液氨储罐连续泄漏事故后果的影响因素分析

液氨储罐连续泄漏会产生喷射火、闪火、蒸气云爆炸和中毒事故,利用DNV PHAST软件模拟分析了风速、大气稳定度和储存温度对事故后果的影响。结果表明,随着风速不断增大,喷射火、闪火和蒸气云爆炸后果逐渐减小,单纯大气扩散情况下,毒性后果随风速的增大而减小;大气稳定度对喷射火后果没有影响,闪火和蒸气云爆炸后果随大气稳定度增加有增大的趋势,毒性后果随大气稳定度增加而增大;随着储存温度升高,泄漏质量流率增加,喷射火、闪火、蒸气云爆炸和毒性后果逐渐增大。     

液化石油气站事故后果分析

本文分析了50t储备量的液化石油气站潜在的危险及有害因素,采用蒸气云爆炸及扩展蒸气云爆炸两种分析方法,对其事故后果进行分析。结果表明,液化石油气站发生火灾爆炸事故的影响范围很大,蒸气云爆炸远高于扩展蒸气云爆炸的破坏范围。本文分析结果可为液化石油气站日常管理以及事故预防与应急处理提供借鉴。     

ALOHA在突发性大气污染事故中的应用

以天津市某化工厂液氨罐泄漏为背景,在氨泄漏后果分析的基础上,用ALOHA(有害大气区域定位)模拟软件对事故影响范围进行模拟,得到可能事故场景下的氨气扩散区域、闪火可燃区域和蒸气云爆炸超压影响区域,以及射火和BLEVE火球热辐射影响.结果表明,液氨爆炸和火灾事故中BLEVE事故造成的危害范围最大,其次是蒸气云、闪火,最后是射火.液氨泄漏扩散事故影响范围可达几千米,应针对不同伤害区域采取不同方式和不同程度的救援措施.     

LPG储罐火灾爆炸事故后果模拟方法研究

系统分析了LPG的火灾爆炸危险性,总结了LPG储罐泄漏后可能发生的事故类型,比较了LPG储罐池火、沸腾液体扩展蒸气爆炸和蒸气云爆炸事故后果模拟方法,提出了预防LPG储罐区火灾爆炸事故的技术措施.     

城市燃气管网泄漏蒸气云爆炸事故风险评估

为解决城市燃气管网泄漏蒸气云爆炸事故的风险定量评估问题,提出一种网格化的风险评估方法。首先,综合分析管道故障的影响因素和管道泄漏蒸气云爆炸的后果损失类型,并计算管道的失效概率和管道某一点泄漏导致蒸气云爆炸后在一个网格内的后果损失货币量化值,两者相乘得到该网格中心点的风险值。然后,利用叠加场的原理,将对网格中心点有影响的管段各点风险值耦合叠加,得出各网格中心点的总风险值,进而绘制出评估区域的风险等值线。最后,应用于实例,绘制出某地区燃气管网泄漏蒸气云爆炸的风险等值线,根据风险可接受准则,评价区域划分为特别、重点和一般防护区,并得到相应的防护区域范围。结果表明：网格化的风险评估方法能够准确评估城市燃气管网泄漏蒸气云爆炸事故风险,并使区域风险划分相比传统方法更加精细和形象,有助于提高社会安全防护物资利用率。     

蒸气云爆炸模型在原油储罐火灾事故中的应用研究

本文分析了原油储罐的火灾爆炸事故特点,介绍了蒸气云爆炸模型中热辐射伤害模型以及TNT模型和TNO模型。选取蒸气云爆炸TNT模型以及热辐射伤害模型对10×104m3原油储罐泄漏事故形成的蒸气云爆炸进行后果定量分析,对事故产生的热辐射和冲击波对人员造成的伤害程度进行了对比分析,得出目标到爆炸源距离较近时热辐射对人员造成的伤害较大,目标到爆炸源距离较远时冲击波对人员造成的伤害较大。     

催化裂化装置火灾及爆炸事故后果分析

对石油化工企业典型生产装置--催化裂化装置发生火灾及爆炸事故后果进行分析,研究分析了催化裂化装置油浆泵泄漏引发池火灾和石油气泄漏引发无约束蒸气云爆炸两种事故的后果情况,给出这两种事故的各种伤亡半径,从而直观的为企业提供了事故后果情况,为企业的事故预防工作提供依据.     

