煤层底板水害防治智能决策支持系统框架构建

煤层底板突水是华北型煤田煤矿生产过程中一种常见的水害类型,为解决水害防治工程的科学决策问题,进一步提高防治水工程的可靠性,提出构建智能决策支持系统的技术思路。智能决策支持系统是传统决策支持系统与人工智能技术相互融合的产物,在分析底板水害防治决策支持功能需求的基础上,提出“数据-模型-方案”一体化设计流程,从数据导入、模型驱动、智能决策等3个层次构建底板水害防治智能决策支持系统的基本框架。将模型驱动层进一步细分为方法库、模型库、知识图谱构建3项专业化服务,模型库包括底板突水空间点预测模型、疏水降压数值模拟模型、注浆改造工程可靠性分析模型、隔离工程设计模型及底板水害监测预警模型。系统最终输出的决策方案包括底板突水危险性分区、疏水降压Q-t-s方案、区域注浆改造设计及工程可靠性评价、隔离工程设计、底板突水监测预警警情发布。系统通过注浆过程的反馈-控制、突水监测预警的深度学习、疏水降压方案的动态优化等实现其智能决策。智能决策支持系统将会在煤层底板水害防治可靠性保障方面提供新的技术支撑。     

中国西部地区典型岩质滑坡机理研究

本文根据作者在中国西部地区多年的研究工作实践,对几类典型的大型岩质斜坡变形及失稳机理进行了较为深入的分析,重点阐述了这些大型滑坡形成的地质条件、斜坡变形过程及发生机理的"概念模型",其中包括滑移-拉裂-剪断的三段式模式、挡墙溃决模式、"超级强夯"模式等.这些机理及模式的提出,对这一地区的防灾减灾实践具有一定的指导意义.     

降雨诱发浅层黄土滑坡变形破坏机制

由降雨引发的浅层黄土滑坡灾害具有致灾性强、范围广、影响面积大等特点,是黄土高原地区危害严重的地质灾害类型。经典算法采用安全系数描述坡体稳定性,难以对坡体变形破坏的起始位置和实际失效面加以识别,限制了滑坡变形过程的描述和滑坡有效预测。以非饱和土吸应力理论为指导,基于Hydrus中的Slope Cube模块,建立黄土斜坡水-力耦合模型,结合黄土地区易滑坡形态统计数据,针对凸型、凹型、直线型3种坡型与30°、40°、50°三种坡度组合,计算了不同降雨条件下的坡体稳定性响应。结果表明,不同坡型的黄土斜坡对降雨条件具有明显的响应。相同降雨量、相同坡度条件下直线型坡发生浅表层破坏的可能性最低,凹型坡次之、凸型坡的稳定性最差。与之相对应的,相同条件下凸型坡失稳时间最短、凹型坡次之、直线型坡最长。本研究可为浅层滑坡的早期识别和预报提供支撑。     

浅谈灰土挤密桩与DDC桩在工程实践中应用与发展

DDC桩是挤密桩的一种新型桩。根据宝鸡某大型电厂中DDC桩与灰土挤密桩地基处理工程实例,从挤密机理、挤密效果、复合地基承载力与抗变形性状及复合地基浸水稳定性等诸方面进行了系统地分析对比,进而探讨挤密桩地基的应用与发展。     

浙江天目山超单元的地球化学特征及其成因机制探讨

通过详细的野外地质填图和岩石地球化学研究,发现分布在皖浙两省交界处的天目山一带的石英二长闪长岩、石英二长斑岩、石英正长(斑)岩体不仅在空间上相伴,且岩石化学、地球化学特征相近,又都与燕山期黄尖旋回的火山岩密切共生,亲缘关系较密切,将其归并为天目山超单元。该超单元为高钾钙碱性—钾玄岩系列,地球化学特点表明岩浆由造山带的山根或者加厚的双倍陆壳的下部熔融产生,为同源岩浆成分与结构演化序列,其侵位机制不仅受区域构造控制,而且还受火山机构制约,以被动式就位为主,少数可能兼有主动就位机制。     

