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Filtering by: Creator Chʻen, Wen-hsiung Creator Kavvadias, Ioannis E. Decade 2020-2029

Structural Damage Prediction of a Reinforced Concrete Frame under Single and Multiple Seismic Events Using Machine Learning Algorithms

Creator:

Lazaridis, Petros C., Kavvadias, Ioannis E., Demertzis, Konstantinos, Iliadis, Lazaros, and Vasiliadis, Lazaros K.

Abstract:

Advanced machine learning algorithms have the potential to be successfully applied to many areas of system modelling. In the present study, the capability of ten machine learning algorithms to predict the structural damage of an 8-storey reinforced concrete frame building subjected to single and successive ground motions is examined. From...

Resource Type:

Article
Structural Damage Prediction Under Seismic Sequence Using Neural Networks

Creator:

Lazaridis, Petros C., Kavvadias, Ioannis E., Demertzis, Konstantinos, Iliadis, Lazaros, Papaleonidas, Antonios, Vasiliadis, Lazaros K., and Elenas, Anaxagoras

Abstract:

Advanced machine learning algorithms, such as neural networks, have the potential to be successfully applied to many areas of system modelling. Several studies have been already conducted on forecasting structural damage due to individual earthquakes, ignoring the influence of seismic sequences, using neural networks. In the present study, an ensemble...

Resource Type:

Conference Proceeding

Full Text:

Reduction, 36, 101111, 2019. [16] R. Zhang, Z. Chen, S. Chen, J. Zheng, O. Büyüköztürk, and H. Sun