第39卷第1期 2017年2月
土木建筑与环境工程
Journal of Civil,Architectural &.Environmental Engineering
doi:10.11835/j.issn. 1674-4764.2017. 01.004
不同含水率下生土导热系数测试及对
建筑能耗的影响刘大龙，赵辉辉，刘向梅，何泉（西安建筑科技大学建筑学院，西安710055）
Vol. 39 No. 1 Feb.2017
回点
摘要：为研究不同含水率对生土材料热工性能及对生土建筑能耗的影响，分别从陕西西安、新疆吐鲁番、西藏拉萨采集当地土样并加工成同一密度级的土坏试件，测试了从绝干到湿饱和状态下各种生土导热系数的变化规律。采用建筑能耗动态模拟结合敏感性分析，研究了上述3种土样在不同含水率下导热系数变化对建筑能耗的影响规律。结果表明，含水率与生土导热系数成线性相关：含水率对生土建筑耗热量的影响具有显著的地域性差异；新疆生土在墙体温度增大情况下建筑能耗增加幅度最小。
关键词：生土材料；含水率；导热系数；建筑采暖能耗；敏感性分析
中图分类号：TU111.2
文献标志码：A
文章编号：1674-4764(2017)01-0020-06
Thermal conductivity test of adobe materials with different moisture
content and its effect on building energy consumption
Liu Dalong,Zhao Huihui,Liu Xiangmei,He Quan
(School of Architecture, Xi'an University of Architecture and Technology,Xi'an 710055,P. R. China)
Abstract: The soil samples collected respectively from Xi'an in Shanxi, Turpan in Xinjiang and Lhasa in Tibet were processed into three types of adobe specimens according to the same density level to study the effects of different moisture content on the thermal performance of raw soil materials and energy consumption of raw soil building. Then the thermal conductivities of these samples were tested from the vast dry to wet saturated state, and the influence regulation of changes of raw soil thermal conductivity on heating energy consumption in different moisture rate conditions was studied with methods of dynamic energy simulation and sensitivity analysis. The results showed that: There is a linear correlation between moisture content and raw soil thermal conductivity; The regional differences of influence to moisture
conditions, heating energy consumption of Xinjiang adobe building had a minimum amplitude with the addition of moisture content.
Keywords:adobe material; moisture content; thermal conductivity; building heating energy consumption: sensitivity analysis
收稿日期：2016-06-04
基金项目：国家自然科学基金（51590913、51578439）
作者简介：刘大龙（1976-），男，博士，副教授，主要从事建筑能耗模拟研究，（E-mail)coffeevc@xauat.edu.cn， Received: 2016-06-04
Foundation item: National Natural Science Foundation of China （(No. 51590913, 51578439); Postdoctoral Science
Foundation of Shaanxi Province
Author brief: Liu Dalong (1976-), associate professor, PhD, main research interest: building energy simulation, (E-mail)
coffeevc@xauat.edu.cn.