Multiphysics Response of Energetic Materials

AvMin Zhou

Inbunden, Engelska, 2027

1 725 kr

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Beskrivning

This book presents a comprehensive treatment of multiphysics modeling and computational analysis of energetic materials, emphasizing the relationships between material microstructure, coupled physical processes, and macroscopic performance. The response of energetic materials involves complex interactions among mechanics, heat transfer, chemistry, electricity, and transport phenomena, requiring modeling frameworks that capture both structural hierarchy and stochastic heterogeneity. The volume examines traditional thermomechanical hotspot formation as well as emerging mechanisms associated with mechanoelectrical effects and electromagnetic excitation. Materials considered include polymer-bonded explosives and polymer-metal particle reactive materials, each requiring distinct multiphysics descriptions.The book is organized around three central themes: the fundamentals of governing equations, constitutive models, and computational approaches; the development of a physical understanding of coupled response mechanisms; and the prediction of practically important material properties through mesoscale simulations. Topics include microstructure design, computational frameworks, ignition threshold prediction, shock-to-detonation transition behavior, electromagnetic and mechanoelectrical ignition mechanisms, dielectric breakdown, and the application of machine learning to microstructure-response relationships.By linking microstructural characteristics to engineering-relevant performance measures, the book provides a unified perspective on predictive materials design. It serves researchers, graduate students, and professionals working in energetic materials, computational materials science, solid mechanics, multiphysics simulation, and related fields.

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Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastian Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça - Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Häftad
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases

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1 609 kr

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Tarabay Antoun, Lynn Seaman, Donald R Curran, Gennady I. Kanel, Sergey V. Razorenov, Alexander V. Utkin - Spall Fracture, Inbunden

Spall Fracture

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