Of C50 Self-compacting Concrete Preparation And Coarse Aggregate On Elastic Modulus, Impact Studies,

Recently, the high-strength self-compacting concrete(SCC) is used widely. However, the characteristic of low elastic modulus restricts its application in great extent and increasing the elastic modulus of self-compacting concrete is meaningful. This paper studies the mineral admixture system of the C50 SCC and mixing the C50 SCC, and the effect of coarse aggregate volume, strength, the maximum size, filling degree, surface rough degree, particle size, acicular coarse aggregate volume on the elastic modulus of SCC are studied. Finally, use the neural network to forecast the elastic modulus of the c50 SCC. The main conclusions are as follows:1. The research results of mineral admixture show that: When the ratio of slag content to fly ash is 1:4, the compaction of the composed power is increased greatly, the content of water needed in the binder system is reduced, the inner structure of the cement paste is improved, and the strength is increased, and this supplies the technical support for mixing low W/B and high-strength SCC.2. The mixing experimental results of C50 SCC show that the controlling range of mixing proportion parameter is: 500 to 600 kg/m~3 of binder content, 20% to 40% of UFS replacement, 40% to 46% of sand ratio, 0.28 to 0.32 of W/B, 1.0% to 1.4% of SP (FDN), <5% of acicular coarse aggregate volume.3. The relative surface rough degree, spheric modulus and the filling degree can evaluate the surface rough degree, particle size and the porosity of the coarse aggregate quantitatively, and this gives the prerequisite condition for establishing the functional relations between them and the elastic modulus of SCC.4. The effect of aggregate size parameter, strength, content on the elastic modulus is different. The affecting extent are as follows: strength>content>filling degree>surface rough degree>spheric modulus>acicular coarse aggregate volume>particle size.5. The neural network can forecast the elastic modulus of SCC exactly, and the relative error between the forecast value and the measure value is under 10%.6. Controlling the aggregate parameter can mix SCC with high elastic modulus, and it provides the reliable guarantee for the widely application of SCC.