Quantitative risk analysis for road tunnels complying with EU regulations

被引:16
|
作者
Kirytopoulos, Konstantinos A. [1 ]
Rentizelas, Athanasios A. [2 ]
Tatsiopoulos, Ilias P. [2 ]
Papadopoulos, George [2 ]
机构
[1] Univ Aegean, Financial & Management Engn Dept, Chios, Greece
[2] Natl Tech Univ Athens, Sch Mech Engn, Athens, Greece
关键词
road tunnel; risk analysis; quantitative analysis; safety; ALARP; dangerous goods;
D O I
10.1080/13669877.2010.494331
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Tunnels have improved the connection of regions within the European Commission (EC) and have been used lately as a catalyst for economic development of previously isolated regions. However, the increasing number of these important infrastructures is raising upfront an endogenous problem, which is the severity of accidents that may occur. These risks have much greater impact when heavy goods vehicles (HGVs) or dangerous goods (DGs) are involved in the accident. As a result, the EC launched the EC Directive 2004/54/EC. In order to achieve a minimum acceptable level of safety, the EC Directive 2004/54/EC suggests, apart from the measures imposed based on tunnel characteristics, the implementation of a risk analysis in cases such as the opening of the road tunnel to DGs. The most widely accepted method for such quantitative risk analysis (QRA) is the OECD/PIARC QRA Model. This research exploits the QRA Model to perform a QRA for five illustrative cases in order to explore the sufficiency of the minimum tunnel safety measures imposed by the Directive when transportation of HGVs and DGs is allowed through the tunnel. The research concludes that, at least for tunnels with marginal values of the EC Directive classes for length and traffic, the risk exposure (F/N curves) lays over the acceptable safety limits of ALARP (as low as reasonably practicable) models. Thus, the manager of the tunnel should take seriously into account the provision of the Directive for further risk analysis and consider more safety measures as well as take into account the risk associated with the alternative routes.
引用
收藏
页码:1027 / 1041
页数:15
相关论文
共 50 条
  • [1] The Dutch model for the quantitative risk analysis of road tunnels
    Brussaard, LA
    Kruiskamp, MM
    Essink, MPO
    PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT, VOL 1- 6, 2004, : 2660 - 2665
  • [2] Risk Analysis in Road Tunnels
    Schlosser, Frantisek
    Razga, Martin
    Danisovic, Peter
    XXIII R-S-P SEMINAR, THEORETICAL FOUNDATION OF CIVIL ENGINEERING (23RSP) (TFOCE 2014), 2014, 91 : 469 - 474
  • [3] Risk analysis and optimization of road tunnels
    Holicky, M.
    Risk Analysis V: Simulation and Hazard Mitigation, 2006, 91 : 57 - 66
  • [4] Austrian risk analysis for road tunnels development of a new method for the risk assessment of road tunnels
    Kohl, B.
    Botschek, K.
    Horhan, R.
    UNDERGROUND SPACE - THE 4TH DIMENSION OF METROPOLISES, VOLS 1-3, 2007, : 1835 - +
  • [5] Practical problems for MSW incineration in complying with EU emissions regulations
    Buekens, A
    Rivet, F
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2000, 78 (B1) : 5 - 14
  • [6] Complying with EU packaging regulations using ASTM international standards
    Nolan, Patrick J.
    Standardization News, 2004, 32 (12) : 32 - 35
  • [7] Determination of the traffic safety of road tunnels by quantitative risk analyses
    Mayer, G.
    Hennings, Ch.
    VDI Berichte, 2008, (2019): : 3 - 23
  • [8] Quantitative Risk Assessment Modeling for Nonhomogeneous Urban Road Tunnels
    Meng, Qiang
    Qu, Xiaobo
    Wang, Xinchang
    Yuanita, Vivi
    Wong, Siew Chee
    RISK ANALYSIS, 2011, 31 (03) : 382 - 403
  • [9] Extension of risk analysis model for road tunnels
    Razga, Martin
    Danisovic, Peter
    Polednak, Pavel
    XXIV R-S-P SEMINAR, THEORETICAL FOUNDATION OF CIVIL ENGINEERING (24RSP) (TFOCE 2015), 2015, 111 : 687 - 693
  • [10] Quantitative Risk Assessment Model for Fire in Road Tunnels with Parameter Uncertainty
    Meng, Qiang
    Qu, Xiaobo
    REC 2010: PROCEEDINGS OF THE 4TH INTERNATIONAL WORKSHOP ON RELIABLE ENGINEERING COMPUTING: ROBUST DESIGN - COPING WITH HAZARDS, RISK AND UNCERTAINTY, 2010, : 751 - 764