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Performance Updating of Concrete Structures Using Proactive Health Monitoring: A Systems Approach

DOI: 10.5402/2012/926412

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Uncertainties in predictive models for concrete structures performance can influence adversely the timing of management activities. A methodology has been developed that uses data obtained through proactive health monitoring to increase the confidence in predicted performance by reducing the associated uncertainties. Due to temporal and spatial variations associated with climatic changes, exposure conditions, workmanship, and concrete quality, the actual performance could vary at different locations of the member. In this respect, the use of multiple sensors may be beneficial, notwithstanding cost and other constraints. Two distinct cases are identified for which an updating methodology based on data from multiple sensors needs to be developed. In the first case the interest lies in improving the performance prediction for an entire member (or a structure) incorporating spatial and temporal effects. For this purpose, the member is divided into small zones with the assumption that a sensor can be located in each zone. In the second case, the objective is to minimise uncertainties in performance prediction, or to increase the redundancy of health monitoring systems, at critical locations. The development of updating methodologies for the above-mentioned scenarios is described in this paper. Its implications on the management activities, for example, establishing the timing of principal inspections, are evaluated and discussed. 1. Introduction In the UK, the Highways Agency is administering over 9,000 trunk road and motorway bridges that are valued at over £20 billion. More than 65% of those are either reinforced or prestressed concrete bridges [1]. These structures represent 2% of the national network length but 30% of its total asset value. The effective maintenance management of these high value assets is of increasing importance and significant research is directed towards this area. In the UK, 50% of the total bridge and large culvert stock were constructed between 1960 and 1980 [2]. In most developed countries with already established, but aging, infrastructure, the investment on maintenance of these structures is either approaching, or has already exceeded, the capital spent for new construction. For example, the UK’s Highways Agency supports a maintenance program of £7 billion from 2001 to 2010 for their administered transport network [3]. Visual inspections are widely used to aid maintenance management of almost all deterioration prone systems. Despite obvious benefits (e.g., simplicity, cost, and access to 100% of the visible surface), they are

