Recent development and application of natural fiber in asphalt pavement-Reference-Cited by-同舟云学术

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Recent development and application of natural fiber in asphalt pavement

Published:2024-04 Issue: Volume:449 Page:141832
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Wu Jie^ORCID,Zhao Zifeng^ORCID,Jiang Changshan,Yang Yang,Sun Zhishuai,Yuang Jie,Xiao Feipeng^ORCID

Publisher

Elsevier BV

Reference141 articles.

1. The comparative study on the performance of bamboo fiber and sugarcane bagasse fiber as modifiers in asphalt concrete production;Ahmed;Heliyon,2022

2. Effect of bitumen emulsion and polyester resin mixture on the physico-mechanical and degradable properties of jute fabrics;Akter;Fibers,2018

3. Evaluation of the factors affecting the performance of fiber-reinforced asphalt mixtures;Al-Hosainat;J. Mater. Civ. Eng.,2023

4. Evaluating the impact of fiber type and dosage rate on laboratory performance of Fiber-Reinforced asphalt mixtures;Alfalah;Construct. Build. Mater.,2021

5. Evaluation of open-graded friction course mixtures containing cellulose fibers;Allen Cooley;Transport. Res. Rec.,2000

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Study on the Performance Improvement of Straw Fiber Modified Asphalt by Vegetable Oil;Buildings;2024-09-11

2. Understanding Toughening Mechanisms and Damage Behavior in Hybrid-Fiber-Modified Mixtures Using Digital Imaging;Buildings;2024-08-20

3. Development of Bambusa tulda fiber-micro particle reinforced hybrid green composite: A sustainable solution for tomorrow's challenges in construction and building engineering;Construction and Building Materials;2024-08

4. Machine learning models to predict mechanical performance properties of modified bituminous mixes: a comprehensive review;Asian Journal of Civil Engineering;2024-07-29

5. Enhanced Environmental Sustainability for the Acoustic Absorption Properties of Cabuya Fiber in Building Construction Using Machine Learning Predictive Model;Sustainability;2024-07-20

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