基于t分布烟花算法的土石坝碾压参数多目标优化
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摘要
通过碾压正交试验,在定量分析碾压参数对土石坝料压实质量影响的基础上,建立综合考虑土石坝施工效率、压实密度和质量保证的碾压参数多目标优化模型,提出用于求解该优化模型的t分布变异烟花算法,以确定经济合理的碾压参数。该算法可以减小开展碾压试验的工作量,有助于寻得合理的碾压参数组合方案。工程实例分析表明,改进烟花算法相较传统优化算法收敛速度更快,寻优效率和稳定性更好;采用改进烟花算法优化的碾压参数,堆石坝料的压实密度和孔隙率均满足设计要求。
On the basis of quantitatively analyzing the relationship between compaction quality and compaction parameters, a comprehensive optimizing model with objectives of construction effectiveness, compacted density, and quality guarantee rate has been established in this paper. An adaptive t distribution mutation-firework algorithm(ATM-FWA) for the model was presented to achieve the economically reasonable compaction parameters for the construction of high earth-rock dam. The proposed method can contribute to search a reasonable compaction parameter scheme with less field compaction tests. A case study shows that ATM-FWA has more advantages than the traditional optimal methods in the convergence performance, searching effectiveness, and solution stability. The compaction density and porosity of earth-rock dam material using the optimized compaction parameters can satisfy the design requirement. Thus, the proposed method provides a new way for the roller selecting and the compaction parameters optimization in the construction of an earth-rock dam.
On the basis of quantitatively analyzing the relationship between compaction quality and compaction parameters, a comprehensive optimizing model with objectives of construction effectiveness, compacted density, and quality guarantee rate has been established in this paper. An adaptive t distribution mutation-firework algorithm(ATM-FWA) for the model was presented to achieve the economically reasonable compaction parameters for the construction of high earth-rock dam. The proposed method can contribute to search a reasonable compaction parameter scheme with less field compaction tests. A case study shows that ATM-FWA has more advantages than the traditional optimal methods in the convergence performance, searching effectiveness, and solution stability. The compaction density and porosity of earth-rock dam material using the optimized compaction parameters can satisfy the design requirement. Thus, the proposed method provides a new way for the roller selecting and the compaction parameters optimization in the construction of an earth-rock dam.
引文
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[16]刘东海,连振宏,李子龙.土石坝填筑碾压机械激振性态实时监控系统[J].水电能源科学,2015,33(10):68-71.(LIUDonghai,LIAN Zhenhong,LI Zilong.Real-time roller exciting behaviors monitoring system of earth-rock dam compaction[J].Water Resources and Power,2015,33(10):68-71.(in Chinese))
[17]ZYOUD S H,FUCHS-HANUSCH D.A bibliometric-based survey on AHP and TOPSIS techniques[J].Expert Systems with Applications,2017,78(7):158-181.
[18]MNIF M,BOUAMAMA S.Firework algorithm for multi-objective optimization of a multimodal transportation network problem[J].Procedia Computer Science,2017,112(9):1670-1682.
[19]REN Y T,QI H,HE M J,et al.Application of an improved firework algorithm for simultaneous estimation of temperaturedependent thermal and optical properties of molten salt[J].International Communications in Heat&Mass Transfer,2016,77(10):33-42.
[20]MINAEI-BIDGOLI B,TOPCHY A P,Punch W F.A comparison of resampling methods for clustering ensembles.[C]//International Conference on Artificial Intelligence.Proceedings of the International Conference on Machine Learning,Models,Technologies&Applications.Las Vegas:DBLP,2004:939-945.
[21]FARITHA B A,CHANDRASEKAR C.An optimized approach of modified BAT algorithm to record deduplication[J].International Journal of Computer Applications,2013,62(1):10-15.
[2]朱俊高,蒋明杰,沈靠山,等.粗粒土静止侧压力系数试验[J].河海大学学报(自然科学版),2016,44(6):491-497.(ZHU Jungao,JIANG Mingjie,SHEN Kaoshan,et al.Experiment study of at-rest lateral pressure coefficient of coarse-grained soil[J].Journal of Hohai University(Natural Sciences),2016,44(6):491-497.(in Chinese))
[3]国家能源局.碾压式土石坝施工规范:DL/T 5129-2013[S].北京:中国电力出版社,2013.
