Abstract
Reliable information is the foundation stone of good IAM. Data Systems are required to facilitate the storage, query, report, and output of infrastructure assets’ characteristics through standardized codes. Coded data from sufficient information is needed to characterize the assets and to encapsulate external aspects that affect their performance—including the asset condition decay—introduce the risk of failure, or affect the asset’s ability to effectively handle the demand or service for which it is intended. Good database management systems are fundamental to handling asset information given the large number of assets found under each infrastructure system and the multiple dimensions of attributes associated. This chapter provides a review of asset information, asset inventories, and data collection techniques.
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References
Amador-Jiménez, L., & Matout, N. (2014). A low cost solution to assess road’s roughness surface condition for Pavement Management, TRB 93rd Annual Meeting, 2014-1-12 to 2014-1-16, Washington, DC United States (No. 14-3086).
American Public Transportation Association (APTA). (2013). Capital asset inventory and condition assessment. APTA SGR-TAM-RP00x-13. NW, Washington, DC, 20006-1215. https://www.apta.com/ (Nov 1, 2021).
American Society of Civil Engineers (ASCE). (2000). Guideline for condition assessment of the building envelope.
American Society of Civil Engineers (ASCE). (2017). 2017 report card for America’s infrastructure, Retrieved on Sep.1, 2016 from http://www.infrastructurereportcard.org, (1 October 2018).
ASTM D6433-20. (2020). Standard practice for roads and parking lots pavement condition index surveys. ASTM International, www.astm.org
ASTM E1364-95. (2017). Standard test method for measuring road roughness by static level method. ASTM International, www.astm.org
ASTM E1926-08. (2015). Standard practice for computing international roughness index of roads from longitudinal profile measurements. ASTM International. www.astm.org
ASTM E2018-15. (2015). Standard guide for property condition assessments: Baseline property condition assessment process. ASTM International, www.astm.org
ASTM WBFS. (2000). ASTM standards on whole building functionality and serviceability (WBFS). ASTM.
Balzer, G., & Schorn, C. (2015). Asset management for infrastructure systems: Energy and water. Springer.
Birolini, A. (2013). Reliability engineering: Theory and practice. Springer Science & Business Media.
Cafiso, S., Di Graziano, A., Goulias, D. G., & D’Agostino, C. (2019). Distress and profile data analysis for condition assessment in pavement management systems. International Journal of Pavement Research and Technology, 12(5), 527–536.
Canadian infrastructure report card (CIRC). (2016). Canadian infrastructure report card, Retrieved on Jan. 10, 2019 from http://www.canadainfrastructure.ca., (1 October 2018).
Chase, S.B., Adu-Gyamfi, Y., Aktan, A.E., and Minaie, E (2016). Synthesis of national and international methodologies used for bridge health indices. Federal Highway Administration https://www.fhwa.dot.gov/publications/research/infrastructure/structures/bridge/15081/15081.pdf
Chen, D., Hildreth, J., & Mastin, N. (2019). Determination of IRI limits and thresholds for flexible pavements. Journal of Transportation Engineering, Part B: Pavements, 145(2), 04019013.
Ciszewski, M., Giergiel, M., Buratowski, T., & Małka, P. (2020). Prototype of the pipe inspection robot. In Modeling and control of a tracked mobile robot for pipeline inspection. Mechanisms and machine science, vol 82. Springer. https://doi-org.lib-ezproxy.concordia.ca/10.1007/978-3-030-42715-3_7
Dhillon, B. S. (2004). Reliability, quality, and safety for engineers. CRC Press.
ERDC’s Construction Engineering Research Laboratory (CERL) (ERDC- CERL). (2012). BUILDER™ sustainment management system. https://www.erdc.usace.army.mil/Media/Fact-Sheets/Fact-Sheet-Article-View/Article/476728/builder-sustainment-management-system/, (1 October 2018).
Federal Highway Administration (FWHA). (1995). Recording and coding guide for the structure inventory and appraisal of the Nation’s bridges. U.S. Dept. of Transportation.
Fiix. (2020). Fiix software. https://www.fiixsoftware.com/ (Nov 1, 2021).
FPrmeC Solutions. (2019). Structural health monitoring for bridge structures. https://www.fprimec.com/structural-health-monitoring-for-bridge-structures/
Galasiu, A., Thompson, A., & Bergevin, P. (2019). Literature review: Assessing building functional suitability—methods and tools. National Research Council (NRC).
Ghodoosi, F., Bagchi, A., & Zayed, T. (2016). Reliability-based condition assessment of an externally restrained bridge deck system considering uncertainties in key design parameters. Journal of Performance of Constructed Facilities, 30(1), 04014189.
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications: A state-of-the-art survey. Springer-Verlag.
ISO. (2014). 55000 2014. Asset management. Overview, principles and terminology. International Organization for Standardization.
