numerical model of a material by assigning initial approximations to the temporal measurements; modifying the numerical model to create a modified numerical model; generating simulated temporal measurements associated with the temporal measurements using the modified numerical model; determining a reward, a penalty, or a modification based on a quality of a fit between the temporal measurements and the simulated temporal measurements; and updating the numerical model based on the reward, the penalty, or the modification.
机译:一种方法包括获得与异质材料相关的时间测量值; 通过将初始近似为时间测量来构建材料的数值模型; 修改数值模型以创建修改后数模型; 使用修改的数值模型生成与时间测量相关的模拟时间测量; 基于时间测量和模拟时间测量的拟合质量确定奖励,惩罚或修改; 并根据奖励,惩罚或修改更新数值模型。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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