Venkatesh Kumar Kodur

University Distinguished Professor and Director, SAFE-D Centre

Michigan State University

United States

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Venkatesh Kumar Kodur is a University Distinguished Professor and Director of the SAFE-D Centre at Michigan State University, USA. His research areas include the thermal properties of concrete, fire performance of structures, and innovative reinforcement materials in concrete applications. Recent articles authored by Professor Kodur examine topics such as evacuation strategies in hospital buildings, the effect of fire on concrete structures, and the seismic performance of masonry buildings reinforced with sustainable materials.

Articles (20)

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2025

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2022

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2022

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2022

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2022

Collaborators (3)

Srishti Banerji

Assistant Professor of Structural Engineering

Utah State University

UNITED STATES

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Daud Abdoh

University of Twente

NETHERLANDS

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Sreekanta Das

Professor

CANADA

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Venkatesh Kumar Kodur

Research Interests

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Articles (20)

Shaking table tests of one and two story masonry building models seismically augmented with plastic waste reinforced cementitious composite

Characterizing the thermal properties of polymer concrete at elevated temperatures

Modelling the Effect of Smoke on Evacuation Strategies in Hospital Buildings

Fire performance of concrete structures incorporating FRP reinforcement: State-of-the-art and knowledge gaps

Characterization of Plant-Based Natural Fiber Ropes for Potential Futuristic Application as Reinforcement in Concrete Structures

Performance of steel beams with endplate connections exposed to fire

Evaluating Shear Response of UHPC Bridge Girders Exposed to Fire

Modeling via peridynamics for crack propagation in laminated glass under fire

A coupled 3D thermo-mechanical peridynamic model for cracking analysis of homogeneous and heterogeneous materials

Factors influencing pore pressure measurements in concrete during heating and its influence on fire-induced spalling

Numerical model for tracing the response of Ultra‐High performance concrete beams exposed to fire

Temperature-dependent properties of high-strength steel for evaluating the fire resistance of structures

Comparative Fire Behavior of Reinforced Concrete Beams Made of Different Concrete Strengths

Experimental and Numerical Investigation of Blast Wave Attenuation by Using Barriers in Different Configurations and Shapes

Performance of clay masonry prisms with light weight plaster exposed to standard fire exposure

Modeling parameters for predicting the fire-induced progressive collapse in steel framed buildings

Performance evaluation of lightweight insulating plaster for enhancing the fire endurance of high strength structural concrete

Computationally efficient and effective peridynamic model for cracks and fractures in homogeneous and heterogeneous materials

Predicting Flexural Capacity of Ultrahigh-Performance Concrete Beams: Machine Learning–Based Approach

Explainable machine learning using real, synthetic and augmented fire tests to predict fire resistance and spalling of RC columns

Collaborators (3)

Srishti Banerji

Daud Abdoh

Sreekanta Das

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