空间决策支持技术在城市地震应急指挥软件系统中的应用

将空间决策支持技术SDSS引入城市地震应急指挥技术领域,利用决策支持技术DSS的多模型组合建模方法和地理信息系统的空间分析技术,建构了城市地震应急指挥空间辅助决策支持软件系统。详细讨论了该系统的整体规划与功能实现,并对系统数据库、模型库、方法库和知识库及其管理子系统的设计与开发作了详细阐述,以期为城市灾害与突发事件的防御与应急提供技术支持。     

电力供应系统地震功能失效问题研究

本文研究了电力系统的地震功能失效评估方法,尤其对电力系统功能潮流分析方法作了深入的探讨。本文不仅分析了电力设施在地震动作用下的连通性问题,而且也分析了供电系统的潮流(包括电压和功率)变化对供电系统的影响问题;另外,通过一实例分析,对本文的研究方法进行了验证,从而为供电系统抗震分析、功能评估及灾害预防提供了理论基础。     

基于GIS的历史文化街区避难空间适灾规划研究 ——以天津市历史文化街区为例

历史文化街区房屋建筑密度大,内部空间狭小,疏散难度较大,现有避难空间难以满足地震避难要求,提高历史文化街区抗震韧性势在必行.面向历史文化街区,以避难空间的评价与规划方法为研究对象,基于ArcGIS 10.2对研究区域道路网络与环境要素进行空间建模,在归纳分析与专项分析的基础上建立避难空间评价量化指标,运用空间网络与叠置...     

电力系统地震功能失效数值模拟与控制分析

本文研究了电力供应系统地震功能失效评估方法,尤其对电力供应系统功能潮流分析方法与负荷的控制问题作了深入的探讨.不仅分析了供电系统的潮流(包括电压和功率)变化对供电系统的影响问题,而且建立了电流控制模型,利用DSEA控制算法对供电系统进行负荷控制,并在此基础上进行了系统过负荷时的数值模拟研究;另外,通过一实例分析,对本文的研究方法进行了验证,从而为供电系统抗震分析、功能评估及灾害预防提供理论基础.     

泰安市交通系统抗震可靠性分析

本文根据网络可靠性理论,针对泰安市交通系统网络模型进行抗震分析研究;采用Monte Carlo随机模拟技术,以及道路、桥梁单元可靠性分析方法,给出了不同烈度下网络中各节点的可靠度。分析了网络系统存在的薄弱环节,为泰安市防灾规划提供理论依据。     

高坝抗震设防问题的探讨

本文探讨了高坝抗震设防的决策问题。分别从高坝设计使用年限及高坝的功能2个角度出发,探讨了进行高坝抗震设防标准决策的2种不同方法。从高坝设计使用年限出发,提出同样重要性的结构在不同的设计使用年限应具有相同的可靠度水平,以此来进行抗震设防烈度的决策。从基于功能分析的角度出发,提出应使总的期望损失最小为准则来进行最优抗震设防烈度的决策。     

沈阳市供水系统抗震功能可靠性分析

城市供水管网的抗震研究能够服务于供水管网的规划、设计和改造。以沈阳市供水管网系统为背景,介绍了一类求解大型供水网络节点及系统功能可靠度的方法。对沈阳市主干供水网络进行了抗震功能可靠性分析。研究结果证明,建议方法是合理评价供水管网地震后工作性能的工具,可以为大型供水管网的抗震可靠度分析及抗震设计服务提供基础。     

城市工业区的抗震决策

本文对城市工业区建筑物采用了以损失度分析为基础的抗震决策方法。该方法包括:建筑物调查分类,震害预测,损失度分析,抗震决策等四个方面。并以沈阳市铁西工业区为例,说明该方法的应用,对铁西区单层钢筋混凝土厂房的抗震决策提出可供参考的意见。     

三亚市交通系统易损性分析

采用经验统计法,模糊数学理论和Push—over等方法,针对三亚市交通系统中的道路、桥梁进行易损性分析研究,给出了不同烈度下道路、桥梁易损性分析结果,从中找出交通系统存在的薄弱环节,为三亚市编制抗震防灾规划和制定防灾决策提供重要的科学依据。     

供电网络系统的可靠性分析

研究了生命线工程系统中供电网络系统的可靠性分析方法。在元件可靠性分析的基础上,进行供电网络系统工程地震可靠性分析,提出了供电网络系统功能失效分级及失效等级的判定方法,并建立了功能失效系数的概念,给出了供电网络系统功能失效系数的计算方法,从而实现了供电网络系统功能失效分析的定量化。     

地震应急对策决策支持软件的设计与开发

基于空间决策支持技术,设计与开发了地震应急对策软件,在软件的总体设计、功能模块、数据库建设、地震应急对策模型及接口设计与模块集成等方面进行了研究与开发,并在“青岛市地震应急指挥决策支持软件系统”中得到实际应用和检验。实践证明,该软件能够实现城市地震灾害信息的科学管理,智能制定各种地震应急对策和生动的可视化,从而有效提高地震应急的效率和响应速度,为城市地震应急工作提供了有效的辅助决策手段;建成的“青岛市地震应急对策系统”对全国大中城市地震应急指挥技术系统的建设具有示范意义。     

Multi‐scale system reliability analysis of lifeline networks under earthquake hazards

