多米诺效应定量风险分析

根据多米诺效应的特点,提出了针对多米诺场景和效应后果的定量风险分析方法.首先辨识多米诺效应的事故场景,针对场景的复杂性和事故后果的严重性,运用数学模型和概率分析手段对主要事故场景进行分析; 其次根据初始事故的影响,运用设备损坏概率模型计算二次目标设备的损坏概率和场景的后果; 最后,运用人体脆弱性模型对效应后果进行分析,量化多米诺效应的风险,结合风险分析方法和理论得到直观的个人风险和F-N社会风险曲线.多米诺分析流程及计算的结果表明,多米诺效应对个人风险和社会风险都造成了显著的变化,加强多米诺效应分析有利于工厂规划布局和安全管理.     

化工园区冲击波超压的多米诺效应定量风险分析

根据化工园区石化装置密集程度高的特点,提出了一种针对化工园区的多米诺效应风险分析方法.通过分析初始事故带来的物理效应对邻近设备的影响,对由冲击波超压引起的多米诺效应进行了研究,计算二次设备的损坏概率;分析多米诺场景,计算多米诺事故的扩展概率,定量分析多米诺事故的后果.通过该方法可以得到化工园区内设备的多米诺效应风险指数和多米诺事故的后果分析.     

多米诺效应的风险分析方法

介绍与分析多米诺效应的相关研究,并针对多米诺效应的定量风险分析,建立了从多米诺场景辨识到后果分析的多米诺效应定量分析方法.通过分析初始事故带来的物理效应对邻近设备的影响,计算了二次设备的损坏概率;分析了多米诺场景,计算了多米诺事故频率,并根据多米诺事故的后果得到个人风险和社会风险曲线.多米诺效应的风险是工业区一个潜在的严重风险,加强多米诺效应的研究对工厂和工业区的安全管理与规划都有重要意义.     

危险品区多米诺效应的风险分析

根据多米诺效应的特点,提出了一种针对危险品区域的多米诺效应的风险分析方法.通过多米诺效应事故场景的辨识、设备的概率损坏模型和多米诺分析技术,分析区域内所有危险设备的多米诺效应风险指数和设备在多米诺事故链中的传播作用,定量分析多米诺事故后果.通过该方法可以得到区域内设备的多米诺效应风险指数和多米诺事故的后果风险.通过该方法可建立起区域的安全防范措施,从而有效预防潜在的多米诺效应,降低事故风险.     

基于多米诺效应的油品储罐区个人风险研究

介绍了多米诺效应的基本原理和多米诺事故发生的概率分析方法。提出在一定条件下进行储罐区风险评价时，多米诺效应对个人风险值的影响不容忽视，并给出了考虑多米诺效应的个人风险计算方法。最后利用开发的个人风险计算软件通过分析计算，给出了某储罐区的个人风险等值线分布图。结果表明，该罐区正北方向相邻的一劳动密集型工厂需搬迁，或采取相应安全保护措施降低风险。该方法考虑了多米诺效应对装置事故发生概率的影响，能提高个人风险计算结果的真实性与准确性。     

基于贝叶斯网络的事故多级多米诺效应计算方法研究

为了更合理地分析事故风险,提出了基于贝叶斯网络的多级多米诺效应计算方法及其计算步骤,并从个人风险和社会风险2个角度,定量分析了生产安全事故的多级多米诺效应。同时以某企业的2个汽油罐区为例,运用上述方法对其生产安全事故的多米诺效应进行定量计算,并将计算结果与未考虑多米诺效应、仅考虑一级多米诺效应时的计算结果进行比较。研究结果表明:基于贝叶斯网络的计算方法,同时考虑了多级多米诺效应和事故的协同效应,可以使计算的个人风险和社会风险更接近于实际。     

化工装置多级多米诺效应定量风险评价模型的建立及应用

化工装置的多级多米诺效应事故可造成比初始事故、一级多米诺效应事故更加严重的灾难性后果,因此对化工装置多级多米诺效应的风险进行科学的评价迫在眉睫。在文献调研的基础上,给出了二级多米诺效应的风险评价模型并用于实例分析,结果表明考虑二级多米诺效应后风险增大且不可忽略,同时证明了模型的科学性、有效性与实用性。科学合理的评价结果可为企业选址及防灾减灾提供理论依据,具有十分重要的现实意义。     

