AHP在概率风险评价中的应用

专家估计是 PRA的一个重要数据来源 ,为得到可信的估计值 ,分析人员要选择多个专家并对其估计进行综合。对影响专家估计的因素建立了层次模型 ,用 AHP对几个专家的估计进行了分析 ,给出其合理的权值 ,并进行了简单的灵敏度分析     

On the critique of Beck’s view on risk and risk analysis

Ulrich Beck’s stand on risk and risk analysis has been challenged by many researchers. In this paper we look closer into some of the arguments used, with a main focus on the fundamental analysis carried out by Campbell and Currie. These two authors argue that Beck’s criticisms of the theory and practice of risk analysis are groundless: Beck’s understanding of what risk is, is badly flawed, and he misunderstands and distorts the use of probability in risk analysis. However, the analysis of Campbell and Currie is based on a set of premises, for example that risk is a function of probability and harm, and that risk really exists and one can be wrong about risk. Although such ideas are common, they can be challenged, and in the literature a number of alternative perspectives have been suggested. The purpose of the present paper is to study Beck’s stand on risk analysis and the related critique of Campbell and Currie and others, in view of some of these alternative perspectives on risk. To what extent is the critique then justified? The paper concludes that the case raised against Beck’s view is still strong and relevant, but has to be nuanced with respect to some important issues, for example concerning the distinction between belief and truth when it comes to risk. Allowing for spacious interpretations of some of Beck’s theses, the paper provides strengthened support for Beck’s view on these points.     

An integrated EDIB model for probabilistic risk analysis of natural gas pipeline leakage accidents

Natural gas pipeline construction is developing rapidly worldwide to meet the needs of international and domestic energy transportation. Meanwhile, leakage accidents occur to natural gas pipelines frequently due to mechanical failure, personal operation errors, etc., and induce huge economic property loss, environmental damages, and even casualties. However, few models have been developed to describe the evolution process of natural gas pipeline leakage accidents (NGPLA) and assess their corresponding consequences and influencing factors quantitatively. Therefore, this study aims to propose a comprehensive risk analysis model, named EDIB (ET-DEMATEL-ISM-BN) model, which can be employed to analyze the accident evolution process of NGPLA and conduct probabilistic risk assessments of NGPLA with the consideration of multiple influencing factors. In the proposed integrated model, event tree analysis (ET) is employed to analyze the evolution process of NGPLA before the influencing factors of accident evolution can be identified with the help of accident reports. Then, the combination of DEMATEL (Decision-making Trial and Evaluation Laboratory) and ISM (Interpretative Structural Modeling) is used to determine the relationship among accident evolution events of NGPLA and obtain a hierarchical network, which can be employed to support the construction of a Bayesian network (BN) model. The prior conditional probabilities of the BN model were determined based on the data analysis of 773 accident reports or expert judgment with the help of the Dempster-Shafer evidence theory. Finally, the developed BN model was used to conduct accident evolution scenario analysis and influencing factor sensitivity analysis with respect to secondary accidents (fire, vapor cloud explosion, and asphyxia or poisoning). The results show that ignition is the most critical influencing factor leading to secondary accidents. The occurrence time and occurrence location of NGPLA mainly affect the efficiency of emergency response and further influence the accident consequence. Meanwhile, the weight ranking of economic loss, environmental influence, and casualties on social influence is determined with respect to NGPLAs.     

A risk concept applicable for both probabilistic and non-probabilistic perspectives

In engineering risk assessments, probability is the common tool used to describe the epistemic uncertainties about unknown quantities. Probability is considered a main component of risk. However, a number of alternative approaches exist for representing and describing uncertainties in risk assessments, including possibility theory and evidence theory. For these approaches and theories a probability-based risk definition cannot in general serve as a conceptual framework for risk assessments. A broader risk perspective is required. The purpose of the present paper is to present such a perspective and show how both the probabilistic and the alternative approaches and theories can be supported by this perspective. The key feature of this perspective is that uncertainty replaces probability in the definition of risk.     

