基于FLACS的LNG船舶泄漏爆炸过程数值模拟研究

为研究大尺寸、全场景下LNG船舶卸货作业过程中的泄漏爆炸风险,构建某LNG接收站及其周边20.5 km2的区域场景模型,采用FLACS软件数值模拟LNG泄漏扩散、气云爆炸的演化过程.结果表明:LNG从卸料臂处以满输速率持续泄漏5 min,最大液池面积17 047 m2,最大汽化速率350 kg/m3,遇点火源发生气云爆...     

基于HCNAM-BN的化工过程爆炸事故致因链分析

为了从源头上预防化工过程爆炸事故,依据风险耦合理论,探讨了各风险因子非线性耦合演化为爆炸事故的机理,构建了层次耦合网络分析模型（HCNAM）;从多因素风险耦合角度分析了国内外44起典型化工过程爆炸事故,统计了各风险因子之间的耦合概率并进行了耦合致因重要度分级;采用耦合概率与二态分布相结合的条件概率分布,将层次耦合网络分析模型转化为贝叶斯网络,并对氯乙烯单体槽爆炸性混合气体爆炸事故进行了应用研究。结果表明:91种双因子耦合风险状态中,47种呈现弱耦合致因特性;7种因子双耦合形成风险的概率较大;基于HCNAM-BN模型分析事故,可有效辨识事故最可能致因因素,获取各事故致因链的发生概率并确定事故网络关键节点。     

山区村镇洪灾承灾能力评估——以神农架林区为例

针对我国山区村镇洪灾特点,以神农架林区为对象,提出了基于云模型的洪灾承灾能力评价方法。针对山区村镇条件和山洪特点,构建评估指标体系;建立基于逆向云发生器和综合云算法结合专家打分区间和最可能值确定指标权重、使用条件云发生器获得量化指标的评价水平、耦合得到评价结果的评价方法,并对全区八个乡镇的山洪承灾能力进行了评估,为林区规划提供科学依据。结果表明,林区各村镇山洪承灾能力总体较低,孕灾环境恶劣,专项应灾能力明显落后,其中松柏镇、阳日镇、红坪镇和下谷坪乡属于低水平,木鱼镇与新华镇属于较低水平,宋洛乡属于中等水平,九湖镇为高水平。案例结果表明该方法能够直观地将客观数据和主观认识反映为综合结果,有利于获得可靠的结论。     

Inhibition effects of aluminum dust explosions by various kinds of ammonium polyphosphate

In this work, vinyltriethoxysilane (A151) and 3-aminopropyltriethoxysilane (KH550) were used to modify ammonium polyphosphate (APP), showing that the dispersibility of APP could be improved remarkably by A151 and KH550. The maximum explosion pressure of aluminum dust explosion decreased with the addition of APP, A151-APP (APP-A) and KH550-APP (APP-B), with the exception of the case where the inerting ratio (α) of APP-A was less than 0.4. After the addition of APP-B, there was little difference in flame propagation behavior and explosion pressure compared with that of adding APP, indicating that APP-B could retain the inhibition performance of APP compared with APP-A. When the inerting ratios of APP, APP-A and APP-B were 1.2, 1.4 and 1.4, respectively, the aluminum dust explosion could be completely inhibited. The explosion residues of aluminum dust/APP mainly consisted of Al₂O₃, P-containing and N-containing compounds. It could be analyzed that APP exerted the inhibition effect through both chemical and physical effects.     

Study on acceleration and suppression properties of coal gangue with different void fractions on gas explosion propagation

Gas explosion is one of the main disasters in coal mining. Plenty of coal gangue are generally distributed in the disaster areas in gob. Experiments were carried out to explore the propagation law of the gas explosion distributed by coal gangue. The variation characteristics of the overpressure, pressure rise rate, and flame shape with void fractions were analyzed. The results showed that the effect of the coal gangue on the explosion intensity changed from suppression to acceleration with the increase of void fraction, the flame front upstream blockage area changed from laminar state to turbulent divergent state, and a reverse flame was formed. When the void fraction of the coal gangue was 0.50–0.65, the maximum overpressure downstream of the blocked area were positively correlated with the void fraction and the critical suppression range was between 0.50 and 0.55. When the void fraction was lower than 0.50, the flame was quenched in the coal gangue, neither the flame nor the pressure could pass through the blocked area. It is helpful to guide the improvement of coal recovery process to avoid the expansion of the explosion impact in coalmine gob.     

