A quantitative correlation of evaluating the flame speed for the BST method in vapor cloud explosions

In recent decades, vapor cloud explosions (VCEs) have occurred frequently and resulted in numerous personnel injuries and large property losses. As a main concern in the petrochemical industry, it is of great importance to assess the consequence of VCEs. Currently, the TNT equivalency method (TNT EM), the TNO multi-energy method (TNO MEM), and the Baker-Strehlow-Tang (BST) method are widely used to estimate the blast load from VCEs. The TNO MEM and BST method determine the blast load from blast curves based on the class number and the flame speed, respectively. To quantitatively evaluate the flame speed for the BST method, the experimental data is adopted to validate the confinement specific correlation (CSC) for the determination of the class number in the TNO MEM. As a bridge, a quantitative evaluation correlation (QEC) between CSC correlation and the flame speed is established and the blast wave shapes corresponding to different flame speeds are proposed. CFD software FLACS was used to verify the quantitative correlation with the numerical models of three geometrical scales. It is found that the calculated flame speeds by the QEC are in good agreement with the simulated ones. A petrochemical plant is selected as a realistic scenario to analyze the TNT EM, TNO MEM, BST method and FLACS simulations in terms of the positive-phase side-on overpressure and impulse at different distances. Compared with the flame speed table, the predicted overpressure from BST curves determined by the proposed QEC is closer to that from FLACS and more conservative. Furthermore, the predicted results of different methods are compared with each other. It is found that the estimated positive-phase side-on overpressure and impulse by the TNO MEM are the largest, and the estimated impulse by the TNT EM is the smallest. Moreover, the estimated overpressure and impulse are larger in the higher reactivity gas.     

Detonations and vapor cloud explosions: Why it matters

The methods used to evaluate the consequences of a vapor cloud explosion assume deflagrations within congested process pipework regions and consequently a significant effort has been invested in developing models to estimate the severity of these deflagrations. Models range from the simpler screening approaches to detailed Computational Fluid Dynamics. There is clear evidence from large scale experiments and incidents that transition from deflagration to detonation is credible and has occurred and it is the contention of this paper that deflagration is only the first stage in many major vapor cloud explosions and that detonation is readily foreseeable. Why does this matter? The methods currently used in the design and location of buildings on and around process sites are based on an incomplete picture of vapor cloud explosions. Whilst this might not have a significant effect in some cases, it is shown that there is the potential to significantly underestimate the explosion hazard. This will result in occupied buildings either being placed in the wrong location or under-designed for the explosion threat, increasing the risks to personnel on these sites.     

惰性物对爆炸的遏制

利用爆炸激波管技术研究了部分惰性物对爆炸特性的影响。用多通道辐射高温计测量了氮气对汽油爆轰温度的影响。研究表明，增加氮气含量可以较明显地降低汽油爆轰温度。采用化学当量配比氢氧混合物爆轰产生水蒸气的方法研究了水蒸气对汽油爆轰特性的影响。研究表明，水蒸气能明显降低爆炸压力，水蒸气压力增加到0．1MPa时可导致爆炸熄灭；硝基甲烷和氧气混合物中充人氮气后爆炸压力明显下降，采用光多通道分析系统(OMA谱仪)和多台单色谱仪的光谱测量结果表明，反应中间产物的CH3O、CH辐射强度迅速衰减，反应衰竭。     

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。     

Application of the TNO multi-energy and Baker-Strehlow-Tang methods to predict hydrogen explosion effects from small-scale experiments

Analytical models or abacus are of importance to predict explosion effects in open and congested areas for industrial safety reasons. The goal of this work is to compare overpressure and flame speed values of small-scale deflagration experiments to predicted values from the TNO multi-energy (TNO ME) method and the Baker-Strehlow-Tang (BST) method. Experiments were performed in cylindrical congested volumes of hydrogen – air mixtures varying from 1.77 L to 7.07 L. The reactivity was controlled by the equivalence ratio of hydrogen-air mixtures, ranging from 0.5 to 2.5. The congestion was realized with varying numbers of grid layers and configurations. The influence of the obstacle density and the importance of the mixture reactivity to choose the strength index in order to predict the effects of an explosion has been highlighted for the TNO ME method. Predictive flame speed values from the BST method are in accordance with almost half of the experimental results and the method is conservative in most tested configurations. The use of the TNO ME method has been validated on a small-scale experiment to predict maximal overpressures generated by the deflagration of medium and large-scale H₂/air clouds.     