固体和液体危险化学品仓库火灾风险分析方法探讨

固体和液体化学品仓库火灾是企业安全面临的经常性威胁之一,需考虑火灾中毒性燃烧产物释放和非燃烧产生的毒性物质释放。结合火灾风险分析方法,阐述火灾场景中各要素及相互关系,主要包括火灾场景、物质、燃烧速率、源项、毒性、扩散、概率和风险之间的关系,火灾场景考虑持续时间、面积和通风率的影响,物质中考虑平均结构式和燃烧方程,源项中考虑形成的产物、燃烧物质每千克的散发和活性物质百分比,毒性中考虑HCl,NO2,SO2和非燃烧产生的物质。基于储存物质平均结构式,建立燃烧关系方程。燃烧速率计算取决于可用的氧气量和需要的氧气量,分为面积受限的燃烧速率和氧气受限的燃烧速率。最后给出毒性燃烧产物HCl,NO2,SO2释放量和非燃烧产生的毒性物质释放量的计算方法,同时以毒性燃烧产物释放场景后果模拟为例说明仓库发生火灾的后果严重性,为仓库火灾风险分析提供借鉴。     

A methodology for enhancing the reliability of expert system applications in probabilistic risk assessment

In highly complex industries, capturing and employing expert systems is significantly important to an organization's success considering the advantages of knowledge-based systems. The two most important issues within the expert system applications in risk and reliability analysis are the acquisition of domain experts' professional knowledge and the reasoning and representation of the knowledge that might be expressed. The first issue can be correctly handled by employing a heterogeneous group of experts during the expert knowledge acquisition processes. The members of an expert panel regularly represent different experiences and knowledge. Subsequently, this diversity produces various sorts of information which may be known or unknown, accurate or inaccurate, and complete or incomplete based on its cross-functional and multidisciplinary nature. The second issue, as a promising tool for knowledge reasoning, still suffers from lack of deficiencies such as weight and certainty factor, and are insufficient to accurately represent complex rule-based expert systems. The outputs in current expert system applications in probabilistic risk assessment could not accurately represent the increasingly complex knowledge-based systems. The reason is the lack of certainty and self-assurance of experts when they are expressing their opinions. In this paper, a novel methodology is presented based on the concept of Z-numbers to overcome this issue. A case study in a high-tech process industry is provided in detail to demonstrate the application and feasibility of the proposed methodology.     

On the operator action analysis to reduce operational risk in research reactors

Human errors during operation and the resulting increase in operational risk are major concerns for nuclear reactors, just as they are for all industries. Additionally, human reliability analysis together with probabilistic risk analysis is a key element in reducing operational risk. The purpose of this paper is to analyze human reliability using appropriate methods for the probabilistic representation and calculation of human error to be used alongside probabilistic risk analysis in order to reduce the operational risk of the reactor operation. We present a technique for human error rate prediction and standardized plant analysis risk. Human reliability methods have been utilized to quantify different categories of human errors, which have been applied extensively to nuclear power plants. The Tehran research reactor is selected here as a case study, and after consultation with reactor operators and engineers human errors have been identified and adequate performance shaping factors assigned in order to calculate accurate probabilities of human failure.     

基于HAZOP风险量化技术的硫黄回收装置安全评价研究

针对国内硫黄回收装置安全评价方法的缺失和不足,对HAZOP方法在硫黄回收装置中的应用进行分析.基于传统HAZOP定性分析方法,结合风险矩阵定量化管理概念,对风险依据事故发生概率和事故后果严重程度进行定量化处理,形成一种新的风险评价技术——HAZOP风险量化技术.并应用该技术对某硫黄回收装置进行安全评价研究.通过危险因素辨识,建立了硫黄回收装置工艺参数偏差矩阵和风险矩阵等安全评价模型.根据风险等级划分,确定装置主要危险因素与风险的关系.研究表明,HAZOP风险量化技术提高了硫黄回收装置安全性和可操作性.     

基于二层Borda序值法的泥浆泵风险分析

根据F1600宝石泥浆泵的运行状态,结合专家经验,建立了泥浆泵系统的故障模式与影响(FMEA)分析表,得到了系统存在的11种主要故障模式和29种故障原因。由于泥浆泵FMEA分析表中故障模式对应的故障原因不唯一,泥浆泵风险分析系统具有二层结构,即故障原因是底层风险事件,故障模式是上层风险事件。采用传统的Borda序值法无法对该系统进行风险分析和排序,为此,提出了一种能够对二层风险系统进行风险分析的二层Borda序值法。该方法首先基于传统的Borda序值法对底层风险事件进行风险分析并排序;然后基于底层风险事件的Borda值,采用组合排列技术,将二层的风险系统转化为传统Bord序值法能够解决的单层系统,从而实现上层风险事件的风险排序。将此方法应用到泥浆泵系统的故障风险分析中,分别得到了不同故障模式和故障原因对泥浆泵系统可靠性影响的排序结果。实例研究结果表明,该方法的评估结果与实际情况比较吻合,并且可以使分析定量化,简便可行。     

