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  1. No Access

    Article

    The HREM study of precipitates in an Al−Zn−Mg alloy

    A study of precipitate phases in an Al−Zn−Mg alloy in the T74 condition has been conducted by means of high resolution electron microscopy. It has been observed that G.P. zones, η′ and η phases exist simultane...

    Huisheng Jiao, Chunzhi Li in Advanced Performance Materials (1995)

  2. No Access

    Article

    Analysis and design of a three-phase TRIP steel microstructure for enhanced fracture resistance

    The goal of this paper is to predict how the properties of the constituent phases and microstructure of a transformation induced plasticity steel influence its fracture resistance. The steel selected for study...

    Zhi Li, Ravi Kiran, Jun Hu, Louis G. Hector Jr.… in International Journal of Fracture (2020)

  3. No Access

    Article

    Behaviour of Fire-Exposed Reinforced Concrete Joints with Varying Anchorage Details Subjected to Exterior Column Removal

    This paper presents an experimental assessment into the behaviour of fire-exposed reinforced concrete (RC) beam–column joints with different reinforcement anchorage details subjected to exterior column removal...

    Zhi Li, Yan Tan, **gsi Huo, Yanzhi Liu, Ahmed Y. Elghazouli in Fire Technology (2020)

  4. No Access

    Article

    Wildland Fire Burned Areas Prediction Using Long Short-Term Memory Neural Network with Attention Mechanism

    Wildland fire is a major natural disaster that causes the environmental hazards and severe negative impacts on the lives. Therefore, early prediction is the key to control such phenomenon and avoid the economi...

    Zhongzhi Li, Yufeng Huang, **aoxue Li, Lei Xu in Fire Technology (2021)

  5. No Access

    Article

    Prediction of compressive strength and tensile strain of engineered cementitious composite using machine learning

    This research extensively used different progressive machine learning (ML) techniques to predict the compressive strength (CS) and tensile strain (TSt) of engineered cementitious composites (ECC) with 14 input...

    Md Nasir Uddin, N. Shanmugasundaram… in International Journal of Mechanics and Mat… (2024)

  6. No Access

    Article

    A novel compressive strength estimation approach for 3D printed fiber-reinforced concrete: integrating machine learning and gene expression programming

    3D concrete printing (3DCP) is crucial in the construction because of the low labor cost, eco-friendly behavior; however, getting a proper mixture is always a challenge. This study focuses on predicting the co...

    Md Nasir Uddin, Junhong Ye, M. Aminul Haque… in Multiscale and Multidisciplinary Modeling,… (2024)