| dc.contributor.author | Rosyidi, Sri Atmaja P. | |
| dc.date.accessioned | 2020-08-27T04:46:26Z | |
| dc.date.available | 2020-08-27T04:46:26Z | |
| dc.date.issued | 2020-01-29 | |
| dc.identifier.uri | http://repository.umy.ac.id/handle/123456789/35425 | |
| dc.description.abstract | This paper employs an improved continuous wavelet transform (CWT) technique of Gaussian derivative
function and impulse response filtering (IRF) in seismic surface wave analysis to improve data analysis in
the Spectral Analysis of Surface Wave (SASW) method. Two procedures were used: first, the response
spectrum of interest was chosen using a time–frequency wavelet spectrogram. Then, noisy distortions
were eliminated by utilizing a time–frequency wavelet and impulse response filtering. The outcomes
show that the SASW method is able to identify the surface wave velocity which coincides with the
dynamic stiffness parameters of Portland Cement Concrete (PCC) slabs. The values of surface wave velocity
increased during the curing stage, and in situ measurement of wave velocity could be helpful in determining
the degree of curing. A good congruence has been demonstrated between the stiffness of PCC
obtained from SASW measurements vis a vis that obtained using the American Concrete Institute (ACI)
formulation. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Ain Shams Engineering Journal | en_US |
| dc.subject | Pavement stiffness, PCC rigid pavement, Surface wave technique | en_US |
| dc.title | Integrated time-frequency wavelet analysis and impulse response filtering on SASW test for rigid pavement stiffness prediction | en_US |
| dc.type | Article | en_US |