液氨储罐泄漏中毒事故的个人风险分析

分析液氨储罐泄漏中毒事故的个人风险,为厂区的安全规划及防护措施方案的制订提供科学依据.以天津某化工厂液氨储罐为例,根据中毒事故个人风险计算方法计算液氨储罐周围区域的个人风险值,同时采用Surfer 8.0软件绘制该区域的个人风险等值线,实现风险分析结果在地图信息中的可视化.结果表明,液氨储罐泄漏可能会造成严重中毒事故;中毒事故个人风险值受该地区风向概率影响较大.首次将Surfer 8.0软件应用于绘制个人风险等值线,展示了该软件在表示个人风险方面很大的应用和推广价值.     

A fuzzy logic and probabilistic hybrid approach to quantify the uncertainty in layer of protection analysis

Layer of protection analysis (LOPA) is a widely used semi-quantitative risk assessment method. It provides a simplified and less precise method to assess the effectiveness of protection layers and the residual risk of an incident scenario. The outcome failure frequency and consequence of that residual risk are intended to be conservative by prudently selecting input data, given that design specification and component manufacturer's data are often overly optimistic. There are many influencing factors, including design deficiencies, lack of layer independence, availability, human factors, wear by testing and maintenance shortcomings, which are not quantified and are dependent on type of process and location. This makes the risk in LOPA usually overestimated. Therefore, to make decisions for a cost-effective system, different sources and types of uncertainty in the LOPA model need to be identified and quantified. In this study, a fuzzy logic and probabilistic hybrid approach was developed to determine the mean and to quantify the uncertainty of frequency of an initiating event and the probabilities of failure on demand (PFD) of independent protection layers (IPLs). It is based on the available data and expert judgment. The method was applied to a distillation system with a capacity to distill 40 tons of flammable n-hexane. The outcome risk of the new method has been proven to be more precise compared to results from the conventional LOPA approach.     

Interactions of risk analysis and contingency planning in risk management

Risk management entails knowledge of the risk and how best to reduce it; its objective is to minimize losses arising from existing or potential risk. With effective contingency planning, risk analysis and its corollary, consequence analysis, can contribute synergistically to improved risk management. Until recently, risk analysis and contingency or emergency response planning were considered distinct disciplines with little interactive potential. Fortunately, industry now recognizes that linking the two can help ensure public safety as well as preserve the financial integrity of plant owners. Both areas are receiving increased and well-deserved attention; several incidents in recent years have demonstrated that losses could have been greatly reduced if better precautions and procedures had been in place as a result of risk analysis and contingency planning.     

The use of current risk analysis tools evaluated towards preventing external domino accidents

Risk analysis is an essential tool for company safety policy. Risk analysis consists of identifying and evaluating all possible risks. The efficiency of risk analysis tools depends on the rigueur of identifying and evaluating all possible risks. The diversity in risk analysis procedures is such that there are many appropriate techniques for any circumstance and the choice has become more a matter of taste. In this paper, we examine the risk analysis tools used by 24 chemical plants in Belgium, mainly located in the port of Antwerp, the second largest chemical cluster in the world after Houston, TX, USA. The aim of this paper is to identify the current practice in the chemical industry subject to European Seveso legislation and to examine how the present methods can be integrated to improve safety policy, especially towards preventing major accidents. Moreover, conclusions on the prevention of catastrophic external domino accidents involving several companies are formulated. This paper also gives impulse to investigating cross-company management implementations concerning external domino accident prevention.     

基于物元分析法的古建筑火灾风险评价

古建筑火灾风险评估是突发事件应对中"关口前移"的体现,以物元分析法为基础提出了古建筑火灾风险评价的物元模型,并对某世界名镇内古建筑进行风险评估。首先,在火灾风险影响因素的事故树分析基础上,选取能够反映古建筑火灾风险特性的51个指标作为评价指标体系;其次,建立古建筑火灾风险评价的物元模型;最后,根据实地调研数据进行标准化赋值,实现对古建筑火灾风险的定量化评价,通过评价方法对比验证了模型有效性和先进性。结果表明,所评价建筑的总体关联度系数为-0.248,四项"优秀"级别指标关联度分别为-0.129、-0.183、-0.211、-0.216,两项"较差"级别指标关联度为0.025、-0.016,表明所评价建筑火灾风险等级的显性结果为"优秀"级别,但隐性结果为"良好+"级别,火灾风险等级潜在提升能力较强。     