质子交换膜燃料电池电站多米诺事故概率和风险研究*

为探究氢能电站火灾爆炸事故发展规律,采用多米诺效应对电站进行事故概率和风险研究,建立氢能电站多米诺效应定量风险分析模型。基于设备受损概率模型与多米诺理论基础,提出氢能电站多米诺效应概率计算方法,并将方法运用到实际案例,结合SAFETI软件对具体多米诺事故场景进行定量计算。研究结果表明:氢能电站易发生多米诺事故,考虑一级多米诺效应后人员潜在死亡概率增加56%。研究结果可为制定氢能电站安全防控措施以及降低火灾爆炸事故对人员和设备的危害提供依据。     

某储罐区火灾多米诺效应场景推演

化工园区中危险源众多,一旦发生事故很容易在整个园区内蔓延和发展。针对化工园区内储罐密集,容易引发连锁反应导致事故扩大的特点,利用FDS软件对储罐火灾场景进行数值模拟,根据储罐所受热辐射确定化工园区内储罐火灾最可能的事故发生序列,并引入基于设备失效前时间的机械设备故障概率模型对罐区内单个储罐的火灾风险进行研究,得到储罐区火灾多米诺效应的时空演变。以某储罐区火灾为例,对多米诺效应下的火灾场景进行推演,结果表明该方法可以准确地预测多米诺效应过程中储罐的火灾风险,为化工园区应急响应提供有效支持。     

考虑多米诺效应的LNG事故后果定量风险分析

为提高液化天然气(LNG)事故后果定量风险分析(QRA)的准确性,在分析中考虑多米诺效应对后果(个人风险)的影响。个人风险计算步骤包括确定初始事故,选择合适的模型计算初始事故产生的热辐射和超压值,计算事故周边设备的损坏概率以及多米诺场景概率;根据多米诺场景概率和人体脆弱性模型,计算目标点个人风险值;以LNG加注时火灾爆炸事故为例,计算个人风险值。通过案例分析,对比考虑多米诺效应和不考虑多米诺效应2种情况所得出的个人风险值。最终研究表明:考虑多米诺效应所得出的个人风险值明显高于不考虑多米诺效应所得出的值,且更加准确。     

基于多米诺效应的定量风险评价研究

多米诺效应是引发化工重大事故的主要原因之一.本文综合国内外的研究成果,对火灾热辐射、冲击波超压等造成的多米诺效应进行了深入分析,建立基于多米诺效应的定量风险评价模型,其中包括了评价流程、传播概率、阈值距离计算、多米诺效应对事故频率的影响及后果分析的内容.最后利用Matlab7.1计算平台,以汽油储罐进行实例分析,结果表明该方法是一种适用于多米诺效应定量评价的良好方法,能够比较科学、有效的对危险单元进行风险评价,使重大事故风险评价更切合实际,为政府监管部门和化工企业进行事故的控制和预防提供决策技术.     

基于T-S模糊故障树的输气站场设备失效可能性研究

针对目前国内缺乏输气站场设备失效数据库的特点,同时考虑到设备具有不同的故障程度,提出将指标评价引入至T-S模糊故障树分析中,对设备进行失效可能性分析。首先构建设备的T-S模糊故障树;其次对故障树底事件进行指标评价,转化成当前工况下的故障程度;再次对设备的故障可能性值进行计算;最后,利用模糊数学的方法将故障可能性值转化为失效概率,并参考API 581中的失效概率等级对设备进行失效可能性等级划分。实例分析表明,该方法不仅比传统故障树分析更切合实际,又能够避免指标评价法淡化关键指标的不足,且兼具定量评价与半定量评价的优点。     

A model for estimating the impact of the domino effect on accident frequencies in quantitative risk assessments of storage facilities

It is well known that the domino effect can have a major impact on accidents in storage facilities, as it can increase the consequences of an initial event considerably. However, quantitative risk assessments (QRAs) do not usually take the domino effect into account in a detailed, systematic way, mostly because of its complexity and the difficulties involved in its incorporation. We have developed a simple method to include the domino effect in QRAs of storage facilities, by estimating the frequency with which new accidents will occur due to this phenomenon. The method has been programmed and implemented in two case studies. The results show that it can indeed be used to include the possibility of domino effect occurrence in a QRA. Furthermore, depending on the design of a facility, the domino effect can have a significant effect on the associated risk.     

