A new approach for Modelling pile settlement of concrete piles under uplift loading using an evolutionary LM training algorithm
This study was performed to examine pile uplift bearing capacity and to develop a novel approach to simulate pile load-settlement response using a new supervised computational intelligence (CI) approach. To reach the planned aim, a series of experimental studies were conducted on concrete piles subjected to uplift loading. . According to the statistical analysis, pile effective length (lc), applied load (P), pile flexural rigidity (EA), sand-pile friction angle (δ), and pile aspect ratio (lc/d) were pronounced to play a key role, at different contribution levels, on model output. To evaluate and verify the efficiency of the proposed approach, comparison have been made between the employed training algorithm with experimental pile load-test, and with those specified by a number of design procedures. The results revealed an outstanding agreement between the target and predicted pile-load settlement, thus yielding a coefficient of correlation (R), and a minimum root mean square error (RMSE) of 0.985 and 0.059 respectively, thus, in parallel with a relatively insignificant mean square error level (MSE) of 0.0039.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/17445302
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Supplemental Notes:
- © 2021 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Jebur, Ameer A
- Atherton, William
- Alattar, Zeinab I
- Al Khaddar, Rafid M
- Publication Date: 2022-6
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1413-1425
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Serial:
- Ships and Offshore Structures
- Volume: 17
- Issue Number: 6
- Publisher: Taylor & Francis
- ISSN: 1744-5302
- Serial URL: http://www.tandfonline.com/tsos20
Subject/Index Terms
- TRT Terms: Loads; Neural networks; Offshore structures; Pile foundations; Sandy soils; Settlement (Structures); Uplift pressure
- Subject Areas: Data and Information Technology; Marine Transportation; Terminals and Facilities;
Filing Info
- Accession Number: 01855790
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 24 2022 3:02PM