Technical Papers
Jun 26, 2024

A Comparative Analysis of Time- and Condition-Based Approaches for Imperfect Maintenance of Natural Stone Claddings

Publication: Journal of Performance of Constructed Facilities
Volume 38, Issue 5

Abstract

This study discusses the advantages and limitations of adopting time-based maintenance (TBM) and condition-based maintenance (CBM) strategies for natural stone claddings. In this study, an imperfect model for the system under stochastic deterioration is adopted, considering historical data about the degradation patterns of 203 natural stone claddings. This study introduces a probabilistic maintenance optimization method and a life cycle cost analysis framework to determine the optimal strategies for CBM and TBM strategies. The advantages of CBM over TBM are highlighted. CBM demonstrates the potential to achieve higher reliability levels while minimizing maintenance costs compared to TBM. CBM allows a more controlled and planned approach to maintenance, where interventions are strategically carried out based on the specific needs and condition of natural stone claddings. An optimized TBM policy is proposed, which offers a practical and reliable solution for managing the natural stone claddings. It strikes a balance between maintenance requirements, costs, and performance, ensuring the durability and performance of the claddings while minimizing unnecessary interventions.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This work is part of the research activity carried out at Civil Engineering Research and Innovation for Sustainability (CERIS) and has been funded by Fundação para a Ciência e a Tecnologia (FCT) in the framework of project UIDB/04625/2020. Ana Silva acknowledges FCT for the funding of the individual project CEECIND/01337/2017.