叔丁醇燃爆危险性研究

为预防叔丁醇氧化制甲基丙烯酸甲酯工艺过程中燃爆危险的发生,利用11L爆轰管测定不同工况温度、压力条件下,叔丁醇在不同氧含量的氧氮混合气中的爆炸极限,得到不同工况条〖JP2〗件下“叔丁醇-氧气-氮气”混合体系的燃爆区域;针对工艺过程中存在水蒸汽的条件,研究了水蒸汽含量对叔丁醇燃爆的影响。结果表明:叔丁醇在80℃、015MPa,170℃、015MPa,280℃、01MPa条件下的极限氧含量分别为159%、153%和135%;随着水蒸汽含量的升高,叔丁醇爆炸极限范围变小,在80℃、015MPa,170℃、015MPa条件下当水蒸汽含量增加到27%和34%时无燃爆现象发生。     

A violent,episodic vapour cloud explosion assessment: Deflagration-to-detonation transition

A large vapour cloud explosion (VCE) followed by a fire is one of the most dangerous and high consequence events that can occur in petrochemical facilities. The current process of safety practice in the industry in VCE assessment is to assume that all VCEs are deflagration. This assumption has been considered for nearly three decades. In recent years, major fire and VCE incidents in fuel storage depots gained considerable attention in extreme high explosion overpressure due to the transition from Deflagration to Detonation (DDT). Though the possibility of DDTs is lower than deflagrations, they have been identified in some of the most recent large-scale VCE incidents, including Buncefield (UK), 2005, San Juan explosion (US), 2009, and IOCL Jaipur (India), 2009 event. Such an incident established the need to understand not only VCE but also the importance of avoiding the escalation of minor incidents into much more devastating consequences.Despite decades of research, understanding of the fundamental physical mechanisms and governing factors of deflagration-to detonation transition (DDT) transition remains mostly elusive. An extreme multi-scale, multi-physics nature of this process uncertainly makes DDT one of the “Grand Challenge” problems of typical physics, and any significant developments toward its assured insistence would require revolutionary step forward in experiments, theory, and numerical modelling. Under certain circumstances, nevertheless, it is possible for DDT to occur, and this can be followed by a propagating detonation that quickly consumes the remaining detonable cloud. In a detonable cloud, a detonation creates the worst accident that can happen. Because detonation overpressures are much higher than those in a deflagration and continue through the entire detonable cloud, the damage from a DDT event is more severe. The consideration of detonation in hazard and risk assessment would identify new escalation potentials and recognize critical buildings impacted. This knowledge will allow more effective management of this hazard.The main conclusion from this paper is that detonations did occur in Jaipur accident at least part of the VCE accidents. The vapour cloud explosion could not have been caused by a deflagration alone, given the widespread occurrence of high overpressures and directional indicators in open uncongested areas containing the cloud. Additionally, the major incident has left many safety issues behind, which must be repeatedly addressed. It reveals that adequate safety measures were either underestimated or not accounted for seriously. This article highlights the aftermath of the IOCL Jaipur incident and addresses challenges put forward by it.     

