量子理论中一个定理的随机推广     

欧谦宁 《成都信息工程学院学报》2010,25(2):223-225

随机情况下的量子理论有着更广泛的实际应用,所以利用数学期望将量子理论中的一个重要定理在随栅隋况下作了推广,证得这个定理对随机自相似集也成立,这对进一步研究随机自相似集的量子维数和量子误差提供了理论依据,丰富了量子理论．  相似文献   

双轴应力下非贯通节理岩体压缩损伤本构模型     

刘红岩  邢闯锋  张力民 《岩土力学》2016,37(9):2610-2616

针对目前节理岩体损伤变量定义中大多仅考虑节理长度、倾角等几何性质,而未考虑节理抗剪强度等力学性质的不足,基于断裂力学中的由于单个节理存在引起的附加应变能增量与损伤力学中的损伤应变能释放量相关联的观点,推导出了在双轴应力下含单条非贯通闭合节理岩体的损伤变量计算公式,并根据断裂力学理论对双轴压缩荷载下的单个节理尖端应力强度因子计算方法进行了研究,得出了应力强度因子KⅠ、KⅡ的计算公式;同时考虑多节理间的相互作用,给出了单组单排及单组多排非贯通节理尖端应力强度因子计算公式,由此建立了相应的节理岩体双轴压缩损伤本构模型,并利用该模型进行了相应的算例分析。结果表明：对含单条非贯通闭合节理的岩体而言,当节理倾角小于其内摩擦角时,岩体强度与完整岩石相同,岩体损伤为0,而后随着节理倾角增加,岩体强度、损伤随节理倾角的变化分别呈开口向上及向下的抛物线,当节理倾角约为60°时,岩体损伤最大,强度最低。随着节理长度增加,岩体损伤增加,而随着节理内摩擦角的增加,岩体损伤则减小;对含单组单排非贯通闭合节理的岩体而言,当节理总长度一定时,随着单条节理长度的减小及节理条数的增加,岩体损伤则逐渐减小,但其减小幅度与节理条数并不呈线性关系。  相似文献   

基于水平集法的非均质岩石建模及水力压裂传播特性研究     

李明  郭培军  李鑫  梁力 《岩土力学》2016,37(12):3591-3597

基于水平集法的基本思想,讨论了含有不同类型包裹体分布的岩石的二维和三维有限元建模方法。对于二维有限元模型的建立,考虑了以椭圆形为例的规则包裹体的周期分布、位置及包裹体大小均随机变化的多种情况。建议了包裹体和基岩之间界面的材料特性过渡处理方法。同时给出了含有非规则形状包裹体的建模方法。对于三维有限元模型的建立,则考虑了以任意大小椭球体为例的包裹体分布情况。该种建模方法的优点是对于不同的含有任意分布的包裹体的岩石试件,均可以采用相同的有限元网格,即,材料特性的变化不受有限元网格的制约。该法缺点是增加了计算资源。最后结合基于弥散裂缝模型的水力压裂数值计算方法,模拟了含有不同包裹体分布的岩石试件的水力压裂传播特点。  相似文献   

川南煤田古叙矿区煤层气勘探选层的探讨   总被引：1，自引：0，他引：1  

尹中山 《中国煤炭地质》2009,(2):24-27

川南煤田煤炭资源占四川省煤炭资源的60％以上,评价的煤层气资源最占80％以上。通过煤炭资源勘查、煤层气参数外资料分析,认为将龙潭组全段作为一个目的层段研究,将有助于全方位客观评价四川省煤层气的勘探开发前景。根据煤层间距小、储层参数差异小、含气量高等条件提出了以C12-C14、C15-C21、C23-24C、C25煤层群（组）作为目的煤层的观点,并提出必须加大施工排量、多打铺垫液、提高加砂浓度的压裂改造等建议,以期对南方小盆地多煤层的煤层气开发提供新的思路。  相似文献   

基于Monte Carlo-BP神经网络TBM掘进速度预测   总被引：1，自引：0，他引：1  

温森  赵延喜  杨圣奇 《岩土力学》2009,30(10):3127-3132

预测隧道工程中TBM掘进速度,主要有完全经验的、半理论半经验的模型和人工智能等方法,所用参数均为确定性的,未考虑参数存在的随机性,故导致预测结果的不准确性。基于此,提出了Monte Carlo-BP神经网络TBM掘进速度预测模型,着重考虑了一些重要输入参数的随机性, 其中输入参数重要性的大小通过粗糙集进行计算排序。采用Monte Carlo产生随机数时,由于参量的样本数据的有限,分布函数均采用阶梯形经验分布函数。如果采用的数据是来自不同类型的 TBM,则应当考虑机器性能参数,并重新对参数重要性进行排序。实例计算表明,Monte Carlo-BP神经网络模型预测结果和实测值总体趋势和均值比较一致。  相似文献   

