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1.
用一种新方法研究了三对角方程组及对称三对角方程组计算解的最佳向后扰动分析。由于这两类方程组的系数矩阵具有特殊结构 ,因而本文结果不能从已有结果直接导出。所用方法亦可用于研究 KKT及 SQD等结构线性系统的最佳向后扰动分析。  相似文献   

2.
有大量研究工作是研究关于常微分方程组(向量—矩阵写法)  相似文献   

3.
袁耀初  何魁荣 《海洋学报》1982,4(6):653-666
我们曾应用有限元方法计算台湾以东海域黑潮的流速分布[1].由于问题是三维的,又是四个未知量(u,v,w,p),当计算较大的海域时,应用有限元方法得到最终的大型稀疏方程组的阶数甚高,相应矩阵的带宽较大,方程组又是非对称的,因此求解这样的方程组必须在容量较大、速度较快的大型电子计算机上进行.有没有别的方法避免这个困难呢?这就是本文问题的由来.  相似文献   

4.
潮汐不连续资料的分析算法可在文献[1]和[2]中找到。为使导出的方程组更加通用、更具有普遍性,本文给出一种技巧,使结果具有如下特点: 1.正规方程组系数较原来的结果更加具体、明确,系数矩阵的每个元素都由实在的表达式表示。 2.当相邻各段资料之间的时间间距对称分布时,整个系数矩阵像连续资料的情况一样被约化为两个独立的矩阵。 3.连续资料如果作为不连续资料的一种特款,被分段考虑时,所得正规方程组则与连续资料的结果完全一样。  相似文献   

5.
多跨输液管的稳定性及动力响应   总被引:2,自引:0,他引:2  
本文研究了在工程中常见的支承在多个弹性支座上的输液管系,用Hamilton原理和有限元法建立管道系统的运动方程,通过求解带有陀螺矩阵的振动方程组的特征值问题计算了这种管系的临界流速,结果表明,前两阶模态的临界流速相同,且明显高于单跨管的最低临界流速;用威尔逊-θ逐步积分法考察了管系在临界流速附近对扰动的响应,结果表明,当小于临界流速时,响应主要是低频周期振动;反之,则位移随时间按指数增长  相似文献   

6.
珠江三角洲河网一维水动力模拟的有限元法   总被引:2,自引:1,他引:1  
仿照四点隐式差分法在每个单元内部形成独立的单元方程组,改进有限元软件包RMA对潮汐河网水动力进行一维数值模拟.通过空间、时间上的离散,利用Galerkin法弱形式构造圣维南方程组的有限元控制方程组,运用Newton_ Raphson 法和FRONT法求解非线性总体方程组,结合边界条件和初始条件求得数值解.根据2001年实测数据,对珠江三角洲河网进行了水动力数值模拟计算,其计算结果与实测值、经典FDM计算值相符.  相似文献   

7.
前言     
前言海洋热盐结构预报方法研究,系物理海洋学、海洋声学及渔业海洋学的重要课题之一,研究途径,从国内、外已发表的文献看,主要为统计预报及解热、动力方程组或引入温度垂直剖面相似函数的热、动力方程组。对于前者,在60年代中期以前,主要借助于一般的统计方法或切...  相似文献   

8.
海洋重磁资料的最小二乘平差处理方法   总被引:5,自引:0,他引:5  
海洋重磁资料的平差处理是海洋重磁资料处理过程中必不可少的环节之一。从最小二乘算法意义下的平差处理基本理论出发,建立起平羞测线网系统交点误差的方程组,给出了方程组系数矩阵的简单求取方法。理论计算和实际资料处理结果表明,该方法不仅原理简单,计算机实现方便,而且经平差处理后的系统交点误差可以达到最小二乘意义下的极小。最后讨论了实际重磁资料平差处理中任意常数的确定问题。  相似文献   

9.
刘式适 《海洋预报》1997,14(4):1-10
本文从描写台风水平运动的基本方程组出发,利用流动稳定性及分岔和突变理论,建立了包含惯性,角动量及气压场等因子的非线性运动模型。  相似文献   

