Research Associate in Bridge Engineering
University of Sheffield - Faculty of Engineering - Department of Civil and Structural Engineering
Are you interested in developing next generation modelling techniques for masonry arch bridges, which continue to form a crucial part of our transport infrastructure?
PhD positions are available at the University of Minnesota in the group of Prof. Stefano Gonella. The positions are in the general area of mechanics and physics of solids, with emphasis on mechanical and elastic metamaterials, architected solids and wave physics. Current topics of interest include: Topological metamaterials; Tunable and programmable metastructures; Mechanics of cellular multilayer materials; Multiphysical interactions of vibrating metastructures.
S-Lab (https://sites.ji.sjtu.edu.cn/jaehyungju/) is looking for a highly qualified postdoc to work in mechanical metamaterials, 4D printing, and soft robotics. The ideal candidate will conduct independent and supervised research, perform tasks on experimental, theoretical, and modeling/simulation projects, write reports, submit deliverables to sponsors, publish papers, lead collaborative projects, and supervise graduate and undergraduate students and proposal preparation.
We introduce a generalized methodology to uncover all mechanical couplings in 2D lattice geometries by obtaining the decoupled micropolar elasticity tensor. We also correlate the mechanical couplings with the point groups of 2D lattices by applying the symmetry operation to the decoupled micropolar elasticity tensor. The decoupled micropolar constitutive equation reveals eight mechanical coupling effects in planar solids, four of which are discovered for the first time in the mechanics' community.
The College of Engineering at Boston University has embarked on a bold new strategic plan that will pursue excellence and impact along convergent themes: (1) Intelligent, Autonomous and Secure Systems, (2) Synthetic Biology, Tissue Engineering and Mechanobiology, (3) Energy, Sustainability and Climate, (4) Materials by Design, (5) Photonics and Optical Systems, and (6) Neuroengineering, Neuroinformatics, and Neuroscience.
Join Synopsys Simpleware software, CYBERNET Multiscale.Sim, and Shimadzu Corporation for a webinar on Thursday, October 13th, 2022 on composite material analysis integrated actual testing and CAE.
Learn more and register here: https://register.gotowebinar.com/rt/204553566873541131?source=iMechanica
Solving topology optimization problem is very computationally demanding especially when high resolution results are sought for. In the present work, a problem-independent machine learning (PIML) technique is proposed to reduce the computational time associated with finite element analysis (FEA) which constitutes the main bottleneck of the solution process.
I would like to draw your attention to our recently proposed predictive method based on a semi-empirical model (LEFM) and Neural Network, exploiting the Physics-informed Machine Learning concept. We show how the accuracy of state-of-the-art fatigue predictive models, based on defects present in materials, can be significantly boosted by accounting for additional morphological features via Physics-Informed Machine Learning.
A post-doctoral position in the general area of material science and mechanics related to wire arc additive manufacturing (WAAM) is available in the Mechanical Engineering Department at Northeastern University, Boston, MA. The aim of the work is to investigate the thermomechanical causes of residual stresses and to assess the general build quality by experimental and modeling approaches. FLIR and other non-contact measurement techniques will be used for in-situ process monitoring. XRD will be used to assess residual stresses.
