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Projects of the
Simulation & Control Group
(A. Chawla & S. Mukherjee)
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Compression Tissue Testing
The objective of this study is to establish a
methodology to identify the dynamic properties of soft tissues.
Nineteen in vitro impact tests are performed on human muscles at
three average strain rates ranging from 136/s to 262/s. Muscle
tissues are compressed uniaxially up to 50% strain level.
Subsequently, finite element simulations replicating the
experimental conditions are executed using the PAM-CRASHTM, explicit
finite element solver. The material properties of the muscles,
modelled as linear isotropic viscoelastic material, are identified
using inverse finite element mapping of test data using Taguchi
methods. Engineering stress - engineering strain curves from
experimental data and finite element models are computed and
compared during identification of material properties at the above
mentioned strain rates. Response of finite element models, with
extracted material properties, falls within experimental corridors
indicating the validation of the methodology adopted.
![](comptistest_files/image002.gif)
Impact Gun test set-up, launcher is not
shown in the picture (Karthikeyan B et al., 2006)
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People Involved:
Faculties:
- Dr. A. Chawla
- Dr. S. Mukherjee
Students and Staff:
- Karthikeyan B
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List of Sponsored Projects:
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Related Publication:
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Karthikeyan B, Mukherjee S, Chawla A, Malhotra R, Inverse
Finite Element Characterization of Soft Tissues Using Impact
Experiments and Taguchi Methods, Transactions Journal of
Passenger Cars – Mechanical Systems, SAE 2006, SAE paper No
2006-01-252.
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Karthikeyan
B, Chawla A and Mukherjee S, Inverse finite
element characterization of soft tissues using
genetic algorithm, Journal of Biomechanics, Vol 39, Suppl 1,
2006, P-S491.
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A. Chawla , S. Mukherjee, R Marathe, B Karthikeyan, R
Malhotra, Determination of Strain rate dependence of human
body soft tissue properties using a SHPB accepted for IRCOBI
2006.
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Chawla A, Mukherjee S and Karthikeyan B,
Characterization of human passive muscles for impact loads
using genetic algorithm and inverse finite element methods,
Biomechanics and modelling in
mechanobiology, Volume 9, Issue 1, page 67-76.
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© 2003-2004 Anoop Chawla, IIT Delhi.
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