Comparisons of Faulting-Based Pavement Performance Prediction Models
Joint Authors
Qin, Yu
Wang, Weina
Wang, Di
Li, Xiaofei
Chen, Huiqiang
Source
Advances in Materials Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-18
Country of Publication
Egypt
No. of Pages
9
Abstract EN
Faulting prediction is the core of concrete pavement maintenance and design.
Highway agencies are always faced with the problem of lower accuracy for the prediction which causes costly maintenance.
Although many researchers have developed some performance prediction models, the accuracy of prediction has remained a challenge.
This paper reviews performance prediction models and JPCP faulting models that have been used in past research.
Then three models including multivariate nonlinear regression (MNLR) model, artificial neural network (ANN) model, and Markov Chain (MC) model are tested and compared using a set of actual pavement survey data taken on interstate highway with varying design features, traffic, and climate data.
It is found that MNLR model needs further recalibration, while the ANN model needs more data for training the network.
MC model seems a good tool for pavement performance prediction when the data is limited, but it is based on visual inspections and not explicitly related to quantitative physical parameters.
This paper then suggests that the further direction for developing the performance prediction model is incorporating the advantages and disadvantages of different models to obtain better accuracy.
American Psychological Association (APA)
Wang, Weina& Qin, Yu& Li, Xiaofei& Wang, Di& Chen, Huiqiang. 2017. Comparisons of Faulting-Based Pavement Performance Prediction Models. Advances in Materials Science and Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1124547
Modern Language Association (MLA)
Wang, Weina…[et al.]. Comparisons of Faulting-Based Pavement Performance Prediction Models. Advances in Materials Science and Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1124547
American Medical Association (AMA)
Wang, Weina& Qin, Yu& Li, Xiaofei& Wang, Di& Chen, Huiqiang. Comparisons of Faulting-Based Pavement Performance Prediction Models. Advances in Materials Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1124547
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1124547