共查询到20条相似文献，搜索用时 78 毫秒
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基于广义极值分布的设计波高推算 总被引：1，自引：0，他引：1
简介了广义极值分布函数及其3种参数估计方法,包括极大似然(ML)、线性矩(LM)和间隔最大积(MPS)估计的计算方法。使用广义极值分布函数推算了北部湾涠洲岛海域3个波向的年波高极值序列设计波高,并与Weibull分布、Gumbel分布和皮尔逊Ⅲ型分布的推算结果加以对比。分析表明,涠洲岛海域极值波高服从于广义极值Ⅲ型分布,拟合优度检验结果表明广义极值分布能更好地拟合极值波高;MPS方法是一种优良的参数估计法,推算的设计波高可作为海岸环境工程设计的首要参考值。 相似文献
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利用澳大利亚悉尼观测站连续16年的实测资料,并结合波高阈值法以及年N大波法两种新的采样方法,利用最小二乘法原理,对对数正态分布、Gumbel第一型极值分布、Weibull分布、指数分布和皮尔逊Ⅲ型曲线五种分布函数进行分析和比较,从而选出一种适用的分布函数。同时,文章介绍了一种最新的估计三参数Weibull分布参数的方法。结果表明:三参数Weibull分布函数的相关系数较大,拟合较好,而且均方误也都较小。从而得出结论,三参数Weibull分布函数得到的结果较好,并建议使用该分布函数进行设计波高的计算。 相似文献
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广西沿海年极值波高分析 总被引：2，自引：0，他引：2
经分析发现广西沿海极值波高不符合用的P－Ⅲ型分布，并分析了其符合的分布函数，结果表明对Weibull分布符合最好，为解决Weibull分布参数难于确定的问题，引入了共轭梯度法计算其参数，最终计算了多年一遇极值波高。 相似文献
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极值分布参数的非线性估计及其工程应用 总被引：7，自引：1，他引：6
本文基于高斯—牛顿法,在理论频率与实际频率残差平方和最小这一适线准则下,实现了三种极值分布参数的非线性估计。该算法计算精度高,收敛速度快,对观测数据拟合程度较佳。文中对三种极值分布与P-Ⅲ型分布、对数正态分布进行了适线比较,所做工程算例表明;极值Ⅱ型所得小概率设计参数最大,极值Ⅰ型次之,威布尔分布最小,P-Ⅲ型与对数正态分布居中。本文采用的分布参数拟合方法同样适用于其它线型。 相似文献
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本文对塘沽1966—1982年的年最大风速资料作了统计,从极值分析中得到威布尔(Weibull)分布较好拟合的结果,并用迭代法求得参数的一种较好数值解法。 相似文献
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TOPEX卫星高度计有效波高数据分析与极值统计预报 总被引：3，自引：0，他引：3
利用TOPEX卫生高度计测量的有效波高资料，对中国近海9个海域进行了卫星主度计的C，Ku两波段测量值的比较分析与处理,出合理的有效波高数值。利用三参数Weibull分布，以渤海海域、上海附近海域和南海东部海域的作为特定区进行有效波高的极值统计预报，并进行了统计分析。 相似文献
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An improved particle swarm optimization algorithm with harmony strategy for the location of critical slip surface of slopes 总被引：1，自引：0，他引：1
The determination of optimal values for three parameters required in the original particle swarm optimization algorithm is very difficult.It is proposed that two new parameters simulating the harmony search strategy can be adopted instead of the three parameters which are required in the original particle swarm optimization algorithm to update the positions of all the particles.The improved particle swarm optimization is used in the location of the critical slip surface of soil slope,and it is found that the improved particle swarm optimization algorithm is insensitive to the two parameters while the original particle swarm optimization algorithm can be sensitive to its three parameters. 相似文献
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针对海洋环境下自主水下机器人（AUV）的路径规划问题，提出了一种基于框架四叉树的改进量子粒子群算法（QPSO），首先使用框架四叉树的方法对障碍物建模，该方法提高了建模的精度且对后续算法的效率也有极大的改进，之后设计改进的量子粒子群算法，并且结合水下环境的特殊性设计适应度函数，综合考虑航线路径长度、偏转角度以及海流影响，使得算法可以在水下环境中寻得能耗最短的解路径。最后通过仿真试验验证，相比于传统的栅格法和粒子群算法，改进量子粒子群算法的运算时间更短，收敛速度更快，其独特的适应度函数可以使AUV能更好适应水下多变的环境，且能利用海流设计能耗更小的路径，具有很大的实用价值。 相似文献
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In order to reduce the total resistance of a hull, an optimization framework for the bulbous bow optimization was presented. The total resistance in calm water was selected as the objective function, and the overset mesh technique was used for mesh generation. RANS method was used to calculate the total resistance of the hull. In order to improve the efficiency and smoothness of the geometric reconstruction, the arbitrary shape deformation (ASD) technique was introduced to change the shape of the bulbous bow. To improve the global search ability of the particle swarm optimization (PSO) algorithm, an improved particle swarm optimization (IPSO) algorithm was proposed to set up the optimization model. After a series of optimization analyses, the optimal hull form was found. It can be concluded that the simulation based design framework built in this paper is a promising method for bulbous bow optimization. 相似文献
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Under complex currents, the motion governing equations of marine cables are complex and nonlinear, and the calculations of cable configuration and tension become difficult compared with those under the uniform or simple currents. To obtain the numerical results, the usual Newton-Raphson iteration is often adopted, but its stability depends on the initial guessed solution to the governing equations. To improve the stability of numerical calculation, this paper proposed separated the particle swarm optimization, in which the variables are separated into several groups, and the dimension of search space is reduced to facilitate the particle swarm optimization. Via the separated particle swarm optimization, these governing nonlinear equations can be solved successfully with any initial solution, and the process of numerical calculation is very stable. For the calculations of cable configuration and tension of marine cables under complex currents, the proposed separated swarm particle optimization is more effective than the other particle swarm optimizations. 相似文献