Recent earthquake events evidenced that damage of structural components in a lifeline network may cause prolonged disruption of lifeline services, which eventually results in significant socio‐economic losses in the affected area. Despite recent advances in network reliability analysis, the complexity of the problem and various uncertainties still make it a challenging task to evaluate the post‐hazard performance and connectivity of lifeline networks efficiently and accurately. In order to overcome such challenges and take advantage of merits of multi‐scale analysis, this paper develops a multi‐scale system reliability analysis method by integrating a network decomposition approach with the matrix‐based system reliability (MSR) method. In addition to facilitating system reliability analysis of large‐size networks, the multi‐scale approach enables optimizing the level of computational effort on subsystems; identifying the relative importance of components and subsystems at multiple scales; and providing a collaborative risk management framework. The MSR method is uniformly applied for system reliability analyses at both the lower‐scale (for link failure) and the higher‐scale (for system connectivity) to obtain the probability of general system events, various conditional probabilities, component importance measures, statistical correlation between subsystem failures and parameter sensitivities. The proposed multi‐scale analysis method is demonstrated by its application to a gas distribution network in Shelby County of Tennessee. A parametric study is performed to determine the number of segments during the lower‐scale MSR analysis of each pipeline based on the strength of the spatial correlation of seismic intensity. It is shown that the spatial correlation should be considered at both scales for accurate reliability evaluation. The proposed multi‐scale analysis approach provides an effective framework of risk assessment and decision support for lifeline networks under earthquake hazards. Copyright © 2009 John Wiley & Sons, Ltd.     

交通系统地震服务性能分析

本文论述了交通系统的震害,建立了城市交通系统地震救灾服务功能模型及评估方法以及救灾功能的可靠性分析方法,提出了基于可靠度的系统地震服务功能的分析方法和最佳路径优化方法,并以可靠度和道路长度作为协调参数,运用优化方法解决了交通系统安全性和经济性之间的矛盾,提出了交通系统加固优化的实用的分析方法。最后以某城市交通网络系统为例进行了分析研究,为城市交通系统防震减灾研究提供理论基础。     

青岛市地震应急指挥决策支持软件的设计与开发

基于空间决策支持技术设计与开发了城市地震应急指挥决策支持软件,在软件的总体设计、功能模块、数据库建设、接口设计与模块集成等方面进行了研究与开发,并在青岛市地震应急指挥系统中得到实际应用和检验。实践表明,该软件能实时收集地震现场灾害信息,给出地震灾害现状图,并且实时跟踪灾情发展及变化,智能制定各种地震应急指挥指令,可视化绘出应急指挥决策图,从而有效提高地震应急指挥的效率和响应速度,为地震现场应急指挥工作提供了更实用、可推广的技术平台,这对全国大中城市地震应急指挥技术系统的建设具有实际意义。     

震区道路系统规划设计方案的量化分析

提出以最小路集,合理路集以及堵塞、失效相关程度等进行震区新建道路网络系统规划设计方案的量化评估方法,通过算例说明该方法不仅可行且便于应用。     

IV: EPSAT-NIGER study of rainfall over the Sahel at small time steps using a dense network of recording raingauges

The high density, static memory raingauge network of the EPSAT-NIGER experiment was designed with the aim of: (1) studying the rainfall spatial variability in the Sahel, as may be seen from ground networks of varying density, and (2) providing reference values for the calibration of a C band radar system. A first subset of 37 raingauges was installed in 1988 and the remaining 43 in 1989, thus providing a network of 80 stations, spread over a 100 × 100 km square area. The data analysis is based on the indentification of the structural function for each rainfall event. This permits classification of the events into three main categories with respect to their spatial organization. Furthermore the differences between the shower body and the trail are important and it is shown that the analysis of the spatial organization at the event scale may not be applicable to the calibration of high temporal resolution radar data. Estimation of the areal rainfall over two reference areas is also carried out.     

Post‐earthquake functionality of highway overpass bridges

Bridges are crucial to the transportation network in a region struck by an earthquake. Collapse of a bridge determines if a road is passable. Ability of a bridge to carry traffic load after an earthquake determines the weight and speed of vehicles that can cross it. Extent of system and component structural damage in bridges determines the cost and time required for repair. Today, post‐earthquake bridge evaluation is qualitative rather than quantitative. The research presented in this paper aims to provide a quantitative engineering basis for quick and reliable evaluation of the ability of a typical highway overpass bridge to function after an earthquake. The Pacific Earthquake Engineering Research (PEER) Center's probabilistic performance‐based evaluation approach provides the framework for post‐earthquake bridge evaluation. An analytical study was performed that linked engineering demand parameters to earthquake intensity measures. The PEER structural performance database and reliability analysis tools were then used to link demand parameters to damage measures. Finally, decision variables were developed to describe three limit states, repair cost, traffic function, and collapse, in terms of induced damage. This paper presents the analytical models used to evaluate post‐earthquake bridge function, decision variables and their correlation to the considered limit states, and fragility curves that represent the probability of exceeding a bridge function limit state given an earthquake intensity. Copyright © 2005 John Wiley & Sons, Ltd.     

耗能－隔震柔性底层钢管混凝土结构的振动台实验和损伤分析

本文采用人工神经元网络理论，对城市公路网络中的单元路段和桥梁的震害预测进行了探讨。在前人研究的基础上，提出了解决这一非确定性问题的一个有效的方法，对于深入研究生命线工程系统震害的规律具有普遍的意义，从而使我们有可能避免地震造成的破坏和最大限度地减小损失，为抗震减灾提供决策依据。