There are PhD positions at RAD Lab in the Department of Mechanical and Industrial Engineering at New
Jersey Institute of Technology (NJIT). The focus of the research will be on creating novel computational
and theoretical models for the dynamics of complex fluids with particular emphasis on particle-laden multiphase flows and biological flows of active matter in the living systems.
In this paper, we apply the previously developed Method of Memory Diagrams (MMD) to the description of an axisymmetric mechanical contact with friction subject to random vibrations. The MMD belongs to a family of semi-analytical methods of contact mechanics originating from the classical Cattaneo-Mindlin solution; it allows one to efficiently compute mechanical and energetic responses to complex excitation signals such as random or acoustic ones.
The ever-increasing growth of nano-technology has elevated the necessity for development of new computational methods that are capable of evaluating large systems at nano-scale. The existing techniques, such as the molecular dynamics, lack the ability to simulate large systems of practical size and time scales. In order to provide a realistic simulation of large models, the multi-scale methods such as coarse-graining, have therefore become very popular. The coarse-grained models have mostly been used to simulate large biomolecules, such as proteins, lipids, DNA and polymers.
The U.S. National Committee for TAM is pleased to share its Fall 2019 Newsletter, an annual publication that will be issued each fall.
Developing an accurate nonlinear reduced order model from simulation data has been an outstanding research topic for many years. For many physical systems, data collection is very expensive and the optimal data distribution is not known in advance. Thus, maximizing the information gain remains a grand challenge. In a recent paper, Bhattacharjee and Matous (2016) proposed a manifold-based nonlinear reduced order model for multiscale problems in mechanics of materials. Expanding this work here, we develop a novel sampling strategy based on the physics/pattern-guided data distribution.
In nonlinear elasticity, universal deformations are the deformations that exist for arbitrary strain-energy density functions and suitable tractions at the boundaries. Here, we discuss the equivalent problem for linear elasticity. We characterize the universal displacements of linear elasticity: those displacement fields that can be maintained by applying boundary tractions in the absence of body forces for any linear elastic solid in a given anisotropy class.
ICMCE 2020 conference. http://icmce.org
9th International Conference on Mechatronics and Control Engineering (ICMCE 2020) will be held in Rome, Italy on July 22-24, 2020.
Contact Person:
Advertising the first fully funded PhD position in my group: this position is for the more computationally/mathematically inclined. Goal: method development.
A "general audience" summary of a recent application of our work: https://www.youtube.com/watch?v=cWTWHhMAu7I
Details about the position: https://vacature.beta.tudelft.nl/vacaturesite/permalink/287309/?lang=en
Dear Colleagues,
During the ASME-IMECE next week, the Materials Division will host a number of events including plenary lectures, award lectures, and reception. You are cordially invited to these events.
Track 10 Plenary Sessions:
Zhigang Suo – Tuesday, Nov. 12th, 9:45–10:30 am, Room 255F, Convention Center
Irene Beyerlein – Wednesday, Nov. 13th, 9:45–10:30 am, Room 155F, Convention Center
Award Lectures/Reception (Tuesday, November 12):
