共查询到20条相似文献，搜索用时 125 毫秒
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洪水期水位流量关系绳套曲线的直接拟合 总被引：7，自引：2，他引：5
受洪水涨落影响的水痊流量关系通常为时序型绳套曲线,现有的校正因数法在电算整编中存在一定的困难,通过对校正因数法公式的幂级数展开,提出了水位流量关系绳套曲线的计算机直接拟合数学方法,并对该法原理、步骤作了较详细的介绍。实例验证结果表明,该法能有效地模拟受洪水涨落影响的水位流量关系绳套曲线、且具有计算速度快,推流精度高等优点。 相似文献
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为了探讨冲淤河道水位～流量关系单值化问题,笔者在分析受冲淤影响较大的测站的水位～流量关系的基础上,提出通过组合因子与水力因素建立相应关系进行单值化处理的方法,并称之为组合因子法。经资料验证,该法简单易行并能保证一定的精度。现简介如下,供参考。 相似文献
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粒子群算法(PSO)是一种基于群智能的全局优化方法。将改进PSO算法应用于水位流量关系拟合优化问题,通过对结果的比较分析,验证了改进PSO算法在提高精度方面的有效性,说明了改进PSO算法在水位流量关系拟合中应用的可行性。 相似文献
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测站的水位流量关系由于受到多种因素的影响,没有固定的曲线线型,使得水位流量关系曲线的延长变得较为困难。多层递阶方法将预测系统视为动态系统,具有跟踪系统时变参数的特性,但没能考虑高相关影响因子的重要性。回归分析考虑到了高相关影响因子的重要性,但由于采用定常参数建模,不能反映动态系统时变参数的特性。将多层递阶方法和回归分析方法结合起来,用于单一水位流量关系曲线的高水延长。方法克服了传统的单一水位流量关系曲线高水延长时线型的需要选择、精度难以控制、效率低和不易程序化等缺点,为单一水位流量关系曲线的高水延长提供了一种新途径。 相似文献
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提出了一种针对自流型渠道输水的最优化控制的两步法。第一步是控制各闸站流量使渠段水位(或蓄水量)达到目标水位(或蓄水量),第二步是调整流量使渠段水位稳定。建立了使渠道内水流在最短时间内恢复到正常运行水位的最优渠道输水控制模型。构建了长距离渠道输水控制的一系列约束条件,包括渠道下游需水量约束、最高控制水位、水位最大容许下降速度、渠道容许过流能力、最少的开机次数等。提出了利用线性规划或将大系统分解为若干子系统求解的方法。算例结果表明,用传统的渠道控制方法需要几天才能使水位恢复到目标水位的渠道,用本优化方法控制,可以在几小时内使渠道水位达到目标水位并达到稳定。 相似文献
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在水文計算工作中,有时需要在缺少实測流量資料情况下繪制水位流量关系曲线。現今常用的有两种基本方法:一种是根据相应水位引借流量关系曲线;一种是根据謝才公式繪制。 利用相应水位法,要在邻近断面有水位流量关系曲线,而且两个断面的水位关系必須十分密切。 由于糙率选择任意性較大,确定河段水面比降也上匕較麻煩,因此采用謝才公式来計算水位流量关系曲 相似文献
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Yuanyuan Chen Xiao Yang Xiaojiang Deng Xiaolan Wang Qi He Lili Cheng Kegui Chen 《地球科学进展》1986,35(7):761-768
Due to the diversity of mineral types in shale gas reservoirs, it is difficult to establish reservoir parameter volume model by conventional log interpretation methods. The optimization log interpretation method can evaluate complex lithology reservoirs effectively, and the key is optimization algorithm. With the newly proposed seagull optimization algorithm method, we calculate the mineral and physical parameters of shale gas reservoir in Well H of Yuxi block, Sichuan Basin, and compare with the genetic algorithm and the genetic algorithm-complex hybrid algorithm. It shows that calculation results of seagull optimization algorithm optimization log interpretation match well with core analysis data, and calculation error is small, calculation speed is fast. Seagull optimization algorithm also makes up for the shortcomings of premature convergence and easy to fall into local optimization of genetic algorithm, the need for secondary optimization and slow search speed of genetic-complex hybrid algorithm. It provides a reference for the application of seagull optimization algorithm in other shale gas reservoirs regions. 相似文献
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基于粒子群优化的岩土工程反分析研究 总被引：11，自引：0，他引：11
岩土工程优化反分析本质上看是一个典型的复杂非线性函数优化问题,采用全局优化算法是解决这个问题的理想途径,但由于优化反分析中多次调用正分析的特点使得整个算法的计算效率很低。为了提高优化反分析的计算效率,把一种计算效率更高的新型仿生算法--粒子群优化引入岩土工程反分析领域,提高反分析的计算效率。在此基础上,结合有限元数值分析技术,提出了一种新的岩土工程优化反分析算法--粒子群优化反分析。并通过一个简单算例验证了该法的有效性。 相似文献
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基于粒子群算法与混合罚函数法的有限元优化反演模型及应用 总被引：3，自引：0，他引：3
