Evaluation of Concrete Pavement Performance Model Considering Inherent Bias in Performance Data

被引:1
作者
de Salles, Lucio Salles [1 ]
Kosar, Katelyn [2 ]
Khazanovich, Lev [2 ]
机构
[1] Rochester Inst Technol, Dept Civil Engn Technol Environm Management & Safe, 78 Lomb Mem Dr, Rochester, NY 14623 USA
[2] Univ Pittsburgh, Dept Civil & Environm Engn, 3700 OHara St, 742 Benedum Hall, Pittsburgh, PA 15261 USA
关键词
Concrete pavement; Field database; Reliability; Pavement management system (PMS); Censored performance data;
D O I
10.1061/JPEODX.PVENG-1458
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Concrete pavement performance models are evaluated, calibrated, and validated using field data from databases like the Long-Term Pavement Program. Conceptually, performance model predictions should match field data considering a reliability of 50%; that is, there is a 50% probability that the predictions of a certain distress indicator are higher or lower than the field data. However, modern pavements are designed for higher levels of reliability (usually 90% to 95%). Local performance model evaluation for higher levels of reliability requires a high amount of field data that traditional databases lack. Pavement management system (PMS) databases can be a useful resource for high reliability model analysis because of the large amount of data collected locally and regularly. However, when selecting and filtering field databases (of any source), the effect of censored performance data due to rehabilitation, removal from service, or modification of pavement sections is usually ignored. This paper proposes an approach for the use of PMS databases accounting for censored performance data to evaluate the accuracy of performance models' high reliability predictions. The approach is exemplified using a PMS transverse joint faulting database. Results show that by addressing the "survival issue," i.e., accounting for the censored performance data, the resulting PMS-based reliability model improves the faulting model accuracy in matching the field data for high reliability levels.
引用
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页数:11
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