10.
港湾三维水动力和污染物扩散数值模型   总被引:7,自引:0,他引:7  
本文提出一种浅海三维污染物扩散数值模拟的方法。首先建立σ坐标系下的Navier-Stoker方程及物质扩散方程。基于过程分裂法将前者分解为外模式(二维方程组)及内模式(三维方程组);并且引入窄缝法对变边界进行模拟,由此建立三维σ坐标潮流模型;并找到σ坐标系下三维污染物扩散方程的差分方法,最后建立三维σ坐标污染物扩散模型。本模型已被应用于厦门海域,并对其2002年海水水质(CODCr值增量)进行了预测。应用结果表明,这种三维可变边界污染物扩散数值模型能够较好地对具有较大面积浅海滩涂的海区进行水质模拟和预测。  相似文献   

11.
We aim to relate the morphology of the pore network of finely porous claystones to their fluid transport properties. By using Focused Ion Beam in combination with Scanning Electron Microscopy (FIB/SEM), we image the pore network of COx claystone from 2D image stacks and as 3D reconstructed volumes. Our FIB/SEM samples are representative of the mesoscopic matrix clay. Porosity resolvable by this technique is in the range 1.7–5.9% with peak pore sizes of 50–90 nm. 3D pore network skeletonization provides connected pore volumes between end surfaces, tortuosity, density, and shortest pore paths with their pore size distribution. At higher resolution, 2D transmission electron microscopy (TEM) reveals large amounts of smaller pores (2–20 nm) between clay aggregates, associated to a local porosity of 14–25%, and peak sizes of 4–6 nm. Liquid permeability predictions with Katz–Thompson model, at the FIB/SEM volume scale and at the TEM surface scale, are in good agreement with macroscopic measurements (on the order of 10−20 m2), showing that both mesopore sizes (peaks at 50–90 nm and 4–6 nm), located within the clay matrix, contribute to liquid transport.  相似文献   

12.
矩阵体积法原理及其在水下差分GPS定位中的应用   总被引:1,自引:0,他引:1  
给出了矩阵体积法的原理和方法,并使用矩阵体积法研究了水下差分GPS定位中设计矩阵的态性,导出了星形空间网中设计矩阵的体积与观测向量高度角参数的函数关系式,为研究星形空间网图形强度提供了数学模型。  相似文献   

13.
针对网络控制系统中存在的不确定时滞,将网络控制系统模型转化为不确定系数的离散时间模型。利用Lya-punov稳定性理论和线性矩阵不等式技术,提出动态输出鲁棒控制器的设计方法,同时给出闭环系统鲁棒渐近稳定的充分条件。仿真例子验证了所提方法的有效性。  相似文献   

14.
This article focuses on field- and laboratory-based characterization of vertically persistent fractures that are part of oblique-slip normal fault zones and crosscut the Cretaceous platform and overlaying ramp carbonates outcropping at Maiella Mountain (central Italy). The achieved results show that: (i) fault damage zones are wider and more densely fractured in the platform carbonates than in the ramp ones; (ii) joints and sheared joints composing the fault damage zones are taller, better connected and less spaced within the former rocks than in the ramp carbonates. The aforementioned structural differences are interpreted to be a consequence of the different mechanical properties of the platform and ramp carbonates during failure. At Maiella Mountain, platform carbonates are, indeed, made up of overall stiffer (higher Uniaxial Compressive Strength values) and less porous rocks, due to more abundant intergranular void-filling cement and presence of matrix.In terms of hydrocarbon flow and recovery, geometric and dimensional attributes of fractures suggest that the well-connected network of closely spaced fractures cutting across the platform carbonates may form efficient pathways for both vertical and horizontal hydrocarbon flow. In contrast, the relatively poorly connected and low-density fracture network affecting the ramp carbonates is likely less efficient in providing fairways for flowing hydrocarbons.  相似文献   

15.
1 .IntroductionStrongearthquakesmaybethemaindestructiveloadsforoffshoreengineeringestablishment.Theseabedoil gaspipelinenetworkisthelifelineforoffshoreoilfieldproductionandsupply .Thefailureofapipelinewillhaveadirecteffectonoilfieldproduction .Theconsequ…  相似文献   