岩土工程优化反分析是一个典型的复杂非线性函数优化问题,采用全局优化算法是解决这个问题的理想途径。针对常规反演方法应用于岩土工程参数反演时搜索效率低的缺点,结合粒子群算法和遗传算法的特点,充分考虑二者的互补性,提出一种效率较高的全局优化算法,以测点的实测值与计算值建立一种新的评价函数,将多目标优化问题转化为单目标优化问题,用混合罚函数法将约束问题变为无约束问题,构建了一种新的目标函数,将有限元程序ABAQUS作为一个模块嵌入到优化算法程序中,编制了有限元优化反演分析程序。并给出了应用实例验证了该法的有效性和实用性,是一种可行的参数反演方法,可应用于实际工程中复杂岩土介质初始应力场反演、渗流场以及位移反分析 相似文献
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Optimization techniques for identifying soil parameters in geotechnical engineering: Comparative study and enhancement 
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下载免费PDF全文 A comparative study of optimization techniques for identifying soil parameters in geotechnical engineering was first presented. The identification methodology with its 3 main parts, error function, search strategy, and identification procedure, was introduced and summarized. Then, current optimization methods were reviewed and classified into 3 categories with an introduction to their basic principles and applications in geotechnical engineering. A comparative study on the identification of model parameters from a synthetic pressuremeter and an excavation tests was then performed by using 5 among the mostly common optimization methods, including genetic algorithms, particle swarm optimization, simulated annealing, the differential evolution algorithm and the artificial bee colony algorithm. The results demonstrated that the differential evolution had the strongest search ability but the slowest convergence speed. All the selected methods could reach approximate solutions with very small objective errors, but these solutions were different from the preset parameters. To improve the identification performance, an enhanced algorithm was developed by implementing the Nelder‐Mead simplex method in a differential algorithm to accelerate the convergence speed with strong reliable search ability. The performance of the enhanced optimization algorithm was finally highlighted by identifying the Mohr‐Coulomb parameters from the 2 same synthetic cases and from 2 real pressuremeter tests in sand, and ANICREEP parameters from 2 real pressuremeter tests in soft clay. 相似文献
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水文频率分析在参数估计过程中常采用智能优化适线法,如蚁群算法、遗传算法、粒子群算法、模拟退火算法等,但这些算法模型参数难以有效确定,导致寻优结果存在不稳定的不足。为了克服传统优化适线法的缺陷,在系统阐述群居蜘蛛优化算法基本原理的基础上,将群居蜘蛛优化算法用于水文频率曲线的参数确定中,并与传统的参数估计方法(矩法、权函数法、概率权重矩法、遗传算法)加以比较。实例结果表明,该方法搜索效率高,寻优结果稳定,能较好获得参数的最优解。 相似文献
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张力计的反应时间可用于估算非饱和土的渗透系数,并可作为张力计选型的评判依据。为了更加合理且便捷地确定张力计的反应时间,先通过不同含水量条件下的泾阳黄土、定边黄土以及毛乌素砂土的土柱试验测定张力计的响应曲线,再利用半经验图解法与结合通用全局优化(UGO)算法的数值优化方法来确定反应时间,并探讨了数值优化方法的实用价值及其局限性。研究结果表明,张力计的响应曲线可分为张力计安装扰动段、压力反应滞后段以及稳定平衡段,其中,压力反应滞后段建议采用4次多项式函数拟合,而稳定平衡段则采用线性函数拟合。数值优化计算结果表明,在一般情况下,Levenberg-Marquardt优化法(LM+UGO)、BFGS准牛顿优化法(BFGS+UGO)与共轭梯度优化法(CGM+UGO)的拟合程度高,用时短,但对于数据抖动幅度较大或存在突变型曲线特征等复杂形式的张力计响应曲线,数值优化算法不易获得较理想的结果,此时仍需借由经验判断才能确定合宜的反应时间。 相似文献
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Determining the optimum placement of new wells in an oil field is a crucial work for reservoir engineers. The optimization problem is complex due to the highly nonlinearly correlated and uncertain reservoir performances which are affected by engineering and geologic variables. In this paper, the combination of a modified particle swarm optimization algorithm and quality map method (QM + MPSO), modified particle swarm optimization algorithm (MPSO), standard particle swarm optimization algorithm (SPSO), and centered-progressive particle swarm optimization (CP-PSO) are applied for