Seasonal and temperature adjustment models of pavement properties from seismic nondestructive evaluation

N. Gucunski, R. Hadidi, S. Zaghloul, A. Maher, Parisa Shokouhi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

New Jersey Department of Transportation (NJDOT) initiated a study with an objective to calibrate the AASHTO seasonal and temperature adjustment models, or to develop new ones that will take into consideration New Jersey specific environmental conditions. To achieve the objective, twenty-four pavement sections were instrumented to monitor pavement temperature and moisture, frost/heave penetration depth, rainfall and air temperature. A nondestructive testing (NDT) program was conducted on these sections for a period of two years. Seismic Pavement Analyzer (SPA) and Falling Weigh Deflectometer (FWD) were used to evaluate the pavement structural response and pavement properties (elastic moduli) on a monthly basis. From the collected environmental and NDT data, temperature and seasonal models were developed through statistical analyses, such as analysis of variance (ANOVA) and regression analysis. The scope of the project is presented and pavement evaluations using SPA are discussed. Correlation of pavement layer moduli to environmental variables from three seismic tests: Ultrasonic Surface Wave (USW), Impulse Response (IR), and Spectral Analysis of Surface Waves (SASW) are presented and observed trends are discussed. Copyright ASCE 2006.

Original languageEnglish (US)
Title of host publicationPavement Mechanics and Performance
Pages15-21
Number of pages7
Edition154
DOIs
StatePublished - Dec 18 2006
EventPavement Mechanics and Performance - Shanghai, China
Duration: Jun 6 2006Jun 8 2006

Publication series

NameGeotechnical Special Publication
Number154
ISSN (Print)0895-0563

Other

OtherPavement Mechanics and Performance
CountryChina
CityShanghai
Period6/6/066/8/06

Fingerprint

pavement
Pavements
nondestructive methods
frost heave
temperature
environmental factors
nondestructive testing
modulus of elasticity
Temperature
spectral analysis
ultrasonics
air temperature
regression analysis
analysis of variance
Nondestructive examination
variance analysis
Surface waves
surface wave
rain
monitoring

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Architecture
  • Building and Construction
  • Geotechnical Engineering and Engineering Geology

Cite this

Gucunski, N., Hadidi, R., Zaghloul, S., Maher, A., & Shokouhi, P. (2006). Seasonal and temperature adjustment models of pavement properties from seismic nondestructive evaluation. In Pavement Mechanics and Performance (154 ed., pp. 15-21). (Geotechnical Special Publication; No. 154). https://doi.org/10.1061/40866(198)3
Gucunski, N. ; Hadidi, R. ; Zaghloul, S. ; Maher, A. ; Shokouhi, Parisa. / Seasonal and temperature adjustment models of pavement properties from seismic nondestructive evaluation. Pavement Mechanics and Performance. 154. ed. 2006. pp. 15-21 (Geotechnical Special Publication; 154).
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Gucunski, N, Hadidi, R, Zaghloul, S, Maher, A & Shokouhi, P 2006, Seasonal and temperature adjustment models of pavement properties from seismic nondestructive evaluation. in Pavement Mechanics and Performance. 154 edn, Geotechnical Special Publication, no. 154, pp. 15-21, Pavement Mechanics and Performance, Shanghai, China, 6/6/06. https://doi.org/10.1061/40866(198)3

Seasonal and temperature adjustment models of pavement properties from seismic nondestructive evaluation. / Gucunski, N.; Hadidi, R.; Zaghloul, S.; Maher, A.; Shokouhi, Parisa.

Pavement Mechanics and Performance. 154. ed. 2006. p. 15-21 (Geotechnical Special Publication; No. 154).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Gucunski N, Hadidi R, Zaghloul S, Maher A, Shokouhi P. Seasonal and temperature adjustment models of pavement properties from seismic nondestructive evaluation. In Pavement Mechanics and Performance. 154 ed. 2006. p. 15-21. (Geotechnical Special Publication; 154). https://doi.org/10.1061/40866(198)3