Remarkable mechanical properties of biocomposites (bone, teeth, shell, antler etc.) are usually attributed to their special design where staggered mineral platelets are embedded in a protein matrix. Because of the high aspect ratio of the platelet the soft protein deforms in the shear mode predominantly providing the linkage for the hard inclusions. Mimicking Nature one might design materials with a similar architecture.
Article in Proceedings of The Royal Society A 471(2180) · July 2015 DOI: 10.1098/rspa.2015.0271
http://rspa.royalsocietypublishing.org/content/471/2180/20150271.articl…
Hello,
I have a PhD position available for a project titled "Asynchronous, Parallel-Adaptive Solution of Extreme Multiscale Problems in Seismology" funded by the U.S. National Science Foundation (NSF). The research involves:
a. Formulation of contact / fracture models (interfacial and/or bulk) for seismic applications, e.g. anisotropic, inhomogeneous rock under dynamic loads.
b. Adaptive spacetime time discontinuous Galerkin formulation for the solution of multiphysics PDEs relevant to this application.
c. High performance computing aspects of the method.
A position for PhD student (research assistant) is available in the Department of Mechanical Engineering within the Purdue School of Engineering and Technology at Indiana University–Purdue University Indianapolis (IUPUI). The full-support position is available for Spring 2018 or Fall 2018. The projects are focused on conducting computational simulations of various materials, including atomistic and multiscale simulations.
REMINDER: The deadline for nominations for the AMD/ASME awards is September 15th, 2017.
Information and details on each of the awards are provided below.
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Recently developed mathematical tools based on the discrete Fourier transform will enable modeling of fracture phenomenon in materials with periodic hierarchical microstructure.
The postdoc position is for one or two years, and PhD is a usual Phd program. More info on the project is in attached file.
KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy.
We are looking for a PhD candidate to work on numerical modelling of composites manufacturing. Automation drives down the production cost in composites manufacturing. The project focus on self-learning process modelling coupled with real-time pressure field monitoring. The integrated virtual-physical approach aims for : (1) real-time prediction of defect formation, and (2) real-time optimisation of process correction parameters. Self-learning process modelling is the enabling technology towards smart factory.
Remuneration
