Determining an Optimal Maintenance Period for Infrastructure Systems

Zhang, Xueqing; Gao, Hui

doi:10.1111/j.1467-8667.2011.00739.x

Cited by 38 publications

(26 citation statements)

References 36 publications

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“…Such significant variations explain the necessity of considering both temporal and spatial uncertainties in the investigation of deterioration processes. More recent studies have demonstrated the advantages of incorporating the variability of the involved parameters into the predictive models (e.g., Sudret et al, ; Vorechovska et al, ; Choi and Seo, ; Zhang and Gao, ; Cusson et al, ). These studies indicate how the estimation of the likelihood and extent of corrosion damage can be improved when the influential parameters are treated as random variables.…”

Section: Introductionmentioning

confidence: 99%

A Stochastic Computational Framework to Investigate the Initial Stage of Corrosion in Reinforced Concrete Superstructures

Shafei

Alipour

Shinozuka

2013

Computer aided Civil Eng

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This article presents a stochastic computational framework to investigate the chloride‐induced corrosion of reinforced concrete superstructures. For this purpose, three‐dimensional finite‐element models are developed to determine the extent of chloride penetration into the superstructure components. One of the unique capabilities of this framework is to simultaneously consider all the major factors that affect the corrosion process. Furthermore, the developed framework integrates various sources of uncertainty into the performance predictions. This will be achieved by modifying the element properties and boundary conditions of the finite‐element models at each time step. For a reliable durability assessment of deteriorating structural components, the proposed framework incorporates the temporal and spatial uncertainties of the influential parameters into the finite‐element analysis. Considering that most of the parameters involved in the corrosion process follow non‐normal distributions, a series of non‐Gaussian stochastic fields are generated following a computationally efficient procedure. The results calculated from extensive stochastic simulations are expressed in terms of the likelihood and extent of corrosion initiation. The outcome of this study indicates that the computational investigation of the corrosion process can be significantly improved if a reliable probabilistic framework is employed instead of conventional deterministic approaches.

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Section: Introductionmentioning

confidence: 99%

A Stochastic Computational Framework to Investigate the Initial Stage of Corrosion in Reinforced Concrete Superstructures

Shafei

Alipour

Shinozuka

2013

Computer aided Civil Eng

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“…A way to describe a beneficial effect of preventive maintenance on the system reliability was suggested by Chan and Shaw [16] who assumed that each maintenance action reduces the (non-decreasing) intensity of a quantity that is proportional to the current intensity value (proportional reduction) (see also Doyen and Gaudoin [17], and Zhang and Gao [18] for a discussion on the idea). The idea in [16] has been later developed by Calabria and Pulcini [19] to model the failure pattern of equipment subject not only to imperfect repairs but also to worse repairs.…”

Section: B Imperfect Repair Modelingmentioning

confidence: 99%

A Model-Driven Approach for the Failure Data Analysis of Multiple Repairable Systems Without Information on Individual Sequences

Pulcini

2013

IEEE Trans. Rel.

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This paper proposes a model-driven approach which is able to analyze the failure data of multiple repairable systems when no information on the individual sequences is available, thus overcoming the limitations of the previous models proposed in the literature. The proposed approach can analyze the failure data of systems subject to minimal, imperfect, or worse repairs; and is developed under a general form of the baseline failure intensity. Both failure-and time-truncation are considered, provided that the truncation time is the same for all the systems. Due to its physical interpretation, the proposed approach allows the reliability characteristics of the failure process to be estimated, and it allows the effect of the repairs on the system reliability to be checked via testing procedures. The proposed approach has been applied to a well-known real data set, which inspired the work in this paper, showing its flexibility and great potential.

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“…Chien and Chen 15 used the costeffectiveness to determine the preventive replacement strategy which describes the maintenance degree by parameter model. Based on the improvement factor, Zhang and Gao 16 proposed the maintenance optimization model considering reliability requirement. Lina et al 17 studied the maintenance method for comparing the effect of different maintenance strategies on system reliability and cost.…”

Section: Introductionmentioning

confidence: 99%

Performance deterioration modeling and optimal preventive maintenance strategy under scheduled servicing subject to mission time

Zhang

Qiang-hui

et al. 2014

Chinese Journal of Aeronautics

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Servicing is applied periodically in practice with the aim of restoring the system state and prolonging the lifetime. It is generally seen as an imperfect maintenance action which has a chief influence on the maintenance strategy. In order to model the maintenance effect of servicing, this study analyzes the deterioration characteristics of system under scheduled servicing. And then the deterioration model is established from the failure mechanism by compound Poisson process. On the basis of the system damage value and failure mechanism, the failure rate refresh factor is proposed to describe the maintenance effect of servicing. A maintenance strategy is developed which combines the benefits of scheduled servicing and preventive maintenance. Then the optimization model is given to determine the optimal servicing period and preventive maintenance time, with an objective to minimize the system expected life-cycle cost per unit time and a constraint on system survival probability for the duration of mission time. Subject to mission time, it can control the ability of accomplishing the mission at any time so as to ensure the high dependability. An example of water pump rotor relating to scheduled servicing is introduced to illustrate the failure rate refresh factor and the proposed maintenance strategy. Compared with traditional methods, the numerical results show that the failure rate refresh factor can describe the maintenance effect of servicing more intuitively and objectively. It also demonstrates that this maintenance strategy can prolong the lifetime, reduce the total lifetime maintenance cost and guarantee the dependability of system. ª 2014 Production and hosting by Elsevier Ltd. on behalf of CSAA & BUAA.

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Determining an Optimal Maintenance Period for Infrastructure Systems

Cited by 38 publications

References 36 publications

A Stochastic Computational Framework to Investigate the Initial Stage of Corrosion in Reinforced Concrete Superstructures

A Stochastic Computational Framework to Investigate the Initial Stage of Corrosion in Reinforced Concrete Superstructures

A Model-Driven Approach for the Failure Data Analysis of Multiple Repairable Systems Without Information on Individual Sequences

Performance deterioration modeling and optimal preventive maintenance strategy under scheduled servicing subject to mission time

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