Norwegian version
Mahdi Kioumarsi

Mahdi Kioumarsi

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

Norway

Research projects

  • HYPERION project

    HYPERION will produce a comprehensive tool to assess threats of climate change in tandem with other natural hazards to cultural heritage sites.

  • Net-Zero Future

    To enable a rapid global movement toward the built environmentʼs carbon footprint reduction, this project will initiate an international alliance to coordinate and perform research, educational, and outreach activities to realize net-zero built structures.

  • TRANSFORM

    Advanced Materials and Technologies for Sustainable and Resilient Structures: Global Solutions through Adaptable Educational Modules.

Scientific publications

Azarhomayun, Fazel; Haji, Mohammad; Shekarchi, Mohammad; Kioumarsi, Mahdi (2023). Investigating the Effectiveness of the Stable Measurement Tests of Self-Compacting Concrete. Construction and Building Materials . Vol. 383.

Kioumarsi, Mahdi; Dabiri, Hamed; Kandiri, Amirreza; Farhangi, Visar (2023). Compressive strength of concrete containing furnace blast slag; optimized machine learning-based models. Cleaner Engineering and Technology . Vol. 13.

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.

Farahzadi, Leila; Kioumarsi, Mahdi (2022). Intelligent Initiative to Reduce CO2 Emissions in Construction. 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022). 1476. European Community on Computional Methods in Applied Sciences (ECCOMAS).

Kioumarsi, Mahdi; Plevris, Vagelis; Shabani, Amirhosein (2022). Vulnerability assessment of cultural heritage structures. 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022). 487. European Community on Computional Methods in Applied Sciences (ECCOMAS).
https://www.scipedia.com/public/Kioumarsi_et_al_20...

Shabani, Amirhosein; Kioumarsi, Mahdi (2022). Pros and cons of various equivalent frame models for nonlinear analysis of URM buildings. 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022). paper. European Community on Computional Methods in Applied Sciences (ECCOMAS).
https://www.scipedia.com/public/Shabani_Kioumarsi_...

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/...





These publications are obtained from Cristin. The list may be incomplete