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Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 5, 2009 - Issue 6
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Original Articles

Airfield pavement deterioration assessment using stress-dependent neural network models

Kasthurirangan Gopalakrishnan Department of Civil and Environmental Engineering, Iowa State University, 353 Town Engineering Building, Ames, IA, 50011-3232, USACorrespondence[email protected]
,
Halil Ceylan Department of Civil and Environmental Engineering, Iowa State University, 353 Town Engineering Building, Ames, IA, 50011-3232, USA
&
Alper Guclu Department of Civil and Environmental Engineering, Iowa State University, 353 Town Engineering Building, Ames, IA, 50011-3232, USA
Pages 487-496 | Received 01 Jun 2006, Accepted 23 Feb 2007, Published online: 12 Aug 2009

Citations (12)

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Read on this site (4)

Konstantinos Gkyrtis, Christina Plati & Andreas Loizos. (2023) A step toward improving management practices for airfield pavement infrastructures: a mechanistic-based analysis approach. Structure and Infrastructure Engineering 0:0, pages 1-12.
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Christina Plati, Panos Georgiou & Vasilis Papavasiliou. (2016) Simulating pavement structural condition using artificial neural networks. Structure and Infrastructure Engineering 12:9, pages 1127-1136.
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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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DanM. Frangopol, Duygu Saydam & Sunyong Kim. (2012) Maintenance, management, life-cycle design and performance of structures and infrastructures: a brief review. Structure and Infrastructure Engineering 8:1, pages 1-25.
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Articles from other publishers (8)

Francesco Abbondati, Salvatore Antonio Biancardo, Rosa Veropalumbo, Xinqiang Chen & Gianluca Dell'Acqua. (2023) An adaptive neuro-fuzzy inference system for assessing runway friction decay. Measurement 213, pages 112737.
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Nicola Baldo, Fabio Rondinella & Clara Celauro. 2023. Trends on Construction in the Digital Era. Trends on Construction in the Digital Era 62 75 .
Md. Tofail Miah, Erwin Oh, Gary Chai & Phil Bell. 2022. Road and Airfield Pavement Technology. Road and Airfield Pavement Technology 219 240 .
Nicola Baldo, Matteo Miani, Fabio Rondinella & Clara Celauro. (2021) Artificial Neural Network Prediction of Airport Pavement Moduli Using Interpolated Surface Deflection Data. IOP Conference Series: Materials Science and Engineering 1203:2, pages 022112.
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Nicola Baldo, Matteo Miani, Fabio Rondinella & Clara Celauro. (2021) A Machine Learning Approach to Determine Airport Asphalt Concrete Layer Moduli Using Heavy Weight Deflectometer Data. Sustainability 13:16, pages 8831.
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Pekka LeviäkangasFarzad PargarKonsta Sirvio, Behrouz Khabbaz Beheshti & Peter E. D. Love. (2019) Service Value and Componentized Accounting of Infrastructure Assets. Journal of Infrastructure Systems 25:3.
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Andrzej Pożarycki. (2015) Pavement diagnosis accuracy with controlled application of artificial neural network. The Baltic Journal of Road and Bridge Engineering 10:4, pages 355-364.
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K. Gopalakrishnan & H. Papadopoulos. (2011) Reliable pavement backcalculation with confidence estimation. Scientia Iranica 18:6, pages 1214-1221.
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