工业过程爆炸事故模式及其破坏效应探讨

从工业生产中的介质类型出发,通过对内装固体的、液体的及气体的介质装置可能发生的爆炸事故和破坏效应进行分析预测,编制了相应的分析流程图。结果表明:无论从哪种介质进行分析,最终的爆炸事故模式只有凝聚相爆炸、气云爆炸、沸腾液体扩展蒸气云爆炸及各类形式的容器爆炸。简要分析了几种事故模式破坏效应的最佳计算模型和应用实例,证明了所做的分析预测和编制的流程图,可以很好地应用于判断事故模式中爆炸源性质及其破坏效应,是对爆源的一个定性分析方法,同时为爆炸能量计算的重要依据。工业过程爆炸事故模式及其破坏效应的研究对企业的安全生产及爆炸事故的预防具有一定的实用价值。     

Prediction of gas explosion pressures: A machine learning algorithm based on KPCA and an optimized LSSVM

A gas explosion, as a common accident in public life and industry, poses a great threat to the safety of life and property. The determination and prediction of gas explosion pressures are greatly important for safety issues and emergency rescue after an accident occurs. Compared with traditional empirical and numerical models, machine learning models are definitely a superior approach. However, the application of machine learning in gas explosion pressure prediction has not reached its full potential. In this study, a hybrid gas explosion pressure prediction model based on kernel principal component analysis (KPCA), a least square support vector machine (LSSVM), and a gray wolf optimization (GWO) algorithm is proposed. A dataset consisting of 12 influencing factors of gas explosion pressures and 317 groups of data is constructed for developing and evaluating the KPCA-GWO-LSSVM model. The results show that the correlations among the 12 influencing factors are eliminated and dimensioned down by the KPCA method, and 5 composite indicators are obtained. The proposed KPCA-GWO-LSSVM hybrid model performs well in predicting gas explosion pressures, with coefficient of determination (R²), root mean square error (RMSE), and mean absolute error (MAE) values of 0.928, 26.234, and 12.494, respectively, for the training set; and 0.826, 25.951, and 13.964, respectively, for the test set. The proposed model outperforms the LSSVM, GWO-LSSVM, KPCA-LSSVM, beetle antennae search improved BP neural network (BAS-BPNN) models and reported empirical models. In addition, the sensitivity of influencing factors to the model is evaluated based on the constructed database, and the geometric parameters X1 and X2 of the confined structure are the most critical variables for gas explosion pressure prediction. The findings of this study can help expand the application of machine learning in gas explosion prediction and can truly benefit the treatment of gas explosion accidents.     

A multivariable model for estimation of vapor cloud explosion occurrence possibility based on a Fuzzy logic approach for flammable materials

In this paper, a new method based on Fuzzy theory is presented to estimate the occurrence possibility of vapor cloud explosion (VCE) of flammable materials. This new method helps the analyst to overcome some uncertainties associated with estimating VCE possibility with the Event Tree (ET) technique. In this multi-variable model, the physical properties of the released material and the characteristics of the surrounding environment are used as the parameters specifying the occurrence possibility of intermediate events leading to a VCE. Factors such as area classification, degree of congestion of a plant and release rate are notably affecting the output results. Moreover, the proposed method benefits from experts' opinions in the estimation of the VCE possibility. A refrigeration cycle is used as the case study and the probability of VCE occurrence is determined for different scenarios. In this study, sensitivity analysis is performed on the model parameters to assess their effect on the final values of the VCE possibility. Furthermore, the results are compared with the results obtained using other existing models.     

基于两相流模型数值研究可燃颗粒燃烧爆轰的特性

粉尘爆炸是工业爆炸灾害的重要形式。建立可燃颗粒非均相系统的燃烧爆轰模型,基于Eulerian-Eulerian数值描述方法,采取有限差分方法编制非均相系统燃烧和爆轰发展的数值模拟程序,对封闭空间内两相非定常爆轰过程进行研究。数值分析可燃颗粒尺度、颗粒浓度对非均相系统燃烧、爆轰特性的影响。结果表明:在一定的范围内,当可燃颗粒的体积分数为10%,粒径0.5mm时,流场的燃烧爆轰效应最强。即10.6ms时刻,流场压力值达到28MPa,温度高达2600K,颗粒燃烧效率最高。     

