基于遗传和声算法的高土石坝施工方案综合优化研究
本文选题:高土石坝 + 填筑质量 ; 参考:《天津大学》2014年硕士论文
【摘要】:高土石坝施工优化是一个复杂的非线性多目标综合优化问题,大坝填筑质量、安全与施工进度是土石坝施工的三大控制目标。这三个目标往往是相互关联又相互约束的:当大坝填筑质量的控制要求降低时,有助于加快大坝的施工进度,但会对大坝施工与运行安全带来隐患;反之,若一味提高填筑质量(超标准),则会使施工进度滞后;同时,各分区不同的填筑进度面貌也会对大坝沉降带来不同的影响,甚至会影响大坝安全。因此,有必要在满足各种施工要求的前提下,寻求填筑质量、大坝安全、施工进度综合最优的土石坝各分区填筑进度安排,,并针对当前大坝填筑进程及大坝沉降现状,寻求合理的施工进度调整与控制方案。本文的主要研究内容和成果如下: (1)利用数字大坝系统实时采集的各坝料分区的压实密度和填筑进度,建立了考虑各坝料分区实际压实质量的土石坝施工期沉降预测模型,克服了常规方法假定同分区坝料均质同密度、忽略实际压实质量差异所导致的坝料密度空间分布不均性而带来的弊端。进而利用遗传和声算法对模型的回归系数进行寻优重估,以提高模型的精度。计算所得的坝体不同分区沉降量及沉降差可作为大坝安全评价的指标。 (2)在定量分析土石坝填筑质量、安全和进度相互关系的基础上,建立了高土石坝填筑质量-安全-进度综合优化模型,并提出了基于Vague集的土石坝施工模糊综合优化方法。针对传统优化算法的局限性,采用了遗传和声算法对这一复杂的非线性多目标优化问题进行求解,可克服传统优化方法易于陷入局部最优及要求模型可微可导的弊端,实现了算法的快速寻优,进而可实现高土石坝填筑质量、大坝安全和施工进度的均衡安排。 (3)以西南某高堆石坝工程为例开展了应用研究,验证了本文沉降计算方法的有效性,并表明本文方法可实现在确保大坝填筑质量与施工安全的前提下,对将来某一时期内的大坝施工进度进行优化安排,从而为高土石坝施工期沉降预测,以及施工进度计划优化与实时控制提供了一条新途径。
[Abstract]:The construction optimization of high earth-rock dam is a complex nonlinear multi-objective comprehensive optimization problem. The construction quality, safety and construction schedule of the dam are the three major control objectives of earth-rock dam construction. These three objectives are often interrelated and mutually constrained: when the quality control requirements for dam filling are reduced, it will help to speed up the construction of the dam, but will bring hidden dangers to the construction and operation safety of the dam; conversely, If the quality of the fill is improved (exceeding the standard), the construction progress will lag behind, and at the same time, the different landfills in different districts will also have different effects on the settlement of the dam and even affect the safety of the dam. Therefore, it is necessary to seek the comprehensive and optimal construction schedule of earth-rock dam with comprehensive optimal quality, dam safety and construction schedule on the premise of satisfying various construction requirements, and aim at the current dam filling process and dam settlement status. Seek reasonable construction schedule adjustment and control scheme. The main contents and achievements of this paper are as follows: 1) by using the compaction density and filling schedule of each dam material partition collected in real time by digital dam system, the settlement prediction model of earth-rock dam during construction period considering the actual compaction quality of each dam material partition is established. It overcomes the disadvantages of the conventional method which assumes that the dam material is homogeneous and density in the same zone and neglects the uneven spatial distribution of the dam material density caused by the difference of the actual compaction quality. Then genetic harmonic algorithm is used to optimize the regression coefficient of the model to improve the accuracy of the model. The calculated settlement and settlement difference can be used as indexes of dam safety evaluation. 2) on the basis of quantitative analysis of filling quality, safety and schedule of earth-rock dam, the comprehensive optimization model of filling quality, safety and schedule of high earth-rock dam is established, and the fuzzy comprehensive optimization method of earth-rock dam construction based on Vague set is put forward. In view of the limitation of traditional optimization algorithm, genetic harmony algorithm is used to solve this complex nonlinear multi-objective optimization problem, which can overcome the disadvantages of traditional optimization method which is apt to fall into local optimum and require model to be differentiable. The fast optimization algorithm is realized, and the balanced arrangement of filling quality, dam safety and construction schedule of high earth and rock dam can be realized. Taking a high rockfill dam project in the southwest of China as an example, the application research is carried out, which verifies the validity of the settlement calculation method in this paper, and shows that this method can be realized on the premise of ensuring the quality of dam filling and the safety of construction. The optimization of dam construction schedule in a certain period in the future provides a new way for prediction of settlement during construction of high earth and rock dam, optimization of construction schedule and real-time control.
【学位授予单位】:天津大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TV641.1;TV52
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