Tutkija Mohammad Dabiri

E-mail: Mohammad.Dabiri@lut.fi

Current Organisation
Laboratory of Steel Structures (Superior organisation: Laboratory of Mechanical Engineering)

Research Interest
The main area of my research is the fatigue and fracture of Ultra High Strength Steels (UHSS) and their weldments. This assessment covers the analyses from microstructural point of view to the macroscale where the microstructure does not have a big influence on the components failure. The concepts of fatigue and fracture will be applied through the experiments and numerical simulations. Methods, such as crystal plasticity finite element modeling, continuum finite element analysis, and stress/strain based approaches are used.

Publications
Go to first page Go to previous page 1 of 2 Go to next page Go to last page
Fatigue characteristics of steels manufactured by selective laser melting (2019)
A1 Journal article (refereed), original research
Afkhami Shahriar, Dabiri Mohammad, Alavi S. Habib, et al.
International Journal of Fatigue
Evaluation of Strain–Life Fatigue Curve Estimation Methods and Their Application to a Direct-Quenched High-Strength Steel (2018)
A1 Journal article (refereed), original research
Dabiri Mohammad, Ghafouri Mehran, Rohani Raftar Hamidreza, et al.
Journal of Materials Engineering and Performance
Utilizing the theory of critical distances in conjunction with crystal plasticity for low-cycle notch fatigue analysis of S960 MC high-strength steel (2018)
A1 Journal article (refereed), original research
Dabiri Mohammad, Lindroos Matti, Andersson Tom, et al.
International Journal of Fatigue
Effect of GMAW Heat Input on the Microstructure and Mechanical and Fatigue Behavior of Dissimilar Welds of Ultrahigh Strength Steel and Duplex Stainless Steel (2017)
A4 Conference proceedings
Kashani Hamed Tasalloti, Dabiri Mohammad, Kah Paul, et al.
ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering : Volume 4: Materials Technology
Estimation of stress concentration factor in butt and T-welded joints utilizing artificial neural network-based models (2017)
A1 Journal article (refereed), original research
Dabiri Mohammad, Ghafouri Mehran, Björk Timo
Rakenteiden Mekaniikka
Fatigue analysis of notched specimens made of direct-quenched ultra-high-strength steel under constant amplitude loading (2017)
A4 Conference proceedings
Dabiri Mohammad, Björk Timo
Procedia Structural Integrity
Utilizing artificial neural networks for stress concentration factor calculation in butt welds (2017)
A1 Journal article (refereed), original research
Dabiri Mohammad, Ghafouri Mehran, Rohani Raftar Hamidreza, et al.
Journal of Constructional Steel Research
Effect of side grooves on plane stress fracture behavior of compact tension specimens made of ultra-high strength steel (2016)
A4 Conference proceedings
Dabiri Mohammad, Skriko Tuomas, Amraei Mohsen, et al.
Key Engineering Materials
Effects of fabrication processes on the deformation capacity of S960 ultra-high strength steel (2016)
A1 Journal article (refereed), original research
Amraei Mohsen, Dabiri Mohammad, Björk Timo, et al.
Journal of Manufacturing Science and Engineering
Experimental fatigue characterization and finite element analysis of elasto-plastic behavior of notched specimens made of direct-quenched ultra-high strength steel (2016)
A1 Journal article (refereed), original research
Dabiri Mohammad, Isakov Matti, Skriko Tuomas, et al.
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science




Last updated on 2020-01-01 at 04:04