Generalized Probabilistic Framework for Optimum Inspection and Maintenance Planning

被引:110
|
作者
Kim, Sunyong [1 ,2 ]
Frangopol, Dan M. [2 ]
Soliman, Mohamed [2 ]
机构
[1] Korea Hydro & Nucl Power Co Ltd, Cent Res Inst, Seoul 135791, South Korea
[2] Lehigh Univ, Dept Civil & Environm Engn, ATLSS Engn Res Ctr, Bethlehem, PA 18015 USA
基金
美国国家科学基金会; 美国国家航空航天局;
关键词
Damage detection; Decision making; Inspection; Maintenance delay; Optimization; Probability; Service life; Uncertainty; SERVICE LIFE PREDICTION; CONCRETE STRUCTURES; SPATIAL VARIABILITY; INITIATION TIME; FATIGUE DAMAGE; RELIABILITY; CORROSION; STEEL; OPTIMIZATION; MANAGEMENT;
D O I
10.1061/(ASCE)ST.1943-541X.0000676
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper proposes a generalized probabilistic framework for optimum inspection and maintenance planning of deteriorating structures. The proposed framework covers (1) the damage occurrence and propagation and service life prediction under uncertainty, (2) the relation between degree of damage and probability of damage detection of an inspection method, and (3) the effects of inspection and maintenance on service life and life-cycle cost. Optimum inspection and maintenance types and times are obtained through an optimization formulation by maximizing the expected service life and minimizing the expected total life-cycle cost consisting of inspection and maintenance costs. The service life, life-cycle cost, and maintenance delay, along with inspection and maintenance actions, are formulated using a decision tree model. The selection of the appropriate maintenance type depends on the degree of damage. The proposed framework is general and can be applied to any types of deteriorating structures or materials. Applications of the proposed framework may include, but are not limited to, bridges, buildings, aircrafts, and naval ships. DOI: 10.1061/(ASCE)ST.1943-541X.0000676. (C) 2013 American Society of Civil Engineers.
引用
收藏
页码:435 / 447
页数:13
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