池火灾热辐射的数值研究

通过列举储罐火灾事故,提出对池火灾进行研究的重要性。介绍目前池火灾国内外的研究现状及发展情况,描述池火灾燃烧特征和模型。应用化学流体力学基本定律,建立了描述池火灾过程的基本控制方程组,并根据适当的条件选择辐射模型。建立物理模型,做出合理假设,确定初始和边界条件,对池火灾热辐射过程进行数值模拟,得出火焰周围入射热流密度分布图,计算出相邻两罐之间的最小安全距离,应用于工程实际中,给防火间距的制定提供理论依据,计算结果定性合理。     

小城镇地震数字仿真与应急调度系统的研究

以地理信息系统为平台进行地震灾害研究,建立具有强大空间分析功能的信息系统,将发挥快速、准确的辅助决策作用.本文剖析了小城镇地震应急反应模式存在的弊端,明确了灾害空间的概念,并提出小城镇空间数据库的建库及三维可视化的技术方案.在基础信息数字化和可视化的基础上,开发了小城镇地震数字仿真与应急调度系统,实现了基于地震数字仿真结果,在相关数据库支持下进行地震应急调度决策.实践证明:该系统的运行,有利于小城镇抗震减灾的迅速决策;小城镇空间数据库的建库技术,贴合我国小城镇信息化的现状,技术可行、经济合理.     

Shapiro台风风场模型及其数值模拟

我国东南沿海是世界上台风最集中的地区之一,也是我国经济最发达和财富最集中的地区,台风引起的灾害损失巨大.数值模拟方法是目前进行台风危险性分析和估算极值风速普遍采用的方法,已有较多风场模型应用于台风区的极值风速估算,Shapiro风场模型是其中之一.首先介绍了Shapiro台风风场模型,然后采用有限差分法求解描述该风场模型的非线性偏微分方程组,利用两个实测台风的风速记录对该模型进行了验证,对该风场模型在我国东南沿海地区的应用做了初步尝试.     

两类常用森林火灾蔓延模型的比较

简要介绍了两类常用的森林火灾蔓延模型--邻接单元模型和波动传播模型的原理和实现方法.对作为离散模型的邻接单元模型和作为连续模型的波动传播模型的优、缺点作了系统的总结,并分析了它们对系统精度、实时性、复杂性、全局适应性、计算可靠性和整个模拟系统结构性能的影响.通过对比发现,两类模型在性能上的优势和局限有很强的互补性.因此,为了提高蔓延模型的性能,并使其不受火行为和地理要素复杂性的限制,有必要取长补短,通过现有的计算机技术将两者结合起来.     

基于系统动力学模型的影剧院人员疏散策略

随着社会的发展,人们对生命的重视程度日益增强,大型公共场所临灾情况下人员疏散问题的研究也越来越有实际意义.分析以往影剧院火灾事故可以发现,不正确的疏散逃生行为所引起的通道堵塞,是导致人员大量伤亡的一个主要原因.根据系统动力学原理,应用STELLA系统软件,建立了基于粗网络模型的人员疏散模型.以影剧院发生火灾为例,分析了采取不同疏散策略所产生的避难效果差异,找出了最佳的疏散策略.所提研究方法和建立的模型,对于合理设计疏散路线和优化建筑物的出口与通道结构具有一定的实用价值.     

水泥土搅拌桩的桩径分析

针对搅拌桩施工会引起周围土体的位移及产生很高的超静孔隙水压力的工程现象,首先分析了搅拌桩施工中固化剂的注入体积与膨胀压力、成桩直径的关系。结果表明,5%~10%的注入浆液的体积可以对周围土体产生1.8~3.0倍不排水抗剪强度的膨胀压力,成桩直径比搅拌叶片的名义直径大5%~10%。然后量测室内模型桩、现场搅拌桩的成桩直径,分析了注入浆液的体积与成桩直径的关系。结果表明,对于深度不太大的水泥土搅拌桩,有约45%的注入体积会通过上浮隆起的土体损失掉;大约5%的注入体积通过劈裂裂缝渗入到周围土体中;大约50%的注入体积会转化为成桩直径,使桩体膨胀5%~10%,即实测桩径比搅拌叶片的名义直径大5%~10%。     

对实验室污染问题的思考和建议

分析了目前实验室存在的污染种类及危害,阐明实验室是一种不容忽视的污染源,且污染种类复杂,毒害较大.提出实验室污染防治措施.     

Information Network Topologies for Enhanced Local Adaptive Management

We examined the principal effects of different information network topologies for local adaptive management of natural resources. We used computerized agents with adaptive decision algorithms with the following three fundamental constraints: (1) Complete understanding of the processes maintaining the natural resource can never be achieved, (2) agents can only learn by experimentation and information sharing, and (3) memory is limited. The agents were given the task to manage a system that had two states: one that provided high utility returns (desired) and one that provided low returns (undesired). In addition, the threshold between the states was close to the optimal return of the desired state. We found that networks of low to moderate link densities significantly increased the resilience of the utility returns. Networks of high link densities contributed to highly synchronized behavior among the agents, which caused occasional large-scale ecological crises between periods of stable and high utility returns. A constructed network involving a small set of experimenting agents was capable of combining high utility returns with high resilience, conforming to theories underlying the concept of adaptive comanagement. We conclude that (1) the ability to manage for resilience (i.e., to stay clear of the threshold leading to the undesired state as well as the ability to re-enter the desired state following a collapse) resides in the network structure and (2) in a coupled social–ecological system, the systemwide state transition occurs not because the ecological system flips into the undesired state, but because managers lose their capacity to reorganize back to the desired state. An erratum to this article can be found at .     

煤矿火灾烟气流动传播过程仿真研究

煤矿发生火灾后会生成大量有毒气体并产生火风压,烟气在火灾动力的影响下出现状态紊乱,研究煤矿火灾烟气流动传播过程对控制火情有着重要意义。基于国内外研究现状,对燃烧及风流特点进行分析,建立了煤矿火灾烟气流动数学模型,并利用CFD软件进行仿真。研究表明:无通风工况下的烟气为对称流动;随着风速增加,出口处温度降低,烟气向风流入口处的流速减小。     

Performance evaluation of reverse logistics enterprise – an agent-based simulation approach

Reverse logistics (RL) has been applied in many industries and sectors since its conception. Unlike forward logistics, retracing consumer goods from the point of consumption to the point of inception is not a well-studied process. It involves many uncertainties such as time, quality and quantity of returns. The returned products can be remanufactured, have parts harvested, or be disposed safely. It is important to implement these activities in a cost-effective manner. The aim of this research is to measure the performance of the RL enterprise with the help of an agent-based simulation model. The major entities in the RL network are considered as Agents that can act independently. There are several different agents: collector agent, sorting-cum-reuse agent, remanufacturing agent, recycler agent, supplier agent and distributor agent. The individual performances of the agents are measured and recommendations are given to improve their performance, leading to the enhancement of the total performance of the RL enterprise. The approach is applied to a case study involving cell phone remanufacturing.