河南省洛阳—三门峡铝土矿地质特征及其勘查开发前景

河南省洛阳-三门峡的铝土矿，是赋存于中石炭统本溪组的一水硬铝石型沉积铝土矿。本区不仅蕴藏量多，而且有相当数量的富铝土矿，勘查开发潜力大，前景广阔。     

雷达遥感在澜沧江中下游地区锰矿调查评价中的应用

澜沧江吓游地区地处热带-亚热带，植被及第四系覆盖严重，应用雷达遥感技术可以初步揭露植覆盖，利用SAR图像识别主要岩石类型和构造形式，并圈定了主要含锰岩系，进而确定了成锰有利地段。     

耒宜高速公路路堑边坡变形破坏特征及其综合治理

耒宜高速公路修建于山岭重丘区 ,沿线地形、地质条件差异较大 ,路堑开挖边坡类型较多 ,特征不一。本文介绍了路堑边坡的主要特征、边坡失稳的主要原因及治理对策。     

某既有建筑物改造工程地基加固质量的综合检测

随着既有建筑物的增层改造工程的发展和技术的日益成熟 ,为了提高原有建筑物地基土强度和变形能力 ,对其基础加固处理也愈加频繁。如何准确有效地评价其地基加固质量及其空间变化的均匀性是关系此类工程安全可靠的重要保证。本文以某一工程为例 ,讨论既有建筑物增层改造工程的地基加固质量的检测和综合评价方法。该建筑物建于 5 0年代 ,原设计为 5层 ,现增层为 6层 ,采用高压注浆方法进行地基加固处理.     

黑龙江省矿区生态破坏与地质灾害及其防治

黑龙江省矿产分布情况和开发概况以及矿业开发在经济发展中占有重要地位 ;在矿业开发过程中引起的诸多生态破坏和地质灾害及其引起的危害 ,已引起高度重视 ;本文在综合论述黑龙江省矿区发展所带来各项利弊后提出了具体的防治对策。     

羌塘盆地那底岗日地区中侏罗世层序地层与碳、氧、锶同位素响应

羌塘盆地那底岗日地区中侏罗世沉积了一套稳定的滨浅海相碳酸盐岩与碎屑岩地层,通过层序地层研究划分出五个三级层序。对其中四个层序内碳酸盐岩碳、氧、锶稳定同位素测试分析得出,不同层序、层序界面及层序内不同体系域的δ13 C、δ180、N(87Sr/86Sr)值均有明显的差异,并具规律性变化,整体上反映出研究区中侏罗世发生了多次海平面升降变化和气候、构造活动的演变,为层序地层研究提供了定量的地质地球化学依据。     

海南岛农业地貌

本文在充分消化前人已有资料的基础上,论述了海南岛的主要地貌类型与地貌轮廓,阐明了海南岛地貌形成的条件与过程、地貌对农业生产的影响及农业地貌分区。     

基于MAPGIS的掌上电子平板的设计与实现

在测量单位，采用电子手簿进行野外测量是非常普遍的，但是电子手簿有个缺点就是只能记录点，无法查看所测图形。随着硬件的发展，使用掌上电脑，开发掌上电子平板，以其方便、灵活、图形可视性好、功能强大等优点可以取代传统的电子手簿。基于WINDOWS CE操作系统和MAPGIS平台，根据界面图形化、格式标准化、图形可视化等原则，设计了一个完整的集计算、采集、管理于一体的野外现场成图系统。该系统能够记录原始数据、图形以及属性，能够方便地注记文字；实现野外现场成图，无需内业进行编辑。同时，介绍了数据通讯、UNICODE编码、符号库设计、图形显示、修测等功能，以及实现方法。     

Structural damage detection using the optimal weights of the approximating artificial neural networks

This work presents a novel neural network‐based approach to detect structural damage. The proposed approach comprises two steps. The first step, system identification, involves using neural system identification networks (NSINs) to identify the undamaged and damaged states of a structural system. The partial derivatives of the outputs with respect to the inputs of the NSIN, which identifies the system in a certain undamaged or damaged state, have a negligible variation with different system errors. This loosely defined unique property enables these partial derivatives to quantitatively indicate system damage from the model parameters. The second step, structural damage detection, involves using the neural damage detection network (NDDN) to detect the location and extent of the structural damage. The input to the NDDN is taken as the aforementioned partial derivatives of NSIN, and the output of the NDDN identifies the damage level for each member in the structure. Moreover, SDOF and MDOF examples are presented to demonstrate the feasibility of using the proposed method for damage detection of linear structures. Copyright © 2001 John Wiley & Sons, Ltd.     

Optimal design of passive energy dissipation systems based on H∞ and H2 performances

Passive energy dissipation devices (EDDs), such as viscous dampers, viscoelastic dampers, etc., have been used to effectively reduce the dynamic response of civil infrastructures, such as buildings and bridges, subject to earthquakes and strong winds. The design of these passive energy dissipation devices (EDDs) involves the determination of the optimal locations and the corresponding capacities. In this paper, we present two optimal design methodologies for passive EDDs based on active control theories, including H_∞ and H₂ performances, respectively. The optimal design methodologies presented are capable of determining the optimal locations and the corresponding capacities of EDDs. Emphasis is placed on the application of linear matrix inequality (LMI) for the effective design of passive EDDs using the popular MATLAB toolboxes. One important advantage of the proposed approaches is that the computation of the structural response is not needed in the design process. The proposed optimal design methodologies have been applied to: (i) a 10‐storey building and a 24‐storey building both subject to earthquake excitations, and (ii) a 76‐storey wind‐excited benchmark building, to demonstrate the advantages of the proposed design methodologies over the conventional equal capacity design. Copyright © 2002 John Wiley & Sons, Ltd.