Thesis (M.Eng.)--Memorial University of Newfoundland, 2005. / Bibliography: leaves 154-162.

Explosions are one of the most powerful and devastating natural phenomena. The pressure front from the blast wave of an explosion can cause fracture of objects in its vicinity and create flying debris. In this thesis, I outline a previously proposed explosion model. An explosion is treated as a fluid with its behaviour governed by the Navier-Stokes equations and the gaseous products modeled using particles. Explosions are simulated as a means for initiating fracture of rigid bodies in the vicinity of an explosion. <br /><br /> In contrast to fracture models that are based on physics, I propose a new approach to simulating fracture which treats fracturing the rigid body as a pre-processing step. A rigid body can be pre-fractured by treating it as graph and using one of the two proposed graph partitioning algorithms to divide the object into the desired number of pieces. By treating fracture as a pre-processing step, much less computation need be done during the simulation than models based on physics. <br /><br /> It is shown that the recursive breadth-first search graph partitioning algorithm produces physically realistic results for shattering windows that are consistent with observations of real broken windows. The curvature-driven spectral partitioning algorithm fractures objects into two pieces where the object is weakest, where weakest is defined by the area with largest curvature. Numerical simulations of explosions and fracture were conducted to produce data that was used by a ray tracer and volume renderer to create images which were assembled into animations.

Explosions are one of the most powerful and devastating natural phenomena. The pressure front from the blast wave of an explosion can cause fracture of objects in its vicinity and create flying debris. In this thesis, I outline a previously proposed explosion model. An explosion is treated as a fluid with its behaviour governed by the Navier-Stokes equations and the gaseous products modeled using particles. Explosions are simulated as a means for initiating fracture of rigid bodies in the vicinity of an explosion. <br /><br /> In contrast to fracture models that are based on physics, I propose a new approach to simulating fracture which treats fracturing the rigid body as a pre-processing step. A rigid body can be pre-fractured by treating it as graph and using one of the two proposed graph partitioning algorithms to divide the object into the desired number of pieces. By treating fracture as a pre-processing step, much less computation need be done during the simulation than models based on physics. <br /><br /> It is shown that the recursive breadth-first search graph partitioning algorithm produces physically realistic results for shattering windows that are consistent with observations of real broken windows. The curvature-driven spectral partitioning algorithm fractures objects into two pieces where the object is weakest, where weakest is defined by the area with largest curvature. Numerical simulations of explosions and fracture were conducted to produce data that was used by a ray tracer and volume renderer to create images which were assembled into animations.

Thesis (M.S. in civil engineering)--Washington State University, August 2008. / Includes bibliographical references (p. 79-80).

Thèse de doctorat : Génie des procédés et des produits : INPL : 2007. / Titre provenant de l'écran-titre. Bibliogr.

Thesis (Mechanical Engineer and M.S. in Mechanical Engineering)--Naval Postgraduate School, June 2003. / Thesis advisor(s): Young S. Shin. Includes bibliographical references (p. 161-162). Also available online.

Dust and hybrid mixture explosions continue to occur in industrial processes that handle fine powders and flammable gases. Considerable research is therefore conducted throughout the world with the objective of both preventing the occurrence and mitigating the consequences of such events. In the current work, research has been undertaken to help advance the field of dust explosion prevention and mitigation from an emphasis on hazards to a focus on risk. Employing the principles of quantitative risk assessment (QRA) of dust and hybrid mixture explosions, a methodological framework for the management of these risks has been developed. The Quantitative Risk Management Framework (QRMF) is based on hazard identification via credible accident scenarios for dust explosions, followed by probabilistic Fault Tree Analysis (using Relex – Reliability Excellence – software) and consequence severity analysis, represented by maximum explosion pressure, (using DESC – Dust Explosion Simulation Code – software). Identification of risk reduction measures in the framework is accomplished in a hierarchical manner by considering inherent safety measures, passive and active engineered devices, and procedural measures. Dust explosion tests to determine icing and granulated sugar dust explosibility characteristics have been achieved in a 20-L Siwek chamber, and, accordingly, DESC fuel files were built and DESC has validated. Three industrial case studies are presented to show how the QRMF could has been helpful in reducing dust and hybrid mixture explosion risk at the Imperial Sugar refinery, the Semabla grain storage silo, and a hypothetical 400-m3 polyethylene storage silo. DESC simulations and Probit equation for structural damage provide the destructive percentage of each pressure zone in the simulations, followed by probabilistic FTA that were achieved for the first two case studies, before and after applying the framework. Detailed individual and societal risks calculations were made and F-N curves plotted for the two processes. The polyethylene silo case study is presented to show how inherent safety measures can be helpful in reducing dust and hybrid mixture explosion risk. The framework showed significant risk reduction to the point where the residual risks are acceptable for both processes. Finally, assessment results are compared and improvements measured. / The research main objective is: to manage the risks of any expected dust or hybrid mixture explosion in industrial complexes (large-scale).

No description available.

Thesis (M.S.)--University of Texas at El Paso, 2007. / Title from title screen. Vita. CD-ROM. Includes bibliographical references. Also available online.

Thesis (Ph. D.)--Virginia Polytechnic Institute and State University, 1992. / Vita. Abstract. Includes bibliographical references (leaves 156-157). Also available via the Internet.