青岛冷水团的消亡机理研究

本文基于多年月平均水温资料,分析了青岛冷水团的长消过程,并利用气候态月平均大气数据和数值模拟结果,探讨了青岛冷水团的消亡机理。结果表明,青岛冷水团3月出现,4月成型,5月最盛,6月减弱,7月消失;南黄海6-7月间偏南风的增强和温跃层以下反气旋涡的减弱是青岛冷水团消亡的动力机制,而海面净热通量的下传和水平热量的输入则是青岛冷水团消亡的热力机制。     

东海内陆架沉积物敏感粒级构成及其地质意义

沉积物粒级包含了大量的沉积环境信息,在古环境恢复和重建中被广泛应用。基于采自东海内陆架的三根沉积物岩芯,作者利用激光粒度分析方法研究了沉积物的粒度组成,确定了敏感性粒级,探讨了搬运机制及其环境意义。研究表明:东海内陆架现代沉积物含有大致相同的三个敏感性粒级,分别是粒级1(12μm)、粒级2(12—225μm)和粒级3(225μm)。从北到南敏感粒级具有逐渐细化的趋势,该趋势与长江入海沉积物向南搬运过程中发生的沉积分异作用有关。粒级1和粒级2分别由均匀悬浮次总体和递变悬浮次总体构成,而粒级3则由生物过程产生。结合该区的海洋动力特征,作者认为,粒级2可较好地用来指示冬季海洋动力强度,并具有揭示东亚冬季风强度的潜在意义。     

Optimal routing for waste collection: a case study in Singapore

ABSTRACT

To collect and dispose growing amounts of municipal solid waste (MSW) changed to be a hot topic along with the rapid urbanization in past decades. Cities are more and more dependent on the incineration instead of landfilling due to the cost-efficiency and environmental concerns. Considering the limited number of incineration plants and complicated situation of transportation in both spatial and temporal dimensions in different cities, the optimal routing for waste collection turns to be meaningful research topic. In this research, the ant colony optimization (ACO)-based multi-objective routing model coupled with min-max model and Dijkstra’s algorithm is proposed to address the question of which route to take from these waste-generating points to the target incineration plant(s) considering travel time, accident probability (black spots), and population exposure, so as to support the routing decision-making. The model is successfully implemented in Singapore and the effectiveness of the model has also been justified. Besides, few limitations of this research have also been discussed, some of which would also be the future directions of our research, especially the design and integration of a web-based routing decision-making support system.     

An Analytical Solution for Dynamic Response of the Plate with Different Impedances Subjected to Underwater Explosion

In this paper, the transmitted part of the incident wave is considered to revise Taylor’s solution, which is used to extend its application for analytical models to predict the response of the plate with different material properties. The influence of the material properties and the boundary condition of the plate on fluid and structural dynamics is systematically investigated. The analytical results are compared with those of detailed dynamic FE simulations and the two are in good agreement. The results indicate that the analytical method is valid and suitable for the plates with different material properties subjected to underwater explosion. It is found that Taylor’s results of the plate with small impedance are invalid, which indicates a potential application field for the analytical method.     

Multi-factor sensitivity analysis on the stability of submarine hydrate-bearing slope

There are many factors affecting the instability of the submarine hydrate-bearing slope (SHBS), and the interaction with hydrate is very complicated. In this paper, the mechanical mechanism of the static liquefaction and instability of submarine slope caused by the dissociation of natural gas hydrate (NGH) resulting in the rapid increase of pore pressure of gas hydrate-bearing sediments (GHBS) and the decrease of effective stress are analyzed based on the time series and type of SHBS. Then, taking the typical submarine slope in the northern South China Sea as an example, four important factors affecting the stability of SHBS are selected, such as the degree of hydrate dissociation, the depth of hydrate burial, the thickness of hydrate, and the depth of seawater. According to the principle of orthogonal method, 25 orthogonal test schemes with 4 factors and 5 levels are designed and the safety factors of submarine slope stability of each scheme are calculated by using the strength reduction finite element method. By means of the orthogonal design range analysis and the variance analysis, sensitivity of influential factors on stability of SHBS are obtained. The results show that the degree of hydrate dissociation is the most sensitive, followed by hydrate burial depth, the thickness of hydrate and the depth of seawater. Finally, the concept of gas hydrate critical burial depth is put forward according to the influence law of gas hydrate burial depth, and the numerical simulation for specific submarine slope is carried out, which indicates the existence of critical burial depth.