资源勘查图件计算机辅助编绘系统的结构分析与开发策略研究

如何站在信息系统的高度来进行资源图件计算机辅助编绘系统的快速开发，是资源信息系统领域计算机应用的一个重要研究课题。在结构分析的基础上，将资源图件计算机辅助编绘系统划分为图形数据库，应用图形系统和基础图形系统3个基本部分。对于复杂资源图件的计算机辅助编绘，需要地矿点源信息系统的支持。在基础图形系统上进行专业编绘程序的二次开发是高效建立图件编绘系统的最佳途径，并需注意GIS集成应用，三维可视化，人工智能和参数化设计等方法的运用，而系统平台开发是复杂应用的高级阶段。该思想可应用于煤及油气勘探，工程开发，矿区管理及区域地质等诸多领域的软件开发中。     

基于GM(1,1)优化模型的岩石边坡变形预报

岩石边坡系统是一典型灰色系统，其变形发展过程可以用灰色预测模型完成。尽管传统GM（1，1）模型预测有很多成功的实例，但是也存在一些预测偏差过大的情况，必须对其进行优化。逐步迭代法GM（1，1）模型不仅收敛速度快，而且与原始数据库序列的凹凸性保护一致。利用自编的计算程序对马步坎边坡预测测点G1沉降和开裂进行预测分析，结果表明逐步迭代法GM（1，1）优化模型计算精度较传统GM（1，1）模型和背景构造法GM（1，1）优化模型高，较好地反映了岩石边坡的变形趋势。     

长江三角洲环境地质调查评价GIS管理系统建设初探

长江三角洲是一个人口稠密、经济高度发达的地区 ,该区地质结构复杂、环境地质条件十分脆弱 ,长期以来因过量开采地下水 ,形成大面积区域性水位降落漏斗 ,诱发了相当严重的地面沉降、地裂缝等地质灾害 ,给当地经济可持续发展带来严重威胁。本文从开展长江三角洲环境地质调查评价的现实意义出发 ,探讨了长江三角洲环境地质调查评价GIS管理系统的系统目标、开发模式以及实现步骤 ,概括介绍了系统所应具有的功能 ,为长江三角洲项目信息系统建设提出了一条可行性思路。     

基于MAPGIS的军事标图系统的设计

军事领域是一个非常特殊的行业，信息的安全性和空间数据的多样性是应用开发的重要问题。在全球信息化日趋高速发展和逐步成熟的今天，军队信息化建设也必须与GIS技术紧密结合，跟上时代前进的步伐。较系统地研究了GIS技术在军事标图绘制中的应用和集成问题，并提供了相应的理论方法和实现系统。在此基础上介绍了以MAPGIS为开发平台的军事标绘系统的实用功能和特点。首先分析了军事信息系统对地理信息数据的要求，并且评述了相关领域的研究现状。然后较为系统地介绍了军事标图系统的总体设计，根据军事标绘对象的数据特征，设计符合要求的应用系统提出了面向对象和无缝交互工具等的设计思想。对军标对象数据模型和操作模型进行了详细地阐述和说明，并将这些模型在系统中进行了实现。最后介绍了军事标图系统的主要模块和功能，探讨了今后GIS研究和发展的方向。     

中下扬子区二叠系露头层序地层研究

按新近国际年代地层划分方案（ICS，2000），下扬子区二叠纪地层自下向上分为3统，9阶和相对应的华南传统6阶划分。二叠系从阿瑟尔阶至长兴阶（44Ma)共划分出14个三级层序，每个三级层序平均时限约为3.14Ma，其中“紫松阶”）相当阿瑟尔＋2／3萨克马尔阶）1个（船山组中上部）、“隆林阶、（相当1／3萨克马尔阶＋阿丁斯克阶）2个（分别对应船山组上部和梁山组或镇江组）、“栖霞阶”（相当库班甘德阶＋1／3罗德阶）3个（栖霞组），“茅口阶”（相当于2／3罗德阶＋沃德阶＋卡皮丹阶）4个（孤峰组，茅口组，堰桥组，银屏组和武穴组），吴家坪阶2个（龙潭组或吴家坪组），长兴阶2个（长兴组或大隆组）；共归并为4个层序组（sequence set)。     

