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What's New: Past Month


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  1. Hybrid Simulation: A Discussion of Current Assessment Measures

    23 Oct 2014 | Active Documents | Contributor(s): Richard Christenson, Shirley Dyke, Jian Zhang, Gilberto Mosqueda, Cheng chen, Naru Nakata, Patrick Laplace, Wei Song, Yunbyeong Chae, Gemez Marshall, Ge(Gaby) Ou, Cheng Song, CARLOS ANDRES RIASCOS

    This report documents the discussions of the Hybrid Simulation Task Force meeting held March 27-28, 2014, in West Lafayette, Indiana. The purpose of this document is to provide a summary of...

  2. Automated Crack Detection Tool

    05 Jul 2012 | Tools | Contributor(s): Michael Boldischar

    Extract crack mappings from high-resolution still images

  3. 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.

  4. Erich's 2048

    22 Oct 2014 | Tools | Contributor(s): Erich Huebner

    An addivtive game, play at your own risk.

  5. Performance-Based Design of Seismically Isolated Bridges

    17 Oct 2014 | Publications | Contributor(s): Eric L. Anderson

    The response of simple isolated bridge overcrossings to a variety of multi-dimensionalearthquake inputs was investigated by analysis and experiment. These studies wereundertaken as part of the...

  6. 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 ( connected by a...

  7. 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,...

  8. 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...