Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Aikaterini P. Kyprioti"'
Autor:
Aikaterini P. Kyprioti, Alexandros A. Taflanidis, Norberto C. Nadal-Caraballo, Madison C. Yawn, Luke A. Aucoin
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 4, p 551 (2022)
Surrogate models, also referenced as metamodels, have emerged as attractive data-driven, predictive models for storm surge estimation. They are calibrated based on an existing database of synthetic storm simulations and can provide fast-to-compute ap
Externí odkaz:
https://doaj.org/article/737c59dda818424f992e07770d47a4c9
Autor:
Aikaterini P. Kyprioti, Ehsan Adeli, Alexandros A. Taflanidis, Joannes J. Westerink, Hendrik L. Tolman
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 12, p 1322 (2021)
During landfalling tropical storms, predictions of the expected storm surge are critical for guiding evacuation and emergency response/preparedness decisions, both at regional and national levels. Forecast errors related to storm track, intensity, an
Externí odkaz:
https://doaj.org/article/d4d98079391240559499577dd32cfbdf
Publikováno v:
Natural Hazards. 115:1371-1409
Autor:
WoongHee Jung, Alexandros A. Taflanidis, Aikaterini P. Kyprioti, Ehsan Adeli, Joannes J. Westerink, Hendrik Tolman
Publikováno v:
Coastal Engineering. 183:104287
Publikováno v:
Earthquake Engineering & Structural Dynamics. 50:3550-3576
Autor:
Matthew Plumlee, Brian Blanton, Tracy Kijewski-Correa, Aikaterini P. Kyprioti, Taylor G. Asher, Richard A. Luettich, Lauren Schmied, Andrew B. Kennedy, Alexandros A. Taflanidis, Elaine Spiller
Publikováno v:
Natural Hazards. 109:1349-1386
Surrogate models are becoming increasingly popular for storm surge predictions. Using existing databases of storm simulations, developed typically during regional flood studies, these models provide fast-to-compute, data-driven approximations quantif
Autor:
Aikaterini P. Kyprioti, Christopher Irwin, Alexandros A. Taflanidis, Norberto C. Nadal-Caraballo, Madison C. Yawn, Luke A. Aucoin
Publikováno v:
Coastal Engineering. 180:104231
Autor:
Madison O. Campbell, Norberto C. Nadal-Caraballo, Aikaterini P. Kyprioti, Alexandros A. Taflanidis
Publikováno v:
Natural Hazards. 105:531-563
In order to accommodate the computational burden of high-fidelity storm surge numerical models, surrogate modeling (metamodeling) techniques have gained significant popularity over the past decade. Utilizing an existing database of synthetic storm si
Publikováno v:
Structural and Multidisciplinary Optimization. 62:1135-1157
This paper discusses a new sequential adaptive design of experiments (DoE) approach for global Kriging metamodeling applications. The sequential implementation is established by using the current metamodel, formulated based on the existing experiment