LPG船液货泄漏事故风险评估系统研究

通过对液化石油气(LPG)船舶液货舱泄漏事故危险度因素分析,建立液化气液体货物泄漏源强、蒸气释放源强和蒸气扩散计算模型,并制定泄漏事故风险评价流程,基于VB语言编写泄漏事故风险评估系统。利用该系统能够计算得出泄漏事故发生后蒸发气在不同时刻不同区域的蒸发气浓度、爆炸或火灾后对生命财产的伤害半径以及伤害程度等相关参数。对某航行状态下的LPG实船进行模拟分析,结果表明能够对LPG船舶泄漏事故进行有效风险评估,并能对船舶航行安全应急预案的制定和事故后海事鉴定提供一定的技术帮助。     

工业粉尘“二次爆炸”过程研究

开展了工业粉尘“二次爆炸”过程实验室研究工作。对玉米淀粉、小麦粉等粮食粉尘进行了研究，得到了“二次爆炸”发展过程以及最后形成的爆轰波特性，还进一步研究了粉尘层冲击波卷扬过程和分析讨论了粉尘“二次爆炸”过程的影响因素。     

Effect of separation distance on gas dispersion and vapor cloud explosion in a storage tank farm determined using computational fluid dynamics

Storage tank separation distance, which considerably affects forestalling and mitigating accident consequences, is principally determined by thermal radiation modeling and meeting industry safety requirements. However, little is known about the influence of separation distance on gas dispersion or gas explosion, which are the most destructive types of accidents in industrial settings. This study evaluated the effect of separation distance on gas dispersion and vapor cloud explosion in a storage tank farm. Experiments were conducted using Flame Acceleration Simulator, an advanced computational fluid dynamics software program. Codes governing the design of separation distances in China and the United States were compared. A series of geometrical models of storage tanks with various separation distances were established. Overall, increasing separation distance led to a substantial reduction in vapor cloud volume and size in most cases. Notably, a 1.0 storage diameter separation distance appeared to be optimal. In terms of vapor cloud explosion, a greater separation distance had a marked effect on mitigating overpressure in gas explosions. Therefore, separation distance merited consideration in the design of storage tanks to prevent gas dispersion and explosion.     

爆炸形成过程中火焰加速的试验研究

为预防和控制工业爆炸事故,并为脉冲爆轰发动机的研究提供理论指导,分析火焰加速导致的燃烧转爆轰过程的影响因素。采用爆轰管探讨障碍物的阻塞比、混合物的组成、初始压力和点火能等4个因素对爆炸性气体火焰速度和爆轰压力的影响规律。试验结果表明:障碍物的存在能大大提高火焰速度和爆轰压力;爆轰压力随管内障碍物阻塞比的增大先变大后减小,并在阻塞比为0.498,燃料种类为天然气,化学当量比为1时达到最大;爆轰压力还随混合气体初始压力的增大和点火能的提高而增大。选择适宜的条件可大大提高火焰加速速率,促进燃烧向爆轰过程转变。     

