Use of interpretable machine learning approaches for quantificationally understanding the performance of steel fiber-reinforced recycled aggregate concrete: From the perspective of compressive strength and splitting tensile strength-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Use of interpretable machine learning approaches for quantificationally understanding the performance of steel fiber-reinforced recycled aggregate concrete: From the perspective of compressive strength and splitting tensile strength

Published:2024-11 Issue: Volume:137 Page:109170
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhang Shuyuan^ORCID,Chen Wenguang,Xu Jinjun,Xie Tianyu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference116 articles.

1. Experimental and micromechanical investigation on the mechanical and durability properties of recycled aggregates concrete;Adessina;Cement Concr. Res.,2019

2. Influence of double hooked-end steel fibers and slag on mechanical and durability properties of high performance recycled aggregate concrete;Afroughsabet;Compos. Struct.,2017

3. Steel fiber’s effect on the mechanical properties of concrete with recycled aggregate;Ahanger;Mater. Today: Proc,2024

4. Utilizing plastic waste in the building and construction industry: a pathway towards the circular economy;Ahmed;Construct. Build. Mater.,2023

5. Assessment of the split tensile strength of fiber reinforced recycled aggregate concrete using interpretable approaches with graphical user interface;Alabduljabbar;Mater. Today Commun.,2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP