Share:


State-oriented maintenance strategy for deteriorating segmental lining of tunnel

    Qing Ai Affiliation
    ; Yong Yuan Affiliation

Abstract

The lining of tunnel is the principal part in ensuring its usage for transportation or utilities. Maintenance during operation is the way to keep structure in the state of high performance. To consider the efficiency of maintenance within limited resources (maintenance cost), state-oriented maintenance (SOM) approach is proposed. The SOM approach takes service state of the tunnel lining as a levelled target which should be maintained by different degrees of repairing measures. The evolution of service state of tunnel lining is modelled as a non-stationary Gamma process in this investigation, as this process can characteristic the variations of degradation rates. Two cases of numerical analysis with SOM approach give their lifetime maintenance costs. Case one (MS-1) sets SOM strategy with two-levelled service state. The other case (MS-2) adopts SOM strategy with multi-levelled service state. The numerical results demonstrate that the later one would reduce maintenance cost during the whole service life of tunnel lining.

Keyword : tunnel, maintenance, structure, service state, state-oriented maintenance

How to Cite
Ai, Q., & Yuan, Y. (2018). State-oriented maintenance strategy for deteriorating segmental lining of tunnel. Journal of Civil Engineering and Management, 24(6), 469-480. https://doi.org/10.3846/jcem.2018.5595
Published in Issue
Oct 10, 2018
Abstract Views
0
PDF Downloads
0
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Ai, Q.; Yuan, Y.; Mahadevan, S.; Jiang, X. 2016. Probabilistic degradation modelling of circular tunnels assembled from segmental linings, Structural Concrete 17(2): 257–273. https://doi.org/10.1002/suco.201400122

Baji, H.; Li, C.; Scicluna, S.; Dauth, J. 2017. Risk-cost optimised maintenance strategy for tunnel structures, Tunnelling and Underground Space Technology 69: 72–84. https://doi.org/10.1016/j.tust.2017.06.008

Barker, C. T.; Newby, M. J. 2009. Optimal non-periodic inspection for a multivariate degradation model, Reliability Engineering & System Safety 94(1): 33–43. https://doi.org/10.1016/j.ress.2007.03.015

Castanier, B.; Grall, A.; Bérenguer, C. 2005. A condition-based maintenance policy with non-periodic inspections for a two-unit series system, Reliability Engineering & System Safety 87(1): 109–120. https://doi.org/10.1016/j.ress.2004.04.013

Chen, C. J.; Juan, Y. K.; Hsu, Y. H. 2017. Developing a systematic approach to evaluate and predict building service life, Journal of Civil Engineering and Management 23(7): 890–901. https://doi.org/10.3846/13923730.2017.1341956

Do, P.; Voisin, A.; Levrat, E.; Iung, B. 2015. A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions, Reliability Engineering & System Safety 133: 22–32. https://doi.org/10.1016/j.ress.2014.08.011

Farran, M.; Zayed, T. 2015. Fitness-oriented multi-objective optimisation for infrastructures rehabilitations, Structure and Infrastructure Engineering 11(6): 761–775. https://doi.org/10.1080/15732479.2014.905964

GB50153-2008 Unified standard for reliability design of engineering structures. Beijing: China Architecture and Building Press, 2008 (in Chinese).

Grall, A.; Bérenguer, C.; Dieulle, L. 2002. A condition-based maintenance policy for stochastically deteriorating systems, Reliability Engineering & System Safety 76(2): 167–180. https://doi.org/10.1016/S0951-8320(01)00148-X

Jardine, A. K.; Lin, D.; Banjevic, D. 2006. A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mechanical Systems and Signal Processing 20(7): 1483–1510. https://doi.org/10.1016/j.ymssp.2005.09.012

Jin, Y-F.; Yin, Z-Y.; Shen, S-L.; Hicher, P-Y. 2016. Selection of sand models and identification of parameters using an enhanced genetic algorithm, International Journal for Numerical and Analytical Methods in Geomechanics 40(8): 1219-1240. https://doi.org/10.1002/nag.2487

Jin, Y.-F.; Yin, Z.-Y.; Shen, S.-L.; Zhang, D.-M. 2017. A new hybrid real-coded genetic algorithm and its application to parameters identification of soils, Inverse Problems in Science and Engineering 25(9): 1343–1366. https://doi.org/10.1080/17415977.2016.1259315

JTG H12-2015 Highway tunnel maintenance technical specifications. Beijing: People’s Communication Publishing House Co., Ltd., 2015 (in Chinese).

