首页|基于IABAP混合算法的混凝土坝浇筑仓温控措施智能优选

基于IABAP混合算法的混凝土坝浇筑仓温控措施智能优选

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混凝土坝浇筑仓在施工期的温控措施选择不当会导致混凝土出现温度裂缝,将智能优化算法与温控措施结合进行多个温控因素联合分析,可实现大坝温控措施智能调控.提出了一种结合粒子群(PSO)与人工峰群(ABC)的混合优化算法 IABAP,避免了单一算法后期收敛速度降低、易陷入局部最优等问题,并将其运用于白鹤滩拱坝典型坝段的参数反演,基于计算温度曲线与实测温度曲线对比结果,进行温控措施联合优选.结果表明,通过 IABAP算法温控措施调整后的温度曲线预测结果与施工期采用实际温控措施参数值预测结果相比温升速率和浇筑温度更小,对控制混凝土早期拉应力更有利.研究结果为混合优化算法在大坝温控措施智能优选方面的运用提供了参考.
Intelligent Optimization of Temperature Control Measures for Concrete Dam Pouring Block Based on IABAP Hybrid Algorithm
Improperly chosen temperature control measures during concrete dam construction can lead to temperature-induced cracks in the concrete.Combining intelligent optimization algorithms with temperature control measures allows for the comprehensive analysis of multiple temperature control factors and intelligent adjustment of these measures.This study proposed a hybrid optimization algorithm IABAP,which integrates both particle swarm optimization(PSO)and ar-tificial bee colony(ABC)techniques.This hybrid approach addressed the issues commonly encountered with single algo-rithms,such as slow convergence in the later stages and susceptibility to local optimization.The IABAP algorithm was used to optimize the parameters for a typical dam section of the Baihetan Arch Dam.By comparing the computed and measured temperature curves,the most effective combination of temperature control measures was determined.The re-sults demonstrate that after applying the IABAP algorithm to adjust the temperature control measures,the predicted temperature profile exhibits a slower temperature rise rate and lower pouring temperature compared to the predictions based on the actual parameter values used during construction.This adjustment is beneficial for managing the early tensile stress in the concrete.The research results provide valuable insights into the use of hybrid optimization algorithms for in-telligent temperature control measure selection in dam construction.

IABAP hybrid optimization algorithmthermal parameter inversiontemperature field analysisoptimi-zation of temperature control curveoptimization of concrete temperature control measures

毛栋、王峰、张傲、刘雪莉

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三峡大学水电工程建设与管理湖北省重点实验室,湖北 宜昌 443002

三峡大学水利与环境学院,湖北 宜昌 443002

湖北能源集团南漳张家坪抽水蓄能有限公司,湖北 襄阳 441000

IABAP混合优化算法 热学参数反演 温度场分析 温控曲线优化 温控措施优选

国家自然科学基金项目水利部水库大坝安全重点实验室开放基金项目湖北省自然科学基金-三峡创新发展联合资助项目

51809154YK3230092023AFD189

2024

10.20040/j.cnki.1000-7709.2024.20231475

水电能源科学
中国水力发电工程学会 华中科技大学 武汉国测三联水电设备有限公司

水电能源科学

CSTPCD北大核心
影响因子：0.525
ISSN：1000-7709
年,卷(期)：2024.42(2)
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