摘要
在满足工程要求的前提下,优选温控参数,可以大幅度提高工程效益,节约社会资源,但是目前没有通用性强的大体积混凝土温控参数优选数学模型,温控参数还只能凭经验设计选取,以致温控方案的选取并非是相对造价最低的最优方案,因而不利于控制工程建设成本。鉴于此,对大体积混凝土温控参数优选数学模型进行研究,首次推导出了考虑水管间距、冷却水温沿程变化和流量等影响的无热源和有热源混凝土平均温度计算公式,进而提出了以大体积混凝土温控措施总费用为目标函数,以破坏强度准则为约束方程的温控参数优选数学模型,并编制了求解该模型的遗传算法程序。实例计算表明:该模型简捷、高效,计算结果合理,可为工程的温控设计提供参考。同时,模型的通用性和实用性都较强,便于在工程中运用。
Optimizing temperature control measures under the premise of meeting engineering requirements could improve project efficiency and save social resource. But currently a versatile mathematical model of parameter optimization for the temperature control of mass concrete is in lack,and as a result,the temperature control parameters can only be selected according to experience,which is unfavorable to control the construction cost. In view of this,formulas of mass concrete's average temperature in the presence and in the absence of heat source were respectively deduced considering the effects of cooling pipe distance,variation of water temperature along the pipe,and flow rate. Furthermore,a mathematical model was built and genetic algorithm to solve the model was presented. The model takes the total cost of temperature control measures as objective function and the strength failure criterion as constraint equation. Calculation examples prove that the model is simple,efficient and reasonable. Moreover,it is versatile and feasible to be applied to engineering practice.
出处
《长江科学院院报》
CSCD
北大核心
2015年第8期126-130,共5页
Journal of Changjiang River Scientific Research Institute
基金
国家自然科学基金面上项目(51079044)
国家自然科学基金青年项目(51009056)
关键词
大体积混凝土
温控措施
数学模型
遗传算法
冷却水管
mass concrete
temperature control measure
mathematical model
genetic algorithm
water-cooling pipe