基于关联规则挖掘的混凝土坝温控方案优化.pdf
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1、水利水电技术(中英文)第 54 卷 2023 年第 9 期Water Resources and Hydropower Engineering Vol.54 No.9LIANG Zhipeng,ZHOU Huawei,WANG Fang,et al.Optimization of the temperature control scheme of concrete dams based on association rule mining approachJ.Water Resources and Hydropower Engineering,2023,54(9):99-115.梁志鹏,周华维
2、,王放,等.基于关联规则挖掘的混凝土坝温控方案优化J.水利水电技术(中英文),2023,54(9):99-115.Optimization of the temperature control scheme of concrete dams based on association rule mining approachLIANG Zhipeng,ZHOU Huawei,WANG Fang,ZHAO Chunju,ZHOU Yihong(School of Civil Engineering,Architecture&Environment,Hubei University of Techn
3、ology,Wuhan 430068,Hubei,China)Abstract:ObjectiveThe Feedback Design(FD)of temperature control measures during the construction period of a concrete dam require that the individual temperature control measures for each planned dam block for pouring should be proposed in a short period of time to ens
4、ure the timeliness of the on-site construction guidance.However,the parameter adjustment steps in the FD process mainly rely on the personnel,professional knowledge,and engineering experience of the computing staff,which is not conducive to improving the FD efficiency.MethodsIn this study,associatio
5、n rule mining theory is applied to reveal the influence degree of common temperature control measures for the temperature control effect of a concrete dam.An associa-tion rules mining model for the temperature control data is established based on the Xiluodu high arch dam project.The associ-ation ru
6、les between the temperature control parameters and the temperature control index of the dam in the initial cooling stage and the temperature-dropping period of the middle cooling stage are mined,and the quantitative relationships are obtained.ResultsThe results show that in the temperature control p
7、eriod of the initial cooling stage:(1)the concrete pouring tempera-ture needs to be controlled between 1112,(2)the average inlet water temperature needs to be controlled between 7.59.5,and(3)the average water flow needs to be controlled between 2735 L/min.Additionally,in the temperature drop-ping pe
8、riods of both the initial cooling stage and the middle cooling stage,the average inlet water temperature needs to be con-trolled between 1416 and average water flow needs to be controlled between 1622 L/min.ConclusionThe discovered knowledge indicates relationships between the temperature control in
9、dexes and temperature control measures in pouring blocks for the Xiluodu high arch dam that enable the engineers to make reasonable decisions,which provides a reference for the scien-tific and efficient adjustment of the temperature control measures and makes some contributions during the constructi
10、on period of the Xiluodu high arch dam.Keywords:association rule mining;temperature control data;scheme optimization;concrete damsDOI:10.13928/ki.wrahe.2023.09.009开放科学(资源服务)标志码(OSID):中图分类号:TU447文献标志码:A文章编号:1000-0860(2023)09-0099-17Article history:Received February 6,2023;Revised May 17,2023;Accepted
11、 May 25,2023;Available online June 20,2023收稿日期:2023-02-06;修回日期:2023-05-17;录用日期:2023-05-25;网络出版日期:2023-06-20Financial Aid:Youth Fund project of National Natural Science Foundation of China(52109157)基金项目:国家自然科学基金青年科学基金项目(52109157)About the author:LIANG Zhipeng(1986),male,lecturer,doctor,mainly engaged
12、 in construction organization management research.E-mail:liang-zhipeng2552 作者简介:梁志鹏(1986),男,讲师,博士,主要从事施工组织管理研究。E-mail:liangzhipeng2552 Corresponding author:ZHOU Huawei(1988),female,associate professor,doctor,mainly engaged in mass concrete temperature real-time moni-toring and temperature control cr
