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NEES Data Enables New Horizons in Engineering Research
 

 


Data from NEES research projects are organized, curated and published, making them available for use around the world.

Below are just a few of the researchers that have used data published in the Project Warehouse to trigger new research and develop new knowledge, thus multiplying the value of those data.

Dionisio Bernal, Michael Döhler, Salma Mozaffari Kojidi, Kenny Kwan, and Yang Liu (2015). First Mode Damping Ratios for Buildings. Earthquake Spectra: February 2015, Vol. 31, No. 1, pp. 367-381. [abstract]

Expressions for the expected value of the first mode damping ratio are derived by using 122 seismic responses from concrete buildings and 81 from steel. The results include dissipation at the soil-structure interface and are appropriate for situations in which this source of dissipation is not included in the model. Comparisons between models of different complexity indicate the appropriateness of using a single regressor, for which the building height is used. It is shown that the Fisher information about damping increases with the number of response cycles; this result is used to define weights for the residuals of the regression. The effective damping in steel buildings, with the exception of very tall structures, is found to be larger than the 2% typically used in practice, whereas the 5% assigned to concrete proves to be similar to the mean of the data set.

Tong Guo, Weijie Xu and Cheng Chen(2015). Analysis of decimation techniques to improve computational efficiency of a frequency-domain evaluation approach for real-time hybrid simulation, Smart Structures and Systems, Vol.14, No.6, pp.1197-1220. [abstract]

Accurate actuator tracking is critical to achieve reliable real-time hybrid simulation results for earthquake engineering research. The frequency-domain evaluation approach provides an innovative way for more quantitative post-simulation evaluation of actuator tracking errors compared with existing time domain based techniques. ... The presented study aims to enhance the computational efficiency of the approach in order to utilize it for future on-line actuator tracking evaluation. Both computational simulation and laboratory experimental results are analyzed and recommendations on the two decimation factors are provided based on the findings from this study.

Daniel Gomez, Shirley J. Dyke and Amin Maghareh (2014). Enabling role of hybrid simulation across NEES in advancing earthquake engineering, Smart Structures and Systems, Vol.15, No.3, pp.913-929. [abstract]

Hybrid simulation is increasingly being recognized as a powerful technique for laboratory testing. It offers the opportunity for global system evaluation of civil infrastructure systems subject to extreme dynamic loading, often with a significant reduction in time and cost. ... Many researchers have quite effectively used hybrid simulation (HS) and real-time hybrid simulation (RTHS) methods for examination and verification of existing and new design concepts and proposed structural systems or devices. This paper provides a detailed perspective of the enabling role that HS and RTHS methods have played in advancing the practice of earthquake engineering.


And additional data papers in EERI’s Spectra published recently include:

Clinton M. Wood and Brady R. Cox (2015) Experimental Data Set of Mining-Induced Seismicity for Studies of Full-Scale Topographic Effects. Earthquake Spectra: February 2015, Vol. 31, No. 1, pp. 541-564. [abstract]

This paper describes two large, high-quality experimental data sets of ground motions collected with locally dense arrays of seismometers deployed on steep mountainous terrain with varying slope angles and topographic features. These data sets were collected in an area of central-eastern Utah that experiences frequent and predictable mining-induced seismicity as a means to study the effects of topography on small-strain seismic ground motions. The data sets are freely available through the George E. Brown, Jr. Network for Earthquake Engineering Simulation data repository (NEEShub.org) under the DOI numbers 10.4231/D34M9199S and 10.4231/D3Z31NN4J. This paper documents the data collection efforts and metadata necessary for utilizing the data sets, as well as the availability of supporting data (e.g., high-resolution digital elevation models). The paper offers a brief summary of analyses conducted on the data sets thus far, in addition to ideas about how these data sets may be used in future studies related to topographic effects and mining seismicity.

Alireza Nojavan, Arturo E. Schultz, Curt Haselton, Sanput Simathathien, Xuejian Liu, and Shih-Ho Chao (2015) A New Dataset for Full-Scale RC Columns under Collapse-Consistent Loading Protocols. Earthquake Spectra In-Press. [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 U.S. National Science Foundation (NSF) NEES research program. The tests were conducted to address the shortcomings in the available database of RC columns tested to large drift ratios under monotonic and cyclic loading protocols. The specimens were designed based on ACI 318-11 and featured two different cross-section dimensions, larger than nearly all of the columns tested previously, and 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 and potential uses of the dataset that is made accessible via a Digital Object Identifier (DOI). [Dataset DOIs: 10.4231/D33T9D65T, 10.4231/D3028PD2G, 10.4231/D3V97ZR8Z, 10.4231/D3QN5ZB62, 10.4231/D3KW57J3S, 10.4231/D3G44HQ9B, 10.4231/D3BC3SX4Q, 10.4231/D36M3340C]

 

Look for published data to reuse now in the Project Warehouse list of publicly available projects.