Minfei Liang (梁敏飞) ☕️
Minfei Liang (梁敏飞)

Postdoctoral Researcher

About Me

I am a postdoctoral researcher at Univeristy of Oxford, specializing in mechanical testing, numerical modeling, and machine learning applications for materials and structures in civil engineering. My work is dedicated to advancing a greener and smarter future for the construction industry.

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Interests
  • Construction Materials
  • Finite Element Modelling
  • Mechanical Characterization
  • Machine Learning
Education
  • PhD Concrete Materials/ Structures

    Delft University of Technology

  • MSc Tunnelling Engineering

    Southwest Jiaotong University

  • BSc Civil Engineering

    Southwest Jiaotong University

📚 My Research

My research spans various aspects of concrete materials and structures, encompassing experiments and simulations of early-age properties/ behaviors, micromechanical properties/ behaviors, and machine learning models for multiscale and multiphysics simulations. I am also interested in structural properties of transportation structures such as tunnels and bridges.

Currently, I am working in an EU project aimed for developing zero-emission building materials enhanced by artificial intelligence. Meanwhile, I am studying generative and physics-informed machine learning for multiscale computational mechanics.

I welcome any opportunity for discussion or collaboration 😃

Featured Publications
Recent Publications
(2025). Impact behavior of auxetic cementitious cellular composites (ACCCs) architected through additive manufacturing (AM) assisted casting: Experiment and modelling. Construction and Building Materials.
(2025). Generative AI for cementitious microstructure synthesis. In DIBE.
(2025). Quantifying the early-age viscoelastic properties of alkali activated slag concrete using repeated minutes-long creep tests. RILEM Technical Letters.
(2024). Efficiently assessing the early-age cracking risk of cementitious materials with a mini temperature stress testing machine. Cement and Concrete Composites.
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