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ECCOMAS 2022
07 June 2022 16:30 - 18:30
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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 Neural 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
Welcome
Organizers
Conference Chairmen
Conference Organizers
Organizing Committees
Scientific Committee
About ECCOMAS
Invited Lecturers
Venue
Registration Fees
Scientific Programme
Programme Overview
Technical Programme
Full Programme in PDF
Programme Search
PL/SPL Sessions
List of Minisymposia
Special Technology Sessions
ECCOMAS Young Investigator Activities
ECCOMAS Olympiad
Practical Information
Presentations
Instructions for Authors
Lunch Options
NFC Tags
About Oslo
COVID-19
Visa Information
Social Programme
Conference Secretariat
Congress Proceedings
NEW!