|

|
IJE TRANSACTIONS B: Applications Vol. 30, No. 8 (August 2017) 1144-1151
|
Downloaded:
82 |
|
Viewed:
1560 |
|
|
RESEARCH ON SAFETY RISK OF DANGEROUS CHEMICALS ROAD TRANSPORTATION BASED ON DYNAMIC FAULT TREE AND BAYESIAN NETWORK HYBRID METHOD (TECHNICAL NOTE)
|
|
|
B. Xiao-ping and S. Wei-Hua
|
|
|
( Received:
February 23, 2017
– Accepted in Revised Form: July 07, 2017 )
|
|
|
Abstract
Safety risk study on road transportation of hazardous chemicals is a reliable basis for the government to formulate
transportation planning and preparing emergent schemes, but also is an important reference for safety risk managers to
carry out dangerous chemicals safety risk managers. Based on the analysis of the transport safety risk of dangerous
chemicals at home and abroad, this paper studied four main factors influencing the safety risk of road transportation.
In order to study the reliability of the whole road transport system and take into account the dynamic changes of the
safety risk, this paper presents the dynamic fault tree and Bayesian network hybrid method to identify and evaluate the
dynamic safety risk of the road transportation of dangerous chemicals. Finally, the feasibility of the model is verified
by the case study of road transportation of liquefied natural gas in a real enterprise.
|
|
|
Keywords
Safety, Risk, Reliability, Dangerous Chemicals, Road, Transportation
|
|
|
چکیده
مواد شیمیایی خطرناک به طور
گسترده در تولید و امکانات زندگی رخ می دهد. در
طی فرایند حمل و نقل مواد شیمیایی خطرناک، زمانی که یک اتفاق رخ دهد، تلفات عمده و
آسیب های ملکی و محیط اطراف جدی خواهد بود. بنابراین،
تحقیق برای ایمنی حمل و نقل جاده ای مواد شیمیایی خطرناک کاملا ضروری است. مطالعات
ایمنی حمل و نقل جاده ای مواد شیمیایی خطرناک یک اساس قابل اعتمادی برای دولت برای
طراحی برنامه ریزی حمل و نقل و تهیه طرح های در حال ظهور است، اما مرجع مهمی برای
مدیران ایمنی برای پیشبرد مدیریت ایمنی مواد شیمیایی خطرناک است. به
منظور بررسی قابلیت اطمینان کل سیستم حمل و نقل جاده ای و توجه به تغییرات
دینامیکی خطر ایمنی براساس تجزیه و تحلیل خطر ابتلا به مواد شیمیایی خطرناک حمل و
نقل در داخل و خارج از کشور، در این مقاله چهار عامل اصلی تاثیرگذار بر ایمنی خطر
حمل و نقل جاده ای و ارائه یک درخت گنگ پویا و روش ترکیبی شبکه Bayesian برای
شناسایی و ارزیابی خطر ایمنی پویای حمل و نقل جاده ای مواد شیمیایی خطرناک ارائه
شده است. در نهایت، امکان سنجی مدل
توسط مطالعه موردی حمل و نقل جاده ای گاز طبیعی مایع در یک شرکت واقعی تایید شده
است.
|
|
References
1. LI, J., FENG, Y., YU, Y., YU,
L.a. and WU, J., "Research on the statistics of hazardous chemical
accidents in china during the “twelfth five-year” period and
recommendations", Journal of Wuhan University of Technology
(Information & Management Engineering), Vol. 5, (2016), 6-15.
2. Cao,
H., Li, T., Li, S. and Fan, T., "An integrated emergency response model
for toxic gas release accidents based on cellular automata", Annals
of Operations Research, (2016), 1-22.
3. Wang,
G., Zhao, L., Hao, Y. and Zhu, J., Design of active safety warning system for
hazardous chemical transportation vehicle, in Information technology and
intelligent transportation systems. (2017), Springer.11-21.
4. Jiang,
X., Xu, Z. and Deng, Y., "Development in risk study on hazardous chemical
materials road transportation", Journal of Catastrophology, Vol. 4, (2006), 19-28. 5. Mahmoudabadi,
A., "Developing a chaotic pattern of dynamic risk definition for solving
hazardous material routing-locating problem", Journal of Loss Prevention in the
Process Industries, Vol. 37,
(2015), 1-10.
6. Ambituuni,
A., Amezaga, J.M. and Werner, D., "Risk assessment of petroleum product
transportation by road: A framework for regulatory improvement", Safety
Science, Vol. 79, (2015),
324-335.
7. Babrauskas,
V., "Explosions of ammonium nitrate fertilizer in storage or
transportation are preventable accidents", Journal of Hazardous Materials, Vol. 304, (2016), 134-149.
8. Fabiano,
B., Currò, F., Reverberi, A.P. and Pastorino, R., "Dangerous good
transportation by road: From risk analysis to emergency planning", Journal
of Loss Prevention in the Process Industries, Vol. 18, No. 4, (2005), 403-413.
9. Berman,
O., Verter, V. and Kara, B.Y., "Designing emergency response networks for
hazardous materials transportation", Computers & Operations Research, Vol. 34, No. 5, (2007), 1374-1388.
10. Tena-Chollet, F., Tixier, J., Dusserre, G.
and Mangin, J.-F., "Development of a spatial risk assessment tool for the
transportation of hydrocarbons: Methodology and implementation in a
geographical information system", Environmental Modelling & Software, Vol. 46, (2013), 61-74.
11. Saat, M.R., Werth, C.J., Schaeffer, D.,
Yoon, H. and Barkan, C.P., "Environmental risk analysis of hazardous
material rail transportation", Journal of Hazardous Materials, Vol. 264, (2014), 560-569.
12. Liu, X., Saat, M.R. and Barkan, C.P.,
"Integrated risk reduction framework to improve railway hazardous
materials transportation safety", Journal of Hazardous Materials, Vol. 260, (2013), 131-140.
13. Zegordi, S., Nik, E.R. and Nazari, A.,
"Power plant project risk assessment using a fuzzy-anp and fuzzy-topsis
method", International Journal of Engineering-Transactions B: Applications, Vol. 25, No. 2, (2012), 107-116.
14. Khezri, R., Hosseini, R. and Mazinani, M.,
"A fuzzy rule-based expert system for the prognosis of the risk of
development of the breast cancer", International Journal of Engineering
Transactions A: Basics, Vol. 27,
No. 10, (2014), 1557-1564.
15. Mousavi, S., Makoui, A., Raissi, S. and
Mojtahedi, S., "A multi-criteria decision-making approach with interval
numbers for evaluating project risk responses", International Journal of
Engineering-Transactions B: Applications, Vol. 25, No. 2, (2012), 121-130.
|
|
|
|
|