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In this study, the CPSO-SVM models, which combine chaotic system, particle swarm optimization (PSO) and support vector machine (SVM), are presented and applied to predict the ultimate bearing capacity of shallow foundations. Chaotic mapping enjoys certainty, ergodicity and the stochastic property. Chaotic PSO (CPSO) increases the convergence rate of PSO and precision of the results through introducing chaos mapping into the particle swarm optimization algorithm. Since the selection of parameters for SVM is crucial to its performance of prediction, the CPSO is adopted to search for the optimal parameters. The proposed methods are used to predict the ultimate bearing capacity of shallow foundations based on data of load tests. Results indicate that the proposed methods can appropriately describe the relationship between ultimate bearing capacity and its affective factors, and make good predictions. 相似文献
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Under complex currents, the motion governing equations of marine cables are complex and nonlinear, and the calculations of cable configuration and tension become difficult compared with those under the uniform or simple currents. To obtain the numerical results, the usual Newton?Raphson iteration is often adopted, but its stability depends on the initial guessed solution to the governing equations. To improve the stability of numerical calculation, this paper proposed separated the particle swarm optimization, in which the variables are separated into several groups, and the dimension of search space is reduced to facilitate the particle swarm optimization. Via the separated particle swarm optimization, these governing nonlinear equations can be solved successfully with any initial solution, and the process of numerical calculation is very stable. For the calculations of cable configuration and tension of marine cables under complex currents, the proposed separated swarm particle optimization is more effective than the other particle swarm optimizations. 相似文献
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研究了大型导管架平台卧式建造时出现单边约束圆管的风致涡激振动问题。将建造过程中单边约束的导管架圆管简化成悬臂梁模型,采用van der Pol尾流振子模型模拟圆管受到的流体力,建立了圆管风致涡激振动动力学方程。使用伽辽金方法对建立的运动方程进行求解,数值分析了圆管在特定约化风速下的涡激振动特性。在圆管上附加非线性能量阱(NES)作为被动减振装置对圆管进行减振,并采用粒子群优化算法对NES的非线性刚度和阻尼参数进行了优化。结果表明,在约化速度为4.8时,得到的NES优化的非线性刚度和阻尼参数组合可以有效减小悬臂梁自由端风致涡激振动位移。本研究说明采用NES和粒子群优化算法可以有效减小圆管的风致涡激振动,为导管架安全建造提供一定的参考。 相似文献
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工程设计Weibull分布参数拟合的改进方法 总被引：2，自引：0，他引：2
董胜 《中国海洋大学学报(自然科学版)》1999,(1)
图解法是求解Ｗｅｉｂｕｌ分布中３个可调参数的传统方法。但参数的推求过程要图解试求,反复调整,最后结果往往不是最佳拟合参数;线性最小二乘法是最近几年提出的一种求解Ｗｅｉｂｕｌ分布参数的方法,但其精度受位置参数初始迭代值的影响很大。文中运用麦奎尔特法推求Ｗｅｉｂｕｌ分布的参数,实现了参数推求的一举寻优。算例表明,拟合方法可行实用,拟合精度明显提高。 相似文献
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In consideration of the resource wasted by unreasonable layout scheme of tidal current turbines, which would influence the ratio of cost and power output, particle swarm optimization algorithm is introduced and improved in the paper. In order to solve the problem of optimal array of tidal turbines, the discrete particle swarm optimization (DPSO) algorithm has been performed by re-defining the updating strategies of particles’ velocity and position. This paper analyzes the optimization problem of micrositing of tidal current turbines by adjusting each turbine’s position, where the maximum value of total electric power is obtained at the maximum speed in the flood tide and ebb tide. Firstly, the best installed turbine number is generated by maximizing the output energy in the given tidal farm by the Farm/Flux and empirical method. Secondly, considering the wake effect, the reasonable distance between turbines, and the tidal velocities influencing factors in the tidal farm, Jensen wake model and elliptic distribution model are selected for the turbines’ total generating capacity calculation at the maximum speed in the flood tide and ebb tide. Finally, the total generating capacity, regarded as objective function, is calculated in the final simulation, thus the DPSO could guide the individuals to the feasible area and optimal position. The results have been concluded that the optimization algorithm, which increased 6.19% more recourse output than experience method, can be thought as a good tool for engineering design of tidal energy demonstration. 相似文献