scholarly journals Possible use of the hyperelastic material models in numerical analysis of the wood-strand mat compression

2009 ◽  
Vol 57 (4) ◽  
pp. 83-94
Author(s):  
Václav Sebera ◽  
Jan Tippner
Keyword(s):  
Numerical Analysis ◽  
Contact Pressure ◽  
Degrees Of Freedom ◽  
Material Model ◽  
Hyperelastic Material ◽  
Computational System ◽  
Material Models ◽  
Pressing Process ◽  
Hyperelastic Model ◽  
Wood Strand

The main goal of the work was to evaluate a possibility of using various hyperelastic material mo­dels implemented into ANSYS computational system for the numerical analysis of wood-strand mat pressing or wood-based composites. Subsequently, the most suitable hyperelastic model was used as a material model in compression simulation. Pressing itself was modelled as a contact transient ana­ly­sis with wood-strand mat being defined as a homogenous and isotropic continuum with the chosen material model. In the analysis only displacement degrees of freedom are considered. Output of the simulation is a contact pressure, which is necessary to apply to compress the mat on the required height. The analysis serves as a take-off platform for further research in wood-based com­po­si­tes pressing process.

Numerical Analysis of the Influence of Material Model on Response of Compressed Imperfect Thin-Walled Channel

2014 ◽  
Vol 611 ◽  
pp. 188-193 ◽  
Author(s):  
Vladimír Ivančo ◽  
Gabriel Fedorko ◽  
Ladislav Novotný
Keyword(s):  
Finite Element ◽  
Numerical Analysis ◽  
Model Selection ◽  
Finite Element Model ◽  
Material Model ◽  
Element Model ◽  
Material Models ◽  
Geometric Imperfections ◽  
Walled Channel ◽  
Thin Walled

In the paper, the influence of material model selection on the behaviour of Finite Element model of a compressed thin-walled channel is studied. Results of three material models of channels of two different lengths and two types of geometric imperfections are compared and discussed.

Influence of Material Model on Tensile Loaded Joint

2010 ◽  
Vol 165 ◽  
pp. 394-399 ◽  
Author(s):  
E. Szymczyk ◽  
Grzegorz Slawinski
Keyword(s):  
Residual Stress ◽  
Finite Element ◽  
Numerical Analysis ◽  
Stress Field ◽  
Material Model ◽  
Finite Element Simulations ◽  
Residual Stress Field ◽  
Material Models ◽  
Riveted Joint ◽  
Load Conditions

The paper deals with the numerical analysis of a tensile loaded riveted joint. Finite element simulations of the upsetting process were carried out with the use of Marc code to determine the residual stress field. The contact with friction is defined between the mating parts of the joint. The computations were performed for four cases of material and load conditions and a comparison was performed on the basis of results obtained for standard elasto plastic and Gurson material models. Moreover, the influence of material model and residual stress on the tensile loaded joint was analyzed.

Hyperelastic Material Model Selection of Structural Silicone Sealants for Use in Finite Element Modeling

2017 ◽  
Author(s):  
Larry D. Carbary ◽  
Jon H. Kimberlain ◽  
John C. Oliva
Keyword(s):  
Finite Element ◽  
Material Model ◽  
Hyperelastic Material ◽  
Model Parameters ◽  
Element Analysis ◽  
Structural Silicone ◽  
Lab Experiments ◽  
Hyperelastic Model ◽  
Hyperelastic Models ◽  
Selection Of

Hyperelastic material model parameters have been developed to capture the behavior of silicone based construction sealants. Modern commercially available finite element analysis software makes it quite accessible to develop hyperelastic material models, automating the process of curve-fitting experimental lab data to specific hyperelastic formulations. However, the process of selecting a particular hyperelastic model from those supported is not straightforward. Here, a series of lab experiments are employed to guide the selection of the hyperelastic model that best describes various structural silicone glazings. A total of 10 different sealants are characterized with discussion of variations among the models. Comparisons of the best performing hyperelastic models for the different sealants are presented. Finally, an application is described in which these hyperelastic models have begun to be implemented in practice.

scholarly journals Biomechanical parameter determination of scaffold-free cartilage constructs (SFCCs) with the hyperelastic material models Yeoh, Ogden and Demiray

2015 ◽  
Vol 1 (1) ◽  
pp. 442-445 ◽  
Author(s):  
T. Reuter ◽  
I. Ponomarev
Keyword(s):  
Articular Cartilage ◽  
Functional Characterization ◽  
Three Dimensional ◽  
Material Model ◽  
Biomechanical Properties ◽  
Hyperelastic Material ◽  
Parameter Determination ◽  
Material Models ◽  
Normalized Error ◽  
Two Parameters

AbstractThe biomechanical properties are crucial indicators for the functional characterization of cartilaginous tissue. In this contribution native articular cartilage and three-dimensional scaffold-free cartilage constructs (SFCCs) are characterized by hyperelastic material models (Yeoh, Ogden and Demiray). SFCCs were developed for the therapy of damaged articular cartilage. The normalized error (NE) of fit and experiment is in the range of 0.04 and 0.13. The material model Yeoh with two parameters yields the best fit. The stress-like parameterc20 is 0.489 MPa for native cartilage, 0.120 MPa and 0.041 MPa for SFCCs produced from mesenchymal stem cells and chondrocytes, respectively. The significance of the fits and the derived parameters are presented and evaluated.

