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Recent developments in modelling self-compacting concrete flow using smooth particle hydrodynamics method

Kulasegaram, Sivakumar and Karihaloo, Bhushan 2017. Recent developments in modelling self-compacting concrete flow using smooth particle hydrodynamics method. Presented at: PARTICLES 2017 V International Conference on Particle-Based Methods. Fundamentals and Applications,, Hannover, Germany., 26-28 September 2017. -.

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Abstract

Due to the demand forhighly durable concrete structures, self-compacting concrete (SCC)with its unique characteristics (flow-ability,passing ability and stability) has been developed, and is increasinglyreplacing vibrated concrete (VC) in variousstructural applications.SCC, which is characterised in its fresh state by high flow-ability andrheological stability, has excellent applicability for structural elements withcomplicated shapes and congested reinforcement. It has rationalisedthe construction process by offeringseveral economic and technical advantages over VC.Since the main characteristic of SCC is its flow-ability, its freshproperty cannot be thoroughly comprehended without understandingits rheology. The quality control and accurate prediction of the SCCrheology are crucial for the success of its production. The accurateprediction of the SCC flowing behaviour is not a simple task, particularlyin the presence of heavy reinforcement, complex formwork shapes andlarge size of aggregate. In this regard, the indispensable and inexpensiveapproach offering considerable potentialis the numerical simulation of SCC flow. This approach will deepenthe understanding of the SCC mixflow behaviour and evaluate its ability to meet the necessary self-compactingcriteria of passing ability and segregation resistance (i.e. homogeneousdistribution of coarse particles in the matrix). From a computational point of view,the Smooth Particle Hydrodynamics(SPH), being a mesh-free particle method, offersconsiderable potential in modelling SCC flow. Identifying SCC as a homogeneous fluid that consists of particlesof different sizes and shapes, SPHis an idealcomputational method to represent its rheological behaviourwithan acceptable level of accuracy.This methodology hasbeen used and proved to beefficient and accurate in modelling the flow and monitoring the movementof large aggregates and/or short steel fibres of SCC in the coneslump flow,L-box and J-ring tests [1–3].The SPH simulation methodology also provides a useful tool for predicting the yield stress (τy) of SCCmixes accurately in an inverse manner from the flow spread [4]. Thisis particularly relevant to the characterisation of an SCC mix becausethe measurement of τyby rheometers is inconsistent and fraught with inaccuracies.In addition, computational simulationscan also assist inproportioning SCC mixes, thus improving on the traditional trial anderror SCC mix design.This paperwill presentthestate of the artmodelling of SCC mix flow using SPHapproach. This methodology will provide a thoroughunderstanding of whether or notan SCC mix can satisfy self-compatibility criteriaduring slump flow, L-box, J-ring and V-funnel tests. The accuracyof the SPHpredictionswill bebenchmarked against the observations made in the laboratory tests.

Item Type: Conference or Workshop Item (Lecture)
Status: Unpublished
Schools: Engineering
Last Modified: 24 Feb 2020 12:45
URI: http://orca-mwe.cf.ac.uk/id/eprint/128073

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