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Xiong Zhang

The Material Point Method

A Continuum-Based Particle Method for Extreme Loading Cases

Ebook (EPUB Format)

The Material Point Method: A Continuum-Based Particle Method for Extreme Loading Cases systematically introduces the theory, code design, and application of the material point method, covering subjects such as the spatial and temporal discretization of MPM, frequently-used strength models and equations of state of materials, contact algorithms in MPM, adaptive MPM, the hybrid/coupled material point finite element method, object-oriented programming of MPM, and the application of MPM in impact, explosion, and metal forming. Recent progresses are also stated in this monograph, including improvement of efficiency, memory storage, coupling/combi… Mehr

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Produktdetails


Weitere Autoren: Chen, Zhen / Liu, Yan
  • ISBN: 978-0-12-407855-0
  • EAN: 9780124078550
  • Produktnummer: 35986199
  • Verlag: Elsevier Science & Techn.
  • Sprache: Englisch
  • Erscheinungsjahr: 2016
  • Seitenangabe: 300 S.
  • Plattform: EPUB

Über den Autor


Xiong Zhang received his Ph.D. in Computational Mechanics from the Dalian University of Technology in 1992. He is now a professor in the School of Aerospace Engineering at Tsinghua University, and the Associate Editor of the International Journal of Mechanics and Materials in Design. His selected honors include the New Century Excellent Talents in University (Ministry of Education of China, 2004), the First prize (2008) and Second prize (2009) for Natural Science from the Ministry of Education of China, the ICACM Fellows Award (2011), the Beijing Municipal Famous Teacher Award for Higher Education (2015) and the Qian Lingxi Computational Mechanics Award (Achievement Award, 2016). His current research interests focus on numerical modeling of extreme events, such as hypervelocity impact, blast, bird impact, penetration, perforation and fluid-structure interaction. He has published 3 monographs and 3 textbooks in Chinese. He was included in the list of Elsevier's Most Cited Chinese Researchers¿ in 2015.

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