Meshfree session at IMECE: abstracts due July 13

​On behalf of the Topic Organizers, it is our pleasure to invite you to present your research work in Session 12-28: Recent Advances and Applications in Meshfree and Particle Methods at IMECE 2020, which will be held in Oregon Convention Center, Portland, Oregon, November 16-19, 2020.

This is a friendly reminder that the deadline for abstract submission to IMECE 2020 is July 13, 2020 (no extension). Please submit your abstracts to thematic session 12-28: Recent Advances and Applications in Meshfree and Particle Methods using the IMECE 2020 website:  https://event.asme.org/IMECE

We appreciate your positive responses and look forward to meeting you at IMECE 2020. If you cannot participate this time, please kindly recommend our session to your colleagues or students.
 
This mini-symposium aims to bring together experts working on these methods, share
research results and identify the emergent needs towards more rapid progress in advancing the important fields of meshfree and particle methods. Topics of interest for this mini-symposium include, but are not limited to the following:
Recent advances in meshfree, Peridynamics, material point methods, and smoothed particle hydrodynamics Recent advances in formulations for extreme material distortion, fragmentation, contact and impact, and material instability Recent advances in numerical integration Characterization and stabilization of numerical instabilities Strong form collocation meshfree methods Simulations involving multiple and coupled physics Simulations involving multiple time and/or length scales Simulation of multi-phase interactions Simulation of structural responses to extreme loading Simulation of microstructural behavior and microstructure evolution Simulation of manufacturing processes Simulation of bio and nanomechanics and material system responses Applications of meshfree methods to simulation of natural disasters Nonlocal mechanics and computation New applications for which meshfree and particle methods are superior to conventional mesh-based methods Parallel-computing, scalable algorithms, and large-scale simulations  

Organizers
J. S. Chen, University of California, San Diego, USA, js-chen@ucsd.edu
Sheng-Wei Chi, University of Illinois, USA, swchi@uic.edu
Mike Hillman, Pennsylvania State University, USA, mhillman@engr.psu.edu
C. T. Wu, Livermore Software Technology Corporation, USA, ctwu@lstc.com