A methodology for availability assessment of tunnel designs

Purpose – The reliability and maintainability of tunnel infrastructure and systems is an important factor in assuring normal operation of a tunnel. Evaluating availability of a large‐scale tunnel that includes civil, electrical, mechanical and electronic systems is a difficult task. The purpose of this paper is to present a methodology for performing such assessments, featuring the use of the Markov model.Design/methodology/approach – The methodology involves application of failure mode, effect and criticality analysis (FMECA), state space diagram construction, formulation of state space equations, and development of transitional matrices. It also involves transformation of multi‐state models into two‐state models (each comprises of an “up” state and a “down” state) through the use of the frequency and duration method for determining the failure and repair rates, as well as the mean‐time‐between‐failures (MTBF) of the entire tunnel. By using the proposed bottom‐up approach, a MTBF tree linking the availab...

[1]  Martin Shipp Vehicle fires and fire safety in tunnels , 2002 .

[2]  J. F. Kitchin Practical Markov modeling for reliability analysis , 1988, 1988. Proceedings., Annual Reliability and Maintainability Symposium,.

[3]  Aarnout Brombacher,et al.  Application of micro Markov models for quantitative safety assessment to determine safety integrity levels as defined by the IEC 61508 standard for functional safety , 1999 .

[4]  Boudewijn R. Haverkort,et al.  Using the probabilistic evaluation tool for the analytical solution of large Markov models , 1995, Proceedings 6th International Workshop on Petri Nets and Performance Models.

[5]  H. Schneider Failure mode and effect analysis : FMEA from theory to execution , 1996 .

[6]  Ying-Che Chien Some exact and approximate methods for large scale systems steady-state availability analysis. , 1995 .

[7]  M. L. Shooman,et al.  Reliability and availability modeling of coupled communication networks: a simplified modeling approach , 1991, Annual Reliability and Maintainability Symposium. 1991 Proceedings.

[8]  Gregory Levitin,et al.  A new approach to solving problems of multi‐state system reliability optimization , 2001 .

[9]  T. C. Sharma,et al.  Reliability analysis of large system by Markov techniques , 1993, Annual Reliability and Maintainability Symposium 1993 Proceedings.

[10]  William J. Padgett,et al.  Reliability Modeling, A Statistical Approach , 2000 .

[11]  Roy Billinton,et al.  Reliability evaluation of power systems , 1984 .

[12]  Wei Hou,et al.  A simplified availability modeling tool for networks with 1:1 redundant software-hardware systems , 2002, Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318).

[13]  William M. Goble,et al.  Defining mean time-to-failure in a particular failure-state for multi-failure-state systems , 2001, IEEE Trans. Reliab..

[14]  Roy Billinton,et al.  Reliability Assessment of Large Electric Power Systems , 1988 .

[15]  R. Ramakumar Engineering Reliability: Fundamentals and Applications , 1996 .

[16]  Yuan-Shun Dai,et al.  A model for availability analysis of distributed software/hardware systems , 2002, Inf. Softw. Technol..

[17]  Hermann Knoflacher QUANTITATIVE RISK ANALYSIS MODEL , 2001 .

[18]  S. H. Choi,et al.  Computational algorithms for modeling unreliable manufacturing systems based on Markovian property , 2001, Eur. J. Oper. Res..

[19]  Asit P. Basu,et al.  Statistical Methods for the Reliability of Repairable Systems , 2000 .

[20]  M M Kruiskamp,et al.  TUNPRIM: A SPREADSHEET MODEL FOR CALCULATING ROAD TUNNEL RISKS , 2002 .

[21]  A Haack FIRE SAFETY CONCEPTS IN TRAFFIC TUNNELS , 2001 .

[22]  Roy Billinton,et al.  Reliability evaluation of engineering systems : concepts and techniques , 1992 .

[23]  Paul Pukite,et al.  Modeling for reliability analysis - Markov modeling for reliability, maintainability, safety, and supportability analyses of complex systems , 1998 .

[24]  Toby Berger,et al.  Reliability and availability analysis of Manhattan street networks , 1993, IEEE Trans. Commun..

[25]  B Knegtering,et al.  A method to prevent excessive numbers of Markov states in Markov models for quantitative safety and reliability assessment. , 2000, ISA transactions.