Optimized selection of axial pile bearing capacity predictive methods based on multi-criteria decision-making (MCDM) models and database approach-Reference-Cited by-同舟云学术

Optimized selection of axial pile bearing capacity predictive methods based on multi-criteria decision-making (MCDM) models and database approach

Published:2022-01-03 Issue:12 Volume:26 Page:5865-5881
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Heidarie Golafzani Sara^ORCID,Eslami Abolfazl^ORCID,Jamshidi Chenari Reza,Hamed Saghaian Mohsen

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-021-06583-7.pdf

Reference34 articles.

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3. API, (2000) Recommended practice for planning, designing and constructing fixed offshore platforms–working stress design–. In Twenty-.

4. Bazaraa AR, Kurkur MM (1986) N-values used to predict settlements of piles in Egypt. In: Use of In Situ tests in geotechnical engineering. ASCE, pp 462–474

5. Briaud JL, Tucker LM (1988) Measured and predicted axial capacity of 98 piles. J Geotech Eng 114(9):984–1001

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