An overview of statistical learning theory
IEEE Transactions on Neural Networks
Input space versus feature space in kernel-based methods
IEEE Transactions on Neural Networks
Hybrid model based on SVM with Gaussian loss function and adaptive Gaussian PSO
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
A versatile software tool making best use of sparse data for closed loop process control
Advances in Engineering Software
Force identification by using SVM and CPSO technique
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Two online dam safety monitoring models based on the process of extracting environmental effect
Advances in Engineering Software
Hi-index | 0.00 |
Flutter, a self-excited vibration resulting from the interaction between structural motion and aerodynamic force, is the major aspect in wind resistant design of cable stayed bridges. The critical speed for flutter of a deck section can be evaluated using the flutter derivatives obtained by sectional model testing of the bridge deck in a wind tunnel. Since it is very expensive, time consuming and laborious to conduct wind tunnel tests for all the practical dimensions of deck, the support vector machine (SVM) is applied for predicting the flutter derivatives for any deck size. The wind tunnel experimental data is collected from literature and SVM is trained. Thus predicted flutter derivatives are used for estimation of critical flutter velocity of cable stayed bridges. The effect of each aerodynamic derivative on flutter instability is investigated in this study.