摘要
根据混凝土内部温度观测数据,建立了基于模糊理论的混凝土热力学参数识别方法。根据观测点的温度观测数据的误差特性,建立了模糊优化的目标函数。将热传导反问题作为非线性优化问题处理,然后采用BFGS方法求解。由于温度观测误差的随机特性,分析了混凝土热力学参数识别结果的统计特性。数值计算结果表明,在考虑到温度观测误差的条件下,所建立的参数反演方法能够有效地识别出混凝土的热力学参数。
Based on the fuzzy theory, the identification algorithm for the concrete thermal parameters was proposed according to observed temperatures inner concrete. The objective function of the fuzzy optimization was presented with the statistical characters of observed temperatures. The inverse problem is formulated as a nonlinear optimization problem, which is then solved by using BFGS method. The statistical characters of identified parameters were investigated because the observed data were uncertainty. The numerical computation shows that the proposed method is able to identify efficiently the concrete thermal parameters while the measurement errors of temperatures are considered.
出处
《岩土力学》
EI
CAS
CSCD
北大核心
2004年第4期570-573,共4页
Rock and Soil Mechanics
基金
国家自然科学基金资助项目(批准号:10072014)
关键词
反问题
混凝土热力学参数
参数识别
隶属函数
正态分布
Constraint theory
Fuzzy sets
Heat transfer
Inverse problems
Membership functions
Normal distribution
Thermal conductivity
