CMC Thermal Conductivity
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下载链接:
https://data.mendeley.com/datasets/6x7jrn5fhm
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资源简介:
This is the repository for the Materials and Design paper titled "Reduced-order Models for Microstructure-Sensitive Effective Thermal Conductivity of Woven Ceramic Matrix Composites with Residual Porosity"
Files Included:
-Homogenized effective thermal conductivity for all microstructures (3125) in k11.mat, k22.mat, and k33.mat
-The input principal component scores for all microstructures (3125) can be found in pcs.mat
Statistical quantification of microstructures can be accomplished through the PyMKS github page: https://github.com/materialsinnovation/pymks.
Further information regarding the GPR model building process can be found in the Mathworks page: https://www.mathworks.com/help/stats/fitrgp.html
本仓库对应发表于《材料设计(Materials and Design)》期刊的论文《带残余孔隙的编织陶瓷基复合材料微观结构敏感有效热导率降阶模型》。
包含文件如下:
- 全部3125组微观结构的均质化有效热导率数据分别存储于k11.mat、k22.mat及k33.mat中
- 全部3125组微观结构的输入主成分得分可在pcs.mat中获取
微观结构的统计量化可通过PyMKS的GitHub开源页面实现,访问地址为:https://github.com/materialsinnovation/pymks。
有关高斯过程回归(GPR)模型的构建流程的更多信息,可查阅Mathworks官方文档页面:https://www.mathworks.com/help/stats/fitrgp.html。
创建时间:
2021-02-01



