Green concrete mix proportion optimization method
An optimization method and concrete technology, which is applied in the field of concrete for building pouring, can solve problems such as environmental pollution, harmful dust emissions, and design methods that do not have universal applicability
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Embodiment 1
[0117] 1. Material testing
[0118] Material parameter determination:
[0119] The particle size distribution test of the gelled material was measured by a laser particle size analyzer, and the results are shown in Table 1 and Table 2.
[0120] Table 1 Granularity distribution of arbitrary grades of cement C
[0121]
[0122] Table 2 Particle size distribution of class Ⅱ fly ash FA in random classification
[0123]
[0124]
[0125] See Table 3 for raw material densities.
[0126] Table 3 Measured density of raw materials
[0127]
[0128] The remaining packing density of the cementitious material was measured by the minimum water demand method, and the results are shown in Table 4.
[0129] Table 4 The measured packing density and residual packing density of powder materials
[0130]
[0131] The remaining packing density of each particle size of sand and gravel is determined after the actual packing density is measured by the drainage method. The results ...
Embodiment 2
[0150] 1. Material testing
[0151] The materials used are consistent with Example 1.
[0152] 2. Mixing ratio cycle optimization process
[0153] As shown in Table 7
[0154] Table 7 Mixing ratio cycle optimization process 2
[0155]
[0156] Process 1:
[0157] The predicted slump of the reference group is 131mm, and the compressive strength is f 28d =56.6MPa, firstly adjust the gradation of sand and gravel, so that the packing density of the mixture is further increased to 0.8275, through calculation, the workability influence coefficient W drops from 0.9928 to 0.9728, and the predicted value of work performance is 158mm, which decreases at this time Water consumption up to 178L / m 3 , make W=0.9928, which is consistent with the original work performance, that is, slump=131mm, and then calculate the equivalent cement particle gap index S=0.7833, and the predicted value of the 28d compressive strength is f 28d =62.4MPa;
[0158] Process 2:
[0159] Due to the optim...
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