Smart Structures and Systems

  • 제15권3호
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  • Pages.609-625
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  • 2015
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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Control system modeling of stock management for civil infrastructure

  • 투고 : 2014.11.17
  • 심사 : 2015.02.17
  • 발행 : 2015.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

Management of infrastructure stock is essential in sustainability of society, and its analysis and optimization 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 and economical growth. Stock management burden relative to economy is observed to become larger at low economic growth periods in developed economies. Then, control system modeling of stock management is introduced and by augmenting maintenance actions as control input, dynamic behavior of stock is simulated and compared with existing time history statistics. Assuming steady state conditions, applicability of the model to cross sectional data is also demonstrated. The proposed model is enhanced so that both preventive and 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 in terms of preventive and corrective maintenance actions, is derived based on estimated parameter values for corrosion of steel bridges. Relative cost effectiveness of preventive maintenance is shown when target deteriorated stock level is lower.

키워드

참고문헌

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피인용 문헌

  1. Prediction of the remaining service life of existing concrete bridges in infrastructural networks based on carbonation and chloride ingress vol.21, pp.3, 2015, https://doi.org/10.12989/sss.2018.21.3.305