A critical state model for sands dependent on stress and density

An elastoplastic model for sands is presented in this paper, which can describe stress–strain behaviour dependent on mean effective stress level and void ratio. The main features of the proposed model are: (a) a new state parameter, which is dependent on the initial void ratio and initial mean stress, is proposed and applied to the yield function in order to predict the plastic deformation for very loose sands; and (b) another new state parameter, which is used to determine the peak strength and describe the critical state behaviour of sands during shearing, is proposed in order to predict simply negative/positive dilatancy and the hardening/softening behaviour of medium or dense sands. In addition, the proposed model can also predict the stress–strain behaviour of sands under three-dimensional stress conditions by using a transformed stress tensor instead of ordinary stress tensor. Copyright © 2004 John Wiley & Sons, Ltd.     

Identification of physical processes inherent in artificial neural network rainfall runoff models

The emergence of artificial neural network (ANN) technology has provided many promising results in the field of hydrology and water resources simulation. However, one of the major criticisms of ANN hydrologic models is that they do not consider/explain the underlying physical processes in a watershed, resulting in them being labelled as black‐box models. This paper discusses a research study conducted in order to examine whether or not the physical processes in a watershed are inherent in a trained ANN rainfall‐runoff model. The investigation is based on analysing definite statistical measures of strength of relationship between the disintegrated hidden neuron responses of an ANN model and its input variables, as well as various deterministic components of a conceptual rainfall‐runoff model. The approach is illustrated by presenting a case study for the Kentucky River watershed. The results suggest that the distributed structure of the ANN is able to capture certain physical behaviour of the rainfall‐runoff process. The results demonstrate that the hidden neurons in the ANN rainfall‐runoff model approximate various components of the hydrologic system, such as infiltration, base flow, and delayed and quick surface flow, etc., and represent the rising limb and different portions of the falling limb of a flow hydrograph. Copyright © 2004 John Wiley & Sons, Ltd.     

叠加变形有限应变分解及其应用探讨

本文提出了二维不同类型叠加变形的有限应变分解方法。只要测定有限应变及能代表各期主应变面的面理或剪切指向,就可以计算出各期构造应变。     

Under‐ice salinity and stable isotope distribution of Saroma‐ko Lagoon,Hokkaido, northern Japan

In winter, lakes and lagoons at high altitudes or high latitudes have interesting hydrological cycles that differ from those in other seasons or in other regions, because water surfaces are covered with ice. Hydrological balances of lakes and lagoons are complex dynamic systems, and to elucidate them, isotopic tracers of water have been used as effective tools along with observations of precipitation, evaporation, inflows, and outflows. Here, to understand hydrological processes during freezing periods in the brackish Saroma‐ko Lagoon, Hokkaido, northern Japan, we examined horizontal and vertical distributions of salinity and isotope compositions of lagoon water and ice in 2005 and 2006. Horizontal and vertical gradients of salinity and isotope compositions were observed from the river mouth to the sea channel, and factors determining these distributions were considered. The mixing of freshwater and seawater and a freezing effect were presumed to be factors in relationships between salinity and isotopes and in relationships between surface waters and ice just above the water. A simple box model for water balance was constructed based on these putative factors to reproduce the distributions of salinity and isotope compositions of surface waters and ice. An evaluation of the model revealed that this hydrological system is controlled primarily by horizontal advection of the epilimnion, freshwater influx, and the ice growth rate. Copyright © 2009 John Wiley & Sons, Ltd.     

