{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/72841"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/72841","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Particle packings and microstructure modeling of energetic materials","abstract":"This dissertation explores the use of packings of frictionless hard particles as models of the microstructure of particulate heterogeneous materials. In the first part of this dissertation, we present the current mathematical framework used for understanding the properties of particle packings, as well as the methods and algorithms we have developed to generate packings of frictionless hard particles with a computer. We develop two algorithms to model hard-particle systems: a collision-driven molecular dynamics algorithm for the simulation of packings of spheres, and a novel hybrid algorithm employing both molecular dynamics and Monte Carlo techniques for the simulation of packings of particles with general convex shapes, such as spheres, cylinders, ellipsoids, polyhedra, etc. We focus heavily on performance in order to enable the simulation of large systems containing 10⁶–10⁷ particles, previously too computationally expensive to simulate. We use performance benchmarks to demonstrate that our implementations of these algorithms scale roughly linearly with the number N of particles in the system, and show the impact that polydispersivity has on performance. In the second part of this dissertation we explore the properties of disordered and ordered hard-particle packings. We reproduce key results found in the literature for packings of spheres and polyhedra, and discuss some of their statistical properties. We then follow the discussion with applications of particle packings as models of the microstructure of particulate materials obtained via computed tomography. We find that the shape of the particles and their size distribution both play a crucial role in the determination of the statistical properties of heterogeneous materials.","abstract_html":"This dissertation explores the use of packings of frictionless hard particles as models of the microstructure of particulate heterogeneous materials. In the first part of this dissertation, we present the current mathematical framework used for understanding the properties of particle packings, as well as the methods and algorithms we have developed to generate packings of frictionless hard particles with a computer. We develop two algorithms to model hard-particle systems: a collision-driven molecular dynamics algorithm for the simulation of packings of spheres, and a novel hybrid algorithm employing both molecular dynamics and Monte Carlo techniques for the simulation of packings of particles with general convex shapes, such as spheres, cylinders, ellipsoids, polyhedra, etc. We focus heavily on performance in order to enable the simulation of large systems containing 10⁶–10⁷ particles, previously too computationally expensive to simulate. We use performance benchmarks to demonstrate that our implementations of these algorithms scale roughly linearly with the number N of particles in the system, and show the impact that polydispersivity has on performance. In the second part of this dissertation we explore the properties of disordered and ordered hard-particle packings. We reproduce key results found in the literature for packings of spheres and polyhedra, and discuss some of their statistical properties. We then follow the discussion with applications of particle packings as models of the microstructure of particulate materials obtained via computed tomography. We find that the shape of the particles and their size distribution both play a crucial role in the determination of the statistical properties of heterogeneous materials.","abstract_has_math":false,"creators":["Amadio, Guilherme"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":["Jackson, Thomas L.","Geubelle, Philippe H.","Heath, Michael","Freund, Jonathan B."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-01-21T19:48:46Z","date_published":"2015-01-21T19:48:46Z","updated_at":"2026-07-22T22:26:07Z","subjects":["particle packing","heterogeneous materials","microstructure modeling","energetic materials","solid propellants","polyhedron packing"],"languages":["en"],"rights":["Copyright 2014 Guilherme Amadio"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/72841","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Jackson, Thomas L.","Geubelle, Philippe H.","Heath, Michael","Freund, Jonathan B."]