|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A statistical model for porous structure of rocks显示文摘The geometric features and the distribution properties of pores in rocks were in- vestigated by means of CT scanning tests of sandstones. The centroidal coordi- nates of pores, the statistic characterristics of pore distance, quantity, size and their probability density functions were formulated in this paper. The Monte Carlo method and the random number generating algorithm were employed to generate two series of random numbers with the desired statistic characteristics and prob- ability density functions upon which the random distribution of pore position, dis- tance and quantity were determined. A three-dimensional porous structural model of sandstone was constructed based on the FLAC3D program and the information of the pore position and distribution that the series of random numbers defined. On the basis of modelling, the Brazil split tests of rock discs were carried out to ex- amine the stress distribution, the pattern of element failure and the inosculation of failed elements. The simulation indicated that the proposed model was consistent with the realistic porous structure of rock in terms of their statistic properties of pores and geometric similarity. The built-up model disclosed the influence of pores on the stress distribution, failure mode of material elements and the inosculation of failed elements. | JU Yang1,2, YANG YongMing1, SONG ZhenDuo3 & XU WenJing4 1 State Key Laboratory of Coal Resources and Safe Mining, China University of Mining & Technology, Beijing 100083, China 2 Department of Mechanical and Manufacturing Engineering, The University of Calgary, 2500 University Drive NW Calgary, AB T2N 1N4, Canada 3 China National Coal Mining Equipment Co. Ltd, Beijing 100011, China 4 Department of Materials and Metallurgy, The University of Utah, Salt Lake City, Utah 84112, USA | 2008 | Science China(Technological Sciences)2008，51，11： | 21 |
| 2 | Remote sensing and geographic information systems in the spatial temporal dynamics modeling of infectious diseases显示文摘Similar to species immigration or exotic species invasion,infectious disease transmis-sion is strengthened due to the globalization of human activities. Using schistosomiasis as an exam-ple,we propose a conceptual model simulating the spatio-temporal dynamics of infectious diseases. We base the model on the knowledge of the interrelationship among the source,media,and the hosts of the disease. With the endemics data of schistosomiasis in Xichang,China,we demonstrate that the conceptual model is feasible; we introduce how remote sensing and geographic information systems techniques can be used in support of spatio-temporal modeling; we compare the different effects caused to the entire population when selecting different groups of people for schistosomiasis control. Our work illustrates the importance of such a modeling tool in supporting spatial decisions. Our mod-eling method can be directly applied to such infectious diseases as the plague,lyme disease,and hemorrhagic fever with renal syndrome. The application of remote sensing and geographic informa-tion systems can shed light on the modeling of other infectious disease and invasive species studies. | GONG Peng 1,XU Bing 2 & LIANG Song 1、3 1. State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote Sensing Applications,Chi-nese Academy of Sciences and Beijing Normal University,Box 9718,Beijing 100101,China 2. Department of Geography,University of Utah,Salt Lake City,UT 84112,USA 3. School of Public Health,University of California,Berkeley,CA 94720,USA | 2006 | Science China(Life Sciences)2006，49，6： | 5 |
| 3 | Effects of lead,cadmium,mercury chlorides and aquatic environmental samples on the growth of Escherichia coli显示文摘In this paper it was reported that PbCl_2 , CdCl_2 , HgCl_2, and aquatic environmental samples con-taining Al, Cd, Cu, Pb, Sr, Zn and other heavy metal ions as well as organic chemicals suppressed thegrowth of E. coli only at higher exposed concentrations | Xu Chao(Department of Environmental Science and Engineering , Nanjing University , Nanjing 210093 , China)Yuan Jing(Department of Plants , Soils , and Biometeorology , Utah State University , Logan , Utah 84322-4820, U. S. A)Xu Heping(Environmental Monito | 1995 | Journal of Environmental Sciences1995，7，4： | 2 |
| 4 | A new method for the determination of flow directions and upslope areas in grid digital elevation models显示文摘 | David G Tarboton Utah Water Research Laboratory Utah State University Logan | 1997 | Water Resources Research1997，33，2： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员