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