Probabilistic Life Cycle Cost Model for Repairable System

Nasir, Meseret; Chong, Hue-yee; Osman, Sabtuni

doi:10.1088/1757-899x/78/1/012027

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Cost estimation through probability analysis has been performed assuming degradation of asphalt and concrete for 100 years but it only provides repairing cost estimation not based on the quantitative modeling but on the assumed simulation (Salem et al 2003;Swei et al 2013;Chan et al 2008). In the previous models, the probability techniques mainly dealt with the cost connections like investment, running, maintenance, fault, and dismantle without deterioration evaluation/prediction based on probability approach (Nasir et al 2015;Bian et al 2014). Many complicated numerical techniques such as artificial neural network (Nasir et al 2015;Bian et al 2014), fuzzy logic systems, and adaptive network-based fuzzy inference system are implemented for LCCA but repairing cost is usually determined through not probability method but deterministic method (Flintsch and Chen 2004;Barringer and Weber 1997;Rahman and Vanier 2004).…”

Section: Introductionmentioning

confidence: 99%

Maintenance for Repaired RC Column Exposed to Chloride Attack Based on Probability Distribution of Service Life

Jung

Yang

et al. 2018

Int J Concr Struct Mater

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Chloride attack is one of the most critical deterioration due to rapid corrosion initiation and propagation which can cause structural safety problem. Extended service life through repairing is very important for determination of maintenance strategy. Conventionally adopted models for estimation of life cycle cost have shown step-shaped elevation of cost, however the extension of service life is much affected by quality of construction and repairing materials, which means engineering uncertainties in residual service life. In the paper, reinforced concrete column with three different mix proportions exposed to chloride attack are considered, and repairing numbers with related costs are evaluated through probabilistic technique for maintenance. With a given exposure condition, service lives with normal probabilistic distribution are considered, and the effect of design parameters such as coefficient of variation of service life and 1st repairing timing are investigated. The comparison of results from conventional approach (step-function) and probabilistic approach are performed. When calculating repair frequency for intended service life through probabilistic model, the required repair frequency is evaluated to be 6.71 times for OPC, 4.09 times for SG30, and 2.95 times for SG50, respectively. The probabilistic model for repairing cost is evaluated to be effective for reducing the repair frequency reasonably with changing the intended service life and design parameters.

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Section: Introductionmentioning

confidence: 99%

Maintenance for Repaired RC Column Exposed to Chloride Attack Based on Probability Distribution of Service Life

Jung

Yang

et al. 2018

Int J Concr Struct Mater

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Prediction of Service Life and Evaluation of Probabilistic Life-Cycle Cost for Surface-Repaired Carbonated Concrete

Lee

Suraneni

et al. 2020

J. Mater. Civ. Eng.

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Total Repair Cost Simulation Considering Multiple Probabilistic Measures and Service Life

et al. 2021

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In this study, the total maintenance cost for public houses in South Korea was analyzed, and the effect of each repair process on the total maintenance cost was evaluated with probabilistic and deterministic methods. In the probabilistic method, quality of repair materials and construction skills were considered in the variability of extended service life through repair, while the deterministic method considered it by simple summation of repair step. The repair cost was analyzed considering the coefficient of variation (COV) of extended service life, so the reasonable total maintenance cost was able to be evaluated. Since the results through the probabilistic method provided a continuous cost line, a reasonable repair strategy was carried out by simply changing the intended service life of the structure. The repair cost was additionally analyzed with constant COV (0.15) of each repair process for considering various situations. The analysis results with a COV of 0.15 exhibited a slightly higher maintenance cost than those with current COV. The total maintenance costs can be adjusted if the initial repair timing is extended to the largest possible extent for the highest-repair-cost process since the total repair cost is dominated by the process with the highest repair cost.

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Probabilistic Life Cycle Cost Model for Repairable System

Cited by 3 publications

References 6 publications

Maintenance for Repaired RC Column Exposed to Chloride Attack Based on Probability Distribution of Service Life

Maintenance for Repaired RC Column Exposed to Chloride Attack Based on Probability Distribution of Service Life

Prediction of Service Life and Evaluation of Probabilistic Life-Cycle Cost for Surface-Repaired Carbonated Concrete

Total Repair Cost Simulation Considering Multiple Probabilistic Measures and Service Life

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