RT - Journal Article
T1 - PREDICTION OF NATURAL FREQUENCIES FOR TRUSS STRUCTURES WITH UNCERTAINTY USING THE SUPPORT VECTOR MACHINE AND MONTE CARLO SIMULATION
JF - IUST
YR - 2024
JO - IUST
VO - 14
IS - 2
UR - http://ijoce.iust.ac.ir/article-1-583-en.html
SP - 211
EP - 228
K1 - Machine learning
K1 - support vector machine
K1 - truss
K1 - random eigenvalue problem
K1 - uncertainty quantification
K1 - monte carlo simulation.
AB - In this study, the support vector machine and Monte Carlo simulation are applied to predict natural frequencies of truss structures with uncertainties. Material and geometrical properties (e.g., elasticity modulus and cross-section area) of the structure are assumed to be random variables. Thus, the effects of multiple random variables on natural frequencies are investigated. Monte Carlo simulation is used for probabilistic eigenvalue analysis of the structure. In order to reduce the computational cost of Monte Carlo simulation, a support vector machine model is trained to predict the required natural frequencies of the structure computed in the simulations. The provided examples demonstrate the computational efficiency and accuracy of the proposed method compared to the direct Monte Carlo simulation in the computation of the natural frequencies for trusses with random parameters.
LA eng
UL http://ijoce.iust.ac.ir/article-1-583-en.html
M3 10.22068/ijoce.2024.14.2.583
ER -