Dynamic risk assessment for underground gas storage facilities based on Bayesian network

Loss of the underground gas storage process can have significant effects, and risk analysis is critical for maintaining the integrity of the underground gas storage process and reducing potential accidents. This paper focuses on the dynamic risk assessment method for the underground gas storage process. First, the underground gas storage process data is combined to create a database, and the fault tree of the underground gas storage facility is built by identifying the risk factors of the underground gas storage facility and mapping them into a Bayesian network. To eliminate the subjectivity in the process of determining the failure probability level of basic events, fuzzy numbers are introduced to determine the prior probability of the Bayesian network. Then, causal and diagnostic reasoning is performed on the Bayesian network to determine the failure level of the underground gas storage facilities. Based on the rate of change of prior and posterior probabilities, sensitivity and impact analysis are combined to determine the significant risk factors and possible failure paths. In addition, the time factor is introduced to build a dynamic Bayesian network to perform dynamic assessment and analysis of underground gas storage facilities. Finally, the dynamic risk assessment method is applied to underground gas storage facilities in depleted oil and gas reservoirs. A dynamic risk evaluation model for underground gas storage facilities is built to simulate and validate the dynamic risk evaluation method based on the Bayesian network. The results show that the proposed method has practical value for improving underground gas storage process safety.     

Quantitative risk assessment of domino effect in Natech scenarios triggered by lightning

Lightning strike is the natural event more frequency causing Natech accidents involving atmospheric storage tanks. Despite the resulting fires have usually limited severity and only local effects, domino effect may cause the escalation of these primary events, possibly affecting nearby pressurized storages and process equipment, thus resulting in relevant increase in the potential area impacted. A methodology was developed for the quantitative assessment of risk due to domino effects caused by Natech accidents triggered by lightning. A comprehensive procedure was obtained, tailoring lightning risk assessment to include probabilistic models for domino escalation based on probit approach and combinatorial analysis. The methodology was applied to a case-study to evidence the shift in risk figures due to domino effect and the credibility of the secondary domino scenarios. The results of the case-study show that an increase up to two orders of magnitude with respect to risk calculated for conventional scenarios is possible when considering lightning-induced Natech primary scenarios and their escalation.     

基于LOPA逻辑的罐区多米诺效应定量风险评估*

为了更好地降低化工企业罐区事故造成多米诺效应的风险,提出1种基于保护层分析（LOPA）的定量风险评估程序。首先,阐述基于保护层分析(LOPA)逻辑的多米诺定量风险评估流程,即引入包括可用性、有效性及3种逻辑门定义及量化的安全屏障定量评估;然后,利用LOPA的分析逻辑将安全屏障融入多米诺定量风险评估框架中;最后,选取2×2 000 m3苯乙烯罐区为对象,识别防火层与喷淋冷却系统2种安全屏障并开展基于LOPA逻辑的罐区多米诺效应定量风险评估,得出安全屏障能有效地降低多米诺事故发生频率及罐区个人风险的结论。研究结果表明:该分析方法可为化工企业开展多米诺效应定量风险评估提供参考。     

Quantitative assessment of domino scenarios by a GIS-based software tool

A software procedure was developed for the quantitative assessment of domino effect. The procedure was based on a systematic methodology for the identification of domino scenarios and for the assessment of consequences and expected frequencies of the escalation events. A geographical information system (GIS) platform was interfaced to the domino assessment software. The implementation of plant lay-out data to the GIS allowed the automatic identification of the possible targets of escalation effects by the software procedure, and a straightforward calculation of the contribution to individual and societal risk indexes caused by the possible domino scenarios. The procedure was applied to the analysis of several case-studies based on actual plant lay-outs. The results evidenced that the approach allows the quantitative assessment of risk caused by escalation events with a limited additional effort with respect to that required by a conventional QRA. The use of a GIS-based software was a key element in the limitation of the effort required for the quantitative assessment of domino scenarios. Moreover, the results of the case-studies pointed out that the estimation of risk increase due to domino events is an important tool for an effective assessment and control of industrial risk in chemical and process plants.     

化工储罐区池火灾多米诺效应风险评估

化工储罐区储罐数量较多且集中,一旦发生事故很可能诱发多米诺效应造成灾难性的后果。在分析池火灾多米诺效应作用模式的基础上,建立了池火灾多米诺效应风险评估模型,并对某化工储罐区进行了实例计算,分析了单一储罐池火灾事故引发其他储罐池火灾的风险。分析结果表明,池火灾是诱发化工储罐多米诺事故的重要因素,且会造成风险的显著增加,但并非所有的池火灾事故都会诱发多米诺效应。此外,将多米诺效应评价方法应用于化工储罐池火灾事故风险评估中可有效地预测次生事故的发生概率和后果,从而提出针对性措施。