ECCOMAS 2022

7/6/22    16:30 - 18:30
Computational Intelligence Techniques and Applications in Civil Engineering  
Minisymposium organized by Vagelis Plevris, German Solorzano and Mohamed El Amine Ben Seghier
Room: Buskerud (1F)
MS78A
Chair: German Solorzano
ANN-based surrogate model for predicting the lateral load capacity of RC shear walls
German Solorzano and Vagelis Plevris

A machine learning based approach to predict the stress intensity factors in 2D linear elastic fracture mechanics
Peijun Zhang

Machine-learning driven prediction model for strength reduction of fire-damaged RC column based on numerical analysis
HyunKyoung Kim

Dynamic characterization of offshore wind turbines supported on a jacket using Artificial Neuran Networks
Román Quevedo-Reina, Guillermo M. Álamo, Luis A. Padrón and Juan J. Aznárez

Using artificial intelligence techniques for the accurate estimation of the ultimate pure bending of steel circular tubes
Mohamed El Amine Ben Seghier, Vagelis Plevris and German Solorzano

Investigation of performance metrics in regression analysis and machine learning-based prediction models
Vagelis Plevris, German Solorzano, Nikolaos Bakas and Mohamed El Amine Ben Seghier

Mode shapes-based multicriteria optimization of thin-walled composite cylinders using Deep Learning
Bartosz Miller and Leonard Ziemiański

Topology Optimization Through Machine Learning
MD Imrul Reza Shishir and Alireza Tabarraei