Landmark data set from the Building Nonstructural Components and Systems (BNCS) project

Elide Pantoli, Michelle C. Chen, Tara C. Hutchinson, Rodrigo Astroza, Joel P. Conte, Hamed Ebrahimian, José I. Restrepo, Xiang Wang

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

A full-scale, five-story reinforced concrete building fully equipped with non-structural components and systems (NCSs) was tested to a near collapse condition on the large outdoor shake table at the University of California, San Diego in 2012. This landmark test program was intended to advance the understanding of the seismic behavior of NCSs installed in buildings, and for this reason it was named the Building Nonstructural Components and Systems (BNCS) project. The BNCS test specimen was monitored with digital still cameras, more than 80 video cameras, 500 analog sensors, and a global positioning system (GPS) and subjected to a suite of earthquake input motions of increasing intensity while in a base-isolated and fixed-base configuration. The resulting high-quality data set is now publicly available within the NEES repository (NEEShub; DOI: 10.4231/D38W38349). The goal of this paper is to outline the types of data available and provide a road map for navigating through it in an effort to support its future use by the community.

Original languageEnglish
Pages (from-to)1239-1259
Number of pages21
JournalEarthquake Spectra
Volume32
Issue number2
DOIs
StatePublished - May 2016

Bibliographical note

Funding Information:
This project is a collaboration between four academic institutions (University of California, San Diego, San Diego State University, Howard University, and Worcester Polytechnic Institute), four government or granting agencies (the National Science Foundation, the Englekirk Advisory Board, the Charles Pankow Foundation, and the California Seismic Safety Commission), over 40 industry partners, and two oversight committees. A listing of industry project sponsors may be found on the project website: http://bncs.ucsd.edu/index.html. Funding is also provided by the NSF-NEESR program, grant number CMMI-0936505. The above support is gratefully acknowledged. This work would not have been possible without the many hours of dedicated student contributions; in addition to those of the authorship, we thank: Consuelo Aranda, AJ Campanella, Elias Espino, Giovanni De Francesco, Jin-Kyung Kim, Diana Lin, Yujia Liu, Ceclia Luu, Steven Mintz (deceased), Yoshua Neuman, Hae-Jun Park, Francesco Selva, Christine Wittich, and Richard Wood. We also express our thanks to Professor Brian Meacham, who was responsible for the fire tests and intimately involved in the planning and execution of the seismic tests. In addition, the technical support of NEES@UCSD and NEES@UCLA staff are greatly appreciated as well as NEEShub technical staff for their assistance with data upload and organization. Opinions and findings of this study are of the authors and do not necessarily reflect those of the sponsors.

Publisher Copyright:
© 2016, Earthquake Engineering Research Institute.

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