An Algorithm to Estimate Rational Values of Phase Angles and Moduli of Asphalt Mixtures

Ahmed, Abubeker W.Statens väg- och transportforskningsinstitut,Väg- och banteknik, VBA (author)

QC 20150202. QC 20200709
The objective of this study was to develop and evaluate an algorithm based on Fast Fourier Transform (FFT) that can calculate rational values of phase angle (f) and moduli of the variants of asphalt mixtures for the data obtained from the different frequency sweep tests. f and moduli for ten different asphalt mixtures resulting in over 690 data points collected from both USA and Sweden were computed using FFT. Theoretical observations revealed that there were significant differences for f between FFT and other methods to the order of 10-50%; however, there was no difference in moduli estimates for any mix and was independent of the test. Precisely, the FFT method produced rational f for mixtures that deviate from conventional mixture properties. Furthermore, statistical comparisons corroborated the predicted f estimates indicative of significant differences between the analysis techniques; but, the moduli were unaffected by the analysis methods. The study successfully illustrated the FFT technique, a user-friendly analytical procedure that can obviate the errors in the rational estimation of the acutely sensitive viscoelastic parameters.

Biligiri, Krishna PrapoornaDepartment of Civil Engineering Indian Institute of Technology Kharagpur (author)
Hakim, HassanStatens väg- och transportforskningsinstitut,Väg- och banteknik, VBA(Swepub:vti)hassan.hakim@vti.se (author)
Statens väg- och transportforskningsinstitutVäg- och banteknik, VBA (creator_code:org_t)

In:International Journal of Pavement Research and TechnologyTaiwan : Chinese Society of Pavement Engineering6:6, s. 745-7541996-68141997-1400

By the author/editor: Ahmed, Abubeker ...; Biligiri, Krishn ...; Hakim, Hassan

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Civil Engineerin ...; and Infrastructure E ...

By the university: Royal Institute of Technology; VTI - The Swedish National Road and Transport Research Institute

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.