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Bibliographic record number: 940827

Journal

Authors: Smoljanović, Hrvoje; Uzelac, Ivana; Trogrlić, Boris; Živaljić, Nikolina; Munjiza, Ante
Title: A computationally efficient numerical model for a dynamic analysis of beam type structures based on the combined finite‐discrete element method
Source: Materialwissenschaft und Werkstofftechnik (0933-5137) 49 (2018), 5; 651-665
Paper type: article
Keywords: Finite-discrete element method ; Dynamic analysis ; Static analysis ; Beams ; Thin arch structures
Abstract:
This paper presents a new numerical model for the analysis of beam-type structures based on the combined finite-discrete element method (FDEM). The model uses straight two-node rotation free finite elements, and takes into account linear-elastic material behaviour, finite displacements, finite rotations and small strains. The presented numerical model is implemented into the open source FDEM package “Yfdem”. Performance of the new numerical model was demonstrated on simple benchmark tests where very good agreement of obtained numerical results with reference solutions was shown. Performed numerical analysis indicates that the presented numerical model is applicable in static, dynamic and stability analyses of beam type structures.
Original language: ENG
Citation databases: Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Category: Znanstveni
Research fields:
Civil engineering,Interdisciplinary technical sciences
URL: https://onlinelibrary.wiley.com/doi/pdf/10.1002/mawe.201700277
https://doi.org/10.1002/mawe.201700277
Broj citata:
Altmetric:
DOI: 10.1002/mawe.201700277
URL cjelovitog rada:
Google Scholar: A computationally efficient numerical model for a dynamic analysis of beam type structures based on the combined finite‐discrete element method
Contrib. to CROSBI by: Nikolina Živaljić (Nikolina.Zivaljic@gradst.hr), 1. Lip. 2018. u 09:06 sati
Remarks:
Special Issue: Advanced Computational Engineering and Experimenting (ACE‐X 2017).



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