Blog posts
On the elastocaloric effect in CuAlBe shape memory alloys: A quantitative phase-field modeling approach
C. Cissé and M. Asle Zaeem. On the elastocaloric effects in CuAlBe shape memory alloys: A quantitative phase-field modeling approach. Computational Materials Science 183 (2020) 109808 (12 pages).
Research Software Engineer (RSE) position
Inline virtual qualification from 3D X-ray imaging for high-value manufacturing
2.5-year Research Software Engineer (RSE) opportunity, Closing date: 18 June 2020.
https://ibsim.page.link/RSE-Jun20
This research opportunity is a joint project with partners Diamond Light Source and UK Atomic Energy Authority (aka CCFE).
Mechanobiology predicts raft formations triggered by ligand-receptor activity across the cell membrane
Carotenuto A., Lunghi L., Piccolo V., Babaei M., Dayal K., Pugno N. M., Zingales M., Deseri L.*, Fraldi M. Mechanobiology predicts raft formations triggered by ligand-receptor activity across the cell membrane, Journal of the Mechanics and Physics of Solids 141 (2020) 103974 https://doi.org/10.1016/j.jmps.2020.103974
*Corresponding Author
Postdoc Position in “Multi-Scale Modeling of Composites”
A postdoctoral position in “Multi-Scale Modeling of Composites” is available in Tehrani Group in the Walker Department of Mechanical Engineering at UT Austin. The position starts in August 2020. The required qualifications for this position are as follows:
· Acquired a Ph.D. in Mechanical Engineering or a closely related field before the position start date.
PhD position in modeling of the interaction between phase transformations and plasticty
PhD position(s) is available immediately in the Engineering Mechanics program in Aerospace Engineering Department at Iowa State University to perform theoretical and computational part of work on NSF-funded projects on the interaction between phase transformations and plasticity. Phase-field, micromechanical, and macroscale simulations using FEM are of interest, in close collaboration with experiments. Please send vita to Prof.
SciANN: Scientific computations and physics-informed deep learning using artificial neural networks
Interested in deep learning, scientific computations, solution, and inversion methods for PDE?
Check out the preprint at:
https://www.researchgate.net/publication/341478559_SciANN_A_Keras_wrapp…
Some problems are shared in our GitHub repository on how to use sciann for inversion and forward solution of:
A possible link between brittle and ductile failure by viewing fracture as a topological defect
Amit Acharya
(to appear in Comptes Rendus Mécanique)
A continuum model of fracture that describes, in principle, the propagation and interaction of
arbitrary distributions of cracks and voids with evolving topology without a 'fracture criterion'
is developed. It involves a 'law of motion' for crack-tips, primarily as a kinematical consequence
coupled with thermodynamics. Fundamental kinematics endows the crack-tip with a topological
charge. This allows the association of a kinematical conservation law for the charge, resulting
in a fundamental evolution equation for the crack-tip field, and in turn the crack fi eld. The
vectorial crack field degrades the elastic modulus in a physically justi fied anisotropic manner.
The mathematical structure of this conservation law allows an additive 'free' gradient of a scalar
field in the evolution of the crack field. We associate this naturally emerging scalar fi eld with the
porosity that arises in the modeling of ductile failure. Thus, porosity-rate gradients aff ect the
evolution of the crack- field which, then, naturally degrades the elastic modulus, and it is through
this fundamental mechanism that spatial gradients in porosity growth aff ect the strain-energy
density and stress carrying capacity of the material - and, as a dimensional consequence related
to fundamental kinematics, introduces a length-scale in the model. A key result of this work is
that brittle fracture is energy-driven while ductile fracture is stress-driven; under overall shear
loadings where mean stress vanishes or is compressive, shear strain energy can still drive shear
fracture in ductile materials.
Recruitment of School of Aerospace Engineering (Xi’an Jiaotong University, China)
Recruitment Now！
School of Aerospace Engineering of Xi’an Jiaotong University (China) continues to recruit faculty members globally. Welcome talents to join us!
◆ Xi’an Jiaotong University（XJTU）
Fractional-order nonlinear hereditariness of tendons and ligaments of the human knee
By Emanuela Bologna, Mario Di Paola, Kaushil Dayal, Luca Deseri and Massimiliano Zingales.
In this paper the authors introduce a nonlinear model of fractional-order hereditariness used to capture experimental data obtained on human tendons of the knee. Creep and relaxation data on fibrous tissues have been obtained and fitted with logarithmic relations that correspond to power-laws with nonlinear dependence of the coefficients. The use of a proper nonlinear transform allows one to use Boltzmann superposition in the transformed variables yielding a fractional-order model for the nonlinear material hereditariness. The fundamental relations among the nonlinear creep and relaxation functions have been established, and the results from the equivalence relations have been contrasted with measures obtained from the experimental data. Numerical experiments introducing polynomial and harmonic stress and strain histories have been reported to assess the provided equivalence relations.
This article is part of the theme issue ‘Advanced materials modelling via fractional calculus: challenges and perspectives’ on Philosophical Transactions of the Royal Society A.
Bologna E, Di Paola M, Dayal K, Deseri L, Zingales M. 2020 Fractional-order nonlinear hereditariness of tendons and ligaments of the human knee. Phil. Trans. R. Soc. A 378: 20190294.
http://dx.doi.org/10.1098/rsta.2019.0294