Measurement of gas detonation blast loads in semiconfined geometry

The ignition and explosion of combustible vapor clouds represents a significant hazard across a range of industries. In this work, a new set of gas detonations experiments were performed to provide benchmark blast loading data for non-trivial geometry and explosion cases. The experiments were designed to represent two different accident scenarios: one where ignition of the vapor cloud occurs shortly after release and another where ignition is delayed and a fuel concentration gradient is allowed to develop. The experiments focused on hydrogen-air and methane-oxygen detonations in a semiconfined enclosure with TNT equivalencies ranging from 9 g to 1.81 kg. High-rate pressure transducers were used to record the blast loads imparted on the interior walls of a 1.8 m × 1.8 m × 1.8 m test fixture. Measurements included detonation wave velocity, peak overpressure, impulse, and positive phase duration. A comparison of the pressure and impulse measurements with several VCE models is provided. Results show that even for the most simplified experimental configuration, the simplified VCE models fail to provide predictions of the blast loading on the internal walls of the test fixture. It is shown that the confinement geometry of the experiment resulted in multiple blast wave reflections during the initial positive phase duration portion of the blast loading, and thus, significantly larger blast impulse values were measured than those predicted by analytical models. For the pressure sensors that experienced normally-reflect blast waves for the initial blast impulse, the Baker-Strehlow and TNT equivalency models still struggled to accurately capture the peak overpressure and reflected impulse. The TNO multi-energy model, however, performed better for the case of simple normally-reflected blast waves. The results presented here may be used as validation data for future model or simulation development.     

Explosion of solvent vapor in a ring partition of the floating roof

The relative importance of the vapor cloud explosion (VCE) hazard has grown in recent years. Many of large disasters were attributed to the VCE. This article introduced an explosion accident of solvent vapor in a ring partition of floating roof in detail. Source of explosive materials and ignition reason were analyzed, and the blast equivalency in ring partition was estimated in the specific conditions. The case would provide a reference for preventing the similar accident.     

Measurement and relationship between critical tube diameter and critical energy for direct blast initiation of gaseous detonations

For the explosion safety assessment in industrial setting, detonation dynamic parameters provide important information on the sensitivity and conditions whereby detonations can be favorably occurred. In this study, new measurement of the critical tube diameter and the critical energy for direct initiation of a detonation is reported for a number of hydrocarbon–oxygen mixtures. The simultaneous experimental measurement carried out in this work allows the investigation of the direct scaling between these two dynamic parameter quantities of gaseous detonations. Using the new set of data, this paper also assesses the validity of an existing semi-empirical initiation model, namely, the surface energy model by Lee, and a simplified work done model. Both phenomenological models provide a general relationship between the two dynamic detonation parameters and comparison shows a good agreement between the theoretical results and the experimental measurement. The scaling of critical tube diameter with detonation cell size in this study also confirms the results in the previous literature.     

A review on hybrid mixture explosions: Safety parameters,explosion regimes and criteria,flame characteristics

The hybrid mixture of combustible dusts and flammable gases/vapours widely exist in various industries, including mining, petrochemical, metallurgical, textile and pharmaceutical. It may pose a higher explosion risk than gas/vapor or dust/mist explosions since the hybrid explosions can still be initiated even though both the gas and the dust concentration are lower than their lower explosion limit (LEL) values. Understanding the explosion threat of hybrid mixtures not only contributes to the inherent safety and sustainability of industrial process design, but promotes the efficiency of loss prevention and mitigation. To date, however, there is no test standard with reliable explosion criteria available to determine the safety parameters of all types of hybrid mixture explosions, nor the flame propagation and quenching mechanism or theoretical explanation behind these parameters. This review presents a state-of-the-art overview of the comprehensive understanding of hybrid mixture explosions mainly in an experimental study level; thereby, the main limitations and challenges to be faced are explored. The discussed main contents include the experimental measurement for the safety parameters of hybrid mixtures (i.e., explosion sensitivity and severity parameters) via typical test apparatuses, explosion regime and criterion of hybrid mixtures, the detailed flame propagation/quenching characteristics behind the explosion severities/sensitivities of hybrid mixtures. This work aims to summarize the essential basics of experimental studies, and to provide the perspectives based on the current research gaps to understand the explosion hazards of hybrid mixtures in-depth.     

燃烧、爆炸过程复杂性行为的非线性动力学(Ⅰ)

从非线性动力学观点,总结了燃烧和爆炸系统的多种复杂现象。指出了其非线性现象之间的对应关系。提出了从非线性即从“系统”、“全局或大范围”、“演化”及“统一”地观点认识燃烧和爆炸现象的观点。