Genetic algorithm framework for p-y curve derivation Conference Paper

  


Authors: Favaretti, C.; Ceglia, N. J.; Lemnitzer, A.; Silvestri, F.; Moraci, N.
Title: Genetic algorithm framework for p-y curve derivation
Conference Title: 7th International Conference on Earthquake Geotechnical Engineering
Abstract: Subgrade reaction methods, as implemented through the p-y curve analysis, remain the most globally utilized analytical tool to characterize the lateral response of deep foundations. As recognized by many researchers, traditional procedures are known pose challenges in obtaining suitable data fits, or mathematical difficulties associated with data differentiation. The results obtained from a model-scale lateral loaded test on a concrete pile in sand are presented and analyzed through an optimization technique. A genetic algorithm framework is developed to facilitate data interpretation in presence of disturbed data readings and pile nonlinearity. This approach overcomes existing challenges affecting the experimental derivation of p-y curves (e.g. choice of fitting technique and input parameters) by using an ensemble of statistical methods and minimizing an objective fitness function. Experimentally derived p-y curves are then compared with traditional analytical models found in literature. © 2019 Associazione Geotecnica Italiana, Rome, Italy.
Keywords: fitness functions; data interpretation; curve fitting; genetic algorithms; optimization techniques; lateral response; earthquakes; pile foundations; piles; algorithm framework; fitting techniques; mathematical difficulty; subgrade reaction method; geotechnical engineering
Journal Title Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions
Conference Dates: 2019 Jun 17-20
Conference Location: Rome, Italy
ISBN: 978-0-367-14328-2
Publisher: Crc Press/balkema  
Location: Leiden, Netherlands
Date Published: 2019-01-01
Start Page: 2341
End Page: 2348
Language: English
PROVIDER: scopus
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081181312&partnerID=40&md5=ae3850025bd75276867822e1951b3d0d
Notes: Conference Paper -- Volume 4 in the series "Proceedings of Earth and Geosciences" (ISSN: 2639-7749) -- Export Date: 1 April 2020 -- Source: Scopus