An insight on NURBS based isogeometric analysis, its current status and involvement in mechanical applications

V Gupta, A Jameel, SK Verma, S Anand… - Archives of Computational …, 2023 - Springer
The current communication is a state-of-the-art review of the recently developed
Isogeometric analysis and its various applications such as structural, thermal, fluid–structure …

Mathematical analysis of variational isogeometric methods

LB Da Veiga, A Buffa, G Sangalli, R Vázquez - Acta Numerica, 2014 - cambridge.org
This review paper collects several results that form part of the theoretical foundation of
isogeometric methods. We analyse variational techniques for the numerical resolution of …

[图书][B] Numerical models for differential problems

A Quarteroni, S Quarteroni - 2009 - Springer
Alfio Quarteroni Third Edition Page 1 MS&A – Modeling, Simulation and Applications 16
Numerical Models for Di erential Problems Alfio Quarteroni Third Edition Page 2 MS&A Volume …

[HTML][HTML] A new design for the implementation of isogeometric analysis in Octave and Matlab: GeoPDEs 3.0

R Vázquez - Computers & Mathematics with Applications, 2016 - Elsevier
Abstract GeoPDEs (http://rafavzqz. github. io/geopdes) is an Octave/Matlab package for the
solution of partial differential equations with isogeometric analysis, first released in 2010. In …

Overcoming membrane locking in quadratic NURBS-based discretizations of linear Kirchhoff–Love shells: CAS elements

H Casquero, KD Mathews - Computer Methods in Applied Mechanics and …, 2023 - Elsevier
Quadratic NURBS-based discretizations of the Galerkin method suffer from membrane
locking when applied to Kirchhoff–Love shell formulations. Membrane locking causes not …

Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions

GH Teichert, AR Natarajan, A Van der Ven… - Computer Methods in …, 2019 - Elsevier
The free energy of a system is central to many material models. Although free energy data is
not generally found directly, its derivatives can be observed or calculated. In this work, we …

Multiscale finite element calculations in Python using SfePy

R Cimrman, V Lukeš, E Rohan - Advances in Computational Mathematics, 2019 - Springer
SfePy (simple finite elements in Python) is a software for solving various kinds of problems
described by partial differential equations in one, two, or three spatial dimensions by the …

Machine learning materials physics: Multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures

X Zhang, K Garikipati - Computer Methods in Applied Mechanics and …, 2020 - Elsevier
Many important multi-component crystalline solids undergo mechanochemical spinodal
decomposition: a phase transformation in which the compositional redistribution is coupled …

An isogeometric phase–field based shape and topology optimization for flexoelectric structures

J López, N Valizadeh, T Rabczuk - Computer Methods in Applied …, 2022 - Elsevier
For considering topological changes in a CAD-based framework, an isogeometric phase-
field based shape and topology optimization is developed. In this case, the diffuse interface …

Simulating air blast on concrete structures using the volumetric penalty coupling of isogeometric analysis and peridynamics

S Shende, M Behzadinasab, G Moutsanidis… - … Models and Methods …, 2022 - World Scientific
A stabilized Isogeometric formulation of compressible flows is coupled to a large-
deformation inelastic solid with an M7 Microplane constitutive model of concrete failure …