| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Shepherd, Duncan Et
University of Birmingham
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (24/24 displayed)
- 2024Frequency and time dependent viscoelastic characterization of pediatric porcine brain tissue in compressioncitations
- 2022Bio-Tribo-Acoustic Emissions: Condition Monitoring of a Simulated Joint Articulationcitations
- 2022Long-term in vitro corrosion behavior of Zn-3Ag and Zn-3Ag-0.5Mg alloys considered for biodegradable implant applicationscitations
- 2022Surface Free Energy Dominates the Biological Interactions of Postprocessed Additively Manufactured Ti-6Al-4Vcitations
- 2021Surface finish of additively manufactured metalscitations
- 2021Investigation of the compressive viscoelastic properties of brain tissue under time and frequency dependent loading conditionscitations
- 2020Dynamic mechanical characterization and viscoelastic modeling of bovine brain tissuecitations
- 2020A method for the assessment of the coefficient of friction of articular cartilage and a replacement biomaterialcitations
- 2019Frequency dependent viscoelastic properties of porcine brain tissuecitations
- 2018The role of subchondral bone, and its histomorphology, on the dynamic viscoelasticity of cartilage, bone and osteochondral corescitations
- 2018Tailoring selective laser melting process for titanium drug-delivering implants with releasing micro-channelscitations
- 2017Crack growth in medical-grade silicone and polyurethane ether elastomerscitations
- 2016Design of a Dynamic External Finger Fixatorcitations
- 2015Frequency dependent viscoelastic properties of porcine bladdercitations
- 2015The evolution of polymer wear debris from total disc arthroplastycitations
- 2015Variation in viscoelastic properties of bovine articular cartilage below, up to and above healthy gait-relevant loading frequenciescitations
- 2014Viscoelastic properties of bovine knee joint articular cartilage : dependency on thickness and loading frequencycitations
- 2013Abrasive Water Jet Cutting (AWJC) of Co-Cr-Mo alloy investment castings in the medical device industry
- 2011Viscoelastic properties of the intervertebral disc and the effect of nucleus pulposus removalcitations
- 2010Effect of accelerated aging on the viscoelastic properties of Elast-Eon (TM): A polyurethane with soft poly(dimethylsiloxane) and poly(hexamethylene oxide) segmentscitations
- 2009Viscoelastic properties of bovine articular cartilage attached to subchondral bone at high frequenciescitations
- 2009Frequency dependence of viscoelastic properties of medical grade siliconescitations
- 2005A new design concept for wrist arthroplastycitations
- 2004A comparison of the torsional performance of stainless steel and titanium alloy tibial intramedullary nails: a clinically relevant approach
Places of action
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article
Dynamic mechanical characterization and viscoelastic modeling of bovine brain tissue
Abstract
Brain tissue is vulnerable and sensitive, predisposed to potential damage under various conditions of mechanical loading. Although its material properties have been investigated extensively, the frequency-dependent viscoelastic characterization is currently limited. Computational models can provide a non-invasive method by which to analyze brain injuries and predict the mechanical response of the tissue. The brain injuries are expected to be induced by dynamic loading, mostly in compression and measurement of dynamic viscoelastic properties are essential to improve the accuracy and variety of finite element simulations on brain tissue. Thus, the aim of this study was to investigate the compressive frequency-dependent properties of brain tissue and present a mathematical model in the frequency domain to capture the tissue behavior based on experimental results. Bovine brain specimens, obtained from four locations of corona radiata, corpus callosum, basal ganglia and cortex, were tested under compression using dynamic mechanical analysis over a range of frequencies between 0.5 and 35 Hz to characterize the regional and directional response of the tissue. The compressive dynamic properties of bovine brain tissue were heterogenous for regions but not sensitive to orientation showing frequency dependent statistical results, with viscoelastic properties increasing with frequency. The mean storage and loss modulus were found to be 12.41 kPa and 5.54 kPa, respectively. The material parameters were obtained using the linear viscoelastic model in the frequency domain and the numeric simulation can capture the compressive mechanical behavior of bovine brain tissue across a range of frequencies. The frequency-dependent viscoelastic characterization of brain tissue will improve the fidelity of the computational models of the head and provide essential information to the prediction and analysis of brain injuries in clinical treatments.