中国工程科学Issue(3)：59-63,5.
闸墩混凝土结构温控防裂措施智能优选研究
Intelligent optimization of temperature control and crack prevention measures for sluice pier concrete structure
摘要
Abstract
To the sluice pier concrete,temperature control and crack prevention is a complex and multi-factor problem of system optimization related to temperature control measures and material parameters. This paper tries optimal temperature control measures with the known con-crete material thermodynamics parameters,takes minimum values of the relationships between the sluice pier concrete structure’s internal/surface principal tensile stress duration curve and tensile strength growth curve as inputs and the sluice pier superficial heat preservation effect, pouring temperature,pipe cooling temperature and duration time as outputs,establishes the neural network model of the optimal temperature control measures,takes the uniform design principle to have the temperature control parameter combination,adopts the pipe cooling finite element method(FEM)to simulate and analyze the temperature field and creep stress field of the sluice pier concrete structure with cooling pipe,and gets samples to train network to de-scribe the nonlinear relationship between the relationship’s minimum value of the structure’s principal tensile stress duration curve and tensile strength growth curve and different tempera-ture control measures. Inputting the appropriate relationship’s minimum value of structure’s the principal tensile stress duration curve and tensile strength growth curve to the trained net-work,it can automatically select the optimal temperature control measures. The example shows that the neural network model of the optimal temperature control measures is feasible.关键词
闸墩/表面保温/通水冷却/浇筑温度/智能优选Key words
sluice pier/superficial heat preservation/water cooling/pouring temperature/intelligent optimization分类
建筑与水利引用本文复制引用
黄耀英,丁月梅,吕晓曼,徐佰林..闸墩混凝土结构温控防裂措施智能优选研究[J].中国工程科学,2014,(3):59-63,5.基金项目
国家自然科学基金项目 （）
