2025-04-09 09:00:00
Polymers play an increasingly large role in application areas involving extreme loadings, from polymer-bonded explosives to personnel and vehicular protection systems. However, there remain substantial gaps in our knowledge of polymer mechanics at very high strain rates, especially regarding spall strength and the underlying…
Multiscale experiments in heterogeneous materials and the knowledge of their physics under shock compression are limited. This study examines the multiscale shock response of particulate composites comprised of soda-lime glass particles in a PMMA matrix using full-field high-speed digital image correlation (DIC) for the…
Mesoscale simulations reveal that the apparent shear strength in shock-compacted granular materials shows a path-dependent relaxation and recovery behavior due spatial heterogeneity of the material deformation. The extent of shear relaxation is shown to depend on the change in porosity, shock pressure, and material…
Traditional molecular dynamics (MD) shock simulations to investigate spallation characteristics of materials are computationally expensive as they require a compressive pulse to be generated and propagated in a domain, followed by its reflection to a tensile pulse. We propose an efficient MD-based method to…
TNO Defence Security and Safety, has conducted research in energetic material response to all kinds of impact related stimuli such as bullet-fragment and shaped charge jet impact, and sympathetic reaction scenarios. These investigations comprise laboratory scale and in-service munition testing as well as the…
Quasi-one-dimensional (1D) nanomaterials are an important class of low-dimensional matter which include nanotubes of arbitrary chirality, nanowires, nanosprings, nanoribbons, and nanoassemblies. The fascinating electronic, optical, transport and magnetic properties of these materials offer unparalleled opportunities for impacting the design of novel quantum, photonic and…
This work uses a machine-learning-based approach to qualitatively assess BVID with features generated by guided waves propagating in a damaged material medium. Low-velocity impacts causing BVID in composite materials are a concern while performing in-field service inspections on aerospace structures. Furthermore, BVID may increase…
Memory complexity and data scarcity are two main pressing challenges in learning solution operators of partial differential equations (PDEs) at high resolutions. These challenges limited prior neural operator models to low/mid-resolution problems rather than full scale real-world problems. Yet, physical problems possess spatially local…
Simulating higher-complexity problems of fracture mechanics requires the use of high-fidelity models where time requirements and computational costs increase with problem complexity. A potential approach to overcome these challenges involves reduced-order modeling techniques, such as Machine Learning (ML). Despite their recent success, machine learning…
This talk concerns the study of history dependent phenomena in heterogeneous materials in a two-scale setting where the material is specified at a fine microscopic scale of heterogeneities that is much smaller than the coarse macroscopic scale of application. We specifically study a polycrystalline…
