Events International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering

Conference title
International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering
Description
The increasing necessity to solve complex problems in Structural Dynamics and Earthquake Engineering requires the development of new ideas and innovative methods for providing accurate numerical solutions in affordable computing times. The purpose of this Conference series is to bring together the scientific communities of Computational Mechanics, Structural Dynamics and Earthquake Engineering in an effort to facilitate the exchange of ideas in topics of mutual interest and to serve as a platform for establishing links between research groups with complementary activities. The communities of Structural Dynamics and Earthquake Engineering will benefit from this interaction, acquainting them with advanced computational methods and software tools which can highly assist in tackling complex problems in dynamic/seismic analysis and design, while also giving the Computational Mechanics community the opportunity to become more familiar with very important application areas of great social impact. Sessions related to specific topics of the Conference will be introduced by Keynote Lectures which will be complemented by invited Minisymposia, organized by recognized experts in research areas of current interest, as well as by contributed papers.

Events Publications
(All)



Results 1-12 of 12 (Search time: 0.003 seconds).

Issue DateTitleAuthor(s)
1Jun-2023Artificial Intelligence & Machine Learning in Design and Assessment of StructuresMarkou, George ; Bakas, Nikolaos P. 
21-Jan-2023INVESTIGATING THE SOIL STRESS LEVELS FOR DIFFERENT PILE GEOMETRIES UNDER DIFFERENT LOADING CONFIGURATIONSRademan, Daniel ; Markou, George 
31-Jan-2023DEVELOPING AN ARTIFICIAL NEURAL NETWORK MODEL THAT PREDICTS THE FUNDAMENTAL PERIOD OF STEEL STRUCTURES USING A LARGE DATASETvan der Westhuizen, Ashley Megan ; Bakas, Nikolaos P. ; Markou, George 
4Jun-2021Artificial Intelligence & Machine Learning in Design and Assessment of StructuresMarkou, George ; Bakas, Nikolaos P. 
51-Jan-2021Predicting the shear capacity of reinforced concrete slender beams without stirrups by applying artificial intelligence algorithmsSpijkerman, Zelda ; Bakas, Nikolaos P. ; Markou, George ; Papadrakakis, Manolis 
61-Jan-2021Links of aesthetic value of multi-curvature artifacts, with their structural behavior, utilizing machine learning algorithmsBakas, Nikolaos P. ; Christofi, Neofytos ; Bellos, John ; Antoniou, Dimitris ; Markou, George 
71-Jan-2021Development of a new fundamental period formula by considering soil-structure interaction with the use of machine learning algoritmsTaljaard, Vicky Lee ; Gravett, Dewald Z. ; Mourlas, Christos ; Markou, George ; Bakas, Nikolaos P. ; Papadrakakis, Manolis 
8Jun-2019Numerical modeling of masonry-infilled RC frame strengthened with TRMFilippou, Christiana ; Chrysostomou, Christis ; Kyriakides, Christopher 
9Jun-2019Nonlinear numerical parametric study of dowels for the seismic strengthening of RC frames with RC infill wallsGeorgiou, Elpida ; Chrysostomou, Christis ; Kyriakides, Nicholas 
102017Nonlinear FEA of soil-structure-interaction effects on RC shear wall structuresAlHamaydeh, Mohammad ; Markou, George ; Saadi, Dina 
112017Computationally efficient and accurate modeling of the cyclic behavior of reinforced concrete structural members under ultimate limit state conditionsMarkou, George ; Mourlas, Christos ; Papadrakakis, Manolis 
122017Nonlinear FEA of Soil-Structure-Interaction Effects on RC Shear Wall StructuresMarkou, George ; Saadi, Dina ; AlHamaydeh, Mohammad