4 papers
Multiscale Materials Modelling through Machine Learning: Hydrogen-Steel Interaction during Deformation
M. Amir Siddiq
This short paper presents the potential of using machine learning to predict materials behaviour in the context of hydrogen interaction with steel. Effort has been made to understa…
Data Driven Finite Element Method: Theory and Applications
M. Amir Siddiq
A data driven finite element method (DDFEM) that accounts for more than two material state variables has been presented in this work. DDFEM framework is motivated from (1,2) and ca…
A Multiscale Constitutive Model for Metal Forming of Dual Phase Titanium Alloys by Incorporating Inherent Deformation and Failure Mechanisms
Umair Bin Asim, M Amir Siddiq, Robert M McMeeking +1
Ductile metals undergo a considerable amount of plastic deformation before failure. Void nucleation, growth and coalescence is the mechanism of failure in such metals. α/β titanium…
Hydrogen Enhanced Intergranular Cracking -- A Phenomenological Multiscale Constitutive Model
M Amir Siddiq, Salah Rahimi
Hydrogen enhanced cracking is one of the many failure mechanisms in metals depending on the corrosive environment. In the presented work, a multiscale constitutive model has been p…