A New Data Set for Full-Scale Reinforced Concrete Columns under Collapse-Consistent Loading Protocols

Author:

Nojavan Alireza1,Schultz Arturo E.1,Haselton Curt2,Simathathien Sanput3,Liu Xuejian3,Chao Shih-Ho3

Affiliation:

1. Department of Civil, Environmental and Geo-Engineering, University of Minnesota, Minneapolis, MN

2. Department of Civil Engineering, California State University, Chico, CA

3. Department of Civil Engineering, University of Texas at Arlington, Arlington, TX

Abstract

A series of eight full-scale reinforced concrete column tests was recently carried out at the NEES (Network for Earthquake Engineering Simulation) Multi-Axial Subassemblage Testing (MAST) site at the University of Minnesota as part of a National Science Foundation (NSF) NEES research program. The tests were conducted to address the shortcomings in the available database of reinforced concrete (RC) columns tested with large drift ratios under monotonic and cyclic loading protocols. The specimens were designed based on ACI 318-11 and featured two different cross-sectional dimensions, both larger than nearly all of the columns tested previously. They were subjected to several large displacement loading protocols, including a monotonic and a cyclic biaxial loading protocol. Also, to investigate the effectiveness of novel materials, one specimen was constructed with ultra-high-performance fiber-reinforced concrete (UHP-FRC). This paper presents a description of and potential uses for the data set that is made accessible via a digital object identifier (DOI) (data set DOIs: 10.4231/D33T9D65T, 10.4231/D3028PD2G, 10.4231/D3V97ZR8Z, 10.4231/D3QN5ZB62, 10.4231/D3KW57J3S, 10.4231/D3G44HQ9B, 10.4231/D3BC3SX4Q, and 10.4231/D36M3340C).

Publisher

SAGE Publications

Subject

Geophysics,Geotechnical Engineering and Engineering Geology

Reference19 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3