Automating the determination of low-temperature fracture resistance curves of normal and rubberized asphalt concrete in single-edge notched beam tests using convolutional neural networks-Reference-Cited by-同舟云学术

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Automating the determination of low-temperature fracture resistance curves of normal and rubberized asphalt concrete in single-edge notched beam tests using convolutional neural networks

Published:2024-05 Issue: Volume:428 Page:136376
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Ghafari Sepehr^ORCID,Nejad Fereidoon Moghadas,Sheikh-Akbari Akbar^ORCID,Kazemi Hadi^ORCID

Publisher

Elsevier BV

Reference54 articles.

1. Fracture Mechanics: Fundamentals and Applications;Anderson,2017

2. Advanced Fracture Mechanics and Structural Integrity;Saxena,2019

3. ASTM-STP 527. Fracture toughness evaluation by R-curve method. Philadelphia, PA, USA: American Society for Testing and Materials; 1973..

4. J-Resistance curve testing of HY80 steel using SE(B) specimens and normalization method;Zhu;Eng. Fract. Mech. 74,2007

5. R-Curve behavior and crack propagation properties of asphalt concrete at low temperatures;Ghafari;J. Civ. Eng. Manag.,2015

Cited by 1 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. Low-Temperature Mixed Mode (I/II) Fracture Characterization of Polymerized Sulfur Modified AC Mixtures;Key Engineering Materials;2024-08-29

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