Simulation on the self-compacting concrete by an enhanced Lagrangian particle method

Wu, Jun, Liu, Xuemei, Xu, Haihua, & Du, Hongjian (2016) Simulation on the self-compacting concrete by an enhanced Lagrangian particle method. Advances in Materials Science and Engineering, 2016, Article ID 8070748.

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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.

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ID Code: 98330
Item Type: Journal Article
Refereed: Yes
Keywords: Flow, Viscosity, Shear stress, self-compacting concrete, hydrodynamics, SPH
DOI: 10.1155/2016/8070748
ISSN: 1687-8442
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Structural Engineering (090506)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
  • NNSF CHINA/51508294
  • QUT/ECARD(13)
Facilities: Science and Engineering Centre
Copyright Owner: Copyright 2016 Jun Wu et al.
Copyright Statement: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Deposited On: 25 Aug 2016 23:22
Last Modified: 28 Aug 2016 23:44

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