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Wielo-skalowe modelowanie muru z cegieł przy użyciu metody homogenizacji i sztucznych sieci neuronowych
DOI:
https://doi.org/10.24425/ace.2022.143033Abstrakt
W pracy przedstawiono sposób tworzenia makro-modelu konstytutywnego muru ceglanego. Przyjmuje się założenia płaskiego stanu naprężenia. Tworzony model nie jest modelem ortotropowym sprężysto-plastycznym, ale jest zbudowany jako sztuczna sieć neuronowa (SSN) dająca niejawną funkcję konstytutywną. Wiąże ona nowy stan naprężeń uogólnionych (sił membranowych) Σn+1 z poprzednim stanem Σn oraz przyrostem odkształceń uogólnionych ΔE. Forma tak utworzonego makro-modelu konstytutywnego jest zgodna z analizą przyrostową problemu statyki w przypadku nieliniowości materiałowych. Składniki muru (cegła i zaprawa) są opisane modelami sprężysto-plastycznymi Druckera-Pragera. Parametry materiałowe składników muru oraz geometria komórki powtarzalnej stanowią dane wejściowe, służące budowie makro-modelu muru.Bibliografia
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