Low dimensional nonlinear thermomechanical models describing phase transformations and their applications

Authors:
Roderick Melnik;Olena Tsviliuk;Linxiang Wang
Affiliations:
Wilfrid Laurier University, M2NeT Laboratory, Department of Mathematics, Waterloo, ON, Canada;JSC "RB", Kyiv, Ukraine;Hangzhou Dianzi University, Faculty of Mechanical Engineering, Xiasha, Hangzhou, P.R. China
Venue:
MATH'09 Proceedings of the 14th WSEAS International Conference on Applied mathematics
Year:
2009

Citing 7
Cited 0

Computational models for multi-scale coupled dynamic problems

Future Generation Computer Systems - Special issue: Selected numerical algorithms
Guest editorial: wave phenomena in physics and engineering: New models, algorithms, and applications

Mathematics and Computers in Simulation - Special issue: Wave phenomena in physics and engineering: New models, algorithms, and appications
Applications of fully conservative schemes in nonlinear thermoelasticity: modelling shape memory materials

Mathematics and Computers in Simulation - Special issue: Wave phenomena in physics and engineering: New models, algorithms, and appications
Model reduction applied to square to rectangular martensitic transformations using proper orthogonal decomposition

Applied Numerical Mathematics
Finite element approach to modelling evolution of 3D shape memory materials

Mathematics and Computers in Simulation
Simulation of phase combinations in shape memory alloys patches by hybrid optimization methods

Applied Numerical Mathematics
Coupling control and human factors in mathematical models of complex systems

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

At present, statistical kernel estimators constitute the dominant - in practice - method of nonparametric estimation. It allows the useful characterization of probability distributions without arbitrary assumptions regarding their membership to a fixed ...