13、ack prevention research.E-mail:zhouhuawei1988 通信作者:周华维(1988),女,副教授,博士,主要从事大体积混凝土温度实时监测及温控防裂。E-mail:zhouhuawei1988 Editorial Department of Water Resources and Hydropower Engineering.This is an open access article under the CC BY-NC-ND license.99LIANG Zhipeng,et al./Optimization of the temperature con
14、trol scheme of concrete dams based on association rule mining approach水利水电技术(中英文)第 54 卷 2023 年第 9 期基于关联规则挖掘的混凝土坝温控方案优化梁志鹏,周华维,王 放,赵春菊,周宜红(湖北工业大学 土木建筑与环境学院,武汉 湖北 430068)摘 要:【目的】混凝土坝施工期温控措施反馈设计要求在较短时间内提出每个拟筑仓的个性化温控措施建议,确保指导现场施工的时效性。然而,已有反馈设计方法中的参数调整环节主要依赖计算人员的专业知识和工程经验,不利于提高温控措施反馈设计效率。【方法】应用关联规则挖掘理论,揭
15、示常用温控措施对混凝土坝温控效果的影响程度。结合溪洛渡高拱坝工程,建立了温控数据的关联规则挖掘模型,对坝体一冷控温、一冷降温和中冷降温三个阶段的温控措施参数与温度控制指标之间的关联规则进行挖掘,得出了两者之间的定量关系。【结果】结果表明,在一冷控温阶段:(1)混凝土浇筑温度需要控制在 1112 之间;(2)平均进口水温需要控制在 7.5 9.5 之间;(3)平均通水流量需要控制在 2735 L/min 之间。此外,在一冷降温和中冷降温阶段,平均进口水温需要控制在1416 之间,平均通水流量需要控制在 1622 L/min 之间。【结论】研究揭示了溪洛渡工程浇筑仓混凝土温控指标与温控措施之间的关
16、联关系,便于工程师合理决策,为混凝土坝施工期温控措施反馈设计时科学高效调整参数提供参考依据,为溪洛渡工程的混凝土温控作出了一定贡献。关键词:关联规则挖掘;温控数据;方案优化;混凝土坝1 1 I In nt tr ro od du uc ct ti io on n For concrete dams,temperature control is always an important task during the construction process1-3.In or-der to accurately grasp the temperature change process of eac
17、h pouring block during the construction period,vari-ous monitoring methods and data acquisition instruments,such as point thermometers,digital thermometers,hand-held temperature recorders,wireless temperature collec-tors,distributed optical fiber temperature measurement system,are applied to acquire
18、 a large amount of concrete dam temperature monitoring data.Additionally,real tem-perature control measure data for each cooling stage of each pouring block is accumulated4.With the large amount of temperature control monito-ring data,scholars have done a great deal of research work.QIANG et al.5 in
19、versed the thermal and mechan-ical parameters of a rolled compact concrete gravity dam based on the measured temperature and strain data.TIAN et al.6 inversed the thermal parameters of a high belite cement concrete dam block based on distributed optical fiber monitoring data.SUN et al.7 formed a har
20、mony search and back propagation neural network(HS-BPNN)algorithm for the inversion of the parameters of rock-fill materials and carried out a sensitivity analysis of the pa-rameters.To solve the problem of the inversion accuracy being highly dependent on the measuring point locations,WANG et al.8 p
21、roposed an optimized thermal parameter inversion algorithm.NI et al.9 applied an improved col-ony algorithm to inverse the thermal parameters of a con-crete dam and simulated the temperature field based on the inversion parameters.They compared the calculated values with the monitoring data to prove
22、 that the algorithm had good applicability.BHATTARAI et al.10 proposed a prediction model to formulate the relationship between the cooling rate of mass concrete and the water cooling parameters based on Genetic Programming(GP)with the data measured during the summer season for a concrete dam.WANG e
23、t al.11 built a swarm intelligence optimi-zation algorithm,or particle swarm optimization(PSO)model for thermal parameter identification based on tem-perature observation data.Based on the large amount of temperature monitoring data,the authors previously pro-posed a procedure for optimizing the tem
24、perature control 001LIANG Zhipeng,et al./Optimization of the temperature control scheme of concrete dams based on association rule mining approach水利水电技术(中英文)第 54 卷 2023 年第 9 期scheme of roller compacted concrete(RCC)dams12.The procedure couples the finite element method(FEM)with a sensitivity analysi
25、s method and the reconstructed two-dimensional temperature fields of a typical dam block for the different ages and longitudinal profiles of the dam blocks based on the Kriging difference algorithm13.It can be seen that the utilization of this temperature control data for concrete dams can be summar
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