Some Examples of Real Masonry Structures Modelling by 3D-NSCD Discrete Element Method

2004 ◽  
Author(s):  
Brahim Chetouane ◽  
Claude Bohatier ◽  
Marc Vinches
Keyword(s):  
Discrete Element Method ◽  
Cultural Heritage ◽  
Discrete Element ◽  
Masonry Structures ◽  
Discrete Modeling ◽  
The Real ◽  
Structural Problems ◽  
Geometric Decomposition ◽  
Continuous Modeling ◽  
Element Method

The aim of this paper is to provide answers to some questions of the archaeologists and leaders of cultural heritage agencies in charge of structures affected by structural problems and instabilities with emphasis on the Arles roman aqueduct in the South of France. The modeling is performed with NSCD discrete element method. The 3D geometric decomposition of the two structures is realistic and is obtained by a conversion from (DXF) CAO format to LMGC90 discrete element code which is dealing with the NSCD method. A comparison with continuous modeling shows the unique possibilities of discrete modeling to account for observed failure phenomena on the real structures.

scholarly journals NSCD discrete element method for modelling masonry structures

2005 ◽  
Vol 64 (1) ◽  
pp. 65-94 ◽  
Author(s):  
B. Chetouane ◽  
F. Dubois ◽  
M. Vinches ◽  
C. Bohatier
Keyword(s):  
Discrete Element Method ◽  
Discrete Element ◽  
Masonry Structures ◽  
Element Method

scholarly journals A Discrete Element Method based-approach for arched masonry structures under blast loads

2020 ◽  
Vol 216 ◽  
pp. 110721 ◽  
Author(s):  
Filippo Masi ◽  
Ioannis Stefanou ◽  
Victor Maffi-Berthier ◽  
Paolo Vannucci
Keyword(s):  
Discrete Element Method ◽  
Discrete Element ◽  
Masonry Structures ◽  
Blast Loads ◽  
Element Method

scholarly journals Application of a recycling Krylov subspace strategy for discrete element method applied to brittle crack problems

2009 ◽  
pp. 647-667
Author(s):  
Sylvain Gavoille ◽  
Arnaud Delaplace ◽  
Christian Rey
Keyword(s):  
Discrete Element Method ◽  
Krylov Subspace ◽  
Discrete Element ◽  
Brittle Crack ◽  
Discrete Modeling ◽  
Cpu Time ◽  
Crack Problems ◽  
Linear Problems ◽  
2D And 3D ◽  
Element Method

This paper deals with a comparative study of two iterative Krylov solvers (GIRKS and SRKS) dedicated to the solution to a sequence of large linear problems. We apply these two algorithms to brittle crack problems modelized with a discrete element method. We show that these algorithms still reduce the total number of iterations but not the total CPU time. By considering the specific modification of the stiffness matrix for discrete modeling, we propose a simple evolution of the SRK algorithm leading to a reduction of the factor time (greater than 2). Efficiency of the algorithm is illustrated on 2D and 3D examples of crack propagation.

Discrete element method to model cracking for two layer systems

TAPPI Journal ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 101-108
Author(s):  
Daniel Varney ◽  
Douglas Bousfield
Keyword(s):  
Discrete Element Method ◽  
Flexural Modulus ◽  
Single Layer ◽  
Discrete Element ◽  
Flexural Stress ◽  
Layer System ◽  
Three Point Bending ◽  
Moving Force ◽  
Coating Layers ◽  
Element Method

Cracking at the fold is a serious issue for many grades of coated paper and coated board. Some recent work has suggested methods to minimize this problem by using two or more coating layers of different properties. A discrete element method (DEM) has been used to model deformation events for single layer coating systems such as in-plain and out-of-plain tension, three-point bending, and a novel moving force picking simulation, but nothing has been reported related to multiple coating layers. In this paper, a DEM model has been expanded to predict the three-point bending response of a two-layer system. The main factors evaluated include the use of different binder systems in each layer and the ratio of the bottom and top layer weights. As in the past, the properties of the binder and the binder concentration are input parameters. The model can predict crack formation that is a function of these two sets of factors. In addition, the model can predict the flexural modulus, the maximum flexural stress, and the strain-at-failure. The predictions are qualitatively compared with experimental results reported in the literature.

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