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Journal Club for June 2023: A perspective on the role of machine learning in constitutive modeling and computational mechanics

Submitted by nbouklas on


Introduction


The purpose of this blog post is to briefly outline a perspective on the emerging opportunities and challenges that arise as the field of Machine Learning (ML) is quickly driving the development of tools that are becoming mainstream in the study of solid mechanics and computational mechanics, with a focus on constitutive modeling. By no means is this a complete review of ML-enabled constitutive modeling.



Background on Scientific Machine Learning (SciML)

A joint #PhD with IIT Ropar and IIT Mandi on Mechanical characterization of discontinuities in material's microstructure

Submitted by hermatician on

#Apply for a joint #PhD with IIT Ropar and IIT Mandi on "Mechanical characterization of discontinuities in material's microstructure "
The brief description is given below.

Opening for Post-Doctoral Associate in Machine Learning for Computational Mechanics

Submitted by rbsills on

The microMechanics of Deformation Research Group (mMOD) in the Department of Materials Science and Engineering at Rutgers University is seeking a Post-Doctoral Associate to perform research as part of an NSF CAREER award project aimed at understanding the fundamentals of fracture in metals. Research tasks will include the development of a machine learning framework for training surrogate models which couples with the finite element method and analyzing large atomistic simulation datasets.

Post-Doc position at MSU - Multi-axis vibrations

Submitted by joodaky on

We are currently seeking a highly motivated candidate for a Post-Doc position in the School of Packaging at MSU. The focus of this position will be on studying the multi-axis vibrations experienced by packages during transportation. This research will involve utilizing various tools and techniques such as a multi-axis shaker, acceleration sled, FEM simulations, nonlinear models, and more. To be considered for this position, the ideal candidate should possess the following qualifications:

Universal Displacements in Inextensible Fiber-Reinforced Linear Elastic Solids

Submitted by arash_yavari on

For a given class of materials, universal displacements are those displacements that can be maintained for any member of the class by applying only boundary tractions. In this paper we study universal displacements in compressible anisotropic linear elastic solids reinforced by a family of inextensible fibers. For each symmetry class and for a uniform distribution of straight fibers respecting the corresponding symmetry we characterize the respective universal displacements. A goal of this paper is to investigate how an internal constraint affects the set of universal displacements.

Article: Interaction of two cylinders immersed in a viscous fluid. On the effect of moderate Keulegan–Carpenter numbers on the fluid forces

Submitted by lagrangr on

This work deals with the hydrodynamic interaction of two parallel circular cylinders, with identical radii, immersed in a viscous fluid initially at rest. One cylinder is stationary while the other one is imposed a harmonic motion with a moderate amplitude of vibration. The direction of motion is parallel to the line joining the centers of the two cylinders. The two dimensional fluid–structure problem is numerically solved by the Arbitrary Lagrangian–Eulerian method implemented in the open-source CFD code TrioCFD.