基于MATLAB平台的凝聚相爆炸模型的分析与程序实现

主要利用MATLAB程序,实现凝聚相爆炸事故(CPE)的模型分析与计算,通过对凝聚相爆炸模型的分析和后果模拟,得出死亡、重伤的区域半径,为安全评价及分析的定量评价提供技术支撑.     

氯乙烯储罐的事故后果分析

氯乙烯具有毒性和易燃易爆性,如果泄漏至空气中,可能产生中毒或爆炸事故。笔者以某化工厂氯乙烯储罐为例,分析氯乙烯储罐可能发生的事故;对其主要事故危害,即中毒、蒸气云爆炸、扩展气体沸腾蒸气爆炸3种事故进行后果模型分析;计算出发生3种事故对人员伤亡和设备损坏造成的危害区域,并提出建议和对策。该研究结果可为同类企业进行安全管理提供科学依据和参考,有助于企业制定防范措施以及事故应急救援预案,从而减少人员伤亡及财产损失。     

LNG槽车泄漏事故风险模拟研究

阐述了LNG槽车的危险特性,分析了LNG槽车发生泄漏后的事故危害过程,得出LNG槽车泄漏危害事故的模式主要有闪火、喷射火、蒸气云爆炸以及沸腾液体扩展蒸汽爆炸;针对不同泄漏口面积和泄漏速度,利用风险评价软件模拟LNG槽车发生泄漏产生喷射火、蒸气云爆炸及沸腾液体扩展蒸汽爆炸3种事故模式的后果,得出各种事故模式的危害半径。模拟结果可为LNG槽车事故预防和应急救援提供参考。     

Factors in offshore planning that affect the risk for major accidents

The purpose of this paper is to systematically analyse a typical planning process in the offshore industry from the perspective of causes of major accidents, with the ultimate aim of identifying factors that affect the risk for major accidents occurring. We first study and describe a typical planning process for offshore oil and gas operations in Norway. Then we analyse a number of theories of major accidents, to see how the different theories and their explanations of causes and contributing factors can be of relevance for future plans and planning processes. Finally, we review accident investigations to search for evidence of how weaknesses in planning processes can contribute to major accidents through the above identified factors. Also, we try to identify any additional factors that have not been recognised through the theoretical review. This provides empirical support for the theoretical basis. Thirteen factors which directly or indirectly can influence the planning process causing a major accident potential are identified. These are exemplified through a review of investigation reports. The paper suggests that planning process should focus more on increasing quality in the plans at an early phase, with examples from incidents, and illustrate the relation between planning quality and potential for major accidents.     

Factors affecting accident severity inside and outside urban areas in Greece

Objectives: This research aims to identify and analyze the factors affecting accident severity through a macroscopic analysis, with a focus on the comparison between inside and outside urban areas. Disaggregate road accident data for Greece for the year 2008 were used. Methods: Two models were developed, one for inside and one for outside urban areas. Because the dependent variable had 2 categories, killed/severely injured (KSI) and slightly injured (SI), the binary logistic regression analysis was selected. Furthermore, this research aims to estimate the probability of fatality/severe injury versus slight injury as well as to calculate the odds ratios (relative probabilities) for various road accident configurations. The Hosmer and Lemeshow statistic and other diagnostic tests were conducted in order to assess the goodness-of-fit of the model. Results: From the application of the models, it appears that inside urban areas 3 types of collisions (sideswipe, rear-end, with fixed object/parked car), as well as involvement of motorcycles, bicycles, buses, 2 age groups (18-30 and older than 60?years old), time of accident, and location of the accident, seem to affect accident severity. Outside urban areas, 4 types of collisions (head-on, rear-end, side, sideswipe), weather conditions, time of accident, one age group (older than 60?years old), and involvement of motorcycles and buses were found to be significant. Conclusions: Factors affecting road accident severity only inside urban areas include young driver age, bicycles, intersections, and collision with fixed objects, whereas factors affecting severity only outside urban areas are weather conditions and head-on and side collisions, demonstrating the particular road users and traffic situations that should be focused on for road safety interventions for the 2 different types of networks (inside and outside urban areas). The methodology and the results of this research may provide a promising tool to prioritize programs and measures to improve road safety in Greece and worldwide.     