16.
A neural network for implementing the Marcos `propagator' bearing estimation algorithm is presented. It is shown both analytically and by simulations that this neural network is guaranteed to be stable and to provide the results arbitrarily close to the accurate propagator operator and the orthogonal projection operator on the noise subspace within an elapsed time of only a few characteristic time constants of the network. The parameters such as the interconnection strengths and bias currents of this proposed network can be obtained from the cross-spectral matrix without any computations  相似文献   

17.
本文针对目前海洋观测网业务化运行的海洋站(点)缺少评价体系的现状,首次应用层次分析法进行海洋站(点)观测能力、运行质量等综合能力评价的研究。通过构建评价指标层次结构,结合定性和定量分析,构建判断矩阵,建立了层次分析法模型。对海洋站(点)的特点和影响其运行质量的主要因素进行分析,从海洋站(点)的布局、观测环境代表性、仪器设备、基础设施和运行管理等方面,设计了海洋站(点)综合评价体系,评价指标权重合理准确,可为海洋站(点)的综合评价和分级管理提供理论依据。  相似文献   

18.
溢油SAR图像分类中的纹理特征选择   总被引:5,自引:1,他引:5  
针对海洋SAR图像的特点,采用基于灰度共生矩阵的纹理分析方法,提出适用于海洋溢油SAR图像分类的纹理特征量。并讨论了纹理特征量的筛选和纹理窗口大小的确定等问题。最后采用人工神经网络方法验证了SAR图象分类效果。  相似文献   

19.
When trying to improve gas productivity from unconventional sources a first aim is to understand gas storage and gas flow potential through the rock by investigating the microstructure, mineralogy and matrix porosity of unfractured shale. The porosity and mineralogy of the Mulgrave Shale member of the Whitby Mudstone Formation (UK) were characterized using a combination of microscopy, X-ray diffraction and gas adsorption methods on samples collected from outcrops. The Whitby Mudstone is an analogue for the Dutch Posidonia Shale which is a possible unconventional source for gas. The Mulgrave shale member of the Whitby Mudstone Formation can microstructurally be subdivided into a fossil rich (>15%) upper half and a sub-mm mineralogically laminated lower half. All clasts are embedded within a fine-grained matrix (all grains < 2 μm) implying that any possible flow of gas will depend on the porosity and the pore network present within this matrix. The visible SEM porosity (pore diameter > 100 nm) is in the order of 0.5–2.5% and shows a non-connected pore network in 2D. Gas adsorption (N2, Ar, He) porosity (pore diameters down to 2 nm) has been measured to be 0.3–7%. Overall more than 40% of the visible porosity is present within the matrix. Comparing the Whitby Mudstone Formation to other (producing) gas shales shows that the rock plots in the low porosity and high clay mineral content range, which could imply that Whitby Mudstone shales could be less favourable to mechanical fracturing than other gas shales. Estimated permeability indicates values in the micro-to nano-darcy range.  相似文献   

20.
A neural-network approach to classification of sidescan-sonar imagery is tested on data from three distinct geoacoustic provinces of a midocean-ridge spreading center: axial valley, ridge flank, and sediment pond. The extraction of representative features from the sidescan imagery is analyzed, and the performance of several commonly used texture measures are compared in terms of classification accuracy using a backpropagation neural network. A suite of experiments compares the effectiveness of different feature vectors, the selection of training patterns, the configuration of the neural network, and two widely used statistical methods: Fisher-pairwise classifier and nearest-mean algorithm with Mahalanobis distance measure. The feature vectors compared here comprise spectral estimates, gray-level run length, spatial gray-level dependence matrix, and gray-level differences. The overall accurate classification rates using the best feature set for the three seafloor types are: sediment ponds, 85.9%; ridge flanks, 91.2%; and valleys, 80.1%. While most current approaches are statistical, the significant finding in this study is that high performance for seafloor classification in terms of accuracy and computation can be achieved using a neural network with the proper combination of texture features. These are preliminary results of our program toward the automated segmentation and classification of undersea terrain  相似文献   

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