Bayesian optimization based extreme gradient boosting and GPR time-frequency features for the recognition of moisture damage in asphalt pavement-Reference-Cited by-同舟云学术

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Bayesian optimization based extreme gradient boosting and GPR time-frequency features for the recognition of moisture damage in asphalt pavement

Published:2024-07 Issue: Volume:434 Page:136675
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Li Hongwei,Zhang Jun^ORCID,Yang Xiaokun,Ye Min^ORCID,Jiang Wentao,Gong Jing,Tian Yaogang,Zhao Liang,Wang Weitian,Xu Zhi

Publisher

Elsevier BV

Reference51 articles.

1. A review on moisture damages of hot and warm mix asphalt and related investigations;Kakar;J. Clean. Prod.,2015

2. Chemical and mechanical processes influencing adhesion and moisture damage in hot mix asphalt pavements;Little,2018

3. The effect of using anti-stripping additives on moisture damage of hot mix asphalt;Hamedi;Int. J. Adhes. Adhes.,2018

4. A review and perspective for research on moisture damage in asphalt pavement induced by dynamic pore water pressure;Wang;Constr. Build. Mater.,2019

5. Research on the moisture damage occurred on the asphalt pavement;Pang;Appl. Mech. Mater.,2012

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