2023-04-05 08:00:00
Due to recent unprecedented innovations in computing power, data-driven methods like Machine Learning (ML) have risen in popularity in the field of solid mechanics. Specifically, ML models have been fit to material potential energy surfaces (PES) due to their ability to reach ab initio…
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…
Fracture response of materials is highly sensitive to microstructural details and defect distribution. Accordingly, in fragmentation analysis and some other fracture examples, the use of deterministic and homogeneous material properties can result in nonphysical responses. The use of random fields as underlying material properties…
The thermomechanical behavior of porous RDX single crystals is studied under dynamic loading using an anisotropic dislocation-based crystal plasticity model that accounts for deformation-induced heating. A micromechanics-based framework is proposed to account for micro-inertially confined dynamic collapse of pores. A suite of finite element…
Improvement of mechanical characteristics (up to reaching whatever high values) of impact-resistant and ultrahightemperature ceramic composites based on borides and carbides prepared from mixtures of B4C-SiC, AlB12-TiC, HfB2-SiC, HfC-MoSi2 ZrB2-SiC, ZrB2-SiC-ZrC have been achieved due to sintering under high (4.1 GPa) and moderate (30…
