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Wyświetlanie 1-2 z 2
Tytuł:
Concrete Foundation Systems and Footings
Autorzy:
Nangan II, Allen P.
Ganiron Jr, Tomas U.
Martinez, Doyce T.
Powiązania:
https://bibliotekanauki.pl/articles/1179221.pdf
Data publikacji:
2017
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Building
footings
foundation
geotechnical engineering
structural systems
Opis:
This paper discusses a list of information and issues that causes of structural failure in the foundations and footings of a building. When a load is gradually applied on a foundation, settlement occurs which is almost elastic to begin with. At the ultimate load, general shear failure occurs when a plastic yield surface develops under the footing, extending outward and upward to the ground surface, and catastrophic settlement or rotation of the foundation occurs. Foundation failure is caused by multiple reasons such as poor soil preparation, water problems, dry heat, large trees and plumbing issues Foundation failure is where the foundation settles below level of original construction to a point where damages has occurred such as veneer cracking, interior sheetrock cracking, separations in the veneer and misaligning doors to name a few common symptoms
Źródło:
World Scientific News; 2017, 80; 1-17
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of bearing capacity of H shaped skirted footings on sand using soft computing techniques
Autorzy:
Gnananandarao, -
Khatri, V. N.
Dutta, R. K.
Powiązania:
https://bibliotekanauki.pl/articles/1818514.pdf
Data publikacji:
2020
Wydawca:
Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
Tematy:
bearing capacity ratio
sand
artificial neural networks
M5P model tree
regular plan shaped skirted footings
H plan shaped skirted footings
współczynnik nośności
piasek
sztuczne sieci neuronowe
drzewo modelu M5P
Opis:
Purpose: The present study aims to apply soft computing techniques, Artificial Neural Network (ANN) and M5P model tree, to predict the ultimate bearing capacity of the H plan shaped skirted footing on the sand Design/methodology/approach: A total of 162 laboratory test data for the regular plan shaped (square, circular, rectangular, and strip (up to L/B = 2.5) skirted footing were collected from the literature to develop the soft computing-based models. These models were later modified for the H Plan shaped skirted footing with the introduction of the multiplication factor. The input variables chosen for the regular plan shaped footings were skirt depth to width of the footing ratio (Ds/B), friction angle of the sand (o), the ratio of the interface friction angle-to-friction angle of sand (5/o), and length-to-width (L/B) ratio of the footing. The output is the bearing capacity ratio (BCR, a ratio of the bearing capacity of the skirted footing to the bearing capacity of un-skirted footing). Findings: Sensitivity analysis was carried out to see the impact of the individual variable on the BCR). The sensitivity results reveal that the skirt depth to width of the footing ratio is the primary variable affecting the BCR. Finally, the performance of the developed soft computing models was assessed using six statistical parameters. The results from the statistical parameters reveal that model developed using ANN was performing superior to the one prepared using M5P model tree technique for the prediction of the ultimate bearing capacity of H plan shaped skirted footing on sand. Research limitations/implications: The model equations are developed with experimental laboratory data. Hence, these equations need further improvement by using field data. However, until now there no field data have been available to include in the present data set. Practical implications: These proposed model equations can be used to predict the bearing capacity of the H-shaped footing with the help of Ds/B, o, S/o and L/B without performing the laboratory experiments. Originality/value: There is no such model equation that was developed so far for the H-shaped skirted footings. Hence, an attempt was made in this article to predict the bearing capacity of the H-shaped footing by using available experimental data with the help of soft computing techniques.
Źródło:
Archives of Materials Science and Engineering; 2020, 103, 2; 62--74
1897-2764
Pojawia się w:
Archives of Materials Science and Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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