WENYU LIAO

Research Assistant Professor

Missouri University of Science and Technology

United States

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About

Wenyu Liao is a Research Assistant Professor at Missouri University of Science and Technology in the United States. His research areas include the performance of cement paste with low-grade steel slag, aqueous carbonation mechanisms of steel slags, and the pozzolanic reactivity of carbonated fly ash. He has also investigated the alkali-silica reaction in concrete, sustainable construction materials, and the thermal behavior of phase change materials.

Articles (13)

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2021

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2021

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2020

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Missouri University of Science and Technology

UNITED STATES

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WENYU LIAO

Research Interests

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About

Articles (13)

Positive effects of sulfates on performance of cement paste incorporating low-grade, high-aluminum steel slag

Aqueous carbonation of steel slags: A comparative study on mechanisms

Pozzolanic reactivity of carbonated high-calcium fly ash: A mechanism study

Characterization of alkali-silica reaction (ASR) products and C-S-H using SWIR spectroscopy for nondestructive detection of ASR

Development and Characterization of Coal-Based Thermoplastic Composite Material for Sustainable Construction

Investigation of corrosion mechanism of ribbed mild steel bars coated with magnesium potassium phosphate cement paste

Densifying hydration products of alite by a bio-inspired admixture

In situ monitoring of the hydration of calcium silicate minerals in cement with a remote fiber-optic Raman probe

Multi-level modeling of thermal behavior of phase change material incorporated lightweight aggregate and concrete

Mitigation of thermal curling of concrete slab using phase change material: A feasibility study

Characterization of sugarcane bagasse ash as a potential supplementary cementitious material: Comparison with coal combustion fly ash

Fiber optic sensors enabled monitoring of thermal curling of concrete pavement slab: Temperature, strain and inclination

Prediction of surface chloride concentration of marine concrete using ensemble machine learning

Collaborators (5)

Hongyan Ma

Genda Chen

Jie Huang

Gao Deng

Bohong Zhang

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