Probability prediction of pavement surface low temperature in winter based on bayesian structural time series and neural network-Reference-Cited by-同舟云学术

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Probability prediction of pavement surface low temperature in winter based on bayesian structural time series and neural network

Published:2022-02 Issue: Volume:194 Page:103434
ISSN:0165-232X
Container-title:Cold Regions Science and Technology
language:en
Short-container-title:Cold Regions Science and Technology

Author:

Li Yueyan,Chen Jiaqi,Dan Hancheng,Wang Hao

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,Geotechnical Engineering and Engineering Geology

Reference36 articles.

1. Mechanistic - Empirical Pavement Design Guide: A Manual of Practice;AASHTO,2008

2. Winter highway maintenance strategies: are all the sodium chloride salts the same;Autelitano;Constr. Build. Mater.,2019

3. A Bayesian structural time series approach for predicting red sea temperatures;Bounceur;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2020

4. Pavement temperature prediction: Theoretical models and critical affecting factors;Chen;Appl. Therm. Eng.,2019

5. Temperature distribution of asphalt bridge deck pavement with groundwater circulation temperature control system under high- and low temperature conditions;Dan;Road Mater. Pavement Des.,2019

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