New Advances in Cement and Concrete Research-Reference-Cited by-同舟云学术

New Advances in Cement and Concrete Research

Published:2023-06-02 Issue:11 Volume:16 Page:4162
ISSN:1996-1944
Container-title:Materials
language:en
Short-container-title:Materials

Author:

Kim Gun¹^ORCID

Affiliation:

1. Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Ulju-gun, Ulsan 44919, Republic of Korea

Abstract

The Special Issue (SI), “New Advances in Cement and Concrete Research”, highlights the latest breakthroughs in cement and concrete research [...]

Funder

National Research Foundation of Korea (NRF), Republic of Korea

Publisher

MDPI AG

Subject

General Materials Science

Link

https://www.mdpi.com/1996-1944/16/11/4162/pdf

Reference11 articles.

1. Wojtacha-Rychter, K., and Smoliński, A. (2022). Multi-Case Study on Environmental and Economic Benefits through Co-Burning Refuse-Derived Fuels and Sewage Sludge in Cement Industry. Materials, 15.

2. Sim, S.-R., and Ryu, D.-W. (2023). Effect of the Concrete Slurry Waste Ratio on Supercritical CO2 Sequestration. Materials, 16.

3. Amin, M.N., Ahmad, I., Abbas, A., Khan, K., Qadir, M.G., Iqbal, M., Abu-Arab, A.M., and Alabdullah, A.A. (2022). Estimating Radiation Shielding of Fired Clay Bricks Using ANN and GEP Approaches. Materials, 15.

4. Amin, M.N., Ahmad, I., Iqbal, M., Abbas, A., Khan, K., Faraz, M.I., Alabdullah, A.A., and Ullah, S. (2022). Computational AI Models for Investigating the Radiation Shielding Potential of High-Density Concrete. Materials, 15.

5. Lee, J.M., and Lee, C.J. (2022). Inverse Estimation of Moisture Diffusion Model for Concrete Using Artificial Neural Network. Materials, 15.

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