Computational Modeling of Intelligent Soft Matter

Computational Modeling of Intelligent Soft Matter

Shape Memory Polymers and Hydrogels

1st Edition - February 15, 2023

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  • Authors: Mostafa Baghani, Majid Baniassadi, Yves Remond
  • Paperback ISBN: 9780443194207
  • eBook ISBN: 9780443194214

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Computational Modelling of Intelligent Soft Matter: Shape Memory Polymers and Hydrogels covers the multi-physics response of various smart polymer materials, such as temperature-sensitive shape memory polymers and temperature/light/chemo-sensitive hydrogels. Several thermo-chemo-mechanical constitutive models for these smart polymers are outlined, with their real-world applications highlighted. The numerical counterpart of each introduced constitutive model is also presented, thus empowering readers to solve practical problems requiring thermomechanical responses of these materials as well as design and analyze real-world structures made from them.

Key Features

  • Introduces constitutive models based on continuum thermodynamics for intelligent soft materials
  • Presents calibration methods for identifying material model parameters as well as finite element implementation of the featured models
  • Allows readers to solve practical problems requiring thermomechanical responses from these materials as well as the design and analysis of real-world structures made from them


Materials science and mechanical engineering researchers and graduate students in the field of soft materials modeling, or constitutive modeling of soft smart materials. Professional materials scientists and engineers

Table of Contents

  • Chapter 1: Intelligent Soft Matters: Need for Numerical Modeling in Design and Analysis (new intro chapter)

    Chapter 2: A Detailed Review on Constitutive Models for Thermo-Responsive Shape Memory Polymers (SMPs)

    1 Introduction

    2 Classification of temperature-dependent polymers

      • Thermoset and thermoplastic polymers
      • The effect of temperature on thermoset and thermoplastic polymers

    3 The molecular structure of SMPs and their classification

      • Chemical structure of SMPs
      • Classification of SMPs

    4 Modeling thermo-responsive SMPs

      • Modeling of conventional thermally-activated SMPs
      • Modeling of two-way thermally-activated SMP
      • Modeling of thermally-activated multi-SMP

    5 Statistical analysis of available SMP models

    Chapter 3: A Review on Constitutive Modeling of pH-Sensitive Hydrogels

    1 Introduction

    2 Swelling/Deswelling Phenomena

      • Conservation of mass
      • Chemical Reaction
      • Ion Transfer
      • Electrical Field
      • Fluid Flow
      • Mechanical Field

    3 Swelling Theories

      • Monophasic Models
      • Multiphasic Models

    4 Numerical implementation

    5 Experiments

    Chapter 4: Experiments on Shape Memory Polymers: Methods of Production, Shape Memory Effect Parameters, and Application

    1 Introduction

    2 Methods of SMP production

    • Melt mixing
    • Solution mixing
    • Additive manufacturing

    3 Shape memory characterization in combined torsion-tension loading

    4 Investigation on structural design of SMPs

    • Structural (geometrical) design
    • Method of sample production
    • Characterization of printed material
    • Thermo-mechanical shape memory tests

    5 SMP stent as an application

    • Materials
    • Stent fabrication
    • Stent radial compression

    Chapter 5: Shape Memory Polymers: Constitutive Modeling, Calibration, and Simulation

    1 Introduction

    2 Macroscopic phase transition approach

      • Strain storage and recovery, and Thermodynamic considerations
      • Extension of the model to the time-dependent regime
      • Numerical solution of the constitutive model
      • Consistent tangent matrix, and large rotation effects
      • Material parameters identification
      • Material model predictions

    3 SMP constitutive model through thermo-viscoelastic approach

      • Strain- and time-dependent part of the stress
      • Temperature-dependent modification of the stress
      • Solution of SMP's response in an SME path
      • A time-discretization scheme for constitutive equations
      • Material Parameters Identification
      • Solutions development for torsion-extension of SMP

    Chapter 6: Shape Memory Polymer Composites: Nano-Composites and Corrugated Structures

    1 Introduction

    2 Modeling and homogenization of SMP nanocomposites

      • Constitutive equations for SMP based on phase transition
      • 3D modeling and numerical considerations
      • Numerical results

    3 Numerical homogenization of coiled CNT reinforced SMP nanocomposites

      • Finite element model
      • Numerical results and discussion

    4 Thermomechanics of SMP beams reinforced by corrugated sections

      • SMP constitutive model based on phase transition concept
      • Bending of a reinforced SMP beam
      • Numerical results and discussion

    Chapter 7: Equilibrium and Transient Swelling of Soft and Tough pH-Sensitive Hydrogels: Constitutive Modeling and FEM Implementation

