混凝土热学参数试验与反分析研究  

Thermal parameters of concrete by test and back analysis

作　　者：王振红[1] 朱岳明[1] 武圈怀[2] 张宇惠[2] 

机构地区：[1]河海大学水利水电工程学院,南京210098 [2]水利部河北水利水电勘测设计研究院,天津300250

出　　处：《岩土力学》2009年第6期1821-1825,1830,共6页Rock and Soil Mechanics

基　　金：国家自然科学基金资助项目(No.50579080;No.50539010);水利部科技创新重点项目资助(No.SCXC2003-10);河海大学院士学科发展基金资助(No.HHUYS003)

摘　　要：确定混凝土绝热温升和表面散热系数需要专用设备,价格昂贵,且和施工现场存在较大误差。针对这一问题,采用基于施工现场的混凝土立方体非绝热温升试验,结合非稳定温度场求解的三维有限单元法仿真计算技术和反问题优化求解的遗传算法,以辨别和确定包括热交换系数、绝热温升和绝热温升规律系数在内的混凝土热学特性参数。反演结果表明,所得参数能真实反映混凝土的热学性能,遗传算法作为一种优化算法,具有收敛速度快、效果好等特点。Some very precious professional test apparatuses are needed conventionally to determine the adiabatic temperature rise of concrete and the thermal diffusion coefficients of concrete surface. These apparatuses are very expensive and there may be errors in the test results due to different environmental conditions between laboratory and site. In view of this problem, based on the 3-D FEM of nonsteady temperature field and the genetic algorithm of inverse problem optimized solution, non-adiabatic temperature rise test of concrete cube on construction site is carried out to distinguish and ascertain concrete thermal parameters, including heat exchange coefficient, adiabatic temperature rise and law coefficient of adiabatic temperature rise. The results show that these parameters can indicate the real thermal properties of concrete in site. As one kind of optimization method, the genetic algorithm is simple and universal with good adaptability and high efficiency.

关 键 词：遗传算法 热学参数 反演分析 温度场 绝热温升 

分 类 号：TU528[建筑科学—建筑技术科学]