},{"key":"dc:creator","label":"Author","values":["Amadio, Guilherme"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-01-21T19:48:46Z","2014-12","2015-01-21"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["particle packing","heterogeneous materials","microstructure modeling","energetic materials","solid propellants","polyhedron packing"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2014 Guilherme Amadio"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/72841"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This dissertation explores the use of packings of frictionless hard particles as models of the microstructure of particulate heterogeneous materials. In the first part of this dissertation, we present the current mathematical framework used for understanding the properties of particle packings, as well as the methods and algorithms we have developed to generate packings of frictionless hard particles with a computer. We develop two algorithms to model hard-particle systems: a collision-driven molecular dynamics algorithm for the simulation of packings of spheres, and a novel hybrid algorithm employing both molecular dynamics and Monte Carlo techniques for the simulation of packings of particles with general convex shapes, such as spheres, cylinders, ellipsoids, polyhedra, etc. We focus heavily on performance in order to enable the simulation of large systems containing 10⁶–10⁷ particles, previously too computationally expensive to simulate. We use performance benchmarks to demonstrate that our implementations of these algorithms scale roughly linearly with the number N of particles in the system, and show the impact that polydispersivity has on performance. In the second part of this dissertation we explore the properties of disordered and ordered hard-particle packings. We reproduce key results found in the literature for packings of spheres and polyhedra, and discuss some of their statistical properties. We then follow the discussion with applications of particle packings as models of the microstructure of particulate materials obtained via computed tomography. We find that the shape of the particles and their size distribution both play a crucial role in the determination of the statistical properties of heterogeneous materials.","Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-08-21T15:46:09Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Amadio_Guilherme.pdf: 46363834 bytes, checksum: 265afb643bfc00c1860c68d094250c7a (MD5) Amadio_Guilherme.pdf: 46363744 bytes, checksum: a6211482b6b3bdf660667dcc61b4a79e (MD5)","Made available in DSpace on 2015-01-21T19:48:46Z (GMT). No. of bitstreams: 1 Guilherme_Amadio.pdf: 46363873 bytes, checksum: a61dee6693acedcda7a41ea78d241e3b (MD5)"]},{"key":"dc:title","label":"Title","values":["Particle packings and microstructure modeling of energetic materials"]}]}],"canonical_facts":{"dc:contributor":["Jackson, Thomas L.","Geubelle, Philippe H.","Heath, Michael","Freund, Jonathan B."],"dc:creator":["Amadio, Guilherme"],"dc:date":["2015-01-21T19:48:46Z","2014-12","2015-01-21"],"dc:description":["This dissertation explores the use of packings of frictionless hard particles as models of the microstructure of particulate heterogeneous materials. In the first part of this dissertation, we present the current mathematical framework used for understanding the properties of particle packings, as well as the methods and algorithms we have developed to generate packings of frictionless hard particles with a computer. We develop two algorithms to model hard-particle systems: a collision-driven molecular dynamics algorithm for the simulation of packings of spheres, and a novel hybrid algorithm employing both molecular dynamics and Monte Carlo techniques for the simulation of packings of particles with general convex shapes, such as spheres, cylinders, ellipsoids, polyhedra, etc. We focus heavily on performance in order to enable the simulation of large systems containing 10⁶–10⁷ particles, previously too computationally expensive to simulate. We use performance benchmarks to demonstrate that our implementations of these algorithms scale roughly linearly with the number N of particles in the system, and show the impact that polydispersivity has on performance. In the second part of this dissertation we explore the properties of disordered and ordered hard-particle packings. We reproduce key results found in the literature for packings of spheres and polyhedra, and discuss some of their statistical properties. We then follow the discussion with applications of particle packings as models of the microstructure of particulate materials obtained via computed tomography. We find that the shape of the particles and their size distribution both play a crucial role in the determination of the statistical properties of heterogeneous materials.","Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-08-21T15:46:09Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Amadio_Guilherme.pdf: 46363834 bytes, checksum: 265afb643bfc00c1860c68d094250c7a (MD5) Amadio_Guilherme.pdf: 46363744 bytes, checksum: a6211482b6b3bdf660667dcc61b4a79e (MD5)","Made available in DSpace on 2015-01-21T19:48:46Z (GMT). No. of bitstreams: 1 Guilherme_Amadio.pdf: 46363873 bytes, checksum: a61dee6693acedcda7a41ea78d241e3b (MD5)"],"dc:identifier":["http://hdl.handle.net/2142/72841"],"dc:language":["en"],"dc:rights":["Copyright 2014 Guilherme Amadio"],"dc:subject":["particle packing","heterogeneous materials","microstructure modeling","energetic materials","solid propellants","polyhedron packing"],"dc:title":["Particle packings and microstructure modeling of energetic materials"],"dc:type":["text"],"thesis:degree_discipline":["Aerospace Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:07Z"}