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Virtual mix design: Prediction of compressive strength of concrete with industrial wastes using deep data augmentation

Ning Chen, Shibo Zhao, Zhiwei Gao Orcid Logo, Dawei Wang, Pengfei Liu, Markus Oeser, Yue Hou, Linbing Wang

Construction and Building Materials, Volume: 323, Start page: 126580

Swansea University Author: Yue Hou

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Published in: Construction and Building Materials
ISSN: 0950-0618
Published: Elsevier BV 2022
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Keywords: Virtual material design; Compressive strength prediction; Data augmentation; Deep learning; Lightweight model
College: Faculty of Science and Engineering
Funders: This work was supported by the International Research Cooperation Seed Fund of Beijing University of Technology (No. 2021A05), Opening project fund of Materials Service Safety Assessment Facilities (MSAF-2021-109), Talent Promotion Program by Beijing Association for Science and Technology, and the Construction of Service Capability of Scientific and Technological Innovation-Municipal Level of Fundamental Research Funds (Scientific Research Categories) of Beijing City.
Start Page: 126580