Source code and experimental data of human brain tissue (visual cortex, corona radiata) for poro-viscoelastic parameter identification

Raw data from measurements or recordings

2024

Subject:

DOI: 10.5281/zenodo.13960486

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Computer code and experimental data that we used for our inverse parameter identification of poro-viscoelastic material parameters for two different brain regions: visual cortex (gray matter) and corona radiata (white matter). The experimental data comprises large-strain cyclic loading and compression/tension relaxation. For details see the corresponding publication: "Model-driven exploration of poro-viscoelasticity in human brain tissue: Be careful with the parameters!". Further explanation regarding the specimen preparation, experimental setup, as well as the assignment of regions and governing regions can be found in Hinrichsen, J., Reiter, N., Bräuer, L. et al. Inverse identification of region-specific hyperelastic material parameters for human brain tissue. Biomech Model Mechanobiol (2023). https://doi.org/10.1007/s10237-023-01739-w. The file "nonlinear-poro-viscoelasticity.cc" contains our C++ Finite Element code based on the open source library deal.II. It is accompanied by an exemplary parameter file.

Publication Date: Oct. 21, 2024

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Debug: Alles

Autoren: Steinmann P, Reiter N, Budday S, Pelteret J, Hinrichsen J, Greiner A
Datum: None
Year: 2024
Beschreibung: Computer code and experimental data that we used for our inverse parameter identification of poro-viscoelastic material parameters for two different brain regions: visual cortex (gray matter) and corona radiata (white matter). The experimental data comprises large-strain cyclic loading and compression/tension relaxation. For details see the corresponding publication: "Model-driven exploration of poro-viscoelasticity in human brain tissue: Be careful with the parameters!". Further explanation regarding the specimen preparation, experimental setup, as well as the assignment of regions and governing regions can be found in Hinrichsen, J., Reiter, N., Bräuer, L. et al. Inverse identification of region-specific hyperelastic material parameters for human brain tissue. Biomech Model Mechanobiol (2023). https://doi.org/10.1007/s10237-023-01739-w. The file "nonlinear-poro-viscoelasticity.cc" contains our C++ Finite Element code based on the open source library deal.II. It is accompanied by an exemplary parameter file.
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Verf: 320704969
Publ-Datum: Oct. 21, 2024
Datentyp: 234405601
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