My research group has two RA positions openings in the near term.
One position is in the area of experimental mechanobiology, where we develop force sensors, measure mechanical force history of cells and tissues in vitro, and correlate the force history to cell functions. We target this RA position to be filled in Spring 2020.
Postdoc positions are available in the group of Prof. JG Zhu at Jiangsu University, Zhenjiang, China. Those possessing PhDs in the area of solid experimental mechanics are sought. We are particularly interested in candidates with experience in experimental measurements and nondestructive techniques.
Postdoc positions are available in the group of Prof. JG Zhu at Jiangsu University, Zhenjiang, China. Those possessing PhDs in the area of solid experimental mechanics are sought. We are particularly interested in candidates with experience in deformation measurements and nondestructive techniques.
Just had a statement from a reviewer that Fractals in Tribology is a dead Topic !! There were comments also indicating that the review, in a major Tribology Journal, was cut and paste from Wikipedia (let alone that it is was apparently performed by a graduate student??
Have you encountered a similar experience?? is the quality of the peer-review process declining???
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.
