An artificial neural network approach for under-reamed piles subjected to uplift forces in dry sand

State-of-the-art review of some artificial intelligence applications in pile foundations

(2016) Mohamed A. Shahin   Geoscience Frontiers

Discussion of “Field investigation of the axial resistance of helical piles in dense sand”

(2015) Zorany S.Z. Mosquera et al.   CANADIAN GEOTECHNICAL JOURNAL

Application of Artificial Neural Network for Predicting Shaft and Tip Resistances of Concrete Piles

(2015) Ehsan Momeni et al.   Earth Sciences Research Journal

Relationship between Installation Torque and Axial Capacities of Helical Piles in Cohesionless Soils

(2015) Mohammed Sakr   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Uplift capacity of an under-reamed pile foundation

(2015) Daniel Edward Harris et al.   PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-GEOTECHNICAL ENGINEERING

Appraisal of reliable skin friction variation in a bored pile

(2015) Ramli Nazir et al.   PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-GEOTECHNICAL ENGINEERING

The uplift load capacity of an enlarged base pier embedded in dry sand

(2014) Ramli Nazir et al.   Arabian Journal of Geosciences

A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons

(2014) Min-Yuan Cheng et al.   AUTOMATION IN CONSTRUCTION

Regression versus artificial neural networks: Predicting pile setup from empirical data

(2014) Bashar Tarawneh et al.   KSCE Journal of Civil Engineering

New method for predicting the ultimate bearing capacity of driven piles by using Flap number

(2014) Fatehnia Milad et al.   KSCE Journal of Civil Engineering

Predicting pile dynamic capacity via application of an evolutionary algorithm

(2014) I. Alkroosh et al.   SOILS AND FOUNDATIONS

Influence of geocell reinforcement on uplift response of belled piles

(2014) S. N. Moghaddas Tafreshi et al.   Acta Geotechnica

Prediction of ultimate axial load-carrying capacity of piles using a support vector machine based on CPT data

(2013) A. Kordjazi et al.   COMPUTERS AND GEOTECHNICS

Performance of single vertical helical anchor embedded in dry sand

(2013) Ramli Nazir et al.   MEASUREMENT

Prediction of pile shaft resistance using cone penetration tests (CPTs)

(2012) Mohammad Hassan Baziar et al.   COMPUTERS AND GEOTECHNICS

Experimental and analytical investigations on bearing capacity of strip footing in reinforced sand backfills and flexible retaining wall

(2012) H. Ahmadi et al.   Acta Geotechnica

Genetic-based modeling of uplift capacity of suction caissons

(2011) Amir Hossein Alavi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Performance of Pile-Supported Embankment over Soft Soil: Full-Scale Experiment

(2011) L. Briançon et al.   JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING

UPLIFT CAPACITY OF BELLED AND MULTI-BELLED PILES IN DENSE SAND

(2011) TSUYOSHI HONDA et al.   SOILS AND FOUNDATIONS

Relationship between installation torque and uplift capacity of deep helical piles in sand

(2010) Cristina de Hollanda Cavalcanti Tsuha et al.   CANADIAN GEOTECHNICAL JOURNAL

PULLOUT RESISTANCE OF BEARING REINFORCEMENT EMBEDDED IN SAND

(2010) SUKSUN HORPIBULSUK et al.   SOILS AND FOUNDATIONS

Prediction of pile settlement using artificial neural networks based on standard penetration test data

(2009) F. Pooya Nejad et al.   COMPUTERS AND GEOTECHNICS

Piles shaft capacity from CPT and CPTu data by polynomial neural networks and genetic algorithms

(2008) H. Ardalan et al.   COMPUTERS AND GEOTECHNICS