Mohamed ElGawady

Professor

Missouri University of Science and Technology
Country flagUnited States

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About

Professor Mohamed ElGawady is a faculty member at Missouri University of Science and Technology, USA. His research areas encompass interfacial bond strength in civil engineering materials, structural behavior under various loading conditions, and the utilization of geopolymer materials for sustainable construction. Recent work includes studies on the performance of steel piles, prestressed concrete girder bridges, and the effects of corroded materials in structural applications.

Articles (19)

Year:

2025

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2025

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2025

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2025

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2025

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2025

Year:

2025

Accidental collisions involving over-height trucks that exceed vertical clearance limits and bridge superstructures frequently happen, resulting in compromised girders and potential threats to structural safety and performance. The numerical simulation of large-scale prestressed girder bridge collisions poses challenges due to the associated nonlinearities, as well as the limited availability of large-scale experimental testing data in the literature due to cost and complexity constraints. This study introduces a numerical modeling approach to efficiently capture the response of prestressed girder bridges under lateral impact loads. A finite element (FE) model was developed using LS-DYNA and meticulously validated against experimental data from the literature. The study explored four methods for applying prestressing forces and evaluated the performance of four concrete material constitutive models, including the Continuous Surface Cap Model (CSCM), Concrete Damage Plastic Model (CDPM), Karagozian & Case Concrete (KCC) model, and Winfrith concrete model, under impact loads. Furthermore, an impact study was conducted to investigate the influence of impact speed, impact mass, and prestressing force on the behavior of prestressed girder bridges. Utilizing the dynamic relaxation (DR) approach, the developed FE model precisely captured the response of prestressed girders under impact loads. The CSCM yielded the most accurate predictions of impact forces, with an error of less than 8%, and demonstrated a strong ability to predict damage patterns. Impact speed, mass, and the presence of prestressing force showed a significant influence on the resulting peak impact force experienced by the girder. Furthermore, the study underscores the composite nature of the bridge’s response and emphasizes the importance of analyzing the bridge as a whole rather than focusing solely on individual girders.

Year:

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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2022

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2022

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2022

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2021

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2020

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2020

Year:

2020

Collaborators (6)

Mohanad Abdulazeez

Missouri University of Science and Technology

UNITED STATES
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Mohamed T. Elshazli

Assistant Research Professor

University of Missouri System

UNITED STATES
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Alireza Pourhassan

Missouri University of Science and Technology

UNITED STATES
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Ahmed Ibrahim

University of Idaho

UNITED STATES
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Xing Ma

Lecture/Senior Lecturer

University of South Australia

AUSTRALIA
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Song Wang

Assistant Professor

University of Hartford

UNITED STATES
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