Machine learning applications to load and resistance factors calibration for stability design of caisson breakwater foundations

Author:

Doan Nhu Son,Mac Van Ha,Dinh Huu-Ba

Publisher

Elsevier BV

Reference55 articles.

1. AASHTO, 2017. LRFD Bridge Design Specifications, 8th ed, Washington, DC, USA. AASHTO: Washington, DC, USA.

2. Allen, T.., Nowak, A.., Bathurst, R.J., 2005. Calibration to Determine Load and Resistance Factors for Geotechnical and Structural Design, Transp. Res. Circ. Transportation Research Circular: Washington, DC, USA. 10.17226/21978.

3. Manuals for the design of bridge foundations: Shallow foundations, driven piles, retaining walls and abutments, drilled shafts, estimating tolerable movements, and load factor design specifications and commentary;Barker;Rep.,1991

4. Neural Network Toolbox. User’s Guide;Beale,2012

5. Predicting uniaxial tensile strength of expansive soil with ensemble learning methods;Chen;Comput. Geotech.,2022

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