scholarly journals Variation of Passive Biomechanical Properties of the Small Intestine along Its Length: Microstructure-Based Characterization

2021 ◽  
Vol 8 (3) ◽  
pp. 32
Author(s):  
Dimitrios P. Sokolis
Keyword(s):  
Small Intestine ◽  
Orientation Angle ◽  
Axial Direction ◽  
Material Model ◽  
Biomechanical Properties ◽  
Intestinal Wall ◽  
Model Parameters ◽  
Material Models ◽  
Hyper Elastic ◽  
Rat Tissue

Multiaxial testing of the small intestinal wall is critical for understanding its biomechanical properties and defining material models, but limited data and material models are available. The aim of the present study was to develop a microstructure-based material model for the small intestine and test whether there was a significant variation in the passive biomechanical properties along the length of the organ. Rat tissue was cut into eight segments that underwent inflation/extension testing, and their nonlinearly hyper-elastic and anisotropic response was characterized by a fiber-reinforced model. Extensive parametric analysis showed a non-significant contribution to the model of the isotropic matrix and circumferential-fiber family, leading also to severe over-parameterization. Such issues were not apparent with the reduced neo-Hookean and (axial and diagonal)-fiber family model, that provided equally accurate fitting results. Absence from the model of either the axial or diagonal-fiber families led to ill representations of the force- and pressure-diameter data, respectively. The primary direction of anisotropy, designated by the estimated orientation angle of diagonal-fiber families, was about 35° to the axial direction, corroborating prior microscopic observations of submucosal collagen-fiber orientation. The estimated model parameters varied across and within the duodenum, jejunum, and ileum, corroborating histologically assessed segmental differences in layer thicknesses.

On the parameter identification of visco-hyperelastic material models for adhesive tapes

PAMM ◽  
2014 ◽  
Vol 14 (1) ◽  
pp. 341-342 ◽  
Author(s):  
Nils Hendrik Kröger ◽  
Daniel Juhre
Keyword(s):  
Parameter Identification ◽  
Hyperelastic Material ◽  
Material Models

scholarly journals On the recovery of the stress-free configuration of the human cornea

2020 ◽  
Vol 2 (4) ◽  
pp. 11-33
Author(s):  
Anna Pandolfi ◽  
Andrea Montanino
Keyword(s):  
Numerical Simulations ◽  
Inverse Analysis ◽  
Material Model ◽  
Free State ◽  
Human Cornea ◽  
Material Models ◽  
Material Parameters ◽  
Optimal Values ◽  
Stress Free State ◽  
Actual Stress

Purpose: The geometries used to conduct numerical simulations of the biomechanics of the human cornea are reconstructed from images of the physiological configuration of the system, which is not in a stress-free state because of the interaction with the surrounding tissues. If the goal of the simulation is a realistic estimation of the mechanical engagement of the system, it is mandatory to obtain a stress-free configuration to which the external actions can be applied. Methods: Starting from a unique physiological image, the search of the stress-free configuration must be based on methods of inverse analysis. Inverse analysis assumes the knowledge of one or more geometrical configurations and, chosen a material model, obtains the optimal values of the material parameters that provide the numerical configurations closest to the physiological images. Given the multiplicity of available material models, the solution is not unique. Results: Three exemplary material models are used in this study to demonstrate that the obtained, non-unique, stress-free configuration is indeed strongly dependent on both material model and on material parameters. Conclusion: The likeliness of recovering the actual stress-free configuration of the human cornea can be improved by using and comparing two or more imaged configurations of the same cornea.

scholarly journals Material Models to Study the Effect of Fines in Sandy Soils Based on Experimental and Numerical Results

2021 ◽  
Vol 14 (4) ◽  
pp. 651-680
Author(s):  
Ammar Alnmr
Keyword(s):  
Research Laboratory ◽  
Soft Soil ◽  
Sandy Soils ◽  
Soft Materials ◽  
Material Model ◽  
Future Research ◽  
Design Work ◽  
Material Models ◽  
Soil Material ◽  
Soil Model

Choosing and calibrating a robust and accurate soil material model (constitutive model) is the first important step in geotechnical numerical modelling. A less accurate model leads to poor results and more difficulty estimating true behaviour in the field. Subsequent design work is compromised and may lead to dangerous and costly mistakes. In this research, laboratory experimental results were used as a basis to evaluate several soil material models offered in Plaxis2D software. The deciding feature of the soil model was how well it could represent effects of percentage of fine material within sandy soils to simulate its behaviour. Results indicate that the Hardening Soil (HS) model works well when the percentage of fine (soft) materials is less than 10%. Above that level, the Soft Soil model (SS) becomes the most suitable.  Finally, some important conclusions about this research and recommendations for future research are highlighted.

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