Experimental observation on the characteristics of the near-surface turbulence over the Antarctic ice sheets during the polar day period

Based on the ultrasonic anemometer/thermometer data in the East Antarctic coastal area ice sheets ob-tained first by Chinese scientists, turbulent intensity, kinetic energy and sensible heat of turbulence, surface roughness height drag coefficient and normalized variation were calculated and analysed using the eddy-correlation method. The results show that the values of roughness height and drag coefficient are 4.3 X 10 m and 1.8x 10 -³, respectively. These turbulent parameters have apparent diurnal variations. Project supported by the National Natural Science Foundation of China (Grant No. 49675252).     

The introduction of neural network system and its applications in rock engineering

The neural network system has been developing very fast recently. It has been widely used in many industries such as automation, nuclear power plant, chemical industry, etc. Neural network systems have a great advantage in dealing with problems in which many factors influence the process and result, and the understanding of this process is poor, and there are experimental data or field data. In rock engineering, many problems are of this nature. In this paper, a brief introduction to neural network systems is given. Problems such as what is a neural network, how it works and what kind of advantages it has are discussed. After this, several applications in rock engineering, made by us, are presented. Case 1 is ore boundary delineation. In this case, the rock are divided into three classes, i.e.: (1) waste rock; (2) semi-ore; and (3) ore for mining purposes. The neural network system built can judge whether it is ore, semi-ore or waste rock along the borehole according its corresponding geophysical logging data, such as gamma-ray, gamma-gamma, neutron and resistivity. Case 2 is aggregate quality prediction. In this case, the quality parameters: (1) impact value; (2) abrasion value I; and (3) abrasion value II are predicted by using a neural network system based on density, point load, content of quarts and content of brittle minerals. Case 3 is rock indentation depth prediction. In this case, the rock indentation depth under indentation load is predicted by the established neural network system based on the indentation load on rock, indenter type and rock mechanical properties, such as uniaxial compressive strength, Young's modulus. Poisson's ratio, critical energy release rate and density. In all these cases, the neural network systems have been applied successfully. The testing results are satisfactory and better than the existing techniques.     

Numerical Simulation of the Graben-Forming Process in Southern Xizang

I.INTRODUCTION It iS generally accepted that the stress state in the upper crust and upper mantle in the southernQinghai—Xiz~g Plateau is essentially extensional(Molnar and Tapponnier,1978;Chen and Molnar,1983:Armijo et a1.,1986).Data offocal.mechanism     

用欧拉方程估算埋深和形状因数

本文论述了用欧拉方程估算埋深和形状因数的方法原理,并用模型计算加以验证,最后用湖南某地含原生金刚石的钾镁煌斑岩筒上的ΔＴ异常证实这种估算方法是值得推广的。     

浅层地震技术在隧道勘察中的应用

论述了在深圳市东部沿海高速公路隧道勘察中,应用浅层地震勘探方法查明地下地质构造、风化带、分层等,并根据资料解释成果、钻探资料和工区地质资料,对隧道开挖过程中可能遇到的断层及塌陷等情况进行了讨论。     

焦作矿区煤层气开发地质综合评价

应用层次分析法,从影响煤层气开发的各种地质条件出发,对矿区进行了综合地质评价,寻找出有利于煤层气开发的区域。     

察尔汗盐湖盐田渗漏及其工程地质条件分析

１９８１年以来对察尔汗盐湖三次渗漏试验结果表明,盐田渗漏是盐田土层与外界条件综合作用的结果,在盐田建设和生产管理过程中,应结合不同地点的土层特性、工程地质条件和其它有关条件,采取不同的处理措施。     

铁路隧道的施工工程地质及围岩量测数据处理系统

讨论了铁路隧道的施工工程地质工作的内容及必要性,并介绍围岩变形量测及其数据处理系统。     

滨海城市工程地质环境类型划分及其特征研究

滨海城市是我国国民经济和社会发展的重要地区,又处于大陆与海洋交界地带,地质环境比较脆弱。提出了滨海城市工程地质环境类型划分原理,将滨海城市按照工程地质环境特征划分为四大类型：即滨海平原型城市、滨海山地平原型城市、滨海平原山地型城市、滨海山地型城市,并对其工程地质环境特征进行了研究。     

用好ISO9000标准，确保土工试验质量

强调过程控制是ISO9000族标准的精华。深入领会ISO9000标准,通过转化分配用好ISO9000模式中每个要素的规定,是改进我公司土工试验生产过程管理,提高土工试验质量的保证。