About
Mahdi Kioumarsi is an Associate Professor at the Department of Civil Engineering and Energy Technology of OsloMet—Oslo Metropolitan University in Oslo, Norway. He holds a Ph.D. in Structural engineering, from Norwegian University of Science and Technology (NTNU).
His research has been ranging from large scale (complete structures) to small scale (material level) within the field of concrete structures. Common for all his research is the combination of modelling and experimental work. The modelling includes both the use of non-linear finite element analyses, and analytical calculations. He has many years of experience doing research on structural analysis, numerical modeling, and sustainable constructions. His current research centers on the feasibility of digital technologies (i.e., BIM, digital twin, and artificial intelligence) for smart construction to minimize the built environment’s carbon footprint. He has completed various collaborative projects with international academic and industrial partners and has more than 40 papers published in peer-reviewed journals. He is serving as a reviewer for several international scientific journals.
Fields of study
Academic disciplines
Building, construction and transport technology Building materials Construction technology
Subject areas
Structural analysis Finite element methods Numerical analysis Corrosion Civil engineering Durability Concrete Steel frame behaviour Concrete structures Durability and service life Seismic Experimental Behavior Analysis Construction materials Reinforcement corrosion Buildings and infrastructure Reinforced Structure Reinforced concrete Finite element analysis
Countries
Research groups
Research projects
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HYPERION project
HYPERION will produce a comprehensive tool to assess threats of climate change in tandem with other natural hazards to cultural heritage sites.
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TRANSFORM
Advanced Materials and Technologies for Sustainable and Resilient Structures: Global Solutions through Adaptable Educational Modules.
Publications and research
Scientific publications
Farahzadi, Leila; Kioumarsi, Mahdi (2023). Application of machine learning initiatives and intelligent perspectives for CO2 emissions reduction in construction. Journal of Cleaner Production . Vol. 384.
Shabani, Amirhosein; Kioumarsi, Mahdi (2022). Optimal sensor placement techniques for modal identification of historical masonry structures. Procedia Structural Integrity . Vol. 42.
Kheyroddin, Ali; Arabsarhangi, Reza; Shabani, Amirhosein; Kioumarsi, Mahdi (2022). Optimal placement of coupling elements of RC shear walls using endurance time method. Procedia Structural Integrity . Vol. 42.
Kheyroddin, Ali; Arshadi, Hamed; Gudarzi, Mehran; Kioumarsi, Mahdi (2022). Parametrical Study on the Seismic Performance of Post-installed Anchors Using Injectable Epoxy Mortars. Arjun, Sil; Denise-Penelope N., Kontoni; Rathish Kumar, Pancharathi (Ed.). Recent Trends in Civil Engineering. Lecture Notes in Civil Engineering. vol. 274. p. 441-454. Springer.
Shabani, Amirhosein; Kioumarsi, Mahdi
(2022).
Hyperomet: An OpenSees interface for nonlinear analysis of unreinforced masonry buildings.
7 p.
SoftwareX
.
Vol. 20.
https://www.sciencedirect.com/science/article/pii/...
Dabiri, Hamed; Kioumarsi, Mahdi; Kheyroddin, Ali; Kandiri, Amirreza; Sartipi, Farid (2022). Compressive strength of concrete with recycled aggregate; a machine learning-based evaluation. Cleaner Materials. Vol. 3.
Shabani, Amirhosein; Skamantzari, Margarita; Tapinaki, Sevasti; Georgopoulos, Andreas; Plevris, Vagelis; Kioumarsi, Mahdi (2022). 3D simulation models for developing digital twins of heritage structures: challenges and strategies. Procedia Structural Integrity . Vol. 37.
Shabani, Amirhosein; Feyzabadi, Mohyeddin; Kioumarsi, Mahdi (2022). Model updating of a masonry tower based on operational modal analysis: The role of soil-structure Interaction. 18 p. Case Studies in Construction Materials . Vol. 16.
Vahidpour, Mahdi; Kheyroddin, Ali; Kioumarsi, Mahdi (2022). Experimental Investigation on Flexural Capacity of Reinforced Concrete Beams Strengthened with 3D-Fiberglass, CFRP and GFRP. International Journal of Concrete Structures and Materials . Vol. 16.
Shabani, Amirhosein; Kioumarsi, Mahdi (2022). A novel macroelement for seismic analysis of unreinforced masonry buildings based on MVLEM in OpenSees. 19 p. Journal of Building Engineering . Vol. 49.
