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Rami Mansour

Assistant Professor

Aarhus University

Denmark

Research Interests

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Professors in Structural Engineering

About

Rami Mansour is an Assistant Professor at Aarhus University, Denmark. His research focuses on materials science, particularly in the areas of fatigue behavior, plasticity modeling, and the effects of manufacturing techniques on material properties. Recent publications include studies on the fatigue life of stainless steel, moisture penetration dynamics in paper, and probabilistic assessments of welded joints.

Positions (1)

Rami Mansour

University Name

Aarhus University

1 year ago

Engineering

No summary provided for this position.

1 year ago

Articles (12)

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2025

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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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2023

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2022

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2021

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2021

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2021

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2021

Collaborators (3)

Pavel Krakhmalev

Senior lecturer, Docent, Professor

Karlstad University

SWEDEN

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Sasan Dadbakhsh

KTH Royal Institute of Technology

SWEDEN

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Yuan Wei

Associate Professor

KTH Royal Institute of Technology

SWEDEN

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Rami Mansour

Research Interests

Explore related searches

About

Positions (1)

Engineering

Articles (12)

Influence of temperature-dependent viscoplastic relaxation and strain-induced martensitic transformation on the fatigue life of 304L stainless steel

Experimental investigation and numerical modelling of the cyclic plasticity and fatigue behavior of additively manufactured 316 L stainless steel

Predicting moisture penetration dynamics in paper with machine learning approach

Fatigue strength assessment of welded joints incorporating the variability in local weld geometry using a probabilistic framework

Effect of Scanning Strategy on Thermal Stresses and Strains during Electron Beam Melting of Inconel 625: Experiment and Simulation

Fatigue strength improvement of additively manufactured 316L stainless steel with high porosity through preloading

Anisotropic damage behavior in fiber-based materials: Modeling and experimental validation

Evaluation of Hoffman and Xia plasticity models against bi-axial tension experiments of planar fiber network materials

Second-order reliability methods: a review and comparative study

Digital Scanning of Welds and Influence of Sampling Resolution on the Predicted Fatigue Performance: Modelling, Experiment and Simulation

The influence of structural variations on the constitutive response and strain variations in thin fibrous materials

Fatigue probability model for AWJ-cut steel including surface roughness and residual stress

Collaborators (3)

Pavel Krakhmalev

Sasan Dadbakhsh

Yuan Wei

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