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자료유형
학술저널
저자정보
저널정보
국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.15 No.3
발행연도
2015.1
수록면
609 - 625 (17page)

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Management of infrastructure stock is essential in sustainability of society, and its analysis andoptimization are studied in the light of control system modeling in this paper. At the first part of the paper,cost of stock management is analyzed based on macroscopic statistics on infrastructure stock andeconomical growth. Stock management burden relative to economy is observed to become larger at loweconomic growth periods in developed economies. Then, control system modeling of stock management isintroduced and by augmenting maintenance actions as control input, dynamic behavior of stock is simulatedand compared with existing time history statistics. Assuming steady state conditions, applicability of themodel to cross sectional data is also demonstrated. The proposed model is enhanced so that both preventiveand corrective maintenance can be included as system inputs, i.e., feedforward and feedback control inputs. Optimal management strategy to achieve specified deteriorated stock level with minimal cost, expressed interms of preventive and corrective maintenance actions, is derived based on estimated parameter values forcorrosion of steel bridges. Relative cost effectiveness of preventive maintenance is shown when targetdeteriorated stock level is lower.

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