武汉市区第四系含水层地下水有机污染敏感性研究

在详细调查武汉市水文地质条件和地下水污染现状的基础上，获得了高精度的武汉市水环境中微量有机污染物的组成数据。所检测出的有机组分达30余种，以苯及相关苯系物为主，污染程度较高的地下水主要分布在人口密集区和工业，商业区，应用改进的DRASTIC模型－地下水污染敏感性评价模型，在GIS平台上，编制了武汉市区地下水污染敏感性分区图。根据其评价结果，建议集中对那些敏感性相对较高的区域采取有效的环保措施，开发利用时应作出风险评价。     

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.     

Parameter identification of inelastic structures under dynamic loads

The generalized model of differential hysteresis contains 13 control parameters with which it can curve‐fit practically any hysteretic trace. Three identification algorithms are developed to estimate the control parameters of hysteresis for different classes of inelastic structures. These algorithms are based upon the simplex, extended Kalman filter, and generalized reduced gradient methods. Novel techniques such as global search and internal constraints are incorporated to facilitate convergence and stability. Effectiveness of the devised algorithms is demonstrated through simulations of two inelastic systems with both pinching and degradation characteristics in their hysteretic traces. Owing to very modest computing requirements, these identification algorithms may become acceptable as a design tool for mapping the hysteretic traces of inelastic structures. Copyright © 2002 John Wiley & Sons, Ltd.     

Selective controlled base isolation system with magnetorheological dampers

A base isolation system composed of low‐damping isolation bearings and magnetorheological (MR) fluid dampers is described. The MR fluid changes its properties under the influence of a magnetic field resulting in a damper with characteristics that may be modified in real time. This feature enables optimal control under changing excitations in a stable and cost‐effective manner. The voltage is applied according to a selective control strategy. According to the proposed approach the dampers are activated only within a given range of the base displacements. The selective control improves the efficiency of the system and significantly reduces the control forces required for an optimal structural behaviour. Models of five‐ and eight‐storey buildings are used to study the efficiency of the proposed system. Copyright © 2002 John Wiley & Sons, Ltd.     

Multi‐objective optimal design of FLC driven hybrid mass damper for seismically excited structures

Structural vibration control using active or passive control strategy is a viable technology for enhancing structural functionality and safety against natural hazards such as strong earthquakes and high wind gusts. Both the active and passive control systems have their limitations. The passive control system has limited capability to control the structural response whereas the active control system depends on external power. The power requirement for active control of civil engineering structures is usually quite high. Thus, a hybrid control system is a viable solution to alleviate some of the limitations. In this paper a multi‐objective optimal design of a hybrid control system for seismically excited building structures has been proposed. A tuned mass damper (TMD) and an active mass driver (AMD) have been used as the passive and active control components of the hybrid control system, respectively. A fuzzy logic controller (FLC) has been used to drive the AMD as the FLC has inherent robustness and ability to handle the non‐linearities and uncertainties. The genetic algorithm has been used for the optimization of the control system. Peak acceleration and displacement responses non‐dimensionalized with respect to the uncontrolled peak acceleration and displacement responses, respectively, have been used as the two objectives of the multi‐objective optimization problem. The proposed design approach for an optimum hybrid mass damper (HMD) system, driven by FLC has been demonstrated with the help of a numerical example. It is shown that the optimum values of the design parameters of the hybrid control system can be determined without specifying the modes to be controlled. The proposed FLC driven HMD has been found to be very effective for vibration control of seismically excited buildings in comparison with the available results for the same example structure but with a different optimal absorber. Copyright © 2002 John Wiley & Sons, Ltd.