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    Observational Analysis of Fire-Induced Spalling of Concrete through Ensemble Machine Learning and Surrogate Modeling 

    Source: Journal of Materials in Civil Engineering:;2021:;Volume ( 033 ):;issue: 001:;page 04020428
    Author(s): M. Z. Naser
    Publisher: ASCE
    Abstract: Despite ongoing research efforts, we continue to fall short of arriving at a consistent representation of fire-induced spalling of concrete. This is often attributed to the complexity and randomness of spalling as well as ...
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    CLEMSON: An Automated Machine-Learning Virtual Assistant for Accelerated, Simulation-Free, Transparent, Reduced-Order, and Inference-Based Reconstruction of Fire Response of Structural Members 

    Source: Journal of Structural Engineering:;2022:;Volume ( 148 ):;issue: 009:;page 04022120
    Author(s): M. Z. Naser
    Publisher: ASCE
    Abstract: This paper introduces CLEMSON, an automated machine-learning (AutoML) virtual assistant (VA) that enables engineers to carry acCeLErated, siMulation-free, tranSparent, reduced-Order, and infereNce-based fire resistance ...
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    Integrating Machine Learning Models into Building Codes and Standards: Establishing Equivalence through Engineering Intuition and Causal Logic 

    Source: Journal of Structural Engineering:;2024:;Volume ( 150 ):;issue: 005:;page 04024039-1
    Author(s): M. Z. Naser
    Publisher: ASCE
    Abstract: The traditional approach to formulating building codes often is slow and labor-intensive, and may struggle to keep pace with the rapid evolution of technology and domain findings. Overcoming such challenges necessitates a ...
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    Autonomous Fire Resistance Evaluation 

    Source: Journal of Structural Engineering:;2020:;Volume ( 146 ):;issue: 006
    Author(s): M. Z. Naser
    Publisher: ASCE
    Abstract: The structural fire engineering community has been slowly evolving over the past few decades. While we continue to favor a classical stand toward evaluating fire resistance of structures through fire experimentations, a ...
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    Architectural and Structural Engineering of Nineteenth- and Twentieth-Century Mental Health Institutions and Psychiatric Hospitals with Respect to Fire Causes and Mitigation Strategies 

    Source: Journal of Architectural Engineering:;2023:;Volume ( 029 ):;issue: 004:;page 04023040-1
    Author(s): Haley Hostetter; M. Z. Naser
    Publisher: ASCE
    Abstract: This paper sheds light on civil facilities that are home to the underrepresented and overlooked population with mental illnesses. More specifically, this paper examines the primary architectural engineering features of ...
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    Experimental Investigation and Modeling of the Thermal Effect on the Mechanical Properties of Polyethylene-Terephthalate FRP Laminates 

    Source: Journal of Materials in Civil Engineering:;2020:;Volume ( 032 ):;issue: 010
    Author(s): Haya H. Mhanna; Rami A. Hawileh; Wael Abuzaid; M. Z. Naser; Jamal A. Abdalla
    Publisher: ASCE
    Abstract: Recent advancements in material sciences have led to the development of new fiber-reinforced polymer (FRP) systems that, unlike traditional FRPs, are specifically tailored to have large fracture strains that are advantageous ...
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