The continuous softening behavior of the brain tissue, i.e., the softening in the primary loading path with an increase in deformation, is modeled in this work as a state of hyperelasticity up to the onset of failure. That is, the softening behavior is captured via a core hyperelastic model without the addition of damage variables and/or functions. Examples of the application of the model will be provided to extant datasets of uniaxial tension and simple shear deformations, demonstrating the capability of the model to capture the whole-range deformation of the brain tissue specimens, including their softening behavior. Quantitative and qualitative comparisons with other models within the brain biomechanics literature will also be presented, showing the clear advantages of the current approach. The application of the model is then extended to capturing the rate-dependent softening behavior of the tissue by allowing the parameters of the core hyperelastic model to evolve, i.e., vary, with the deformation rate. It is shown that the model captures the rate-dependent and softening behaviors of the specimens favorably and also predicts the behavior at other rates. These results offer a clear set of advantages in favor of the considered modeling approach here for capturing the quasi-static and rate-dependent mechanical properties of the brain tissue, including its softening behavior, over the existing models in the literature, which at best may purport to capture only a reduced set of the foregoing behaviors, and with ill-posed effects.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1115/1.4065271 | DOI Listing |
J Dent Sci
January 2025
Department of Conservative Dentistry and Periodontology, University Hospital, LMU Munich, Munich, Germany.
Background/purpose: Although clinical studies have suggested a link between non-axial forces and reduced longevity of cervical restorations, the underlying mechanisms require further numerical investigation. This in-silico study employed a cohesive zone model (CZM) to investigate interfacial damage in a cervical restoration subjected to different load directions.
Materials And Methods: A plane strain model of a maxillary premolar was established, with a wedge-shaped buccal cervical restoration.
Materials (Basel)
January 2025
Shanxi Key Laboratory of Magnesium-Based Materials, College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
In this work, the Mg-8Li-3Al-0.3Si (LAS830) alloy was prepared by the vacuum melting method. The as-cast alloy was subjected to backward extrusion at 250 °C and then spun at 250 °C.
View Article and Find Full Text PDFMaterials (Basel)
January 2025
School of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471023, China.
In response to the intensifying competition in the mold market and the increasingly stringent specifications of die forgings, the existing 55NiCrMoV7 (MES 1 steel) material can no longer meet the elevated demands of customers. Consequently, this study systematically optimizes the alloy composition of MES 1 steel by precisely adjusting the molybdenum (Mo) and vanadium (V) contents. The primary objective is to significantly enhance the microstructure and thermal-mechanical fatigue performance of the steel, thereby developing a high-performance, long-life hot working die steel designated as MES 2 steel.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Sociology, University of Chicago, Chicago, IL, USA.
Fears about the destabilizing impact of misinformation online have motivated individuals and platforms to respond. Individuals have increasingly challenged others' online claims with fact-checks in pursuit of a healthier information ecosystem and to break down echo chambers of self-reinforcing opinion. Using Twitter (now X) data, here we show the consequences of individual misinformation tagging: tagged posters had explored novel political information and expanded topical interests immediately prior, but being tagged caused posters to retreat into information bubbles.
View Article and Find Full Text PDFEur J Neurosci
January 2025
Department of Anatomy, Brain Health Research Centre, University of Otago, Dunedin, New Zealand.
Gut inflammation is a salient prodromal feature of Parkinson's disease (PD) implicated in pathologic processes leading to nigrostriatal dopaminergic degeneration. However, existing rodent models of PD are suboptimal for investigating the interaction between gut inflammation and neuropathology. This study aimed to develop a rat model of PD in which gut inflammation exacerbated PD symptoms induced by a parkinsonian lesion.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!