Prenolin: International benchmark on 1D nonlinear: Site-response analysis—validation phase exercise

Julie Régnier, Luis Fabian Bonilla, Pierre Yves Bard, Etienne Bertrand, Fabrice Hollender, Hiroshi Kawase, Deborah Sicilia, Pedro Arduino, Angelo Amorosi, Dominiki Asimaki, Daniela Boldini, Long Chen, Anna Chiaradonna, Florent Demartin, Ahmed Elgamal, Gaetano Falcone, Evelyne Foerster, Sebastiano Foti, Evangelia Garini, George GazetasCéline Gélis, Alborz Ghofrani, Amalia Giannakou, James Gingery, Nathalie Glinsky, Joseph Harmon, Youssef Hashash, Susumu Iai, Steve Kramer, Stavroula Kontoe, Jozef Kristek, Giuseppe Lanzo, Annamaria Di Lernia, Fernando Lopez-Caballero, Marianne Marot, Graeme McAllister, E. Diego Mercerat, Peter Moczo, Silvana Montoya-Noguera, Michael Musgrove, Alex Nieto-Ferro, Alessandro Pagliaroli, Federico Passeri, Aneta Richterova, Suwal Sajana, Maria Paola Santisi D’Avila, Jian Shi, Francesco Silvestri, Mahdi Taiebat, Giuseppe Tropeano, Didrik Vandeputte, Luca Verrucci

Research output: Contribution to journalArticlepeer-review


This article presents the main results of the validation phase of the PRENOLIN project. PRENOLIN is an international benchmark on 1D nonlinear (NL) site-response analysis. This project involved 19 teams with 23 different codes tested. It was divided into two phases; with the first phase verifying the numerical solution of these codes on idealized soil profiles using simple signals and real seismic records. The second phase described in this article referred to code validation for the analysis of real instrumented sites. This validation phase was performed on two sites (KSRH10 and Sendai) of the Japanese strong-motion networks KiK-net and Port and Airport Research Institute (PARI), respectively, with a pair of accelerometers at surface and depth. Extensive additional site characterizations were performed at both sites involving in situ and laboratory measurements of the soil properties. At each site, sets of input motions were selected to represent different peak ground acceleration (PGA) and frequency content. It was found that the code-to-code variability given by the standard deviation of the computed surface-response spectra is around 0.1 (in log10 scale) regardless of the site and input motions. This indicates a quite large influence of the numerical methods on site-effect assessment and more generally on seismic hazard. Besides, it was observed that sitespecific measurements are of primary importance for defining the input data in siteresponse analysis. The NL parameters obtained from the laboratory measurements should be compared with curves coming from the literature. Finally, the lessons learned from this exercise are synthesized, resulting also in a few recommendations for future benchmarking studies, and the use of 1D NL, total stress site-response analysis.

Original languageEnglish (US)
JournalBulletin of the Seismological Society of America
Issue number2
StatePublished - Apr 2018

ASJC Scopus subject areas

  • Geophysics
  • Geochemistry and Petrology


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