- Tytuł:
- Theoretical investigations for the verification of shear centre and deflection of sigma section by back propagation neural network using Python
- Autorzy:
-
Janani, S.
Thenmozhi, R.
Jayagopal, L. S. - Powiązania:
- https://bibliotekanauki.pl/articles/230800.pdf
- Data publikacji:
- 2019
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
sieć neuronowa sztuczna
propagacja
sekcja sigma
centrum ścinania
ugięcie
konstrukcja dachu
artificial neural network
propagation
sigma section
shear centre
deflection
roof construction - Opis:
- The most important challenges in the construction field is to do the experimentation of the designing at real time. It leads to the wastage of the materials and time consuming process. In this paper, an artificial neural network based model for the verification of sigma section characteristics like shear centre and deflection are designed and verified. The physical properties like weight, depth, flange, lip, outer web, thickness, and area to bring shear centre are used in the model. Similarly, weight, purlin centres with allowable loading of different values used in the model for deflection verification. The overall average error rate as 1.278 percent to the shear centre and 2.967 percent to the deflection are achieved by the model successfully. The proposed model will act as supportive tool to the steel roof constructors, engineers, and designers who are involved in construction as well as in the section fabricators industry.
- Źródło:
-
Archives of Civil Engineering; 2019, 65, 2; 181-192
1230-2945 - Pojawia się w:
- Archives of Civil Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł