Michael Gilchrist

Prof. Michael Gilchrist

orcid

Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2012 in Journal of the Mechanical Behavior of Biomedical Materials
Verified
Journal Article
Closed access
AAAisling Ní Annaidh
Aisling Ní Annaidh
KBKarine Bruyère
Karine Bruyère
MDMichel Destrade
Michel Destrade
MGMichael Gilchrist
Michael Gilchrist
MOMélanie Otténio
Mélanie Otténio

1 January 2019 in Materials & Design
Verified
Journal Article
Open access
CLChen Ling
Chen Ling
ACAlessandro Cernicchi
Alessandro Cernicchi
MGMichael Gilchrist
Michael Gilchrist
PCPhilip Cardiff
Philip Cardiff

1 May 2009 in Materials Science and Engineering: A
Verified
Journal Article
Closed access
Liang CuiLiang Cui
Liang Cui
SKStephen Kiernan
Stephen Kiernan
MGMichael Gilchrist
Michael Gilchrist

1 June 2012 in Journal of the Mechanical Behavior of Biomedical Materials
Verified
Journal Article
Open access
BRBadar Rashid
Badar Rashid
MDMichel Destrade
Michel Destrade
MGMichael Gilchrist
Michael Gilchrist
Traumatic brain injury (TBI) occurs when local mechanical load exceeds certain tolerance levels for brain tissue. Extensive research has been done previously for brain matter experiencing compression at quasistatic loading; however, limited data is available to model TBI under dynamic impact conditions. In this research, an experimental setup was developed to perform unconfined compression tests and stress relaxation tests at strain rates ≤90/s. The brain tissue showed a stiffer response with increasing strain rates, showing that hyperelastic models are not adequate. Specifically, the compressive nominal stress at 30% strain was 8.83 ± 1.94, 12.8 ± 3.10 and 16.0 ± 1.41 kPa (mean ± SD) at strain rates of 30, 60 and 90/s, respectively. Relaxation tests were also conducted at 10%-50% strain with the average rise time of 10 ms, which can be used to derive time dependent parameters. Numerical simulations were performed using one-term Ogden model with initial shear modulus μ(o)=6.06±1.44, 9.44 ± 2.427 and 12.64 ± 1.227 kPa (mean ± SD) at strain rates of 30, 60 and 90/s, respectively. A separate set of bonded and lubricated tests were also performed under the same test conditions to estimate the friction coefficient μ, by adopting combined experimental-computational approach. The values of μ were 0.1 ± 0.03 and 0.15 ± 0.07 (mean ± SD) at 30 and 90/s strain rates, respectively, indicating that pure slip conditions cannot be achieved in unconfined compression tests even under fully lubricated test conditions. The material parameters obtained in this study will help to develop biofidelic human brain finite element models, which can subsequently be used to predict brain injuries under impact conditions.

1 October 2020 in Journal of Manufacturing Processes
Verified
Journal Article
Closed access
Kaiyuan YouKaiyuan You
Kaiyuan You
GYGuangpeng Yan
Guangpeng Yan
Xichun LuoXichun Luo
Xichun Luo
MGMichael Gilchrist
Michael Gilchrist
FFFengzhou Fang
Fengzhou Fang

1 May 2014 in Journal of the Mechanical Behavior of Biomedical Materials
Verified
Journal Article
Open access
BRBadar Rashid
Badar Rashid
MDMichel Destrade
Michel Destrade
MGMichael Gilchrist
Michael Gilchrist
Mechanical characterization of brain tissue at high loading velocities is crucial for modeling Traumatic Brain Injury (TBI). During severe impact conditions, brain tissue experiences compression, tension and shear. Limited experimental data is available for brain tissue in extension at dynamic strain rates. In this research, a High Rate Tension Device (HRTD) was developed to obtain dynamic properties of brain tissue in extension at strain rates of ≤90/s. In vitro tensile tests were performed to obtain properties of brain tissue at strain rates of 30, 60 and 90/s up to 30% strain. The brain tissue showed a stiffer response with increasing strain rates, showing that hyperelastic models are not adequate. Specifically, the tensile engineering stress at 30% strain was 3.1±0.49kPa, 4.3±0.86kPa, 6.5±0.76kPa (mean±SD) at strain rates of 30, 60 and 90/s, respectively. Force relaxation tests in tension were also conducted at different strain magnitudes (10-60% strain) with the average rise time of 24ms, which were used to derive time dependent parameters. One-term Ogden, Fung and Gent models were used to obtain material parameters from the experimental data. Numerical simulations were performed using a one-term Ogden model to analyze hyperelastic behavior of brain tissue up to 30% strain. The material parameters obtained in this study will help to develop biofidelic human brain finite element models, which can subsequently be used to predict brain injuries under impact conditions and as a reconstruction and simulation tool for forensic investigations.