Matching Items (4)
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Description
Measuring the dynamic strength of a material based on stress and strain data is challenging due to the diculty in recording strain and stress under the short times and large loads typical of dynamic events, such as impact and shock loading. The research involved in this study aims to perform

Measuring the dynamic strength of a material based on stress and strain data is challenging due to the diculty in recording strain and stress under the short times and large loads typical of dynamic events, such as impact and shock loading. The research involved in this study aims to perform nite element simulations for a new experimental method that can provide information on material dynamic strength, which is crucial for many engineering applications. In this method, a shock wave is applied to a metallic sample with a perturbed surface, i.e, one with periodic ripples machined or etched on the surface. The speed and magnitude of the change of am- plitude of the ripples are recorded. It is known that these parameters are functions of both geometry and material strength. The experimental data are compared with the simulation results produced. The dynamic yield strength of a material is taken to be the same as the strength used in simulations when a close match is found. The simulations have produced results that closely matched the experimental data and predicted the dynamic yield strength of metallic samples and have led to the discov- ery of a new experimental technique to lower the impact velocity required to induce amplitude changes in surface perturbations under shock loading. Thus, shock experi- ments to measure strength using surface perturbations will become easier to conduct and span a wider range of conditions. However, the existing simulation models are not adequate to examine the relations among hardening behavior and the change of amplitude and velocity on the sample surface. Thus, the models should be further modied to study dierent material hardening behaviors under dynamic loadings.
ContributorsChen, Yan (Author) / Peralta, Pedro (Thesis director) / Oswald, Jay (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor)
Created2014-12
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Description
Understanding damage evolution, particularly as it relates to local nucleation and growth kinetics of spall failure in metallic materials subjected to shock loading, is critical to national security. This work uses computational modeling to elucidate what characteristics have the highest impact on damage localization at the microstructural level in metallic

Understanding damage evolution, particularly as it relates to local nucleation and growth kinetics of spall failure in metallic materials subjected to shock loading, is critical to national security. This work uses computational modeling to elucidate what characteristics have the highest impact on damage localization at the microstructural level in metallic materials, since knowledge of these characteristics is critical to improve these materials. The numerical framework consists of a user-defined material model implemented in a user subroutine run in ABAQUS/Explicit that takes into account crystal plasticity, grain boundary effects, void nucleation and initial growth, and both isotropic and kinematic hardening to model incipient spall. Finite element simulations were performed on copper bicrystal models to isolate the boundary effects between two grains. Two types of simulations were performed in this work: experimentally verified cases in order to validate the constitutive model as well as idealized cases in an attempt to determine the microstructural characteristic that define weakest links in terms of spall damage. Grain boundary effects on damage localization were studied by varying grain boundary orientation in respect to the shock direction and the crystallographic properties of each grain in the bicrystal. Varying these parameters resulted in a mismatch in Taylor factor across the grain boundary and along the shock direction. The experimentally verified cases are models of specific damage sites found from flyer plate impact tests on copper multicrystals in which the Taylor factor mismatch across the grain boundary and along the shock direction are both high or both low. For the idealized cases, grain boundary orientation and crystallography of the grains are chosen such that the Taylor factor mismatch in the grain boundary normal and along the shock direction are maximized or minimized. A perpendicular grain boundary orientation in respect to the shock direction maximizes Taylor factor mismatch, while a parallel grain boundary minimizes the mismatch. Furthermore, it is known that <1 1 1> crystals have the highest Taylor factor, while <0 0 1> has nearly the lowest Taylor factor. The permutation of these extremes for mismatch in the grain boundary normal and along the shock direction results in four idealized cases that were studied for this work. Results of the simulations demonstrate that the material model is capable of predicting damage localization, as it has been able to reproduce damage sites found experimentally. However, these results are qualitative since further calibration is still required to produce quantitatively accurate results. Moreover, comparisons of results for void nucleation rate and void growth rate suggests that void nucleation is more influential in the total void volume fraction for bicrystals with high property mismatch across the interface, suggesting that nucleation is the dominant characteristic in the propagation of damage in the material. Further work in recalibrating the simulation parameters and modeling different bicrystal orientations must be done to verify these results.
ContributorsVo, Johnathan Hiep (Author) / Peralta, Pedro (Thesis director) / Oswald, Jay (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2014-12
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Description
Solar System history has been shaped by impact processes, such as large-body collisions. The history of impact events is constrained by dating shocked meteorites. Constraining the solar system impact history informs models of solar system formation and can provide insight into solar system processes around other stars. However, there is

