PMID- 34897372 OWN - NLM STAT- MEDLINE DCOM- 20220427 LR - 20220427 IS - 1528-8951 (Electronic) IS - 0148-0731 (Linking) VI - 144 IP - 7 DP - 2022 Jul 1 TI - Mesoscale Simulation-Based Parametric Study of Damage Potential in Brain Tissue Using Hyperelastic and Internal State Variable Models. LID - 071005 [pii] LID - 10.1115/1.4053205 [doi] AB - Two-dimensional mesoscale finite element analysis (FEA) of a multilayered brain tissue was performed to calculate the damage-related average stress triaxiality and local maximum von Mises strain in the brain. The FEA was integrated with rate-dependent hyperelastic and internal state variable (ISV) models, respectively, describing the behaviors of wet and dry brain tissues. Using the finite element results, a statistical method of design of experiments (DOE) was utilized to independently screen the relative influences of seven parameters related to brain morphology (sulcal width/depth, gray matter (GM) thickness, cerebrospinal fluid (CSF) thickness and brain lobe) and loading/environment conditions (strain rate and humidity) with respect to the potential damage growth/coalescence in the brain tissue. The results of the parametric study illustrated that the GM thickness and humidity were the two most crucial parameters affecting average stress triaxiality. For the local maximum von Mises strain at the depth of brain sulci, the brain lobe/region was the most influential factor. The conclusion of this investigation gives insight for the future development and refinement of a macroscale brain damage model incorporating information from lower length scale. CI - Copyright (c) 2022 by ASME. FAU - He, Ge AU - He G AD - Shanghai Key Laboratory of Mechanics in Energy Engineering, Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science, Shanghai University, Shanghai 200444, China. FAU - Fan, Lei AU - Fan L AD - Department of Mechanical Engineering, Michigan State University, East Lansing, MI 48824. FAU - Liu, Yucheng AU - Liu Y AD - Department of Mechanical Engineering, South Dakota State University, Brookings, SD 57007. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't PL - United States TA - J Biomech Eng JT - Journal of biomechanical engineering JID - 7909584 SB - IM MH - Biomechanical Phenomena MH - *Brain MH - Computer Simulation MH - Finite Element Analysis MH - *Head MH - Stress, Mechanical OTO - NOTNLM OT - brain tissue OT - design of experiments OT - hyperelasticity OT - internal state variable EDAT- 2021/12/14 06:00 MHDA- 2022/04/28 06:00 CRDT- 2021/12/13 13:23 PHST- 2021/09/15 00:00 [received] PHST- 2021/12/14 06:00 [pubmed] PHST- 2022/04/28 06:00 [medline] PHST- 2021/12/13 13:23 [entrez] AID - 1129242 [pii] AID - 10.1115/1.4053205 [doi] PST - ppublish SO - J Biomech Eng. 2022 Jul 1;144(7):071005. doi: 10.1115/1.4053205.