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Original Articles

Artificial neural networks—genetic algorithm based model for backcalculation of pavement layer moduli

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Pages 221-230 | Received 22 Feb 2005, Accepted 28 Nov 2005, Published online: 31 Jan 2007

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Teron Nguyen, Jun Yew Tan & Nyok Yong Ho. (2023) Deflection bowl parameters for falling weight deflectometer testing: data collection and threshold benchmarking. International Journal of Pavement Engineering 24:2.
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Kasthurirangan Gopalakrishnan. (2012) Instantaneous pavement condition evaluation using non-destructive neuro-evolutionary approach. Structure and Infrastructure Engineering 8:9, pages 857-872.
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Yendrembam Arunkumar Singh, Teiborlang Lyngdoh Ryntathiang & Konjengbam Darunkumar Singh. (2012) An investigation of plastic cell filled concrete block pavement (PCCBP) overlay. Road Materials and Pavement Design 13:2, pages 345-359.
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Yendrembam Arunkumar Singh, Teiborlang Lyngdoh Ryntathiang & Konjengbam Darunkumar Singh. (2012) Structural assessment of plastic cell-filled concrete block pavement (PCCBP): an experimental study. International Journal of Pavement Engineering 13:3, pages 267-279.
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Ryan C. Romeo, R. Benjamin Davis, Hyung S. Lee, Stephan A. Durham & S. Sonny Kim. (2023) A tandem trust-region optimization approach for ill-posed falling weight deflectometer backcalculation. Computers & Structures 275, pages 106935.
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Gamal M. Mabrouk, Omar S. Elbagalati, Samer Dessouky, Luis Fuentes & Lubinda F. Walubita. (2022) Using ANN modeling for pavement layer moduli backcalculation as a function of traffic speed deflections. Construction and Building Materials 315, pages 125736.
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Shadi Fathi & Moura Mehravar. 2022. Advances in Transportation Geotechnics IV. Advances in Transportation Geotechnics IV 931 941 .
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Xiaorui Zhang, Frédéric Otto & Markus Oeser. (2021) Pavement moduli back-calculation using artificial neural network and genetic algorithms. Construction and Building Materials 287, pages 123026.
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Archana Mosale Ramanath, Anjaneyappa VenkateshappaAmarnath Macheri SrinivasaraoVeeraragavan Amirthalingam. (2020) Benchmarking Falling Weight Deflectometer Deflection Bowl Parameters: Case Study for Indian Conditions and the Applications to Rehabilitation Design. Journal of Transportation Engineering, Part B: Pavements 146:3, pages 05020003.
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Ali Reza Ghanizadeh, Nasrin Heidarabadizadeh & Farhang Jalali. (2020) Artificial neural network back-calculation of flexible pavements with sensitivity analysis using Garson’s and connection weights algorithms. Innovative Infrastructure Solutions 5:2.
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Onur PEKCAN. (2020) LEAGUE CHAMPIONSHIP ALGORITHM FOR LAYER MODULI ESTIMATION OF FULL-DEPTH ASPHALT PAVEMENTSTAM DERİNLİKLİ ESNEK ÜSTYAPILARIN KATMAN ÖZELLİKLERİNİN TAHMİNİ İÇİN LİG ŞAMPİYONASI ALGORİTMASI. Mühendislik Bilimleri ve Tasarım Dergisi 8:1, pages 273-284.
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Ronald Roberts, Gaspare Giancontieri, Laura Inzerillo & Gaetano Di Mino. (2020) Towards Low-Cost Pavement Condition Health Monitoring and Analysis Using Deep Learning. Applied Sciences 10:1, pages 319.
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Gaetano Bosurgi, Orazio Pellegrino & Giuseppe Sollazzo. (2019) Optimizing Artificial Neural Networks For The Evaluation Of Asphalt Pavement Structural Performance. The Baltic Journal of Road and Bridge Engineering 14:1, pages 58-79.
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Hamidreza MashayekhLoukas F. KallivokasJohn L. Tassoulas. (2018) Parameter Estimation in Layered Media Using Dispersion-Constrained Inversion. Journal of Engineering Mechanics 144:11.
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Christina Plati, Konstantina Georgouli, Brad Cliatt & Andreas Loizos. (2017) Incorporation of GPR data into genetic algorithms for assessing recycled pavements. Construction and Building Materials 154, pages 1263-1271.
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Omar ElbagalatiMostafa A. ElseifiKevin GaspardZhongjie Zhang. (2017) Development of an artificial neural network model to predict subgrade resilient modulus from continuous deflection testing. Canadian Journal of Civil Engineering 44:9, pages 700-706.
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Madhu Lisha PattanaikRajan ChoudharyBimlesh Kumar. (2017) Evaluation of Frictional Pavement Resistance as a Function of Aggregate Physical Properties. Journal of Transportation Engineering, Part B: Pavements 143:2.
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G. Fileccia Scimemi, T. Turetta & C. Celauro. (2016) Backcalculation of airport pavement moduli and thickness using the Lévy Ant Colony Optimization Algorithm. Construction and Building Materials 119, pages 288-295.
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Morteza Vadood, Majid Safar Johari & Ali Reza Rahai. (2015) Relationship between fatigue life of asphalt concrete and polypropylene/polyester fibers using artificial neural network and genetic algorithm. Journal of Central South University 22:5, pages 1937-1946.
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Nima Kargah-OstadiShelley M. Stoffels. (2015) Backcalculation of Flexible Pavement Structural Properties Using a Restart Covariance Matrix Adaptation Evolution Strategy. Journal of Computing in Civil Engineering 29:2.
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Roland Hostettler, Magnus Lundberg Nordenvaad & Wolfgang Birk. (2014) The Pavement as a Waveguide: Modeling, System Identification, and Parameter Estimation. IEEE Transactions on Instrumentation and Measurement 63:8, pages 2052-2063.
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Gloria Inés Beltran & Miguel Pedro Romo. (2014) Assessing artificial neural network performance in estimating the layer properties of pavements. Ingeniería e Investigación 34:2, pages 11-16.
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Serdal Terzi, Mehmet Saltan, Ecir Uğur Küçüksille & Mustafa Karaşahin. (2012) Backcalculation of pavement layer thickness using data mining. Neural Computing and Applications 23:5, pages 1369-1379.
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Habib ShahnazariMohammad A. TutunchianMehdi MashayekhiAmir A. Amini. (2012) Application of Soft Computing for Prediction of Pavement Condition Index. Journal of Transportation Engineering 138:12, pages 1495-1506.
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Mehmet Saltan, Serdal Terzi & Ecir Uğur Küçüksille. (2011) Backcalculation of pavement layer moduli and Poisson’s ratio using data mining. Expert Systems with Applications 38:3, pages 2600-2608.
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Mehmet Saltan & Serdal Terzi. 2009. Intelligent and Soft Computing in Infrastructure Systems Engineering. Intelligent and Soft Computing in Infrastructure Systems Engineering 177 204 .
Maryam Miradi, Andre A. A. Molenaar & Martin F. C. van de Ven. 2009. Intelligent and Soft Computing in Infrastructure Systems Engineering. Intelligent and Soft Computing in Infrastructure Systems Engineering 107 176 .

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