Simulation of Stress Distribution around Tunnels and Interaction between Tunnels Using an Elasto–plastic Model

This article presents a computer simulation of stress distribution around tunnels and interaction between tunnels using an elasto-plastic model. A finite element method using ANSYS software has been used for the analyses of one and two tunnels at different overburden depths with different separating distances between the tunnels. The results of numerical analyses indicate that stress distribution and stress concentration around the tunnels vary with the overburden depths. It is found that the coefficients of stress concentration for elasto-plastic medium are smaller than those for elastic one by 1.9%. Furthermore, the interaction between the two tunnels rapidly decreases with the increase of separation distance between them. In addition, for quantitatively describing the interaction between the two tunnels, a critical separation distance is introduced. The critical separation distances between the two tunnels at different overburden depths are 8 m, 12 m, and 14 m respectively. This fact is very important and essential for the design of mining tunnels and to ensure safety in tunnel engineering.     

三种地下水位动态预测模型在吉林西部的应用与对比

准确而可靠地预测地下水埋深对生态环境保护和水资源规划管理具有重要意义。针对吉林西部浅层地下水位动态变化的复杂性和非线性,提出了基于小波分析与人工神经网络相结合的预测方法小波神经网络(WA-ANN)模型。将研究区2002年1月2009年12月当月降水量、蒸发量、人工开采量和前月平均地下水埋深4个参数作为输入,当月平均地下水埋深作为输出,建立浅层地下水埋深预测模型,并与BP神经网络(BP-ANN)模型和自回归移动平均(ARIMA)模型进行比较,对比分析了三者的建模过程及其模拟精度。结果显示:相比两种ANN模型,ARIMA模型建模过程更为简单,计算效率更高;但WA-ANN模型的拟合精度高于BP-ANN和ARIMA模型,预测效果更好。总体来看,WA-ANN模型在浅层地下水埋深预测中具有一定的应用推广价值。     

激光拉曼光谱法在单个流体包裹体研究中的应用进展

激光拉曼光谱法以其非破坏性、高灵敏度和高分辨率等特性,一直以来都是研究流体包裹体的重要方法之一。近年来,围绕激光拉曼光谱在流体包裹体中的应用而展开的研究主要集中在半定量-定量测试方面,即在准确定性的基础上,采用高斯-洛仑兹去卷积分峰、低温原位等定量方法获取流体包裹体的成分和含量,从而克服了激光拉曼光谱法应用于溶液中阳离子的定量分析的灵敏度、准确度较低的问题,不仅能获得流体包裹体中一些常温下不具拉曼活性的盐类物质拉曼特征峰信息,还能根据特征峰与浓度、内压之间的线性关系,进一步对盐度和压力等性质进行测定,从而拓展了激光拉曼光谱法在流体包裹体中的应用范围。本文对激光拉曼光谱法应用于分析流体包裹体成分、盐度、同位素和压力所取得的最新进展进行了评述,并认为随着分析测试技术的不断进步,激光拉曼光谱法未来的分析方向也将继续围绕多元复杂体系及其定量方面的研究展开。     

Drought prediction using in situ and remote sensing products with SVM over the Xiang River Basin,China

Natural Hazards - Droughts have caused many damages in many countries and might be aggravated around the world. Therefore, it is urgent to predict and monitor drought accurately. Soil moisture and...     

主键约束在数字化前兆数据服务软件中的关键运用

数字化前兆数据库是一个分布式网络数据库SQLServer,数据库的建成运用为预报人员的日常数据分析提供了一个准确的、完整的资源平台。为考虑数据库设计完整性规则 ,本文着重讲述建立两套前兆数据库的过程中 ,主键约束在数字化前兆数据服务软件EPDS的建库及入库中起的重要作用。     

Time–frequency characteristics and trend feature of the ENPEMF signal before Lushan $${{\varvec{M}}}_{{\varvec{w}}}$$ M w 6.6 earthquake via DE-DDTFA method

Natural Hazards - The Earth's natural pulse electromagnetic field (ENPEMF) signal, is generally considered to be a nonlinear or nonstationary signal received from our instrument, placed on the...     

Combining AHP and genetic algorithms approaches to modify DRASTIC model to assess groundwater vulnerability: a case study from Jianghan Plain,China

Accurate identification of vulnerability areas is critical for groundwater resources protection and management. The present study employed the modified DRASTIC model to assess the groundwater vulnerability of Jianghan Plain, a major farming area in central China. DRASTICL model was developed by incorporating the land use factor to the original model. The ratings and weightings of the selected parameters were optimized by analytic hierarchy process (AHP) method and genetic algorithms (GAs) method, respectively. A combined AHP–GAs method was proposed to further develop this methodology. The unity-based normalization process was employed to categorize the vulnerability maps into four types, such as very high (>0.75), high (0.5–0.75), low (0.25–0.5), and very low (<0.25). The accuracy of vulnerability mapping was validated by Pearson’s correlation coefficient between vulnerability index and the nitrate concentration in groundwater and analysis of variance F statistic. The results revealed that the modified DRASTIC model had a large improvement over the conventional model. The correlation coefficient increased significantly from 41.07 to 75.31% after modification. Sensitivity analysis indicated that the depth to groundwater with 39.28% of mean effective weight was the most critical factor affecting the groundwater vulnerability. The developed vulnerability model proposed in this study could provide important objective information for groundwater and environmental management at local level and innovation for international researchers.     

Destressing Mechanics Effect of Surrounding Rock Induced by Blasting Precondition at Deep Drift Development

Geotechnical and Geological Engineering - Using a detailed modeling simulation technology, a mechanics simulation model was constructed, including multiple development rounds, stress relief holes...