Application of dynamical system scaling method on simple gravity-driven draining process

Scaling analysis is widely used in the design of nuclear reactor passive safety systems to ensure that the scale-down test facilities can accurately capture the important phenomena in the prototypic system. In this study, the scaling distortion of a gravity-driven draining system has been analyzed with Hierarchical Two-Tiered Scaling (H2TS) method, based on the initial static characteristic values. In the draining process, however, the key parameters may vary with respect to time, leading to a certain level of scaling distortion. To evaluate the time-dependent scaling distortion, a Dynamical System Scaling (DSS) method is applied. Through comparisons of scaling results of the two scaling methods, it is concluded that the H2TS method can effectively scale the gravity-driven draining process in different geometric sizes, if the variations in the friction factor is negligible. As the draining process slows down, accompanied by an increase in the friction factor, the distortions in water level and in discharge velocity become significant, especially at the end of the draining process in a model of relatively small geometry size. This preliminary study demonstrated the process of scaling distortion analysis using the DSS identity method, and could shed light to the scaling distortion evaluation of testing programs.     

面向工程应用的群体DSS分布式问题求解算法及实现

文章在智能Agent协同控制技术基础上，提出面向工程领域分布式问题求解的群体DSS多库协同工作模式．并重点分析了分布式问题求解的群体协同控制策略，实现了工程领域问题的分布式问题求解算法，最后通过某飞行器设计实例进行了验证。     

An effective database formation for decision support systems

Managers' tasks have two aspects: to monitor (control) business activities and to plan the future based upon the monitored results. Thus a decision Support System (DSS) must have two kinds of databases appropriate for its needs.A management database, i.e., one for monitoring activities, is constructed mainly from the existing operational databases. A data cube should be employed for the logical data structure of the management database so that managers can share it and access it in multiple ways.Planning databases, i.e., those for planning activities, are constructed mostly from the management database. A table form should be employed for its logical data structure so that managers will find it easy to use.The management and planning databases should be connected through DSS's system architecture [1]. This makes the operational data (indicating business activities) directly and immediately available for management decision making.We have previously presented the DSS architecture. This paper discusses the management and planning databases from the viewpoint of it.     

矿区土地复垦决策支持系统的开发设计与应用

从系统的开发流程、体系结构、功能模块设计和模型库的构建等角度详细阐述了矿区土地复垦决策支持系统(LRDSS2.0)的开发过程.LRDSS2.0实现了矿区与矿区内不同土地利用单元两种尺度下的决策支持,通过以山西省重点煤炭基地涉及的34个复垦区域和安太堡露天煤矿内6个不同土地利用单元为例,利用WebGIS和决策支持系统（DSS）相结合的手段,实现了山西省重点煤炭基地复垦区域的空间显示和安太堡露天煤矿排土场和采掘场等区域单元的数字化.     

机械工业科技人才管理决策支持系统功能分析与总体设计

以人才资源管理理论为基础,结合机械工业科技人才管理工作实际,运用Ｉ＾３ＤＳＳ理论框架对机械工业科技人才管理ＤＳＳ进行了功能分析和总体设计,从而为该领域的决策工作提供了有力的支持手段。     

A web based DSS for the management of floods and wildfires (FLIRE) in urban and periurban areas

The FLIRE DSS is a web-based Decision Support System for the combined forest and flood risk management and planning. State of the art tools and models have been used in order to enable Civil Protection agencies and local stakeholders to take advantage of web based DSS with no need of local complex infrastructure and maintenance. Civil protection agencies can predict the behavior of a fire event using real time data and in that way to plan its efficient elimination. Also, they can implement “what-if” scenarios for areas prone to fire and thus develop plans for forest fire management. Flood services include flood maps and flood-related warnings; these become available to relevant authorities for visualization and further analysis on a daily basis. Real time weather data from ground stations provide the necessary inputs for the calculation of the fire model in real time and a high resolution weather forecast grid support flood modeling and “what-if” scenarios for the fire modeling. The innovations of the FLIRE DSS are the use of common Earth Observation (EO) data as the backbone of the system to produce data for the support of fire and flood models, the common use of weather related information, the distributed architecture of the system and the web-based access of it with no need for installation of dedicated software. All these can be accessed by all means of computer sources like PC, laptop, Smartphone and tablet either by normal network connection or by using 3G and 4G cellular network. The latter is important for the accessibility of the FLIRE DSS during firefighting or rescue operations during flood events. FLIRE DSS can be easily transferred to other areas with similar characteristics due to its robust architecture and its flexibility.     

固溶处理对2205双相不锈钢在卤水中点蚀的影响

利用电化学方法对不同固溶处理的2205双相不锈钢在卤水中的临界点蚀温度及临界点蚀电位进行了研究,结合显微金相技术研究了固溶处理温度对相含量及耐蚀性能的影响。结果表明：2205双相不锈钢在卤水中的临界点蚀温度介于55～60℃之间,临界点蚀电位随着环境温度的升高而降低;金属碳化物在固溶处理温度750～900℃范围内析出,奥氏体含量急剧减少材料耐蚀性能严重恶化;固溶处理温度1100℃保温1 h的试样耐蚀性能最佳。     

Influence of thermal aging on sulfate-reducing bacteria (SRB)-influenced corrosion behaviour of 2205 duplex stainless steel

Microbiologically-influenced corrosion behaviour of thermally aged 2205 duplex stainless steel in comparison to the as-received material was studied by exposing the coupons for 40 days in chloride medium containing sulfate-reducing bacteria (SRB). Coupons exposed to the sterile medium were used as control. Electrochemical studies suggest a sharp drop in corrosion potential and increase in the anodic current for the coupons exposed to SRB. The austenite phase was found to be selectively attacked in presence of SRB for as-received material. Even though enhanced selective etching of austenite was noticed for thermally aged material, presence of actively corroding locations adjacent to the σ-phase protect the austenite phase.