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。     

三峡工程库区巴东县赵树岭滑坡稳定性与防治对策研究

赵树岭滑坡是三峡工程库区的重要滑坡，其稳定性直接关系到巴东新县城沿江大道的安全，并对新县城土地利用意义重大。在阐述赵树岭滑坡基本特征的基础上，运用水岩耦合三维有限元数值方法模拟了滑坡稳定性，预测了三峡水库蓄水后滑坡稳定性发展趋势和渗流特征。研究表明，水库蓄水及水位波动是影响滑坡稳定性的主要因素，三峡水库蓄水后，滑坡将发生局部失稳，必须加以治理，提出了滑坡防治的原则与对策。     

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.     

Optimum multiple tuned mass dampers for structures under the ground acceleration based on DDMF and ADMF

Multiple tuned mass dampers (MTMD) consisting of many tuned mass dampers (TMDs) with a uniform distribution of natural frequencies are taken into consideration for attenuating undesirable vibration of a structure under the ground acceleration. A study is conducted to search for the preferable MTMD which performs better and is easily manufactured from the five available models (i.e. MTMD‐1 – MTMD‐5), which comprise various combinations of the stiffness, mass, damping coefficient and damping ratio in the MTMD. The major objective of the present study then is to evaluate and compare the control performance of these five models. The structure is represented by its mode‐generalized system in the specific vibration mode being controlled by adopting the mode reduced‐order approach. The optimum parameters of the MTMD‐1 – MTMD‐5 are investigated to reveal the influence of the important parameters on their effectiveness and robustness using a numerical searching technique. The parameters include the frequency spacing, average damping ratio, tuning frequency ratio, mass ratio and total number. The criteria selected for the optimum searching are the minimization of the maximum value of the displacement dynamic magnification factor (DDMF) and that of the acceleration dynamic magnification factor (ADMF) of the structure with the MTMD‐1 – MTMD‐5 (i.e. Min.Max.DDMF and Min.Max.ADMF). It is demonstrated that the optimum MTMD‐1 and MTMD‐4 yield approximately the same control performance, and offer higher effectiveness and robustness than the optimum MTMD‐2, MTMD‐3, and MTMD‐5 in reducing the displacement and acceleration responses of structures. It is further demonstrated that for both the best effectiveness and robustness and the simplest manufacturing, it is preferable to select the optimum MTMD‐1. Copyright © 2002 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.     

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.