Predicting natural vibration period of concrete frame structures having masonry infill using machine learning techniques

Author:

Inqiad Waleed BinORCID,Javed Muhammad Faisal,Siddique Muhammad ShahidORCID,Alabduljabbar HishamORCID,Ahmed Bilal,Alkhattabi LoaiORCID

Publisher

Elsevier BV

Reference131 articles.

1. Prediction of the fundamental period of infilled rc frame structures using artificial neural networks;Asteris;Comput. Intell. Neurosci.,2016

2. A new approach to predict the fundamental period of vibration for newly-designed reinforced concrete buildings;Ruggieri;J. Earthq. Eng.,2022

3. Inner superhydrophobic materials based on waste fly ash: microstructural morphology of microetching effects;Pang;Compos. B Eng.,2024

4. The influence of pipe-jacking tunneling on deformation of existing tunnels in soft soils and the effectiveness of protection measures;He;Transportation Geotechnics,2023

5. Ternary cementless composite based on red mud, ultra-fine fly ash, and GGBS: synergistic utilization and geopolymerization mechanism;Li;Case Stud. Constr. Mater.,2023

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