References

Abate, D., M. Towers, R. Dotz, and L. Romani. 2009. The Whitestone facility maintenance and repair cost reference. 14th ed. Santa Barbara, CA: Whitestone Research.
Ahmad, R., and S. Kamaruddin. 2012. “A review of condition-based maintenance decision-making.” Eur. J. Ind. Eng. 6 (5): 519–541. https://doi.org/10.1504/EJIE.2012.048854.
Ayo-Imoru, R. M., and A. C. Cilliers. 2018. “A survey of the state of condition-based maintenance (CBM) in the nuclear power industry.” Ann. Nucl. Energy 112 (Feb): 177–188. https://doi.org/10.1016/j.anucene.2017.10.010.
Bateman, J. 1995. “Preventive maintenance: Standalone manufacturing compared with cellular manufacturing.” Ind. Manage. 37 (1): 19–21.
Ben-Daya, M., and A. S. Alghamdi. 2000. “On an imperfect preventive maintenance model.” Int. J. Qual. Reliability Manage. 17 (6): 661–670. https://doi.org/10.1108/02656710010317065/full/html.
Bérenguer, C., A. Grall, L. Dieulle, and M. Roussignol. 2003. “Maintenance policy for a continuously monitored deteriorating system.” Probab. Eng. Inf. Sci. 17 (2): 235–250. https://doi.org/10.1017/S0269964803172063.
BSI (British Standards Institute). 2015. Guide to durability of buildings and building elements, products and components. BS 7543. London: BSI.
BSI (British Standards Institute). 2020. Facilities maintenance management code of practice. BS 8210. London: BSI.
Bureu Veritas. 1993. Gestion Technique du Patrimoine Réhabilitation et Maintenance, Guide Veritas du Bâtiment. 3rd ed. Paris: Editions du Le Moniteur.
Carvalho, T. P., F. A. Soares, R. Vita, R. D. P. Francisco, J. P. Basto, and S. G. Alcalá. 2019. “A systematic literature review of machine learning methods applied to predictive maintenance.” Comput. Ind. Eng. 137 (Nov): 106024. https://doi.org/10.1016/j.cie.2019.106024.
CEN (European Committee for Standardization). 2009. Grout for tiles. Requirements, evaluation of conformity, classification and designation. EN-13888. Brussels, Belgium: CEN.
CEN (European Committee for Standardization). 2015. Natural stone products. Slabs for cladding; requirements. EN-1469. Brussels, Belgium: CEN.
CEN (European Committee for Standardization). 2017. Adhesives for ceramic tiles; Part 1: Requirements, assessment and verification of constancy of performance, classification and marking. EN-12004-1. Brussels, Belgium: CEN.
Chen, N., Z.-S. Ye, Y. Xiang, and L. Zhang. 2015. “Condition-based maintenance using the inverse Gaussian degradation model.” Eur. J. Oper. Res. 243 (1): 190–199. https://doi.org/10.1016/j.ejor.2014.11.029.
Cheng, J. C. P., W. Chen, K. Chen, and Q. Wang. 2020. “Data-driven predictive maintenance planning framework for MEP components based on BIM and IoT using machine learning algorithms.” Autom. Constr. 112 (Apr): 103087. https://doi.org/10.1016/j.autcon.2020.103087.
Crowder, M., and J. Lawless. 2007. “On a scheme for predictive maintenance.” Eur. J. Oper. Res. 176 (3): 1713–1722. https://doi.org/10.1016/j.ejor.2005.10.051.
CYPE Price Generator. 2022. “Prices generator for construction.” Accessed February 12, 2022. http://www.geradordeprecos.info/.
Do, P., A. Voisin, E. Levrat, and B. Iung. 2015. “A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions.” Reliab. Eng. Syst. Saf. 133 (Jan): 22–32. https://doi.org/10.1016/j.ress.2014.08.011.
Ferreira, C., A. Silva, J. de Brito, I. S. Dias, and I. Flores-Colen. 2020. “Definition of a condition-based model for natural stone claddings.” J. Build. Eng. 33 (Jan): 101643. https://doi.org/10.1016/j.jobe.2020.101643.
Ferreira, C., A. Silva, J. de Brito, I. S. Dias, and I. Flores-Colen. 2021. “The impact of imperfect maintenance actions on the degradation of buildings’ envelope components.” J. Build. Eng. 33 (Jan): 101571. https://doi.org/10.1016/j.jobe.2020.101571.
Ferreira, C., A. Silva, J. de Brito, and I. Flores-Colen. 2022. Maintainability of building envelope elements: Optimizing predictive condition-based maintenance decisions. 1st ed. Cham, Switzerland: Springer.
Flores-Colen, I., and J. de Brito. 2010. “A systematic approach for maintenance budgeting of buildings façades based on predictive and preventive strategies.” Constr. Build. Mater. 24 (9): 1718–1729. https://doi.org/10.1016/j.conbuildmat.2010.02.017.