Influence of sewage culvert cover plate thickness on dynamic response and damage of the cover plate under gas explosion

In order to address the risk of combustible gas explosions in sewage culverts, a numerical model was established using ANSYS/LS-DYNA software. The model consisted of a culvert and a cover plate, and was used to study the effect of cover plate thickness (ranging from 0.08 m to 0.12 m) on the dynamic response and damage of the structure under explosive loads. The results indicated that, during the loading negative pressure stage, the equivalent stress peak value of the central monitoring unit of the cover plate first increased and then decreased with increasing cover plate thickness. Additionally, the maximum principal stress peak value first decreased and then increased, while the maximum shear stress peak value first increased and then decreased. During the loading positive pressure stage, the maximum principal strain peak value of the monitoring unit decreased overall with increasing cover plate thickness. However, the equivalent plastic strain peak value initially increased and then decreased gradually. The equivalent strain indicated that plastic damage occurred in the cover plate. Beyond a thickness of 0.11 m, increasing the cover thickness did not appear to enhance its resistance to plastic damage. The damage analysis revealed that as cover plate thickness increased, the peak displacement and velocity of the monitoring unit continued to decrease, while the overall stability and explosive resistance of the cover plate increased. Additionally, the number of damaged fragments decreased. However, once the cover plate thickness reached 0.11 m, the bonding performance of the reinforced concrete structure had been fully developed, increasing the thickness of the cover plate no longer had a significant impact on the explosive resistance of the cover plate.     

基于云模型的城轨信号系统安全保障能力评价方法

为准确评价城轨信号系统安全保障能力及影响因素,基于云理论对定性与定量因素的良好融合优点,构建城轨信号系统安全保障能力评价云模型及评价指标体系,采用组合赋权法对各指标赋予权重,并基于专家意见,利用正向云发生器生成标准云.结果表明:该云模型具有一定稳定性和可靠性,可对城轨信号系统安全保障能力进行有效测评,同时能够发现安全运...     

Safer and stronger together? Effects of the agglomeration on nanopowders explosion

Among the factors influencing dust explosion, the particle size distribution (PSD) is both one of the most important and complex to consider. For instance, it is commonly accepted that the explosion sensitivity increases when the particle size decreases. Such an assertion may be questionable for nano-objects which easily agglomerate. However, agglomerates can be broken during the dispersion process. Correlating the explosion parameters to the actual PSD of a dust cloud at the moment of the ignition becomes then essential. The effects of the moisture content and sieving were investigated on a nanocellulose powder and the impact of a mechanical agglomeration was evaluated using a silicon coated by carbon powder. Each sample was characterized before and after dispersion using in situ laser particle size measurement and a fast mobility particle sizer, and explosion and minimum ignition energy tests were conducted respectively in a 20 L sphere and in a modified Hartmann tube. It was observed that drying and/or sieving the nanocellulose mainly led to variations in terms of ignition sensitivity but only slightly modified the explosion severity. In contrast, the mechanical agglomeration of the silicon coated by carbon led to a great decrease in terms of ignition sensitivity, with a minimum ignition energy varying from 5 mJ for the raw powder to more than 1J for the agglomerated samples. The maximum rate of pressure rise also decreased due to modifications in the reaction kinetics, inducing a transition from St2 class to St1 class when agglomerating the dust.     

Minimum ignition energy of medicinal powder – Florfenicol and Tilmicosin

This work aims to help improve the electrostatic safety design and explosion prevention of medical facilities. In this study, the minimum ignition energies (MIEs) of Florfenicol, Tilmicosin and mixtures of Florfenicol and Tilmicosin at ratios of 1:1, 1:2, 2:1 and 1:4 were measured in a Hartmann apparatus. The results demonstrated that the MIEs for Florfenicol, Tilmicosin and mixtures of Florfenicol and Tilmicosin at ratios of 1:1, 1:2, 2:1 and 1:4 are 200, 70, 180, 150, 200 and 110 mJ, respectively. Tilmicosin is more sensitive to static electricity, which is more dangerous than the other two powders examined in this paper. Furthermore, the MIEs of the mixtures are proportional to the Florfenicol content. For all powders, the MIE first decreased with the powder mass and later reached its minimum value. In addition, scanning electron microscopy (SEM), differential scanning calorimetry (DSC) were used to investigate the morphological specificity and thermal decomposition of the powders to elucidate the parameters governing the powder explosions further.     

云技术在石油行业应急管理中的思考

面对石油行业突发事件全过程,利用大数据云处理技术,以应急管理4阶段为划分标准,将云技术运用到应急管理四大阶段当中,为解决缺乏合理的信息技术手段、应急信息搜集不全面、数据挖掘分析技术落后、决策支持模型构建不完善等落后的临时性应急管理模式,找寻到一种高效应急管理模式的新方向。