NEES: Projects Suitable for SHM and Model Updating Research

By Wei Song, Luis Hernández and Ann Christine Catlin

Category

Databases

Published on

Abstract

Authors

The authors of this database are Wei Song, Luis Hernández and Ann Christine Catlin ( Purdue University). The database was published at NEEShub on June 25 2014 and has been reproduced here to preserve the data and ensure continued access.

Database

image

A large number of datasets have been accumulated from NSF-funded research projects. In an effort to fully utilize these available datasets to advance the research studies of structural health monitoring (SHM) and model updating, we have identified several projects which offer the greatest relevance to SHM and model updating research, and created this database.

This database provides a quick reference to essential information about each experimental dataset within these projects, listing the sensors and actuators used, material, type of test, etc., so that researchers can more quickly identify projects that may be useful for advancing SHM and Model Updating Research.

All the included datasets come from projects curated in NEEShub project warehouse (links and references are provided in the database), and are publicly accessible.

The authors of this database would like to extend their acknowledgement and appreciation to the NEES project Award Number CMMI-0927178.

Cite this work

Researchers should cite this work as follows:

  • Wei Song, Luis Hernández and Ann Christine Catlin (2015), "NEES: Projects Suitable for SHM and Model Updating Research," https://datacenterhub.org/resources/264.

    BibTex | EndNote

Tags