���ʻ���̽��ƻ���չ���й������������������ƻ��о�

??????????????????????????????????????????????????? ????SGG-Doppler??VLBI???????????????????????????й???????????????????????????????SGG-Doppler-VLBI????????????????????????     

Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques

A reliable and accurate prediction of the tunnel boring machine(TBM) performance can assist in minimizing the relevant risks of high capital costs and in scheduling tunneling projects.This research aims to develop six hybrid models of extreme gradient boosting(XGB) which are optimized by gray wolf optimization(GWO), particle swarm optimization(PSO), social spider optimization(SSO), sine cosine algorithm(SCA), multi verse optimization(MVO) and moth flame optimization(MFO), for estimation of the TBM penetration rate(PR).To do this, a comprehensive database with 1286 data samples was established where seven parameters including the rock quality designation, the rock mass rating, Brazilian tensile strength(BTS), rock mass weathering, the uniaxial compressive strength(UCS), revolution per minute and trust force per cutter(TFC), were set as inputs and TBM PR was selected as model output.Together with the mentioned six hybrid models, four single models i.e., artificial neural network, random forest regression, XGB and support vector regression were also built to estimate TBM PR for comparison purposes.These models were designed conducting several parametric studies on their most important parameters and then, their performance capacities were assessed through the use of root mean square error, coefficient of determination, mean absolute percentage error, and a10-index.Results of this study confirmed that the best predictive model of PR goes to the PSO-XGB technique with system error of(0.1453, and 0.1325), R~2 of(0.951, and 0.951), mean absolute percentage error(4.0689, and 3.8115), and a10-index of(0.9348, and 0.9496) in training and testing phases, respectively.The developed hybrid PSO-XGB can be introduced as an accurate, powerful and applicable technique in the field of TBM performance prediction.By conducting sensitivity analysis, it was found that UCS, BTS and TFC have the deepest impacts on the TBM PR.     

周莲英同志在全省国土资源财务工作会议上的讲话

这次会议是经厅党组研究决定召开的.会议的主要任务是,总结工作,交流经验,安排部署今年的财务工作,动员全省国土资源系统广大财务工作人员进一步解放思想,更新观念,以科学发展观为统领,围绕国土资源工作中心,进一步深化财政改革,完善经济手段,增强服务意识,强化财务监管,依法使用好各项资金,不断提升财务管理水平,为全省国土资源事业的发展提供可靠的财政保障.     

西藏洞错晚白垩世花岗闪长斑岩: 岩石圈拆沉的产物

班公湖-怒江缝合带是国内外备受关注的特提斯构造域的重要组成部分,可为恢复和反演特提斯洋构造演化提供重要依据。对南羌塘地块南缘洞错地区晚白垩世花岗闪长斑岩进行了详细的岩石学、锆石U-Pb定年、全岩地球化学和Lu-Hf同位素研究。锆石U-Pb定年和Lu-Hf同位素研究结果显示,该花岗闪长斑岩形成时代为74.1±1.1 Ma,εHf（t）值为4.5~6.9。全岩地球化学特征显示,其为高钾钙碱性系列,富集轻稀土元素,轻重稀土元素分馏较强,具弱负Eu异常;富集Rb、Th、U、K和Pb,亏损Ba、Nb、Ta、La、Ce、P和Ti。该花岗闪长斑岩为加厚新生下地壳部分熔融的产物。在综合区域最新研究成果的基础上,认为该花岗闪长斑岩形成于后碰撞环境,为班公湖-怒江洋闭合后岩石圈拆沉的产物。     

四川九寨黄龙机场高填方地基变形三维动力分析

四川九寨黄龙机场具有高填方、高地震烈度、高海拔等三高的特点,高填方体地基在地震作用下的动力稳定与变形问题成为该机场需着重考虑的主要工程地质问题之一。在对目前各种动力分析方法研究的基础上,选用快速拉格郎日差分分析(FLAC)程序,对该机场元山子沟段高填方地基在地震作用下的变形规律进行了系统地研究,获得了一些有实际意义的认识。