    1 An equilibrium thermodynamically consistent theory

    2 Transient Electro-chemo-mechanical Swelling Theory

      • Large Deformation theory
      • Chemical Field
      • Electrostatic field
      • Continuity of ions
      • Mechanical field
      • Initial and boundary conditions

    3 Numerical solution procedure

    • Development of weak form
    • Development of time and space discretization
    • Residuals and tangent moduli

    4 Results and discussion

    • Equilibrium swelling
    • Numerical results for transient swelling response of pH-sensitive hydrogels
    • Numerical predictions of the visco-hyperelastic constitutive model for tough pH-sensitive hydrogels

    Chapter 8: Structural Analysis of Smart Hydrogels: Analytical Solutions and Finite Element Modeling

    1 Introduction

    2 Rubber-like materials (elastomers)

    • Constitutive modeling
    • Large Deformations of hyperelastic Materials in mechanical problems

    3 Hydrogels

    • Constitutive modeling of Temperature-, pH-, and Light-sensitive hydrogels
    • Swelling behavior of smart hydrogel under mechanical loadings

    Chapter 9: Structural Analysis of Different Smart Hydrogel Microvalves: The Effect of Fluid-Structure Interaction Modeling

    1 Introduction

    2 Different constitutive models’ description

    • Swelling theory of thermal-sensitive hydrogels
    • A stationary swelling theory for pH-sensitive hydrogels
    • A transient theory for pH-sensitive hydrogels
    • Coupled fields in FSI modeling

    3 Results and discussion

    • Results for FSI analysis of temperature-sensitive hydrogel valves
    • Results for stationary response of pH-sensitive hydrogels

    Transient results of the pH-sensitive hydrogel valve

Product details

  • No. of pages: 382
  • Language: English
  • Copyright: © Elsevier 2023
  • Published: February 15, 2023
  • Imprint: Elsevier
  • Paperback ISBN: 9780443194207
  • eBook ISBN: 9780443194214

About the Authors

Mostafa Baghani

Dr. Mostafa Baghani has been an Associate Professor at the University of Tehran's School of Mechanical Engineering, College of Engineering since 2012. In 2016, he became the director of the University of Tehran's Smart Materials and Structures Lab. In 2018, he was named the top young researcher at the University of Tehran, out of almost 300 professors under the age of 40. In the framework of continuum mechanics, his research focuses on smart material production, design, and constitutive modeling. He has also focused on computer modeling of proposed constitutive models, which are frequently developed using the nonlinear finite element method. He has over 170 journal papers to his credit and has served as a reviewer for over 30 international journals.

Affiliations and Expertise

Associate Professor, School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran

Majid Baniassadi

Dr. Majid Baniassadi is an Associate Professor at the University of Tehran's School of Mechanical Engineering. In 2011, he received his PhD in Materials Mechanics from the University of Strasbourg in France. Multiscale analysis and micromechanics of heterogeneous materials, numerical methods in engineering, and electron microscopy image processing for microstructure identification are among his research interests. Dr. Baniassadi also works with the ICube laboratory in Strasbourg on Engineering Science, Computer Science, and Imaging projects. He has served as an acting editor for the Journal of Energy Equipment and Systems since 2012. He has published over 120 scientific journal publications to date, and he is frequently called for peer evaluating submitted manuscripts as a reviewer for 6 international scientific journals. Since 2008, he has also been a member of the Iranian National Elites Foundation.

Affiliations and Expertise

Associate Professor, School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran

Yves Remond

Prof. Yves Rémond is a Distinguished Professor (Exceptional Class) at Strasbourg University in France. He is working at Icube (Engineering Science, Computer Science, and Imaging Laboratory), which is affiliated with both the University of Strasbourg and the CNRS. He teaches in the fields of continuum mechanics, polymer mechanics, composite materials, and mechano-biology at the European Engineering School of Chemistry, Polymers, and Materials Science (ECPM). He graduated from the Ecole Normale Supérieure de Cachan (now Paris-Saclay) with a degree in mechanics and obtained his PhD from the University Paris VI in 1984. (Pierre et Marie Curie). He has been the Scientific Deputy Director of INSIS, the Institute for Engineering and Systems Sciences, at the CNRS headquarters in Paris since 2012. He was also a member of the Academic Palms Order as an officer. In the fields of composite materials, polymers, and bioengineering, he advised over 30 PhD and Habilitation students and wrote about 150 scholarly papers.

Affiliations and Expertise

Distinguished Professor (Exceptional Class), Icube (Engineering Science, Computer Science, and Imaging Laboratory), Strasbourg University, France

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