Development of a hybrid artificial intelligence model to predict the uniaxial compressive strength of a new aseismic layer made of rubber-sand concrete-Reference-Cited by-同舟云学术

Development of a hybrid artificial intelligence model to predict the uniaxial compressive strength of a new aseismic layer made of rubber-sand concrete

Published:2022-03-23 Issue: Volume: Page:1-18
ISSN:1537-6494
Container-title:Mechanics of Advanced Materials and Structures
language:en
Short-container-title:Mechanics of Advanced Materials and Structures

Author:

Mei Xiancheng¹²,Li Chuanqi³,Sheng Qian¹²,Cui Zhen¹²,Zhou Jian⁴,Dias Daniel³⁵

Affiliation:

1. Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, China

2. University of Chinese Academy of Sciences, Beijing, China

3. Laboratory 3SR, CNRS UMR 5521, Grenoble Alpes University, Grenoble, France

4. School of Resources and Safety Engineering, Central South University, Changsha, China

5. School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China

Funder

National Natural Science Foundation of China

CRSRI Open Research Program

MOE Key Lab of Disaster Forecast and Control in Engineering, Jinan University

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,General Mathematics,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15376494.2022.2051780

Reference95 articles.

1. Improving the behaviors of foam concrete through the use of composite binder

2. Mechanical properties and microstructure of glass fiber and polypropylene fiber reinforced concrete: An experimental study

3. Influence of rubber particles on the properties of foam concrete

4. Effect of compression casting method on the compressive strength, elastic modulus and microstructure of rubber concrete

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