Integrated time-frequency wavelet analysis and impulse response filtering on SASW test for rigid pavement stiffness prediction
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 resp...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-03-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447920301106 |
| _version_ | 1830192791709286400 |
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| author | Sri Atmaja P. Rosyidi Nur Izzi Md. Yusoff Norfarah Nadia Ismail Muhamad Razuhanafi Mat Yazid |
| author_facet | Sri Atmaja P. Rosyidi Nur Izzi Md. Yusoff Norfarah Nadia Ismail Muhamad Razuhanafi Mat Yazid |
| author_sort | Sri Atmaja P. Rosyidi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-18T00:02:22Z |
| format | Article |
| id | doaj.art-94fc795d4acc42f2a920e6d648e003dc |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-12-18T00:02:22Z |
| publishDate | 2021-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-94fc795d4acc42f2a920e6d648e003dc2022-12-21T21:27:56ZengElsevierAin Shams Engineering Journal2090-44792021-03-01121367380Integrated time-frequency wavelet analysis and impulse response filtering on SASW test for rigid pavement stiffness predictionSri Atmaja P. Rosyidi0Nur Izzi Md. Yusoff1Norfarah Nadia Ismail2Muhamad Razuhanafi Mat Yazid3Dept. of Civil Engineering, Universitas Muhammadiyah Yogyakarta, Jalan Brawijaya (Lingkar Selatan), Bantul, 55183 Yogyakarta, IndonesiaDept. of Civil Engineering, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia; Corresponding author.Dept. of Civil Engineering, International Islamic University Malaysia, Gombak, Selangor, MalaysiaDept. of Civil Engineering, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaThis 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.http://www.sciencedirect.com/science/article/pii/S2090447920301106Pavement stiffnessPCC rigid pavementSurface wave technique |
| spellingShingle | Sri Atmaja P. Rosyidi Nur Izzi Md. Yusoff Norfarah Nadia Ismail Muhamad Razuhanafi Mat Yazid Integrated time-frequency wavelet analysis and impulse response filtering on SASW test for rigid pavement stiffness prediction Ain Shams Engineering Journal Pavement stiffness PCC rigid pavement Surface wave technique |
| title | Integrated time-frequency wavelet analysis and impulse response filtering on SASW test for rigid pavement stiffness prediction |
| title_full | Integrated time-frequency wavelet analysis and impulse response filtering on SASW test for rigid pavement stiffness prediction |
| title_fullStr | Integrated time-frequency wavelet analysis and impulse response filtering on SASW test for rigid pavement stiffness prediction |
| title_full_unstemmed | Integrated time-frequency wavelet analysis and impulse response filtering on SASW test for rigid pavement stiffness prediction |
| title_short | Integrated time-frequency wavelet analysis and impulse response filtering on SASW test for rigid pavement stiffness prediction |
| title_sort | integrated time frequency wavelet analysis and impulse response filtering on sasw test for rigid pavement stiffness prediction |
| topic | Pavement stiffness PCC rigid pavement Surface wave technique |
| url | http://www.sciencedirect.com/science/article/pii/S2090447920301106 |
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