ISO 11863. (2011). Buildings and building-related facilities - Functional and user requirements and performance - Tools for assessment and comparison,
ISO 15686. (2010). Buildings and constructed assets — service life planning, Part 10, When to assess functional performance.
ISO 2631-4. (2001). Mechanical vibration and shock — Evaluation of human exposure to whole-body vibration — Part 4: Guidelines for the evaluation of the effects of vibration and rotational motion on passenger and crew comfort in fixed-guideway transport systems. The Organization.
Jones, M., Williams, W., & Stillman, J. (2014). The evolution of asset management in the water industry. Journal-American Water Works Association, 106(8), 140–148.
Kaddoura, K. (2015). Automated sewer inspection analysis and condition assessment, (M.A. Sc. Thesis), Concordia University. https://spectrum.library.concordia.ca/980826/1/Kaddoura_MASc_S2016.pdf
Kaddoura, K., Zayed, T., & Hawari, A. H. (2018). Multiattribute utility theory deployment in sewer defects assessment. Journal of Computing in Civil Engineering, 32(2), 04017074.
Karam, M. (2016). Putting the customer at the heart of asset management, an interview with Kevin Young, Managing Director of Australia’s Sydney Water Infrastructure Morality, insight magazine, Issue No. 8, KPMG, https://home.kpmg/xx/en/home/insights/2016/09/insight-magazine-past-editions.html. (1 October 2018).
Mohammadi, A., Amador-Jimenez, L., & Nasiri, F. (2018). Review of asset management for metro systems: Challenges and opportunities. Transport Reviews, 1–18.
Mohammadi, A., Amador-Jimenez, L., & Nasiri, F. (2020). A multi-criteria assessment of the passengers’ level of comfort in urban railway rolling stock. Sustainable Cities and Society, 53, 101892.
Moradi, S., Zayed, T., Nasiri, F., & Golkhoo, F. (2020). Automated anomaly detection and localization in sewer inspection videos using proportional data modeling and deep learning–based text recognition. Journal of Infrastructure Systems, 26(3), 4020018.
Ontario Ministry of Transportation. (2013). Pavement design and rehabilitation manual, second edition, www.bv.transports.gouv.qc.ca/mono/1165561.pdf. (1 October 2018).
OtalPave. (2020). Smartphone app, TotalPave, https://totalpave.com/. (1 October 2018).
Phares, B. M., Washer, G. A., Rolander, D. D., Graybeal, B. A., & Moore, M. (2004). Routine highway bridge inspection condition documentation accuracy and reliability. Journal of Bridge Engineering, 9(4), 403–413.
Ryan, T. W., Mann, E., Chill, M., & Ott, T. (2012). Bridge inspector’s reference manual: BIRM. U.S. Dept. of Transportation, Federal Highway Administration. FHWA NHI 12-050, https://www.fhwa.dot.gov/bridge/nbis.cfm
Saaty, T. L. (1980). The analytic hierarchy process. McGraw Hill.
Saaty, T. L. (2001). Decision making with dependence and feedback: The analytic network process: The organization and prioritization of complexity. RWS Publications.
Sayers, M. W., Gillespie, T. D., & Paterson, W. D. (1986). Guidelines for the conduct and calibration of road roughness measurements, World Bank Technical Paper No. 46. The World Bank.
Shahsavari, V., Mehrkash, M., & Santini-Bell, E. (2020). Damage detection and decreased load-carrying capacity assessment of a vertical-lift steel truss bridge. Journal of Performance of Constructed Facilities, 34(2), 04019123.
Su, Y. S., & Twu, S. H. (2020). A Real Time Fall Detection System Using Tri-Axial Accelerometer and Clinometer Based on Smart Phones. In K. P. Lin, R. Magjarevic, & P. de Carvalho (Eds.), Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices. ICBHI 2019. IFMBE Proceedings, vol 74. Springer. https://doi.org/10.1007/978-3-030-30636-6_19
SUEZ . (2021). SUEZ in North America. https://www.suez-na.com/. (Nov 1, 2021).
Tan S. (2015). Getting to know IRI and PCI: Their applications for local agencies, 2015 NWPMA Conference, October 20-23. http://nwpma-online.com/presentations/2015/iri-pci-tan.pdf. (1 October 2018).
Variableinc (2017). Retrieved on Dec 20, 2017 from http://www.variableinc.com/node1. (1 October 2018).
Zanini, M. A., Faleschini, F., & Casas, J. R. (2019). State-of-research on performance indicators for bridge quality control and management. Frontiers in Built Environment, 5, 22.
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Mohammadi, A., Amador Jimenez, L. (2022). Asset Information. In: Asset Management Decision-Making For Infrastructure Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-97614-9_2
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DOI: https://doi.org/10.1007/978-3-030-97614-9_2
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