[4]占懿,李建虎.溧阳抽水蓄能电站上水库面板堆石坝现场爆破和碾压试验[J].水力发电,2013,39(3):84-87.(ZHANYi,LI Jianhu.On-site tests on blasting and roller compaction of CFRD in upper reservoir of Liyang pumped-storage power station[J].Water Power,2013,39(3):84-87.(in Chinese))
[5]ALI M Z,AWAD N H,SUGANTHAN P N,et al.An improved class of real-coded genetic algorithms for numerical optimization[J].Neurocomputing,2018,275:155-166.
[6]PESSOA C M,RANZAN C,TRIERWEILER L F,et al.Development of ant colony optimization(ACO)algorithms based on statistical analysis and hypothesis testing for variable selection[J].Ifac Papersonline,2015,48(8):900-905.
[7]AGARWALLA P,MUKHOPADHYAY S.Efficient player selection strategy based diversified particle swarm optimization algorithm for global optimization[J].Information Sciences,2017,397(8):69-90.
[8]TAN Y,ZHU Y.Fireworks algorithm for optimization[C]//Advances in Swarm Intelligence.First International Conference.Las Vegas:[s.n.],2010:355-364.
[9]TAN Ying,SHI Yuhui,MO Hongwei.Advances in swarm intelligence[C]//Lecture Notes in Computer Science.4th International Conference.Berlin:ICSI,2013:439-450.
[10]IMRAN A M,KOWSALYA M.A new power system reconfiguration scheme for power loss minimization and voltage profile enhancement using fireworks algorithm[J].International Journal of Electrical Power&Energy Systems,2014,62(11):312-322.
[11]GAO H,DIAO M.Cultural firework algorithm and its application for digital filters design[J].International Journal of Modelling Identification&Control,2011,14(4):324-331.
[12]ZHENG S,TAN Y.A unified distance measure scheme for orientation coding in identification[C]//IEEE.Third International Conference on Information Science and Technology.New York:IEEE,2013:979-985.
[13]ZHENG Y J,SONG Q,CHEN S Y.Multiobjective fireworks optimization for variable-rate fertilization in oil crop production[J].Applied Soft Computing,2013,13(11):4253-4263.
[14]包晓晓,叶春明,计磊,等.改进混沌烟花算法的多目标调度优化研究[J].计算机应用研究,2016,33(9):2601-2605.(BAO Xiaoxiao,YE Chunming,JI Lei,et al.Improved chaotic firework algorithm for multi-objective scheduling optimization[J].Application Research of Computers,2016,33(9):2601-2605.(in Chinese))
[15]钟登华,刘东海,崔博.高心墙堆石坝碾压质量实时监控技术及应用[J].中国科学:技术科学,2011,41(8):1027-1034.(ZHONG Denghua,LIU Donghai,CUI Bo.Real-time compaction quality monitoring of high core rockfill dam[J].Sci China Tech Sci,2011,41(8):1027-1034.(in Chinese))
[16]刘东海,连振宏,李子龙.土石坝填筑碾压机械激振性态实时监控系统[J].水电能源科学,2015,33(10):68-71.(LIUDonghai,LIAN Zhenhong,LI Zilong.Real-time roller exciting behaviors monitoring system of earth-rock dam compaction[J].Water Resources and Power,2015,33(10):68-71.(in Chinese))
[17]ZYOUD S H,FUCHS-HANUSCH D.A bibliometric-based survey on AHP and TOPSIS techniques[J].Expert Systems with Applications,2017,78(7):158-181.
[18]MNIF M,BOUAMAMA S.Firework algorithm for multi-objective optimization of a multimodal transportation network problem[J].Procedia Computer Science,2017,112(9):1670-1682.
[19]REN Y T,QI H,HE M J,et al.Application of an improved firework algorithm for simultaneous estimation of temperaturedependent thermal and optical properties of molten salt[J].International Communications in Heat&Mass Transfer,2016,77(10):33-42.
[20]MINAEI-BIDGOLI B,TOPCHY A P,Punch W F.A comparison of resampling methods for clustering ensembles.[C]//International Conference on Artificial Intelligence.Proceedings of the International Conference on Machine Learning,Models,Technologies&Applications.Las Vegas:DBLP,2004:939-945.
[21]FARITHA B A,CHANDRASEKAR C.An optimized approach of modified BAT algorithm to record deduplication[J].International Journal of Computer Applications,2013,62(1):10-15.