A optimum prediction model of chloride ion diffusion coefficient of machine-made sand concrete based on different machine learning methods

Author:

Zheng WeiORCID,Cai Jiqi

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference53 articles.

1. Development of a waste‐based eco‐friendly structural mortar without Portland cement and natural sand;Gholampour;Struct. Concr.,2021

2. A study on using crushed sand to replace natural sand in high-strength self-compacting concrete towards sustainable development in construction;Lam, L N N;IOP Conf. Ser.: Earth Environ. Sci.,2020

3. Effect of copper slag and granite dust as sand replacement on the properties of concrete;P M V;Mater. Today.: Proc.,2020

4. Potential use of sugar cane bagasse ash as sand replacement for durable concrete;Veronica;J. Build. Eng.,2021

5. Study on the mechanical properties and prediction model of ultra-high performance concrete containing aeolian sand and recycled mixed powder;Zhu;J. Build. Eng.,2023

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