Mathematical micromodeling of infilled frames: State of the art
Panagiotis G. Asteris(School of Pedagogical and Technological Education), Ghassan Al‐Chaar(Construction Engineering Research Laboratory), Amin Mohebkhah(Malayer University), Demetrios M. Cotsovos(Heriot-Watt University), Christis Ζ. Chrysostomou(University of Thessaly)
Cited by 237
Related Papers
Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models
|Cement and Concrete Research|2021|668
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength
|Neural Computing and Applications|2020|456
Concrete compressive strength using artificial neural networks
|Neural Computing and Applications|2019|432
A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model
|Engineering With Computers|2020|349
Mathematical Macromodeling of Infilled Frames: State of the Art
|Journal of Structural Engineering|2011|329