2025-04-09 09:00:00
Diamond is widely used in high-power laser experiments due to its optical transparency and high strength under compression. The latter of these two properties is not well understood. Previous work indicated conflicting results; high strength maintained to 800GPa (Bradley, 2009), complete loss of strength…
The performance of concrete materials under high pressures and high strain rate loading is critical to their use in protective structures. In this work, we investigated damage in mortar samples subjected to high-velocity projectile impacts to assess performance and deformation mechanisms. Projectile impact tests…
Accumulation of microplastic defects generated through high cycle elastic fatigue loading results in microstructure, especially porosity, states that vary significantly from the pristine materials typically investigated in shock studies. In order to probe the effects of these microstructural changes, specimens of α Fe and…
This study focuses on the development of morphing techniques to create individualized body models for biomechanical analysis in high-G environments, such as those encountered by fighter pilots. Traditional human body models often lack the ability to represent individual variability in body dimensions and biomechanics,…
The nonlinear and complex nature of tissue mechanics presents significant computational challenges, particularly in dynamic mode where solver complexity escalates exponentially. Traditional numerical approaches like finite element method (FEM) are constrained by the intricate requirements when dealing with complex morphologies and heterogeneous materials, which…
1.74 million people are affected by Traumatic Brain Injury (TBI) in the United States annually, which emphasizes the necessity to reliably measure and predict the material behavior of the brain in response to a variety of mechanical loading scenarios. Computational head models are widely…
One failure mode experienced by biological materials is cavitation. Synthetic gels can serve as biological tissue analogs for studying this phenomenon. Currently, gel cavitation is typically investigated in initially stress-free materials via cavitation rheology. The lack of cavitation experiments on pre-stressed gel samples, however,…
We investigate the fragmentation response of a thin ring subjected to radially expanding loads. Material strength is represented as a random field. By adjusting the covariance function, we can systematically incorporate various forms of material heterogeneity, such as the length scale of variations, roughness,…
The advent of big data is revolutionizing scientific discovery, enabling the development of novel models, refinement of existing frameworks, and precise uncertainty quantification. Simultaneously, advancements in scientific machine learning have unlocked powerful tools for solving inverse problems, especially in scenarios involving complex systems with…
We developed an image-based convolutional neural network (CNN) designed for quantitative, time-resolved measurement of fragmentation behavior in opaque brittle materials using ultra-high-speed optical imaging. Building on prior work with the U-net model, we trained binary, 3-class, and 5-class models via supervised learning, using data…
