Icing Validation Database

DOI

This database contains an overview of experimental datasets that can be used for the validation of ice prediction simulation methods. This database was generated for the 1st AIAA Ice Prediction Workshop, scheduled for 2021. The database contains entries on 71 experimental datasets in the literature. For each entry, a series of parameters have been identified, including the investigated geometries, Reynolds numbers, Mach numbers, icing envelopes.

Identifier
DOI https://doi.org/10.18710/5XYALW
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/5XYALW
Provenance
Creator Hann, Richard ORCID logo; Müller, Nicolas
Publisher DataverseNO
Contributor Hann, Richard; NTNU – Norwegian University of Science and Technology; 1st AIAA Ice Prediction Workshop
Publication Year 2020
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Hann, Richard (NTNU – Norwegian University of Science and Technology)
Representation
Resource Type Dataset
Format text/plain; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; text/tab-separated-values
Size 2378; 35849; 35777
Version 1.1
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences