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Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 8, 2012 - Issue 9
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Original Articles

Instantaneous pavement condition evaluation using non-destructive neuro-evolutionary approach

Pages 857-872 | Received 03 Feb 2009, Accepted 26 Jan 2010, Published online: 15 Apr 2010

References

  • Ahlvin , R. G. , Ulery , H. H. , Hutchinson , R. L. and Rice , J. L. 1971 . “ Multiple-wheel heavy gear load pavement tests. Vol. 1: Basic report ” . Technical Report No. AFWL-TR-70-113, US Army Engineer Waterways Experiment Station, Vicksburg, Mississippi
  • Alkasawneh , W. 2007 . Back-calculation of pavement moduli using genetic algorithms Dissertation (PhD). Department of Civil Engineering, University of Akron, Akron, Ohio
  • Brown , S. F. and Pappin , J. W. 1981 . “ Analysis of pavements with granular bases ” . In Transportation Research Record 810 TRB, National Research Council: Washington, DC, 17–23
  • Ceylan , H. , Guclu , A. , Bayrak , M. B. and Gopalakrishnan , K. 2007 . “ Nondestructive evaluation of Iowa pavements ” . Phase I, CTRE, Iowa State University, Ames, IA, CTRE Project 04-177, December
  • FAA . 2004 . Use of nondestructive testing in the evaluation of airport pavements FAA Advisory Circular No. 150/5730-11A, Office of Airport Safety and Standards, Federal Aviation Administration, U.S. Department of Transportation, Washington, DC
  • Fwa , T. F. , Tan , C. Y. and Chan , W. T. 1997 . Back-calculation analysis of pavement-layer moduli using genetic algorithms . Transportation Research Record , 1570 : 134 – 142 .
  • Frenzel , J. 1993 . Genetic algorithms. A new breed of optimisation . IEEE Potentials , 12 ( 3 ) : 21 – 24 .
  • Garg , N. , Tutumluer , E. and Thompson , M. R. Structural modeling concepts for the design of airport pavements for heavy aircraft . Proceedings of the 5th international conference on the bearing capacity of roads and airfields . July 1998 , Trondheim , Norway. pp. 115 – 124 .
  • Garg , N. and Marsey , W. H. Comparison between falling weight deflectometer and static deflection measurements on flexible pavements at the National Airport Pavement Test Facility (NAPTF) . Proceedings of the 2002 Federal Aviation Administration airport technology transfer conference . May 2002 , Chicago . pp. 1 – 11 .
  • Ghuzlan , K. A. 2001 . Fatigue damage analysis in asphalt concrete mixtures based upon dissipated energy concepts Dissertation (PhD). University of Illinois at Urbana-Champaign
  • Goktepe , A. B. , Agar , E. and Lav , A. H. 2005 . Comparison of multilayer perceptron and adaptive neuro-fuzzy system on back-calculating the mechanical properties of flexible pavements . ARI: The Bulletin of the Istanbul Technical University , 54 ( 3 ) : 1 – 13 .
  • Goldberg , D. E. 1989 . Genetic algorithms in search, optimisation and machine learning , Reading , MA : Addison Wesley .
  • Gomez-Ramirez , F. M. and Thompson , M. R. 2002 . “ Characterising aircraft multiple wheel load interaction for airport flexible pavement design ” . FAA-COE Report No. 20, Department of Civil Engineering, University of Illinois, Urbana-Champaign
  • Gopalakrishnan , K. and Thompson , M. R. Back-calculation of airport flexible pavement non-linear moduli using artificial neural networks . Proceedings of the 17th international FLAIRS conference . May , Miami Beach , Florida . pp. 652 – 657 . Florida Intelligence Research Symposium .
  • Gopalakrishnan , K. 2004 . Performance analysis of airport flexible pavement subjected to new generation aircraft Dissertation (PhD). December. University of Illinois at Urbana-Champaign
  • Gopalakrishnan , K. and Thompson , M. R. 2006 . Severity effects of dual-tandem and dual-tridem repeated heavier aircraft gear loading on pavement rutting performance . International Journal of Pavement Engineering , 7 ( 3 ) : 179 – 190 .
  • Gopalakrishnan , K. , Thompson , M. R. and Manik , A. 2007 . Rapid finite-element based airport pavement moduli solutions using neural networks . International Journal of Computational Intelligence , 3 ( 1 ) : 63 – 71 .
  • Gopalakrishnan , K. , Ceylan , H. and Guclu , A. 2009 . Airfield pavement deterioration assessment using stress-dependent neural network models . Structure and Infrastructure Engineering , 5 ( 6 ) : 487 – 496 .
  • Gopalakrishnan , K. 2009 . Back-calculation of non-linear pavement moduli using finite-element based neuro-genetic hybrid optimisation . Open Civil Engineering Journal , 3 : 83 – 92 .
  • Gucunski , N. and Kristic , V. 1996 . “ Back-calculation of pavement profiles from spectral analysis of surface waves test using neural networks using individual receiver spacing approach ” . In Transportation Research Record 1526 , 6 – 13 . Washington , DC : TRB, National Research Council .
  • Hayhoe , G. H. LEAF – A new layered elastic computational program for FAA pavement design and evaluation procedures . Proceedings of the 2002 Federal Aviation Administration airport technology transfer conference . May 5–8 2002 . pp. 1 – 15 . Atlantic City , New Jersey
  • Hayhoe , G. F. , Garg , N. and Dong , M. Permanent deformations during traffic tests on flexible pavements at the National Airport Pavement Test Facility . Proceedings of the 2003 ASCE airfield pavement specialty conference . September 2003 , Las Vegas , NV . pp. 147 – 169 .
  • Hayhoe , G. F. and Garg , N. 2001 . “ Material properties database for the test pavements at the National Airport Pavement Test Facility (NAPTF) ” . Technical Report. Airport Technology Research and Development Branch, Federal Aviation Administration, NJ
  • Haykin , S. 1999 . Neural networks: A comprehensive foundation , NJ , , USA : Prentice-Hall, Inc .
  • Hicks , R. G. and Monismith , C. L. 1971 . “ Factors influencing the resilient properties of granular materials ” . In Transportation Research Record 345 , 15 – 31 . Washington , DC : TRB, National Research Council .
  • Hoffman , M. S. and Thompson , M. R. 1982 . Back-calculating nonlinear resilient moduli from deflection data . Transportation Research Record , 852 : 42 – 51 .
  • Holland , J. H. 1975 . Adaption in natural and artificial systems , Ann Arbor : University of Michigan Press .
  • Houck , C. , Joines , J. and Kay , M. 1995 . “ A genetic algorithm for function optimisation: A Matlab implementation ” . North Carolina State University, Raleigh, North Carolina, Research Report NCSU-IE TR 95-09
  • Jain , A. , Varshney , A. K. and Joshi , U. C. 2001 . Short term water demand forecast modeling at IIT Kanpur using artificial neural networks . Water Resource Management , 15 ( 5 ) : 299 – 321 .
  • Khazanovich , L. and Roesler , J. 1997 . “ DIPLOBACK: Neural network based back-calculation program for composite pavements ” . In Transportation Research Record 1570 , 143 – 150 . Washington , DC : TRB, National Research Council .
  • Kim , Y. and Kim , R. Y. 1998 . “ Prediction of layer moduli from falling weight deflectometer and surface wave measurements using artificial neural network ” . In Transportation Research Record 1639 , 53 – 61 . Washington , DC : TRB, National Research Council .
  • Lee , Y.-C. , Kim , Y. R. and Ranjithan , S. R. 1998 . “ Dynamic analysis-based approach to determine flexible pavement layer moduli using deflection basin parameters ” . In Transportation Research Record 1639 , Washington , DC : TRB, National Research Council .
  • McQueen , R. D. , Marsey , W. and Arze , J. M. Analysis of nondestructive data on flexible pavement acquired at the National Airport Pavement Test Facility . Proceedings of the airfield pavement specialty conference . ASCE , Chicago . pp. 267 – 278 .
  • Meier , R. W. and Rix , G. J. 1995 . “ Back-calculation of flexible pavement moduli from dynamic deflection basins using artificial neural networks ” . In Transportation Research Record 1473 , 72 – 81 . Washington , DC : TRB, National Research Council .
  • Meier , R. W. , Alexander , D. R. and Freeman , R. 1997 . “ Using artificial neural networks as a forward approach to back-calculation ” . In Transportation Research Record 1570 , 126 – 133 . Washington , DC : TRB, National Research Council .
  • Padmini , D. , Ilamparuthi , K. and Sudheer , K. P. 2008 . Ultimate bearing capacity prediction of shallow foundations on cohesionless soils using neurofuzzy models . Computers and Geotechnics , 35 : 33 – 46 .
  • Park , H. M. , Park , S. W. and Hwang , J. J. Use of genetic algorithm and finite element method for back-calculating layer moduli in asphalt pavements . Proceedings of the TRB 86th annual meeting compendium of papers . Washington , DC .
  • Peckcan , O. , Tutumluer , E. and Thompson , M. R. 2008 . “ Nondestructive pavement evaluation using ILLI-PAVE based artificial neural network models ” . Illinois Center for Transportation, Champaign, IL, Research Report FHWA-ICT-08-022, September
  • Raad , L. and Figueroa , J. L. 1980 . Load response of transportation support systems . Journal of Transportation Engineering , 106 ( TE1 ) : 111 – 128 .
  • Rada , G. and Witczak , M. W. 1981 . “ Comprehensive evaluation of laboratory resilient moduli results for granular material ” . In Transportation Research Record 810 , Washington , DC : TRB, National Research Council .
  • Rakesh , N. , Jain , A. K. , Amaranatha Reddy , M. and Sudhakar Reddy , K. 2006 . Artificial neural networks – genetic algorithm based model for back-calculation of pavement layer moduli . International Journal of Pavement Engineering , 7 ( 3 ) : 221 – 230 .
  • Reddy , M. A. , Reddy , K. S. and Pandey , B. B. 2002 . Back-calculation of pavement moduli using genetic algorithms . Journal of the Highways Research Board , 66 : 1 – 10 .
  • Sharp , K. G. and Johnson-Clarke , J. R. Australian experience in the accelerated testing of pavements . Proceedings of the 13th International Road Federation (IRF) world meeting . Toronto , Canada.
  • Sivaneswaran , N. , Kramer , S. L. and Mahoney , J. P. 1991 . Advanced back-calculation using a non-linear least squares optimisation technique . Transportation Research Record , 1293 : 93 – 102 .
  • Srinivas , M. and Patnaik , L. M. 1994 . Genetic algorithms: A survey . IEEE Computer , 27 ( 6 ) : 17 – 26 .
  • Tayabji , S. D. and Lukanen , E. O. 2000 . “ Nondestructive testing of pavements and back-calculation of moduli ” . In ASTM Special Technical Publication (STP) 1375
  • Terzi , S. , Saltan , M. and Yildirim , T. Optimisation of deflection basin by genetic algorithm and neural network approach . Proceedings of the international conference on neural networks (ICANN/ICONIP) . June 26–29 2003 , Istanbal , Turkey. pp. 662 – 670 . Berlin-Heidelberg : Springer-Verlag .
  • The Asphalt Institute . 1982 . Research and development of the Asphalt Institute's thickness design manual (MS-1) , 9th edn Research Report No. 82-2. College Park, Maryland: The Asphalt Institute
  • Thompson , M. R. ILLI-PAVE based conventional flexible pavement design procedure . Proceedings of the 7th international conference on asphalt pavements . Nottingham . pp. 222 – 230 .
  • Thompson , M. R. and Elliot , R. P. 1985 . “ ILLI-PAVE based response algorithms for design of conventional flexible pavements ” . In Transportation Research Record 1043 , 50 – 57 . Washington , DC : TRB, National Research Council .
  • Thompson , M. R. , Tutumluer , E. and Bejarano , M. 1998 . “ Granular material and soil moduli review of the literature ” . FAA-COE Report No. 1, Department of Civil Engineering, University of Illinois, Urbana-Champaign
  • Uzan , J. 1994 . “ Advanced back-calculation techniques ” . In NDT of pavements and back-calculation of moduli Edited by: Von Quintus , H. L. , Bush , A. J. and Baladi , G. Y. Vol. 2 , ASTM Special Technical Publication (STP) 1198, 3–37

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