Novel Prediction Method for Highway Distresses in Permafrost Regions Based on Qualitative Reasoning of Multidimensional and Multirules Cloud Model
Joint Authors
Zhang, Chi
Zhang, Hong
Zhang, Min
Gong, Quanli
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Highway in permafrost regions has numerous diseases during operation, due to instability and degradation of permafrost.
To predict distress sections of a newly built highway in permafrost regions, we proposed a new method based on the multidimensional and multirules reasoning cloud model.
Herein, the evaluation parameters affecting the highway distresses in permafrost regions, i.e., annual average ground temperature, ice content, and frozen-heave factor, were as the data input, whereas the distress degree was as the data output; all of the aforementioned were described by a cloud model.
Based on the analysis of distress large data, inference rules and a cloud reasoning prediction model were established.
Subsequently, distress degrees of the 10 equidistance highway sections were predicted on the Qinghai-Tibet highway by using the cloud model, and actual distress degree and predicted distress degree were compared by using the regression analysis algorithm.
The results showed that the relevance between the actual distress degree and the predicted distress degree was 0.738.
The study provides a feasible and effective method to predict the potential distress sections of the newly built highway and better plan infrastructure project on permafrost regions.
American Psychological Association (APA)
Zhang, Chi& Zhang, Hong& Zhang, Min& Gong, Quanli. 2019. Novel Prediction Method for Highway Distresses in Permafrost Regions Based on Qualitative Reasoning of Multidimensional and Multirules Cloud Model. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1197235
Modern Language Association (MLA)
Zhang, Chi…[et al.]. Novel Prediction Method for Highway Distresses in Permafrost Regions Based on Qualitative Reasoning of Multidimensional and Multirules Cloud Model. Mathematical Problems in Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1197235
American Medical Association (AMA)
Zhang, Chi& Zhang, Hong& Zhang, Min& Gong, Quanli. Novel Prediction Method for Highway Distresses in Permafrost Regions Based on Qualitative Reasoning of Multidimensional and Multirules Cloud Model. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1197235
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197235