Please use this identifier to cite or link to this item: https://doi.org/10.1155/2016/8070748
Title: Simulation on the Self-Compacting Concrete by an Enhanced Lagrangian Particle Method
Authors: Wu, J
Liu, X
Xu, H
Du, H 
Keywords: Accident prevention
Astrophysics
Concretes
Deformation
Hydrodynamics
Lagrange multipliers
Navier Stokes equations
Non Newtonian flow
Non Newtonian liquids
Problem solving
Productivity
Shear stress
Stress-strain curves
Viscous flow
Convergence properties
Free surface deformations
Lagrangian particle method
Lagrangian particles
Mass conservation equations
Non-Newtonian fluids
Rheological modeling
Stress and strain
Self compacting concrete
Issue Date: 2016
Citation: Wu, J, Liu, X, Xu, H, Du, H (2016). Simulation on the Self-Compacting Concrete by an Enhanced Lagrangian Particle Method. Advances in Materials Science and Engineering 2016 : 8070748. ScholarBank@NUS Repository. https://doi.org/10.1155/2016/8070748
Rights: Attribution 4.0 International
Abstract: The industry has embraced self-compacting concrete (SCC) to overcome deficiencies related to consolidation, improve productivity, and enhance safety and quality. Due to the large deformation at the flowing process of SCC, an enhanced Lagrangian particle-based method, Smoothed Particles Hydrodynamics (SPH) method, though first developed to study astrophysics problems, with its exceptional advantages in solving problems involving fragmentation, coalescence, and violent free surface deformation, is developed in this study to simulate the flow of SCC as a non-Newtonian fluid to achieve stable results with satisfactory convergence properties. Navier-Stokes equations and incompressible mass conservation equations are solved as basics. Cross rheological model is used to simulate the shear stress and strain relationship of SCC. Mirror particle method is used for wall boundaries. The improved SPH method is tested by a typical 2D slump flow problem and also applied to L-box test. The capability and results obtained from this method are discussed. © 2016 Jun Wu et al.
Source Title: Advances in Materials Science and Engineering
URI: https://scholarbank.nus.edu.sg/handle/10635/179964
ISSN: 16878434
DOI: 10.1155/2016/8070748
Rights: Attribution 4.0 International
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