摘要
为了充分挖掘导热系数高维数据的内在结构特征,提出运用投影寻踪回归(PPR)无假定建模技术对混凝土导热系数试验数据进行分析并建立模型,采用数据“还原拟合”与“预留检验”相一致的“精度一致检验法”准则来评定模型的稳定性;并基于建立的PPR模型对导热系数进行仿真计算,以此对混凝土导热系数进行更加全面的研究.该建模方法避免了采用证实性数据分析(CDA)方法进行建模时存在的人为假定和求解结果因人而异等不确定性问题,具有较好的学科通用性.研究成果不仅为混凝土结构内部温度场的精确计算提供了理论依据,还对各学科试验优化设计、高维数据建模分析提供了有效的解决方案.
In order to fully excavate the intrinsic structural characteristics of high dimensional data of thermal conductivity,projection pursuit regression(PPR)non-hypothetical modeling technology was proposed to analyze and model the experimental data.The stability of the model was evaluated by the criterion of accuracy consistency test which was consistent with the data of reduction fitting and reserved test.Based on the established PPR model,the thermal conductivity of concrete was simulated,so that the thermal conductivity of concrete can be studied more comprehensively.The results show that this modeling method avoids the problems of subjective assumption and uncertainty of solution results,which exist in the confirmatory data analysis(CDA)method,and has good discipline versatility.The research results not only provide theoretical basis for the accurate calculation of the internal temperature field of concrete structures,but also provide effective solutions for the optimization design analysis of various disciplines.
作者
宫经伟
陈瑞
曹国举
郑祖国
杨力行
GONG Jingwei;CHEN Rui;CAO Guoju;ZHENG Zuguo;YANG Lixing(College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China;College of Hydraulic and Environmental Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China)
出处
《建筑材料学报》
EI
CAS
CSCD
北大核心
2020年第4期948-954,共7页
Journal of Building Materials
基金
国家自然科学基金资助项目(51541909,51869031)
新疆农业大学研究生科研创新项目(XJAUGRI2017-025)。
关键词
混凝土导热系数
PPR模型
无假定建模
高维数据建模
精度一致性检验
thermal conductivity of concrete
PPR model
non-hypothetical modeling technology
high dimensional data modeling
accuracy consistency test
