Automated Crack Detection Tool
05 Jul 2012 | Tools | Contributor(s): Michael Boldischar
Extract crack mappings from high-resolution still images
Automated Experiment Data Centralization System
20 May 2013 | Tools | Contributor(s): Michael Boldischar, Taehun Kim
Automatically gather experiment data from data acquisition systems for upload to NEEShub.
22 Oct 2014 | Tools | Contributor(s): Erich Huebner
An addivtive game, play at your own risk.
The George E. Brown, Jr., Network for Earthquake Engineering Simulation (NEES): Reducing the impact of EQs and Tsunamis
03 Oct 2014 | Publications | Contributor(s): Julio Ramirez
The George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES) is a network of 14 advanced laboratories (https://nees.org/sites-mainpage/laboratories) connected by a...
Prediction of pressure coefficients on roofs of low buildings using artificial neural networks
26 Sep 2014 | Citations | Contributor(s): Y Chen, G.A Kopp, D Surry
This paper describes an artificial neural network (ANN) approach for the prediction of mean and root-mean-square (rms) pressure coefficients on the gable roofs of low buildings. The ANN models,...
Interpolation of pressure coefficients for low-rise buildings of different plan dimensions and roof slopes using artificial neural networks
26 Sep 2014 | Citations | Contributor(s): X. Gavalda, J. Ferrer-Gener, Gregory A. Kopp, Francesc Giralt
Database-assisted design (DAD) is emerging as an important tool to design buildings for wind effects. However, there is a need for robust interpolation methods for pressure coefficients to extend...
A Framework for Measuring the Impact and Effectiveness of the NEES Cyberinfrastructure for Earthquake Engineering
25 Sep 2014 | Active Documents | Contributor(s): Thomas Hacker, Alejandra J Magana
Hacker, T., Magana, M. (accepted). A Framework for Measuring the Impact and Effectiveness of the NEES Cyberinfrastructure for Earthquake...