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Mahdi Kioumarsi

Associate Professor

Østfold University College

Norway

Research Interests

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Professors in Norway Professors in Structural Engineering Structural Engineering professors in Norway

About

Mahdi Kioumarsi is an Associate Professor at Østfold University College in Norway. His research focuses on structural engineering, particularly in the areas of computational methods, reliability assessment of masonry structures, and machine learning applications in construction materials. Recent publications include topics such as seismic assessment, eco-friendly building materials, and the impact of corrosion on structural integrity.

Articles (17)

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2025

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2023

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2023

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2023

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2023

Collaborators (1)

Vagelis Plevris

Professor

OsloMet – Oslo Metropolitan University

NORWAY

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Mahdi Kioumarsi

Research Interests

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Articles (17)

Computational Methods in Structural Engineering: Current Advances and Future Perspectives

Reliability assessment of unreinforced masonry buildings using fragility curves for collapse and non-collapse scenarios

Machine learning-driven optimization for predicting compressive strength in fly ash geopolymer concrete

Explainable tuned machine learning models for assessing the impact of corrosion on bond strength in concrete

Explainable Boosting Machine Learning for Predicting Bond Strength of FRP Rebars in Ultra High-Performance Concrete

Advanced Concrete and Construction Materials for Sustainable Structures

Seismic assessment and strengthening of a historical masonry bridge considering soil-structure interaction

Potential Use of Water Treatment Sludge as Partial Replacement for Clay in Eco-Friendly Fired Clay Bricks

Combined Use of Sewage Sludge Ash and Silica Fume in Concrete

Investigating the Effectiveness of the Stable Measurement Tests of Self-Compacting Concrete

Compressive strength of concrete containing furnace blast slag; optimized machine learning-based models

Using marble waste as a partial aggregate replacement in the development of sustainable self-compacting concrete

Predicting the elastic modulus of normal and high strength concretes using hybrid ANN-PSO

Experimental Investigation of the Effect of Steel Fibers on the Flexural Behavior of Corroded Prestressed Reinforced Concrete Beams

Application of machine learning initiatives and intelligent perspectives for CO2 emissions reduction in construction

Performance-based seismic assessment of a historical masonry arch bridge: Effect of pulse-like excitations

Natural zeolite as a supplementary cementitious material – A holistic review of main properties and applications

Collaborators (1)

Vagelis Plevris

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