2016
DOI: 10.1155/2016/2761294
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Properties of Self-Compacting Concrete with Recycled Coarse Aggregate

Abstract: The utilisation of recycled concrete aggregate (RCA) in Self-Compacting Concrete (SCC) has the potential to reduce both the environmental impact and financial cost associated with this increasingly popular concrete type. However, to date limited research exists exploring the use of coarse RCA in SCC. The work presented in this paper seeks to build on the existing knowledge in this area by examining the workability, strength, and fracture properties of SCCs containing 0%, 25%, 50%, 75%, and 100% coarse RCA. The… Show more

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Cited by 59 publications
(52 citation statements)
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“…erefore, particle clumps with irregular geometries were implemented in the simulation. Tang et al [24] developed a method to generate particles with irregular geometries. However, postsimulation revealed that such a method can only produce irregular particles with high efficiency when the size of the model is relatively small.…”
Section: Simulation Methods For Capturing the Shapes Of Particlesmentioning
confidence: 99%
See 1 more Smart Citation
“…erefore, particle clumps with irregular geometries were implemented in the simulation. Tang et al [24] developed a method to generate particles with irregular geometries. However, postsimulation revealed that such a method can only produce irregular particles with high efficiency when the size of the model is relatively small.…”
Section: Simulation Methods For Capturing the Shapes Of Particlesmentioning
confidence: 99%
“…e granular particle size distribution between the numerical model and actual samples is shown in Figure 3, which demonstrates high consistency between the two. A closer examination of the calcite crystals obtained using the optimised irregular particle generation algorithm (c � 0.25) suggests that such a method provides a better description of the crystal boundary features and therefore a more accurate characterization of the sample in comparison to the conventional algorithm [24] (Table 1). Furthermore, the morphology of the crystals generated using the new algorithm shows a strong similarity to the XCT scanned morphology of the particles obtained under typical testing conditions (Figure 4).…”
Section: Methods For Constructing the Numerical Model For Typicalmentioning
confidence: 99%
“…(LWA60). In fact, sharp shape and rough surface of AAC-LWA could decrease the slump value due to interlocking and internal friction among materials [11]. However, in this case, the slump value was mainly dominated by water retainability, extra water on the surface of AAC particles.…”
Section: Slump Testmentioning
confidence: 92%
“…Tais resíduos são diversas vezes descartados em locais impróprios, impactando significantemente o meio ambiente [2].…”
Section: -Considerações Iniciaisunclassified