000004548 001__ 4548
000004548 005__ 20141118192705.0
000004548 0177_ $$2doi$$a10.3850/978-981-07-2219-7_P281

000004548 0247_ $$210.3850/978-981-07-2219-7_P281
$$adoi
000004548 04107 $$aeng
000004548 046__ $$k2012-05-23
000004548 100__ $$aSánchez-Silva, Mauricio
000004548 24500 $$aEffect of Deterioration Models in the Performance of Infrastructure Systems

000004548 24630 $$n5.$$pProceedings of the 5th Asian-Pacific Symposium on Structural Reliability and its Applications
000004548 260__ $$bResearch Publishing, No:83 Genting Lane, #08-01, Genting Building, 349568 SINGAPORE
000004548 506__ $$arestricted
000004548 520__ $$2eng$$aModeling degradation of structures and infrastructure systems is essential for lifecycle cost analysis and reliability estimations. In practice, modeling degradation can be used to: (1) estimate the probability that the capacity of the system falls below a pre-specified performance threshold level; (2) compute the average structure's availability; and (3) estimate the capacity of the system at a given time t. Information from degradation models can also be used for developing fragility curves and making decisions about design and operation variables. Although many structural degradationmodels have been proposed, a comprehensive degradationmodel should take into consideration that: 1) structural deterioration is a combination of both progressive and sudden damaging events; 2) the structure's damage space is not discrete; 3) there is a significant uncertainty in estimating the system state at at given point in time and after an intervention (i.e., after maintenance or failure); and 4) the selection of acceptable operational and failure thresholds is both difficult and critical for decision making. 
 The objective of this paper is to present a brief overview of the structural degradation problem, the existing degradation models and the parameters that control the process. The paper also presents the results of a parametric analysis that emphasizes the sensitivity of the results to the modeling assumptions. The results highlight the importance of selecting the appropriate model for the problem at hand and the need for collecting field data.

000004548 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000004548 653__ $$aLife-cycle, Deterioration, Infrastructure systems, Stochastic models.

000004548 7112_ $$a5th Asian-Pacific Symposium on Structural Reliability and its Applications$$cSingapore (SG)$$d2012-05-23 / 2012-05-25$$gAPSSRA2012
000004548 720__ $$aSánchez-Silva, Mauricio$$iRiascos-Ochoa, Javier
000004548 8560_ $$ffischerc@itam.cas.cz
000004548 8564_ $$s251230$$uhttps://invenio.itam.cas.cz/record/4548/files/P281.pdf$$yOriginal version of the author's contribution as presented on CD, .
000004548 962__ $$r4180
000004548 980__ $$aPAPER