Inverse Modelling of Material Parameters for Rubber-like material: Create a New Methodology of Predicting the Material Parameters using Indentation Bending Test
type: CreativeWork
description: Rubber-like materials and thin membrane materials have been widely used in industries, such as engineering fields and biomedical fields. The mechanics of membranes and material parameters identification is an important research area. In this work, different inverse FE modelling approaches to extract material parameters (Ogden model) has been assessed supported by several newly developed programs in producing or analysing the data. The effects of new material properties (e.g. negative Poisson’s ratio) are also studied. In this work, the use of inverse FE modelling and indentation bending test for material property identification has been systematically studied. A parametric FE model has been developed and validated simulating the indentation bending tests of thin latex rubber samples made in the laboratory. Rubber samples were tested in standard uniaxial tensile, planar tests, the hyperelastic material parameters are determined and used as the target for an inverse materials parameter identification program. An ABAQUS add-on program has been developed to automatically update the material parameters and extract the force-displacement data. Simulation spaces over a wide range of material parameters have been developed, which successfully provided the numerical data for the inverse approach for material property prediction. Different curve analysis approaches in representing the force-displacement curve have been proposed including (1) using ratio of P/h3 for the low load region, (2) using the effective slope at higher load and (3) using the second order polynomial curve fitting parameters. The result shows that use of these curve fitting parameters could effectively simplify the inverse FE modelling process and allow the use of surface plot equations to establish a mathematical relationship between curve coefficients and material parameters. These relationships could effectively open up the possibility of improving the uniqueness of inversely predicted material propert…
abstract: Rubber-like materials and thin membrane materials have been widely used in industries, such as engineering fields and biomedical fields. The mechanics of membranes and material parameters identification is an important research area. In this work, different inverse FE modelling approaches to extract material parameters (Ogden model) has been assessed supported by several newly developed programs in producing or analysing the data. The effects of new material properties (e.g. negative Poisson’s ratio) are also studied. In this work, the use of inverse FE modelling and indentation bending test for material property identification has been systematically studied. A parametric FE model has been developed and validated simulating the indentation bending tests of thin latex rubber samples made in the laboratory. Rubber samples were tested in standard uniaxial tensile, planar tests, the hyperelastic material parameters are determined and used as the target for an inverse materials parameter identification program. An ABAQUS add-on program has been developed to automatically update the material parameters and extract the force-displacement data. Simulation spaces over a wide range of material parameters have been developed, which successfully provided the numerical data for the inverse approach for material property prediction. Different curve analysis approaches in representing the force-displacement curve have been proposed including (1) using ratio of P/h3 for the low load region, (2) using the effective slope at higher load and (3) using the second order polynomial curve fitting parameters. The result shows that use of these curve fitting parameters could effectively simplify the inverse FE modelling process and allow the use of surface plot equations to establish a mathematical relationship between curve coefficients and material parameters. These relationships could effectively open up the possibility of improving the uniqueness of inversely predicted material propert…
author: Seng, JAC
keywords: TA Engineering (General). Civil engineering (General)
date published: 2015
date modified: 2026-07-24T06:30:00Z
provider: Liverpool Jon Moores University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Liverpool John Moores University

PropertyValue
property ID: DOI
value: 10.24377/LJMU.t.00004514