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早期混凝土热学参数优化及温度场精确模拟
引用本文:崔溦,陈王,王宁.早期混凝土热学参数优化及温度场精确模拟[J].四川大学学报(工程科学版),2014,46(3):161-167.
作者姓名:崔溦  陈王  王宁
作者单位:天津大学,天津大学
基金项目:复杂条件下超深防渗墙混凝土稳固机制及滑管脱模关键技术研究 51279126
摘    要:早期混凝土温度场变化剧烈,其生热过程、导热性能都与水化过程密切相关。综合混凝土绝热温升方程、热学参数和边界条件三方面,进行了早龄期混凝土热学参数优化和温度场精确模拟的研究。在室内试验基础上,采用Python语言编写遗传算法程序,并将二次开发的ABAQUS温度场子程序嵌入到遗传算法中,进行了绝热温升方程的参数优化;考虑导热系数和比热变化,开发了基于水化度的热学参数子程序。采用优化后绝热温升方程对某工程实例进行了对比研究,结果表明:热学参数变化对早期混凝土的温度场分布有重要影响,考虑水化度热学参数变化的工况比不考虑该参数变化的工况,承台内部温度最高值增大7.28%,表面温度最高值增大14.30%,内外温差增大3.81%,内外温差值较高的范围也较大;研究成果能更为精确的预测结构早期应力和开裂。

关 键 词:早期混凝土  温度场  水化度  遗传算法  参数优化
收稿时间:2013/10/29 0:00:00
修稿时间:2013/12/29 0:00:00

Early concrete thermal parameters optimization and accurate thermal field simulation
Cui Wei,Chen Wang and Wang Ning.Early concrete thermal parameters optimization and accurate thermal field simulation[J].Journal of Sichuan University (Engineering Science Edition),2014,46(3):161-167.
Authors:Cui Wei  Chen Wang and Wang Ning
Affiliation:Tianjin University
Abstract:Early concrete temperature field change drastically, the process of heating and heat conduction performance is closely related to the hydration process. Considering the concrete adiabatic temperature rise equation, thermal parameters and boundary conditions of three aspects, the early concrete thermal parameters optimization and accurate temperature field simulation is researched.On the basis of indoor test, using the Python language to write the program optimization inversion based on genetic algorithm, the thermal field subroutine of ABAQUS is embedded into the genetic algorithm, The adiabatic temperature rise equation parameters are optimized; Considering the coefficient of thermal conductivity and specific heat change, developed based on the hydration degree of the thermal parameters of a subroutine. The above research results applied to a project example, which has carried on the comparative study, the results show that the change of thermal parameters has important influence on temperature field distribution of early concrete, the thermal parameters considering hydration degree of condition than that without considering the parameter change of conditions, the internal temperature of the pile caps peak increases 7.28%, the highest surface temperature increased by 14.30%, the temperature difference between inside and outside increases 3.81%, the scope of the higher temperature difference between inside and outside is bigger; research can be more accurate prediction of structure early stress and cracking.
Keywords:early age concrete  thermal field  degree of hydration  genetic algorithms  parameter optimization
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