2025-04-09 09:00:00
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…
The structure-property relations of mechanical metamaterials have allowed for the realization of novel tough and lightweight material morphologies that exhibit unique mechanical properties including high stiffness-to-mass ratios and energy absorption. Unfortunately, to date, most experimental investigations into this property space have been limited to…
Traditional laser-induced particle impact test (LIPIT) methods incorporate a “pusher” layer: an elastic material that captures the ablation gasses, expands, and drives a microsphere. While most groups currently launch projectiles with diameters less than 100 µm, fabrication of typical protection materials in that size…
High entropy alloys (HEAs) have become a significant interest in applications within extreme environments, such as aerospace and defense, due to their unique properties. These unique properties are granted by the compositional complexity and highly-random crystallographic configurations of HEAs. Studies have found that HEAs…
Protection Engineering Consultants and Southwest Research Institute developed a novel Laser-Driven Microscale Ballistics test methodology through a Phase II STTR effort for the U.S. Army Research Office. This test device allows for rapid, inexpensive ballistic testing for early-stage evaluation of next-generation protection materials. This…
Dislocation motion transitions from thermally activated to continuous glide when deformation rate increases. The ballistic transport of dislocation leads to significant dislocation-phonon interactions that result in material embrittlement, contributing to material failure under impact. Understanding dislocation-phonon drag is critical for designing materials for extreme…
The integration of data-driven methods and machine learning is transforming research in high-strain rate mechanics of materials. Split Hopkinson Pressure Bar (SHPB) setups are widely used to characterize material behavior under high strain rates. However, generating the extensive datasets necessary for developing viscoplastic constitutive…
The fragmentation behavior of porous metal rings subjected to rapid radial expansion largely depends on the microstructural pore morphology. Incorporating this microstructural information, as characterized by micro-CT scans, into large-scale simulations is essential to predict the fracture behavior. However, this process presents challenges, as…
Indentation is a simple and one of the oldest small-scale test methods for characterizing the mechanical response of materials. Recently, there has been growing interest in dynamic indentation due to its potential to characterize the mechanical response of small volumes of materials at high…