A GEOGRAPHICAL ANALYSIS OF IMAGE INTERPRETATION METHODS     

《The Professional geographer》2013,65(3):264-269

Image interpretation methods, procedures for relating image pattern to ground conditions, are essential to our use of remote sensing imagery. These methods can be analyzed in respect to the role of ancillary information in the image interpretation process. In general, those procedures that are comparatively independent of ancillary information can be applied in varied geographic settings. Because almost all interpretation procedures depend to some extent upon ancillary information, a detailed and integrated knowledge of the cultural and physical landscape is a prerequisite for both manual and automated interpretation procedures.  相似文献   

Modelling sustainable urban growth in a rapidly urbanising region using a fuzzy-constrained cellular automata approach     

Yan Liu 《International journal of geographical information science》2013,27(1):151-167

This article presents an application of a fuzzy-constrained cellular automata model to simulate the spatio-temporal processes of urban growth in the rapidly growing Gold Coast City in Southeast Queensland, Australia. Urban growth has been captured in the model as a continuous process in space and over time, which has been affected by a set of primary and secondary transition rules. The primary transition rules deal with the propensity of a local area for development and the impact of its neighbouring cells on such development, while the secondary transition rules reflect the influences of environmental and institutional factors on urban growth. Application of the model demonstrates its re-applicability to different regions and the effectiveness of the cellular automata technique in studying urban dynamics. It also provides tools to explore sustainable urban growth options under different socio-environmental and planning control factors. A sustainable urban future of the region is achievable if development is managed to maintain a balance amongst ecological conservation, economic growth and the contemporary Australian lifestyle.  相似文献   

Approximation of Gaussian spatial autoregressive models for massive regular square tessellation data     

Daniel A. Griffith 《International journal of geographical information science》2013,27(12):2143-2173

Most of the literature to date proposes approximations to the determinant of a positive definite n × n spatial covariance matrix (the Jacobian term) for Gaussian spatial autoregressive models that fail to support the analysis of massive georeferenced data sets. This paper briefly surveys this literature, recalls and refines much simpler Jacobian approximations, presents selected eigenvalue estimation techniques, summarizes validation results (for estimated eigenvalues, Jacobian approximations, and estimation of a spatial autocorrelation parameter), and illustrates the estimation of the spatial autocorrelation parameter in a spatial autoregressive model specification for cases as large as n = 37,214,101. The principal contribution of this paper is to the implementation of spatial autoregressive model specifications for any size of georeferenced data set. Its specific additions to the literature include (1) new, more efficient estimation algorithms; (2) an approximation of the Jacobian term for remotely sensed data forming incomplete rectangular regions; (3) issues of inference; and (4) timing results.  相似文献   

基于粗糙集理论的地震前兆综合预测研究     

杨柳 《地震地磁观测与研究》2013,(5):40-45

以实际震例的异常数据为样本,利用粗糙集理论的离散、约简和推理功能,对地震前兆异常属性进行约简,进而对地震震级进行推理分类.初步结果表明,该方法可以在一定程度上找到异常数据与震级之间的内在联系,是一种可行的地震前兆综合预测方法.  相似文献   

Development of a data mining method for land control     

Wang Shuliang  Wang Xinzhou  Shi Wenzhong 《地球空间信息科学学报》2013,16(1):68-76

Land resources are facing crises of being misused, especially for an intersection area between town and country, and land control has to be enforced. This paper presents a development of data mining method for land control. A vector-match method for the prerequisite of data mining i. e., data cleaning is proposed, which deals with both character and numeric data via vectorizing character-string and matching number. A minimal decision algorithm of rough set is used to discover the knowledge hidden in the data warehouse. In order to monitor land use dynamically and accurately, it is suggested to set up a real-time land control system based on GPS, digital photogrammetry and online data mining. Finally, the means is applied in the intersection area between town and country of Wuhan city, and a set of knowledge about land control is discovered.  相似文献