地震自相似现象初探

依据破裂过程和震源物理参数相似性,给出了自相似震源椭球体三轴之比约为a:b:c=1:0.2:0.2。基于分维理论和方法,讨论了自相似的地震时空分布的分维和强震前的降维现象。由前兆展布范围,大震前区域地震活动特征以及地震空区等可导出近源前兆(红肿)区线性尺度约为震源区的5倍。     

中国海岸线分维及其性质研究

根据分形理论,系统研究了中国海岸线分维及其性质。得出了基本结论：(1)中国海岸线的分形结构客观存在,在1：2500000地图上标定中国大陆海岸线长度的分形关系式为lgL=-3．9929-O．1597lgr(式中,L为中国大陆海岸线长度;r为测量标度);(2)使用量规法与网格法计算出中国大陆海岸线分维分别为1．1597和1．0707,台湾岛海岸线分维分别为1．0381和1．0025,等等;(3)进行海岸线分维横纵向比较,应遵循相同的分维计算方法。对于同一条海岸线而言,用量规法所得分维大干用网格法所得分维,且用量规法所得分维相对较大,则根据网格法所得分维亦相对较大;(4)在中国海岸线量规法与网格法分维计算结果之间可以建立关系式Dd=2．5932Db-1．5363(式中,Db为根据网格法计算所得分维;Dd为根据量规法计算所得分维);(5)随着从渤海到南海(由北至南)的空间变化,中国各大海域海岸线分维显现出一个由北至南逐渐变大的趋势,而海岸带物质组成、生物、气候等因素的南北变化或差异是导致中国海岸线分维南北空间变化的内在原因;(6)整个中国大陆海岸线的分维并不等于其组成部分分维的算术平均值;(7)台湾岛海岸线受到了断层系的强烈影响,这可能是台湾岛(东部)海岸线分维较小的内在机制所在。     

分形几何在岩土力学研究中的过去、现在与未来

首先简略地介绍了分形几何理论及其方法。从岩土材料结构的定量描述、流体在岩土体中的渗流问题、岩土材料强度的分形模型和分形空间的力学特征四个方面叙述了分形理论在岩土力学研究中取得的成果及应用。指出只有将岩土力学系统在欧氏空间的各种基本变量、原理和方法向分形空间推广和拓展,才能产生对岩土材料非线性力学行为的新认识,这也是分形理论在岩土力学研究中进一步深化的基础。     

二维黄金分割法在抗滑桩截面优化设计中的应用

在对抗滑桩截面宽度和截面高度与抗滑桩费用之间的关系进行综合讨论分析的基础上,引入二维黄金分割法与计算机编程方法,编制了专门的计算软件对抗滑桩截面进行优化设计,以实现满足抗滑要求的前提下使单抗滑桩工程总费用达到最低的优化目的.在三峡库区某工程的实例应用表明,该方法具有良好的社会经济效益,对滑坡的治理设计具有较重要的实际应用价值.     

漠阳江入海口海岸线分维及其机制分析

分维数是反映海岸线复杂程度的客观依据。结合国内外海岸线分形研究进展,本文以漠阳江入海口附近海域为研究区,基于Landsat 8 OLI遥感影像对研究区域提取瞬时水边线,并利用潮汐数据进行校正得到海岸线;利用Fractal Fox2.0计算获得该海岸线的分维数为1.071;通过对研究区的分形机制分析,认为漠阳江附近的断裂构造对海岸起宏观控制作用,从而对海岸线的分维值也起了决定作用。根据断裂体系模型计算得到西侧海岸线的理论分维值为1.089,而对数螺线模型计算得到东侧海岸线的分维值为1.171;实际分维值相对理论值偏小,说明海岸带的沉积与侵蚀影响了分维值。此外,根据本区海岸侵蚀原因的分析,对分维机制进行了探究,初步论证的分维值大小可为海岸的冲淤变化研究提供参考。     

某花岗岩型铀矿田断裂构造的分形特征

基于分形理论,提出了一种快速测量多区断裂分维值的方法,并获得了研究区断裂分维值的平面等值图。研究结果表明,断裂分维值的大小较好地反映了断裂构造复杂程度的高低,它们之间存在着正相关关系。研究区花岗岩型铀矿田内约有86%的铀矿床位于断裂分维值D偏高(D>1.18)的区域内,表明断裂分维值越大,越有利于花岗岩型铀矿成矿,为建立该区花岗岩型铀矿新的预测标志提供了参考依据。