conference

Dear Colleagues,

We invite you to submit a paper to the 2020 Society for Experimental Mechanics (SEM) Annual Meeting in one of the many sessions in the Fatigue and Fracture Track. See below for further information on these sessions, and please forward this to others who may be interested.

Dear iMechanica colleagues,

We would like to invite you to submit a contribution for the Minisymposium on “Analysis and Methods for the Simulation of Deformation, Failure and Coupled Processes Across Scales” (description below), organized for the 2020 International Conference of the Engineering Mechanics Institute, April 24-26, at Durham, UK.

Details for the conference can be found on the conference website: https://sites.durham.ac.uk/emi2020-ic/ 

Civil-Engineering-2020

International Conference and Expo on

Urban and Civil Engineering

June 15-16, 2020 | Montreal, Canada

Theme:

“New and Innovative Solutions for Urban

and Civil Engineering to Defensible Natural Calamities”

http://outlookconferences.com/civil-engineering-2020/index.php

Dear colleagues,

We would like to invite you to participate at the International Symposium on Leading Edge Erosion of Wind Turbine Blades, which will take place February 4-6, 2020, in the Niels Bohr Auditorium, DTU Risø Campus, Roskilde, Denmark.

The ASME Applied Mechanics Division (AMD) Technical Committee for Experimental Mechanics is soliciting oral-only student presentations across four topic areas:

•    11-13: Quantitative Visualization in Fracture & Fatigue
•    11-15: Mechanical Characterization in Extreme Environments
•    11-17: Mechanics of Adhesion and Friction
•    11-18: In-Situ Techniques in Experimental Mechanics

We are glad to announce the International Symposium Recent Advances in Mechanics of Solids and Structures in honour of Prof. Davide Bigoni's 60th birthday.
The event will be held in Trento on June 6-7, 2019.

Dear Colleagues and Friends,

In this short course, we will introduce the participants to the latest efforts on data-driven methods for mechanical and material sciences. The course will cover topics on
1. mechanistic data-driven clustering methods, direct and reduced order modeling techniques,
2. physics-informed neural networks, multi-fidelity Gaussian processes,
3. deep material networks and multiscale material failure analysis.
Some benchmarks on nano-polymer composites, polymer matrix composites, additive manufactured alloys will be demonstrated. For more details, please visit the website, http://15.usnccm.org/sc15-005.