Solar System history has been shaped by impact processes, such as large-body collisions. The history of impact events is constrained by dating shocked meteorites. Constraining the solar system impact history informs models of solar system formation and can provide insight into solar system processes around other stars. However, there is a long-standing issues using the 40Ar/39Ar chronometer, the most widely used impact event chronometer, to date heavily impacted meteorites. This issue has resulted in artificially old ages in some heavily shocked samples, up to 7 billion years old, which is far older than the age of the Solar System. In Chapters 2 & 3 I examine four heavily shocked meteorites to elucidate the cause of anomalously old impact ages and recommend best practices for future 40Ar/39Ar impact age interpretations.Over 5,000 exoplanets have been identified using astronomical observations, which has supported new exoplanetary science over the last few decades. Exoplanetary science is still in a nascent stage but progressing quickly. Now more than ever, an interdisciplinary approach can be used to build the foundations of exoplanet sciences. Many geoscience inquiries, such as exoplanet compositions, dynamics of exoplanetary mantles and crusts, and the likelihood of habitability, are just beginning to be addressed. In Chapter 4, I use stellar abundance-derived exoplanet mantle compositions to interrogate the variability in exoplanet compositions and the likelihood of primitive crust formation. The results of this work have significant implications for exoplanet mantle dynamics, melting behavior, and the likelihood of plate tectonics. Lastly, over the last few decades, there have been pushes for science and the innovation that results from it to be conducted responsibly and openly. Moreover, the U.S. federal government has undertaken a transformational path to make federal agency-funded science more open and accessible. One method of increasing open science in science-funding agencies is to make the science and mission prioritization decision process more democratic. The NASA Decadal Surveys are an example of community-driven democratic decision-making in the space sciences and set the science and mission goals for the whole space science community. To support a citizen-centered democratic approach, I develop an expanded model of the participatory technology assessment (pTA) process for use in NASA’s Decadal Surveys.
ContributorsKarageozian, Mara (Author) / Sharp, Thomas (Thesis advisor) / Till, Christy (Committee member) / Barboni, Melanie (Committee member) / Desch, Steven (Committee member) / O'Rourke, Joseph (Committee member) / Arizona State University (Publisher)
Created2024
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Description
Energetic materials with granular microstructures find wide applications in military and civilian sectors. A comprehensive understanding of their shock response is crucial for the development of safer explosives and predictive models. Initiation of the explosive reaction, a critical safety concern, is believed to be triggered by the formation of hotspots,

Energetic materials with granular microstructures find wide applications in military and civilian sectors. A comprehensive understanding of their shock response is crucial for the development of safer explosives and predictive models. Initiation of the explosive reaction, a critical safety concern, is believed to be triggered by the formation of hotspots, i.e., localized high-temperature regions. Although direct observation of hotspots remains elusive, computational simulations offer a window into their behavior. This work investigates effect of porosity on reactivity of hotspots in Pentaerythritol Tetranitrate (PETN) and potential shock surrogate Meso-Erythritol (ME). Building upon findings that link hotspot size and temperature to material heterogeneity, this research integrates experimental characterization of ME and mesoscale simulations of both ME and PETN to quantify how the pore distribution influences hotspots. Results showed that shock impedance of ME is within 10% of PETN up to 1 GPa, highlighting its potential as a shock surrogate for weak shocks. Gas gun tests with ME validated Hugoniot parameters in literature, which were used in a P-α compaction model, validating that mesoscale simulations of shock loaded ME agree with experiments within measured uncertainty. This mesoscale approach was then applied to PETN by using synthetically generated microstructures, which demonstrates that enlarging pore size in PETN results in more individually reactive hotspots and greater variability in thermodynamic states over time than increasing pore count or starting with a lower porosity. A higher pore count produces a more right-skewed temperature distribution, indicating a greater total number of hotspots compared to other conditions. Simulations also show that air in individual pores lowers the peak hotspot temperatures due to work done compressing the air and affects secondary hotspot formation. Hotspots within 0.15 μm can react at temperatures below 800 K, their proximity enabling them to bypass thermal quenching via local heat transfer.
ContributorsWilde, Zakary Robert (Author) / Peralta, Pedro (Thesis advisor) / Arizona State University (Publisher)
Created2024