Frangopol, D. M., and M. Liu. 2007. “Bridge network maintenance optimization using stochastic dynamic programming.” J. Struct. Eng. 133 (12): 1772–1782. https://doi.org/10.1061/(ASCE)0733-9445(2007)133:12(1772).
Gits, C. 1991. “Design of maintenance concepts.” Int. J. Prod. Econ. 24 (3): 217–226. https://doi.org/10.1016/0925-5273(92)90133-R.
Guillén, J., A. Crespo, M. Macchi, and J. Gómez. 2016. “On the role of prognostics and health management in advanced maintenance systems.” Product. Plann. Control 27 (12): 991–1004. https://doi.org/10.1080/09537287.2016.1171920.
Hallberg D. 2009. “System for predictive life cycle management of buildings and infrastructures.” Ph.D. thesis, KTH, Research School, HIG, Centre for Built Environment, Univ. of Gävle.
ISO. 2011. Buildings and constructed assets—service life planning—Part 1: general principles and framework. ISO 15686-1. Geneva: ISO.
Jardine, A. K., D. Lin, and D. Banjevic. 2006. “A review on machinery diagnostics and prognostics implementing condition-based maintenance.” Mech. Syst. Signal Process. 20 (7): 1483–1510. https://doi.org/10.1016/j.ymssp.2005.09.012.
Jiang, R. 2013. “A multivariate CBM model with a random and time-dependent failure threshold.” Reliab. Eng. Syst. Saf. 119 (Nov): 178–185. https://doi.org/10.1016/j.ress.2013.05.023.
Jonge, B., R. Teunter, and T. Tinga. 2017. “The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance.” Reliab. Eng. Syst. Saf. 158 (Feb): 21–30. https://doi.org/10.1016/j.ress.2016.10.002.
Jun, H. B., and D. Kim. 2017. “A Bayesian network-based approach for fault analysis.” Expert Syst. Appl. 81 (Sep): 332–348. https://doi.org/10.1016/j.eswa.2017.03.056.
Kallen, M. J., and J. M. van Noortwijk. 2005. “Optimal maintenance decisions under imperfect inspection.” Reliab. Eng. Syst. Saf. 90 (2–3): 177–185. https://doi.org/10.1016/j.ress.2004.10.004.
Kim, J., Y. Ahn, and H. Yeo. 2016. “A comparative study of time-based maintenance and condition-based maintenance for optimal choice of maintenance policy.” Struct. Infrastruct. Eng. 12 (12): 1525–1536. https://doi.org/10.1080/15732479.2016.1149871.
Liu, M., and D. M. Frangopol. 2005. “Multiobjective maintenance planning optimization for deteriorating bridges considering condition, safety, and life-cycle cost.” J. Struct. Eng. 131 (5): 833–842. https://doi.org/10.1061/(ASCE)0733-9445(2005)131:5(833).
Liu, M., and D. M. Frangopol. 2006. Dynamic programming for optimal bridge maintenance planning. Boca Raton, FL: CRC Press.
Martínez-Rocamora, A., J. Solís-Guzmán, and M. Marrero. 2017. “Ecological footprint of the use and maintenance phase of buildings: Maintenance tasks and final results.” Energy Build. 155 (Nov): 339–351. https://doi.org/10.1016/j.enbuild.2017.09.038.
Mobley, R. K. 2002. An introduction to predictive maintenance. 2nd ed. New York: Butterworth-Heinemann Publishers.
Mousavi, S. H., A. Silva, J. de Brito, A. Ekhlassi, and S. B. Hosseini. 2017. “Service life prediction of natural stone claddings with an indirect fastening system.” J. Perform. Constr. Facil. 31 (4): 04017014. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001007.
Neto, N., and J. de Brito. 2011. “Inspection and defect diagnosis system for natural stone cladding.” J. Mater. Civ. Eng. 23 (10): 1433–1443. https://doi.org/10.1061/(ASCE)MT.1943-5533.0000314.
Neto, N., and J. de Brito. 2012. “Validation of an inspection and diagnosis system for anomalies in natural stone cladding (NSC).” Constr. Build. Mater. 30 (May): 224–236. https://doi.org/10.1016/j.conbuildmat.2011.12.032.
Neves, L. A. C., D. M. Frangopol, and A. Petcherdchoo. 2006. “Probabilistic lifetime-oriented multiobjective optimization of bridge maintenance: Combination of maintenance types.” J. Struct. Eng. 132 (11): 1821–1834. https://doi.org/10.1061/(ASCE)0733-9445(2006)132:11(1821).
Niu, G., B. S. Yang, and M. Pecht. 2010. “Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance.” Reliab. Eng. Syst. Saf. 95 (7): 786–796. https://doi.org/10.1016/j.ress.2010.02.016.
Pandey, M. D., X.-X. Yuan, and J. M. van Noortwijk. 2009. “The influence of temporal uncertainty of deterioration on life-cycle management of structures.” Struct. Infrastruct. Eng. 5 (2): 145–156. https://doi.org/10.1080/15732470601012154.