References

[1]  B. Mahut and R. J. Woodward, “Comparison of bridge management practice in England and France,” in Bridge Management, G. A. R. Parke and P. Disney, Eds., vol. 5, pp. 163–170, Thomas Telford, London, UK, 2005.
[2]  B. Allison and R. J. Woodward, “Inspection, testing, and monitoring of trunk road bridges in England,” in Bridge Management, G. A. R. Parke and P. Disney, Eds., vol. 5, pp. 171–178, Thomas Telford, London, UK, 2005.
[3]  Highways Agency, “Strategic Roads 2010: highways agency 10 years national road strategy,” Highways Agency, London, UK, 2005, http://www.highways.gov.uk/.
[4]  A. F. Daly and G. R. A. Watts, “High-Tech remote monitoring for the management of highway structures,” Project Report PPR197, TRL Limited, 2006.
[5]  N. R. Buenfeld, R. D. Davies, A. Karami, and A. L. Gilbertson, Eds., “Intelligent monitoring of concrete structures,” Tech. Rep. C661, CIRIA, London, UK, 2008.
[6]  M. I. Rafiq, M. K. Chryssanthopoulos, and T. Onoufriou, “Performance updating of concrete bridges using proactive health monitoring methods,” Reliability Engineering and System Safety, vol. 86, no. 3, pp. 247–256, 2004.
[7]  G. C. M. Gaal, C. V. D. Veen, and M. H. Djorai, “Deterioration of concrete bridge in the Netherlands,” in Structural Faults and Repairs, M. C. Forde, Ed., Engineering Technics Press, Edinburgh, UK, 2001.
[8]  M. Collipardi, A. Marcialis, and R. Turriziani, “The kinetics of penetration of chloride ions in concrete,” II Cemento, vol. 4, pp. 157–164, 1970.
[9]  M. Cesare, J. Santamarina, C. Turkstra, and E. Vanmarcke, “Modelling bridge deterioration with Markov Chains,” Journal of Transportation Engineering, vol. 118, no. 6, pp. 820–833, 1992.
[10]  M. F. Elkordy, K. C. Chang, and G. C. Lee, “Neural networks trained by analytically simulated damage states,” Journal of Computing in Civil Engineering, vol. 7, no. 2, pp. 130–145, 1993.
[11]  D. M. Frangopol, K.-Y. Lin, and A. C. Estes, “Reliability of reinforced concrete girders under corrosion attack,” Journal of Structural Engineering, vol. 123, no. 3, pp. 286–297, 1997.
[12]  S. Chatterji, “Transportation of ions through cement based materials. Part 1 fundamental equations and basic measurement techniques,” Cement and Concrete Research, vol. 24, no. 5, pp. 907–912, 1994.
[13]  C. Q. Li, “Initiation of chloride-induced reinforcement corrosion in concrete structural members—prediction,” ACI Structural Journal, vol. 99, no. 2, pp. 133–141, 2002.
[14]  C. Q. Li, J. J. Zheng, and L. Shao, “New solution for prediction of chloride ingress in reinforced concrete flexural members,” ACI Materials Journal, vol. 100, no. 4, pp. 319–325, 2003.
[15]  HETEK, “Chloride penetration into concrete,” State of the Art report no. 53, The Danish Road Directorate, 1996.
[16]  Duracrete, Modelling of Degradation. Duracrete, Probabilistic Performance Based Durability Design of Concrete Structures, European Union-Brite EuRam III, 1998.
[17]  M. G. Stewart and D. V. Rosowsky, “Time-dependent reliability of deteriorating reinforced concrete bridge decks,” Structural Safety, vol. 20, no. 1, pp. 91–109, 1998.
[18]  M. G. Stewart, M. H. Faber, and C. Gehlen, “Temporal and spatial aspects of probabilistic corrosion models,” in Proceedings of the 3rd International IABMAS Workshop on Life-cYcle Cost Analysis And Design of Civil Infrastructure Systems and The JCSS Workshop on Probabilistic Modelling of Deterioration Processes in Concrete Structures, vol. 2003, pp. 269–278, Lausanne, Switzerland, 2004.
[19]  P. Thoft-Christensen, F. M. Jensen, C. R. Middleton, and A. Blackmore, “Assessment of the reliability of concrete slab bridges,” in Proceedings 7th IFIP WG 7.5 Working Conference, Reliability and Optimization of Structural Systems, D. M. Frangopol, R. B. Corotis, and R. Rackwitz, Eds., pp. 323–328, 1996.
[20]  K. Tuutti, “Corrosion of steel in concrete,” CBI Research Report 4-82, Swedish Cement and Concrete Research Institute, 1982.
[21]  P. Schieβl and M. Raupach, “Non-destructive permanent monitoring of the corrosion risk of steel in concrete,” in Non-Destructive Testing in Civil Engineering, vol. 2, pp. 661–674, British Institute of Non-Destructive Testing, Northampton, UK, 1993.
[22]  M. Raupach, “Smart Structures: development of sensors to monitor the corrosion risk for the reinforcement of concrete bridges,” in Proceedings of the International Conference on Bridge Maintenance, Safety and Management (IABMAS '02), J. R. Casas, D. M. Frangopol, and A. S. Nowak, Eds., CIMNE, Barcelona, Spain, 2002.
[23]  H. O. Madsen, “Model updating in reliability analysis, Proc,” in Proceedings of the 5th International Conference on Applications of Statistics and Probability to Soil and Structural Engineering, pp. 564–577, Vancouver, Canada, 1987.
[24]  H. O. Madsen and J. D. Sorensen, “Probability-based optimization of fatigue design, inspection and maintenance,” in Proceedings of the Integrity of Offshore Structures, Glasgow, UK, 1990.
[25]  R. Zheng and B. R. Ellingwood, “Role of non-destructive evaluation in time-dependent reliability analysis,” Structural Safety, vol. 20, no. 4, pp. 325–339, 1998.
[26]  T. Onoufriou, “Reliability based inspection planning of offshore structures,” Marine Structures, vol. 12, no. 7-8, pp. 521–539, 1999.
[27]  T. D. Righiniotis, “Influence of management actions on fatigue reliability of a welded joint,” International Journal of Fatigue, vol. 26, no. 3, pp. 231–239, 2004.
[28]  M. H. Faber and J. D. Sorensen, “Indicators for inspection and maintenance planning of concrete structures,” Structural Safety, vol. 24, no. 2-4, pp. 377–396, 2002.
[29]  M. I. Rafiq, M. Chryssanthopoulos, and T. Onoufriou, “Sensitivity of uncertainty in performance prediction of deteriorating concrete structures,” Structure and Infrastructure Engineering, vol. 2, no. 2, pp. 117–130, 2006.
[30]  K. A. T. Vu and M. G. Stewart, “Structural reliability of concrete bridges including improved chloride-induced corrosion models,” Structural Safety, vol. 22, no. 4, pp. 313–333, 2000.
[31]  A. Lentz, M. H. Faber, and T. Jonsen, “Halfcell potential measurements for condition assessment,” in Proceedings of the International Conference on Bridge Maintenance, Safety and Management (IABMAS '02), J. R. Casas, D. M. Frangopol, and A. S. Nowak, Eds., pp. 365–366, CIMNE, Barcelona, Spain, 2002.
[32]  M. K. Chryssanthopoulos and G. Sterrit, “Integration of deterioration modelling and reliability assessment for reinforced concrete bridge structures,” in Proceedings of the Asranet International Colloquium, Glasgow, UK, July 2002.

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