Life-Cycle Cost Design of Deteriorating Structures

Frangopol, Dan M.; Lin, Kai-Yung; Estes, Allen C.

doi:10.1061/(asce)0733-9445(1997)123:10(1390)

Cited by 382 publications

(154 citation statements)

References 5 publications

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“…, m − 1 and the inspection quality α j ≥ 0, which can vary from inspection to inspection. Other, but similar models can be found in the literature 30),88), 90) . The probability of detect function Prob(D|k, α j ) of Eq.…”

Section: (4) Imperfect Maintenance Actionssupporting

confidence: 59%

Cost-Benefit Based Optimization of Maintenance Interventions for Deteriorating Structures

Higuchi

Macke

2007

Structural Eng./Earthquake Eng.

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In most more economically developed countries an ever growing percentage of existing structures is threatened by obsolescence in the short-to medium-term-either because of structural deficits due to deterioration, or due to functional aging. To ensure sustained serviceability and safety of these structures, maintenance interventions are utilized, which allow partial or complete structural rehabilitation. However, such maintenance interventions have to be economically reasonable, that is, maintenance expenditures spent have to be outweighed by expected future benefits. For this purpose, we propose herein a novel optimization formulation for maintenance planning based on cost-benefit criteria. The usefulness of the proposed approach lies in the fact, that it not only allows to determine optimal sequences of maintenance times, rehabilitation levels and inspection qualities, but also allows to specify economically optimal lifetimes and acceptable failure rates of structures. The modeling of structural deterioration and maintenance, as well as the setting of all relevant cost factors is discussed in detail. Numerical examples investigate the effect of imperfect execution of maintenance actions and functional aging.

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Section: (4) Imperfect Maintenance Actionssupporting

confidence: 59%

Cost-Benefit Based Optimization of Maintenance Interventions for Deteriorating Structures

Higuchi

Macke

2007

Structural Eng./Earthquake Eng.

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“…Decay may also be modelled using probabilistic methods (Leicester, 2001;Wang et al, 2006), as predictions on decay evolution and its consequences on structural safety and maintenance planning may be considered using time evolution deterioration curves. The concept of life-cycle performance evaluation of deteriorating structures has been studied by several authors (Thoft-Christensen, 1998;Nowak et al, 1998;Frangopol et al, 2001;Kong and Frangopol, 2002;Neves and Frangopol, 2005) for concrete and steel structures, and it is possible to adapt the same conceptual framework for the life-cycle design of timber structures, provided that the uncertainties in the input variables are quantified (Frangopol et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

In situ measured cross section geometry of old timber structures and its influence on structural safety

et al. 2012

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Old timber structures may show significant variation in the cross section geometry along the same element, as a result of both construction methods and deterioration. As consequence, the definition of the geometric parameters in situ may be both time consuming and costly. This work presents the results of inspections carried out in different timber structures. Based on the obtained results, different simplified geometric models are proposed in order to efficiently model the geometry variations found. Probabilistic modelling techniques are also used to define safety parameters of existing timber structures, when subjected to dead and live loads, namely self-weight and wind actions. The parameters of the models have been defined as probabilistic variables, and safety of a selected case study was assessed using the Monte Carlo simulation technique. Assuming a target reliability index, a model was defined for both the residual cross section and the time dependent deterioration evolution. As a consequence, it was possible to compute probabilities of failure and reliability indices, as well as, time evolution deterioration curves for this structure. The results obtained provide a proposal for definition of the cross section geometric parameters of existing timber structures with different levels of decay, using a simplified probabilistic geometry model and considering a remaining capacity factor for the decayed areas. This model can be used for assessing the safety of the structure at present and for predicting future performance.

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“…These actions can be applied at prescribed regular time intervals. However, it has been shown [Frangopol et al 1997] that non-uniform time intervals are more efficient for maximizing the structural performance over the life-cycle of the system while simultaneously minimizing the total cost of the maintenance plan.…”

Section: Introductionmentioning

confidence: 99%

Life-cycle maintenance of deteriorating structures by multi-objective optimization involving reliability, risk, availability, hazard and cost

2014

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Citation: . Life-cycle maintenance of deteriorating structures by multi-objective optimization involving reliability, risk, availability, hazard and cost. Structural Safety, 48, Additional Information:• This is the author's version of a work that was accepted for publication availability and hazard functions) are used in conjunction with total maintenance cost for evaluating Pareto fronts associated with optimal maintenance schedules of deteriorating structures. Essential maintenance actions are considered and optimization is performed by using genetic algorithms. The approach is illustrated on an existing deteriorating bridge superstructure.

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Life-Cycle Cost Design of Deteriorating Structures

Cited by 382 publications

References 5 publications

Cost-Benefit Based Optimization of Maintenance Interventions for Deteriorating Structures

Cost-Benefit Based Optimization of Maintenance Interventions for Deteriorating Structures

In situ measured cross section geometry of old timber structures and its influence on structural safety

Life-cycle maintenance of deteriorating structures by multi-objective optimization involving reliability, risk, availability, hazard and cost

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