optimization of well placement. The SPSO, CP-PSO, and MPSO algorithms are first discussed, and then the modified quality map method is discussed, and finally the implementation of these four methods for well placement optimization is described. Four example cases which involve depletion drive model, water injection model, and a real field reservoir model, with the maximization of net present value (NPV) as the objective function are considered. The physical model used in the optimization analyses is a 3-dimensional implicit black-oil model. Multiple runs of all methods are performed, and the results are averaged in order to achieve meaningful comparisons. In the case of optimizing placement of a single producer well, it is shown that it is not necessary to use the quality map to initialize the position of well placement. In other cases considered, it is shown that the QM + MPSO method outperforms MPSO method, and MPSO method outperforms SPSO and CP-PSO method. Taken in total, the modification of SPSO method is effective and the applicability of QM + MPSO for this challenging problem is promising 相似文献
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针对地震勘探资料依赖线性优化方法进行波阻抗反演不易得到全局极值的问题,提出一种改进的粒子群优化算法-自适应粒子群优化算法进行波阻抗反演。自适应粒子群优化算法是以群智能优化理论为基础,通过3种可能移动方向的带权值组合进行全局寻优。该方法搜索速度较快,且具有较强的全局寻优能力。通过函数测试和波阻抗反演的应用,结果表明,自适应粒子群优化算法是一种适应能力较强的全局优化算法,用该方法进行波阻抗反演是可行有效的。 相似文献
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针对传统遗传算法存在收敛速度和早熟问题的现象,将模糊控制理论与遗传算法相结合,提出了基于模糊遗传算法的边坡稳定性分析方法.工程实例计算表明,本文方法不仅能克服传统方法容易陷入局部最小值的缺点,而且较SGA(简单遗传算法)有更高的搜索效率. 相似文献
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Rashed Poormirzaee 《Arabian Journal of Geosciences》2016,9(16):673
The refraction microtremor method has been increasingly used as an appealing tool for investigating near surface S-wave structure. However, inversion, as a main stage in processing refraction microtremor data, is challenging for most local search methods due to its high nonlinearity. With the development of data optimization approaches, fast and easier techniques can be employed for processing geophysical data. Recently, particle swarm optimization algorithm has been used in many fields of studies. Use of particle swarm optimization in geophysical inverse problems is a relatively recent development which offers many advantages in dealing with the nonlinearity inherent in such applications. In this study, the reliability and efficiency of particle swarm optimization algorithm in the inversion of refraction microtremor data were investigated. A new framework was also proposed for the inversion of refraction microtremor Rayleigh wave dispersion curves. First, particle swarm optimization code in MATLAB was developed; then, in order to evaluate the efficiency and stability of proposed algorithm, two noise-free and two noise-corrupted synthetic datasets were inverted. Finally, particle swarm optimization inversion algorithm in refraction microtremor data was applied for geotechnical assessment in a case study in the area in city of Tabriz in northwest of Iran. The S-wave structure in the study area successfully delineated. Then, for evaluation, the estimated Vs profile was compared with downhole data available around of the considered area. It could be concluded that particle swarm optimization inversion algorithm is a suitable technique for inverting microtremor waves. 相似文献