Moisture damage evaluation in SBS and lime modified asphalt using AFM and artificial intelligence-Reference-Cited by-同舟云学术

Moisture damage evaluation in SBS and lime modified asphalt using AFM and artificial intelligence

Published:2015-09-03 Issue:1 Volume:28 Page:125-134
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Arifuzzaman Md,Islam Muhammad Saiful,Hossain Muhammad Imtiaz

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-015-2041-6.pdf

Reference49 articles.

1. Lottman R (1978) Predicting moisture-induced damage to asphalt concrete. NCHRP Report 192, TRB

2. Transportation Research Board (TRB) (2003) Moisture sensitivity of asphalt pavements. A National Seminar, San Diego

3. Hicks R (1991) Moisture damage in asphalt concrete. NCHRP Synt. of Highway Pract. 175, Nati Rese Coun., Washington

4. Little DN, Jones DR (2003) Chemical and mechanical mechanisms of moisture damage in hot mix asphalt pavements. National Seminar in Moisture Sensitivity, San Diego

5. Jo MC, Tarrer AR, Jeon YW, Park SJ, Yoon HH (1997) Investigation of the effect of aggregate pretreatment with anti-stripping agents on the asphalt-aggregate bond. Pet Sci and Tech 15(3,4):245–271

Cited by 19 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. Chloride Salt Erosion of Asphalt Based on Adhesion, Surface Characteristics, and Microsurface Energy;Journal of Materials in Civil Engineering;2024-09

2. Characterization of microstructural evolution of asphalt due to water damage using atomic force microscopy;Construction and Building Materials;2024-08

3. Moisture Damage of Asphalt Based on Adhesion, Microsurface Energy, and Nanosurface Roughness;Journal of Materials in Civil Engineering;2022-10

4. Application of atomic force microscopy in bitumen materials at the nanoscale: A review;Construction and Building Materials;2022-08

5. Behavioral Investigation of Single Wall and Double Wall CNT Mixed Asphalt Adhesion Force Using Chemical Force Microscopy and Artificial Neural Networks;Applied Sciences;2022-02-24