上悬窗条件下通风控制腔室火灾温度的实验研究

随着建筑结构的发展,上悬窗日益成为城市建筑窗户的选择,但这种通风条件下腔室火灾的发展特性仍缺乏研究.利用1:8相似比例的缩尺寸腔室火灾实验台,实验研究了上悬窗不同开口尺寸、不同开窗角度下,通风控制的腔室火灾温度发展特性.实验结果表明,通风控制条件下,腔室火灾温度随着上悬窗开口尺寸和开窗角度的增加而增加,并通过能量平衡分...     

风险"疫苗"——智能化安全管理体系

采用预防医学中疫苗的概念,用于预防安全科学的风险管理.选用液氯仓库为研究对象,开发风险"疫苗"--智能化安全管理体系,预防氯气泄漏、中毒、火灾、爆炸事故的发生.风险"疫苗"的制作过程采用计算机技术、通讯技术和网络技术,使预防系统风险的可靠性进一步提高.     

对高层建筑临时高压消防给水系统若干规定的探讨

高层建筑的消防设计审核是消防执法中的重要环节.以规范为指导,根据我国国情和具体工程设计情况,对高层建筑临时高压消防水系统中有关消防水泵房的出水管的布置、高位消防水箱的容积以及增压设施的设置几方面的规定进行了探讨.     

某木材加工企业安全评价中的危险因素辨识

木材加工生产中危险有害因素较多,发生人员伤害事故的风险比较高. 用安全系统的理论和方法,以某木材加工企业生产过程为研究对象,通过危险有害因素辨识,对造成人员伤害的危险事件发生的可能性和导致伤害后果的严重程度进行了分析,为提出相应的安全对策措施提供了依据.     

溶解乙炔站爆炸半径估算及防火、防爆措施

介绍了国内溶解乙炔的生产工艺流程,对溶解乙炔站可能引起的火灾、爆炸原因进行了分析,估算生产过程中乙炔的爆炸半径.根据爆炸半径,提出防火、防爆措施,为溶解乙炔站的选址及设计提供技术支持.     

人的差错行为对矿山安全的模糊综合评判

人的差错行为对矿山安全有着极大的影响.对人的差错行为因素进行分析,利用模糊综合评判的方法,对某煤矿工人作业行为安全性的评判,确定该煤矿矿工行为的安全状态,从而及时了解矿工情绪、心理等状态,适时地进行安全培训教育,以保障人员安全作业.     

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...     

活塞风影响下地铁火灾烟气运动规律的数值模拟研究

地铁车站及地铁列车为人流密集的公众聚集场所,一旦发生火灾事故伤亡损失往往非常惨重,因此深入开展地铁火灾安全的研究有助于地铁安全管理工作。在合理分析地铁站台和列车火灾荷载的基础上,采用数值模拟方法对活塞风情况下地铁区间隧道火灾问题进行了模拟计算和分析,研究了在活塞风影响下的烟气蔓延规律和温度分布情况,其结果有助于提高地铁车站的运营的安全管理和发生火灾后的疏散指挥能力。     

Selection of appropriate organic additives for enhancing Zn and Cd phytoextraction by hyperaccumulators

Chelant-enhanced phytoextraction is one of the most promising technologies to remove heavy metals from soil. The key of the technology is to choose suitable additives in combination with a suitable plant. In the present study, laboratory batch experiment of metal solubilization, cress seeds germination were undertaken to investigate the metal-mobilizing capability and the phytotoxicity of organic additives, including ethylene diamine triacetic acid （EDTA）, citric acid, acetic acid, oxalic acid, glutamine and monosodium glutamate waste liquid （MGWL） from food industry. Experiments in pots were carried out to study the effects of the additives on Zn and Cd phytoextraction. Furthermore, a leaching experiment with lysimeter was performed to evaluate the environmental risks of additive-induced leaching to underground water. The results showed that EDTA had a strong mobilizing ability for Zn and Cd, followed by mixed reagent （MR） and MGWL. MGWL and acetic acid at 5 mmol equivalent per liter resulted in seed germination index less than 2%. Experiments in pots verified the phytotoxicity of acetic acid and MGWL. Addition of the mixed reagent at 6--10 mmol/kg significantly increased Zn phytoextraction by Thlaspi caerulescens. The same for EDTA and the mixed reagent at 10 mmol/kg by Sedum dfredii. But only mixed reagents could significantly increase Cd phytoextraction by the studied hyperaccumulators. This suggested that the strong chelant was not always the good agent to enhance phytoextraction. S. alfredii combined with 2--10 mmol/kg soil MR was preferred for phytoremediation of Cd/Zn contaminated soils in southern China, this could result in high phytoextraction of Cd/Zn and reduce the leaching risk to underground water than EDTA assisted phytoextration.     

Application of dynamic risk analysis in offshore drilling processes

Process safety is the common global language used to communicate the strategies of hazard identification, risk assessment and safety management. Process safety is identified as an integral part of process development and focuses on preventing and mitigating major process accidents such as fires, explosions, and toxic releases in process industries. Accident probability estimation is the most vital step to all quantitative risk assessment methods. Drilling process for oil is a hazardous operation and hence safety is one of the major concerns and is often measured in terms of risk. Dynamic risk assessment method is meant to reassess risk in terms of updating initial failure probabilities of events and safety barriers, as new information are made available during a specific operation. In this study, a Bayesian network model is developed to represent a well kick scenario. The concept of dynamic environment is incorporated by feeding the real-time failure probability values (observed at different time intervals) of safety barriers to the Bayesian network in order to obtain the corresponding time-dependent variations in kick consequences. This study reveals the importance of real-time monitoring of safety barrier performances and quantitatively shows the effect of deterioration of barrier performance on kick consequence probabilities. The Macondo blowout incident is used to demonstrate how early warnings in barrier probability variations could have been observed and adequately managed to prevent escalation to severe consequences.