模糊评价与PSO优化的LSSVM架空输电线路故障率预测

准确计算架空线路故障率对于保障线路安全稳定运行有重要意义.分析确定架空输电线路故障的影响因素,将其划分为4个一级指标和21个二级指标,建立线路故障指标评价体系.分别采用三角分布法和模糊试验法确定定量指标和定性指标的隶属度函数,利用九分度AHP法计算各指标权重,通过模糊运算得到各影响因素的评价值.根据故障造成损失的严重程...     

柳塔煤矿22101工作面围岩模拟及支护方案分析

柳塔煤矿22101工作面直接顶为泥质层状结构,矿物成分以粘土类矿物为主,围岩控制难度大.利用FLAC3D对巷道围岩进行模拟研究,确定采用锚杆、锚索、冷拔丝网进行联合支护,巷道围岩得到有效控制,塑性区影响范围减少53.3％,效果良好.     

中空锚索注浆加固技术在2-107工作面超前支护的应用

基于动压巷道控制理论和中空注浆锚索加固机理,设计了干河煤矿2-107工作面中空锚索注浆加固超前支护方案.工业性试验结果表明,中空锚索注浆加固超前支护技术方案可行,从而解决了工作面超前支护存在的支护强度低、支护难度大和劳动强度高的问题.     

沿空巷道底鼓破坏与支护技术研究

以3005综采工作面沿空掘巷为工作背景,在分析巷道底鼓破坏特征的基础上分析了巷道围岩强度及应力、护巷煤柱、支护方式对底鼓破坏的影响,给出了优化后的锚杆支护方案及底板处理方案.实践表明,巷道底鼓治理方案合理,巷道底鼓得到了有效改善,可以满足工作面安全生产要求.     

深井复杂条件切眼巷道锚网索支护技术实践

深井复杂条件下,回采工作面切眼巷道因断面大、跨度大成为支护难题,长期困扰生产矿井.以范各庄煤矿3221 S切眼巷道为例,分析大断面和大跨度巷道的破坏机理及支护原则,分别设计锚网索支护参数,通过采用顶板离层仪观测与十字测线位移观测及锚杆索测力计的监测手段,得出锚网索支护的巷道变形规律,采用"锚杆+锚索+钢带+托梁"构成强...     

深部巷道支护方案优化设计及数值模拟研究

为了解决打通一矿W2710运输巷道埋深大、围岩强度低,巷道变形严重、支护成本高等问题,在优化巷道断面基础上提出了3种巷道支护方案,并采用数值模拟方法对各方案的可靠性进行对比分析获得优化支护方案,最后对优化方案的可靠性进行现场验证。现场试验表明,W2710巷道支护方案优化后,巷道顶、底板最大移近量为67.22 mm,与优化前相比,巷道顶、底板移近量减小51.33%;巷道两帮变形最大收敛量为59.32 mm,与优化前相比,巷道两帮变形收敛量减小50.11%;设计优化的支护方案能较好地控制巷道的变形,且支护成本显著降低。     

深水平断层破碎带巷道支护施工技术

夹河矿风井-1010m水平井底车场巷道处于千米水平断层破碎带内,在深水平和断层破碎带状态下,巷道受到的地应力明显,变形量较大。现场采用锚网喷、扶棚与反拱、锚注联合支护技术及一些合理的方法后,解决了巷道通过断层破碎带支护施工技术难题和巷道继续变形破坏问题,支护效果较为明显,为今后千米深水平巷道通过断层破碎带的支护设计和现场施工提供了经验。     

Product-cost modelling approach for the development of a decision support system for optimal roofing material selection

Selection of optimal roofing materials is very important but it is a complex and onerous task as varieties of materials are available for housing roof construction. In order to select suitable materials, an extensive range of criteria would need to be considered. This paper presents the framework and the development of a knowledge-based decision support system for material selection implemented in roofing material selection domain, called ‘Knowledge-based Decision Support system for roofing Material Selection and cost estimating’ (KDSMS). It was developed to facilitate the selection of optimal materials for different roof sub elements. The system consists of a database and knowledge base that is equipped with an inference engine. The former is used to store different types of roofing materials with assigned attribute values. The later is used to hold qualitative and quantitative knowledge which were collected from domain experts and other technical literatures such as building regulations, price guide book and product catalogues. The proposed system employs the TOPSIS (Technique of ranking Preferences by Similarity to the Ideal Solution) multiple criteria decision making method to solve materials selection and optimisation problem. This study utilised the available roofing materials in the UK housing market in developing the system reported. The main contribution of the developed system is that it provides a tool for the architects, quantity surveyors or self house builder to select optimal materials from a wide array of possibilities for different roof sub elements and also to estimate the conceptual cost for the roof element in the early stage of building design.     

Critical Times for Organizations: What Should Be Done to Curb Workers’ Noncompliance With IS Security Policy Guidelines?

This study was designed to examine the impacts of employees’ cost–benefit analysis, deterrence considerations, and top management support and beliefs on information systems security policy compliance. Surveys of Canadian professionals’ perceptions were carried out. A research model was proposed and tested. The results confirmed that top management support and beliefs, sanction severity, and cost–benefit analysis significantly influenced employees’ information systems security policy compliance. The implications of the study findings are discussed, and conclusions are drawn.     

A negotiation support system for resolving an international trans-boundary natural resource conflict

Post-Soviet legal governance regime of Caspian Sea – the largest inland body of water on earth – remains a source of conflict among the five coastal states of Azerbaijan, Iran, Kazakhstan, Russia, and Turkmenistan. Although different division methods have been suggested for sharing the sea and its valuable resources, the actual gain of the countries is unclear as the proposed methods focus either on the oil and gas or the areal share of the parties. The Caspian Sea Negotiation Support System (Caspian Sea NSS) is developed in this study to delineate optimal boundaries for sharing the sea through simultaneous consideration of the countries' areal and resource shares under different sharing methods. This NSS is a complex optimization model, with a solver engine that provides reliable results with a reasonable computational effort using a heuristic method. The model is run under different division scenarios to evaluate the sensitivity of each party's gain and locations of nautical boundaries to the division rules and the economic values of the resources. Results show a high sensitivity of the optimal nautical boundaries to the division rules and an indirect relationship between the allocated area and resource shares. The findings highlight the necessity for considering utility shares in negotiations as opposed to adopting areal division rules which ignore the utilities and might result in unfair resource allocation. The main policy implication of the study is that clarification of the countries' resource and areal gain under any suggested legal regime for governing the Caspian Sea is essential to the success of the negotiations.