Masonry compressive strength prediction using artificial neural networks

The masonry is not only included among the oldest building materials, but it is also the most widely used material due to its simple construction and low cost compared to the other modern building materials. Nevertheless, there is not yet a robust quantitative method, available in the literature, wh...

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Detalhes bibliográficos
Autor principal: Asteris, Panagiotis G. (author)
Outros Autores: Argyropoulos, Ioannis (author), Cavaleri, Liborio (author), Rodrigues, Hugo (author), Varum, Humberto (author), Thomas, Job (author), Lourenço, Paulo B. (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2019
Assuntos:
Artificial Neural Networks (ANNs)
Back-Propagation Neural Networks (BPNNs)
Building materials
Compressive strength
Masonry
Masonry unit
Mortar
Soft-computing techniques
Engenharia e Tecnologia::Engenharia Civil
Texto completo:http://hdl.handle.net/1822/67726
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/67726

Texto Completo

http://hdl.handle.net/1822/67726

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