Accelerated and Stabilized Meshfree Method for Impact-Blast Modeling

J. S. Chen, Jonghyuk Baek, Tsung Hui Huang, Michael C. Hillman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Meshfree methods such as the reproducing kernel particle method (RKPM) are well suited for modeling materials and solids undergoing fracture and damage processes, and nodal integration is a natural choice for modeling this class of problems. However, nodal integration suffers from spatial instability, and the excessive material deformation and damage process could also lead to kernel instability in RKPM. This paper reviews the recent advances in nodal integration for meshfree methods that are stable, accurate, and with optimal convergence. A variationally consistent integration (VCI) is introduced to allow correction of low order quadrature rules to achieve optimal convergence, and several stabilization techniques for nodal integration are employed. The application of the stabilized RKPM with nodal integration for shock modeling, fracture to damage multiscale mechanics, and materials modeling in extreme events, are demonstrated. These include the modeling of man-made disasters such as fragment-impact processes, penetration, shock, and blast events will be presented to demonstrate the effectiveness of the new developments.

Original languageEnglish (US)
Title of host publicationStructures Congress 2020 - Selected Papers from the Structures Congress 2020
EditorsJames Gregory Soules
PublisherAmerican Society of Civil Engineers (ASCE)
Number of pages13
ISBN (Electronic)9780784482896
StatePublished - 2020
EventStructures Congress 2020 - St. Louis, United States
Duration: Apr 5 2020Apr 8 2020

Publication series

NameStructures Congress 2020 - Selected Papers from the Structures Congress 2020


ConferenceStructures Congress 2020
Country/TerritoryUnited States
CitySt. Louis

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction


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