A NURBS-based inverse analysis of swelling induced morphing of thin stimuli-responsive polymer gels

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • N. Vu-Bac
  • T. Rabczuk
  • H. S. Park
  • X. Fu
  • X. Zhuang

Externe Organisationen

  • Tongji University
  • Bauhaus-Universität Weimar
  • Boston University (BU)
  • Xi'an Modern Chemistry Research Institute
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer115049
FachzeitschriftComputer Methods in Applied Mechanics and Engineering
Jahrgang397
Frühes Online-Datum31 Mai 2022
PublikationsstatusVeröffentlicht - 1 Juli 2022

Abstract

Gels are a mixture of cross-linked polymers and solvents, and have been widely studied in recent years for a diverse range of biomedical applications. Because gels can undergo large, reversible shape changes due to swelling, their complex physical response must be modeled by coupling large reversible deformation and mass transport. An ongoing challenge in this field is the ability to capture swelling or residual swelling-induced of such stimuli-responsive gels from initially flat two-dimensional (2D) to three-dimensional (3D) curved shapes. Specifically, because such shape changes typically involve large deformations, shape changes, and the exploitation of elastic instabilities, it remains an open question as to what external stimulus should be prescribed to generate a specific target shape. Therefore, we propose a novel formulation that tackles, using both nonlinear kinematics and material models, the coupling between elasticity and solvent transport using Kirchhoff–Love shell theory discretized using isogeometric analysis (IGA). Second, we propose an inverse methodology that chemomechanically couples large deformation and mass transport to identify the external stimuli prescribed to generate a specific target shape. Our numerical examples demonstrate the capability of identifying the required external stimuli, with the implication that the reconstructed target shapes are accurate, including cases where the shape changes due to swelling involve elastic instabilities or softening. Overall, our study can be used to effectively predict and control the large morphological changes of an important class of stimuli-responsive materials.

ASJC Scopus Sachgebiete

Zitieren

A NURBS-based inverse analysis of swelling induced morphing of thin stimuli-responsive polymer gels. / Vu-Bac, N.; Rabczuk, T.; Park, H. S. et al.
in: Computer Methods in Applied Mechanics and Engineering, Jahrgang 397, 115049, 01.07.2022.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Vu-Bac N, Rabczuk T, Park HS, Fu X, Zhuang X. A NURBS-based inverse analysis of swelling induced morphing of thin stimuli-responsive polymer gels. Computer Methods in Applied Mechanics and Engineering. 2022 Jul 1;397:115049. Epub 2022 Mai 31. doi: 10.1016/j.cma.2022.115049
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abstract = "Gels are a mixture of cross-linked polymers and solvents, and have been widely studied in recent years for a diverse range of biomedical applications. Because gels can undergo large, reversible shape changes due to swelling, their complex physical response must be modeled by coupling large reversible deformation and mass transport. An ongoing challenge in this field is the ability to capture swelling or residual swelling-induced of such stimuli-responsive gels from initially flat two-dimensional (2D) to three-dimensional (3D) curved shapes. Specifically, because such shape changes typically involve large deformations, shape changes, and the exploitation of elastic instabilities, it remains an open question as to what external stimulus should be prescribed to generate a specific target shape. Therefore, we propose a novel formulation that tackles, using both nonlinear kinematics and material models, the coupling between elasticity and solvent transport using Kirchhoff–Love shell theory discretized using isogeometric analysis (IGA). Second, we propose an inverse methodology that chemomechanically couples large deformation and mass transport to identify the external stimuli prescribed to generate a specific target shape. Our numerical examples demonstrate the capability of identifying the required external stimuli, with the implication that the reconstructed target shapes are accurate, including cases where the shape changes due to swelling involve elastic instabilities or softening. Overall, our study can be used to effectively predict and control the large morphological changes of an important class of stimuli-responsive materials.",
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note = "Funding Information: The authors gratefully acknowledge the support of the ERC Starting Grant (802205) from European Union and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453). Professor Krister Svanberg from Royal Institute of Technology is acknowledged gratefully for providing the MMA code used in this study. ",
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AU - Vu-Bac, N.

AU - Rabczuk, T.

AU - Park, H. S.

AU - Fu, X.

AU - Zhuang, X.

N1 - Funding Information: The authors gratefully acknowledge the support of the ERC Starting Grant (802205) from European Union and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453). Professor Krister Svanberg from Royal Institute of Technology is acknowledged gratefully for providing the MMA code used in this study.

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N2 - Gels are a mixture of cross-linked polymers and solvents, and have been widely studied in recent years for a diverse range of biomedical applications. Because gels can undergo large, reversible shape changes due to swelling, their complex physical response must be modeled by coupling large reversible deformation and mass transport. An ongoing challenge in this field is the ability to capture swelling or residual swelling-induced of such stimuli-responsive gels from initially flat two-dimensional (2D) to three-dimensional (3D) curved shapes. Specifically, because such shape changes typically involve large deformations, shape changes, and the exploitation of elastic instabilities, it remains an open question as to what external stimulus should be prescribed to generate a specific target shape. Therefore, we propose a novel formulation that tackles, using both nonlinear kinematics and material models, the coupling between elasticity and solvent transport using Kirchhoff–Love shell theory discretized using isogeometric analysis (IGA). Second, we propose an inverse methodology that chemomechanically couples large deformation and mass transport to identify the external stimuli prescribed to generate a specific target shape. Our numerical examples demonstrate the capability of identifying the required external stimuli, with the implication that the reconstructed target shapes are accurate, including cases where the shape changes due to swelling involve elastic instabilities or softening. Overall, our study can be used to effectively predict and control the large morphological changes of an important class of stimuli-responsive materials.

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