生态风险与生态安全的评价方法及前景

各种生态环境问题的严重后果引起了人们对环境与生态的重视,并催生了生态风险与生态安全评价.为了更好地进行这两方面的评价,首先分别综述生态风险和生态安全评价的发展进程,突出主要研究方法的介绍,由此总结生态风险评价与生态安全评价的关系以及生态风险与生态安全评价的发展趋势.生态风险评价主要有健康危险度法、环评指数法、景观生态法、空间统计或地统计法、相对风险模型等方法;生态安全评价主要有综合指数法、景观生态法、生态承载力和生态足迹方法、突变级数等方法.生态风险与生态安全评价是从相反的角度研究生态系统的状况和潜在威胁,生态风险评价偏重细节分析,生态安全评价偏重整体分析.空间和时间尺度的扩大、评价方法的改进、评价标准的制定和评价的可信性检验都是生态风险评价与生态安全评价的发展趋势.     

Integrating probabilistic signed digraph and reliability analysis for alarm signal optimization in chemical plant

The alarm system given in industrial plants are massive and complex. Under such condition, critical alarms are overwhelmed by false and unnecessary alarms and thus result in severe safety issues. To address the problem, this paper proposes a probabilistic signed digraph (PSDG) based alarm signal selection method that requires achieving maximal system reliability. In this method, a PSDG model is firstly constructed to visualize the causal relations between process variables. Then the criteria of observability and identifiability are imposed to determine the candidate alarm variables that can qualitatively distinguish all assumed faults. Instead of selecting the minimum number of combinations of candidate variables, the alarm variables are optimized by a reliability formulation that takes into account the missed alarm and false alarm probabilities of the system; this formulation is solved by the receiver operating characteristic (ROC) graph. Finally, the developed methodology is illustrated using a Tennessee Eastman process.     

Incorporating organizational factors into probabilistic risk assessment of complex socio-technical systems: Principles and theoretical foundations

The current generation of Probabilistic Risk Analysis (PRA), particularly those for technical systems, does not include an explicit representation of the possible impacts of organization and management on the safety performance of equipment and personnel. There are a number of technical challenges in developing a predictive model of organizational safety performance. There is a need for a widely accepted and theoretically sound set of principles on which models of organizational influences could be developed and validated. As a result of a multidisciplinary effort, this paper explores the feasibility of developing such principles and proposes a set of principles for organizational safety risk analysis. Then, as a realization of the proposed modeling principles, a safety risk framework, named Socio-Technical Risk Analysis (SoTeRiA), is developed. SoTeRiA formally integrates the technical system risk models with the social (safety culture and safety climate) and structural (safety practices) aspects of safety prediction models, and provides a theoretical basis for the integration. A systematic view of safety culture and safety climate leaves an important gap in modeling complex system safety risk, and SoTeRiA, describing the relationship between these two concepts, bridges this gap. The framework explicitly recognizes the relationship among constructs at multiple levels of analysis, and extends the PRA framework to include the effects of organizational factors in a more comprehensive and defensible way.     

Seismic risk of atmospheric storage tanks in the framework of quantitative risk analysis

The quantitative risk assessment of industrial facilities is based on integrated procedures to quantify human, environmental and economical losses related to relevant accidents. Accordingly, seismic risk analysis has to be integrated in order to obtain reliable results.In this work, some considerations regarding the intensity and probability of occurrence of earthquakes and the vulnerability of atmospheric storage tanks subjected to seismic actions are given.Structural vulnerability based on observational data has been processed in the form of “probit analysis”, a simple and useful statistic tool. Suggestions concerning industrial seismic-related accidental scenarios are also given.     

基于集对分析的空中交通管制运行风险评价

为了对空中交通管制运行风险进行有效的分析,首先根据SHEL模型确立管制运行风险评价指标体系,它由人的因素、硬件因素、软件因素、环境因素4个方面的17个因素组成;使用熵权法与超标倍数赋权法综合分析确定各指标权重;针对管制运行风险各评价指标的不确定性,利用集对分析理论进行分析,确定评价样本与指标之间的联系度,并对样本进行"同一""差异""对立"的集对分析来确定评价样本风险等级。结果表明,提出的集对分析模型对风险指标的处理结果与实际情况基本相符,可以用于空中交通管制运行风险评价。