Paz, N., and W. Leigh. 1994. “Maintenance scheduling: Issues results and research needs.” Int. J. Oper. Product. Manage. 14 (8): 47–69. https://doi.org/10.1108/01443579410067135.
Peng, Y., M. Dong, and M. J. Zuo. 2010. “Current status of machine prognostics in condition-based maintenance: A review.” Int. J. Adv. Manuf. Technol. 50 (1–4): 297–313. https://doi.org/10.1007/s00170-009-2482-0.
Prajapati, A., J. Bechtel, and S. Ganesan. 2012. “Condition based maintenance: A survey.” J. Qual. Maint. Eng. 18 (4): 384–400. https://doi.org/10.1108/13552511211281552.
Si, X. S., W. Wang, C. H. Hu, and D. H. Zhou. 2011. “Remaining useful life estimation—A review on the statistical data driven approaches.” Eur. J. Oper. Res. 213 (1): 1–14. https://doi.org/10.1016/j.ejor.2010.11.018.
Silva, A., and J. de Brito. 2021. “Service life of building envelopes: A critical literature review.” J. Build. Eng. 44 (Dec): 102646. https://doi.org/10.1016/j.jobe.2021.102646.
Silva, A., J. de Brito, and P. Gaspar. 2011. “Service life prediction model applied to natural stone wall claddings (directly adhered to the substrate).” Constr. Build. Mater. 25 (9): 3674–3684. https://doi.org/10.1016/j.conbuildmat.2011.03.064.
Silva, A., J. de Brito, and P. Gaspar. 2016. Methodologies for service life prediction of buildings: With a focus on façade claddings. 1st ed. Cham, Switzerland: Springer International Publishing.
Susto, G. A., A. Schirru, S. Pampuri, S. McLoone, and A. Beghi. 2015. “Machine learning for predictive maintenance: A multiple classifier approach.” IEEE Trans. Ind. Inf. 11 (3): 812–820. https://doi.org/10.1109/TII.2014.2349359.
Swanson, L. 2001. “Linking maintenance strategies to performance.” Int. J. Prod. Econ. 70 (3): 237–244. https://doi.org/10.1016/S0925-5273(00)00067-0.
Teixeira, H., I. Lopes, and A. C. Braga. 2020. “Condition-based maintenance implementation: A literature review.” Procedia Manuf. 51 (Jan): 228–235. https://doi.org/10.1016/j.promfg.2020.10.033.
Xiang, J., C. R. Cassady, and E. A. Pohl. 2012. “Optimal maintenance policies for systems subject to a Markovian operating environment.” Comput. Ind. Eng. 62 (1): 190–197. https://doi.org/10.1016/j.cie.2011.09.006.
Younga, M. E., D. C. M. Urquhartb, and R. A. Lainga. 2003. “Maintenance and repair issues for stone cleaned sandstone and granite building facades.” Build. Environ. 38 (9–10): 1125–1131.
Zhang, X., J. Kang, and T. Jin. 2014. “Degradation modeling and maintenance decisions based on Bayesian belief networks.” IEEE Trans. Reliab. 63 (2): 620–633. https://doi.org/10.1109/TR.2014.2315956.
Zio, E. 2013. “Compare M. Evaluating maintenance policies by quantitative modeling and analysis.” Reliab. Eng. Syst. Saf. 109 (Jan): 53–65. https://doi.org/10.1016/j.ress.2012.08.002.

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Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 38Issue 5October 2024

History

Received: Dec 21, 2023
Accepted: Apr 1, 2024
Published online: Jun 26, 2024
Published in print: Oct 1, 2024
Discussion open until: Nov 26, 2024

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Instituto Superior Técnico–Univ. of Lisbon, Av. Rovisco Pais, Lisbon 1049-001, Portugal. Email: [email protected]
Full Professor and Researcher at ICIST-Civil Engineering Research and Innovation for Sustainability (CERIS), Dept. of Civil Engineering, Architecture and Georresources, Instituto Superior Técnico–Univ. of Lisbon, Av. Rovisco Pais, Lisbon 1049-001, Portugal. ORCID: https://orcid.org/0000-0003-4038-6748. Email: [email protected]
Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior Técnico–Univ. of Lisbon, Av. Rovisco Pais, Lisbon 1049-001, Portugal. ORCID: https://orcid.org/0000-0002-0513-0723. Email: [email protected]
Postdoctoral Researcher, Dept. of Engineering Civil Engineering, Architecture and Environment, Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior Técnico–Univ. of Lisbon, Av. Rovisco Pais, Lisbon 1049-001, Portugal (corresponding author). ORCID: https://orcid.org/0000-0001-6715-474X. Email: [email protected]

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