A symbolic dynamics approach to complexity analysis of concrete deformation based on wavelet de-noising
ABSTRACT :
The study approach of RCC(roller compacted concrete)
autogenously volume deformation complexity based on the de-noising of wavelet
transform from symbolic dynamics viewpoint is present in the paper. First, the
deformation sequences are de-noised by the wavelet transform and the noise is
filtered. Then the complexity of deformation is calculated with the Lempel-Ziv
algorithm. Finally the complexity of RCC volume deformation is quantitatively
analyzed in the practical engineering, and a new tool is provided to study the
complexity of concrete system. The results are as following: (1) the complexity
with wavelet de-noising is less than original sequence and has evident law. (2)
the deformation complexity of high volume fly-ash slag RCC is markedly larger
than that of RCC mixed with MgO.(3) the deformation complexity of early age RCC
is higher than that of 180d. (4) The complexity is greater along with the
higher temperature. (5) The deformation complexity of RCC mixed with
air-entraining agent is greater.
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