Kavussi, A.; Abbasghorbani, M.; Moghadas Nejad, F.; Bamdad Ziksari, A. 2017. A new method to determine maintenance and repair activities at network-level pavement management using falling weight deflectometer, Journal of Civil Engineering and Management 23(3): 338–346. https://doi.org/10.3846/13923730.2015.1073173

Li, X.; Lin, X.; Zhu, H.; Wang, X.; Liu, Z. 2017. Condition assessment of shield tunnel using a new indicator: The tunnel serviceability index, Tunnelling and Underground Space Technology 67: 98–106. https://doi.org/10.1016/j.tust.2017.05.007

Liu, H.; Madanat, S. 2015. Adaptive optimisation methods in system-level bridge management, Structure and Infrastructure Engineering 11(7): 884–896. https://doi.org/10.1080/15732479.2014.920038

Lyu, H. M.; Shen, J. S.; Arulrajah, A. 2018. Assessment of geohazards and preventative countermeasures using AHP incorporated with GIS in Lanzhou, China, Sustainability 10(2): 304. https://doi.org/10.3390/su10020304

Marzouk, M.; Omar, M. 2013. Multiobjective optimisation algorithm for sewer network rehabilitation, Structure and Infrastructure Engineering 9(11): 1094–1102. https://doi.org/10.1080/15732479.2012.666254

Neves, M. L.; Santiago, L. P.; Maia, C. A. 2011. A condition-based maintenance policy and input parameters estimation for deteriorating systems under periodic inspection, Computers & Industrial Engineering 61(3): 503–511. https://doi.org/10.1016/j.cie.2011.04.005

Nicolai, R. P.; Dekker, R.; Van Noortwijk, J. M. 2007. A comparison of models for measurable deterioration: An application to coatings on steel structures, Reliability Engineering & System Safety 92(12): 1635–1650. https://doi.org/10.1016/j.ress.2006.09.021

Nicolai, R. P.; Frenk, J. B. G.; Dekker, R. 2009. Modelling and optimizing imperfect maintenance of coatings on steel structures, Structural Safety 31(3): 234–244. https://doi.org/10.1016/j.strusafe.2008.06.015

Ponchet, A.; Fouladirad, M.; Grall, A. 2012. Imperfect condition-based maintenance assessment on a finite time span, in 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012, 390–395. https://doi.org/10.1109/ICQR2MSE.2012.6246260

Strauss, A.; Wan-Wendner, R.; Vidovic, A.; Zambon, I.; Yu, Q.; Frangopol, D. M.; Bergmeister, K. 2017. Gamma prediction models for long-term creep deformations of prestressed concrete bridges, Journal of Civil Engineering and Management 23(6): 681–698. https://doi.org/10.3846/13923730.2017.1335652

Van Noortwijk, J. M. 2009. A survey of the application of gamma processes in maintenance, Reliability Engineering & System Safety 94(1): 2–21. https://doi.org/10.1016/j.ress.2007.03.019

Van, P. D.; Bérenguer, C. 2012. Condition-based maintenance with imperfect preventive repairs for a deteriorating production system, Quality and Reliability Engineering International 28(6): 624–633. https://doi.org/10.1002/qre.1431

Wang, J.; Koizumi, A.; Tanaka, H. 2017. Framework for maintenance management of shield tunnel using structural performance and life cycle cost as indicators, Structure and Infrastructure Engineering 13(1): 44–54. https://doi.org/10.1080/15732479.2016.1198406

Ye, Y. D. 2007. Research on deformation and method of health diagnose of operational subway structures in soft soil: Doctoral Thesis. Shanghai: Tongji University.

Yin, Z. Y.; Jin, Y. F.; Shen, J. S.; Hicher, P. Y. 2018. Optimization techniques for identifying soil parameters in geotechnical engineering: Comparative study and enhancement, International Journal for Numerical and Analytical Methods in Geomechanics 42: 70–94. https://doi.org/10.1002/nag.2714

Yuan, Y.; Bai, Y.; Liu, J. 2012. Assessment service state of tunnel structure, Tunnelling and Underground Space Technology 27(1): 72–85. https://doi.org/10.1016/j.tust.2011.07.002

Zambon, I.; Vidovic, A.; Strauss, A.; Matos, J.; Amado, J. 2017. Comparison of stochastic prediction models based on visual inspections of bridge decks, Journal of Civil Engineering and Management 23(5): 553–561. https://doi.org/10.3846/13923730.2017.1323795

Zhang, W.; Sun, K.; Lei, C.; Zhang, Y.; Li, H.; Spencer, B. F. 2014. Fuzzy analytic hierarchy process synthetic evaluation models for the health monitoring of shield tunnels, Computer-Aided Civil and Infrastructure Engineering 29(9): 676–688. https://doi.org/10.1111/mice.12091

Zhu, Q.; Peng, H.; van Houtum, G. J. 2015. A condition-based maintenance policy for multi-component systems with a high maintenance setup cost, OR Spectrum 37(4): 1007–1035. https://doi.org/10.1007/s00291-015-0405-z