人失误模型在防止变电所检修事故中的应用

针对变电所检修事故的特点,认为人失误是导致该类事故发生的主要原因。运用安全人机工程学基本原理,分析了变电所检修过程中人失误产生的原因,在研究了以人失误为主因的事故模型基础上,进一步从人的特性、人机功能的分配、人机界面的设计、安全管理和环境因素五个方面人手构建了以人失误为主因的变电所检修事故模型,基于该模型提出了有效、合理的避免或减少变电所检修事故的五点对策措施。以期能为变电所检修事故的预防起到积极的指导作用。     

基于蝴蝶结模型分析“11·22”东黄输油管道泄漏爆炸事故

为了找出"11·22"中石化东黄输油管道泄漏爆炸事故发生原因及有效预防措施,利用蝴蝶结模型将事故树与事件树结合分析事故发生原因及后果,研究企业和政府相关部门在输油管线管理及泄漏处理方面存在的问题,提出有效的防范措施,对提高类似事故的管理与应急处置能力有一定的意义。     

Accident modelling and analysis in process industries

Accident modelling is a methodology used to relate the causes and effects of events that lead to accidents. This modelling effectively seeks to answer two main questions: (i) Why does an accident occur, and (ii) How does it occur. This paper presents a review of accident models that have been developed for the chemical process industry with in-depth analyses of a class of models known as dynamic sequential accident models (DSAMs). DSAMs are sequential models with a systematic procedure to utilise precursor data to estimate the posterior risk profile quantitatively. DSAM also offers updates on the failure probabilities of accident barriers and the prediction of future end states. Following a close scrutiny of these methodologies, several limitations are noted and discussed, and based on these insights, future work is suggested to enhance and improve this category of models further.     

行星传动起升机构飞车原因分析

建立行星传动起升机构电动机飞车的模型,计算电动机失电后各瞬间重物的速度、加速度,电动机的转速,从而分析事故的原因。     

一起轮式起重机吊装事故分析

介绍了2005年初新疆某油田发生的一起起重机吊装事故。通过对现场吊装钢丝绳的受力分析和计算，找出了导致事故发生的违章操作、吊装方法错误等方面原因。文中的分析结论为预防类似事故提供了可借鉴的参考。     

Application of CFD model in an LPG tank explosion accident

In this research, a 3D tank farm model of a petrochemical plant was built in order to analyze an LPG tank explosion accident. Furthermore, the Computational Fluid Dynamic (CFD) algorithm was also applied to reconstruct the scenario of the accident. With its 3D dynamic abilities, the CFD simulation results can be used to facilitate the understanding of the spatial and transient distribution of different hazardous physical variables, which cannot be observed from the traditional methods.After the maximum physical variables of overpressure, pressure-impulse, and thermal radiation temperature were calculated, the results were adopted to estimate the corresponding 3D individual risk value. With the aid of the CFD simulation and the analysis method of maximum physical variable, the researchers can use the simulation results to scrutinize the possible causes and consequences of a chemical accident.     

Systems-based accident analysis methods: A comparison of Accimap, HFACS, and STAMP

Three accident causation models, each with their own associated approach to accident analysis, currently dominate the human factors literature. Although the models are in general agreement that accidents represent a complex, systems phenomenon, the subsequent analysis methods prescribed are very different. This paper presents a case study-based comparison of the three methods: Accimap, HFACS and STAMP. Each was used independently by separate analysts to analyse the recent Mangatepopo gorge tragedy in which six students and their teacher drowned while participating in a led gorge walking activity. The outputs were then compared and contrasted, revealing significant differences across the three methods. These differences are discussed in detail, and the implications for accident analysis are articulated. In conclusion, a modified version of the Accimap method, incorporating domain specific taxonomies of failure modes, is recommended for future accident analysis efforts.     

Relation between occupational safety management and firm performance

Occupational accidents severely deteriorate human capital, and hence negatively affect the productivity and competitiveness of countries. But despite this, we still observe a scarcity of preventive practices, an unsatisfactory management commitment and an absence of safety culture among Spanish firms. The result is evident in firms’ high accident rates. This situation is a consequence of the general belief among firms that investing in safety is a cost, and hence has negative repercussions for their competitiveness. The current work aims to identify good practices in safety management, and analyse the effect of these practices on a set of indicators of organisational performance. For this, we first carry out an exhaustive literature review, and then formulate a series of hypotheses. We then test the proposed model on a sample of 455 Spanish firms. Our findings show that safety management has a positive influence on safety performance, competitiveness performance, and economic-financial performance. Hence they provide evidence of the compatibility between worker protection and corporate competitiveness.