Accuracy evaluation of API P-Y model for Offshore Piles in Clays

Piles are widely used as foundation structures supporting offshore wind turbines, with the p-y curve method commonly recommended for analysis of pile-soil interactions by current mainstream design specifications. Among these methods, the p-y curve model developed by the American Petroleum Institute (API) has gained extensive applications and been the key reference for development of analogous models in numerous countries and regions. Nevertheless, the accuracy of the API-specified p-y curve model remains to be quantitatively evaluated. This study first collected 402 sets of pile p-y curves from multiple offshore wind turbine projects in clays to establish a field-measured p-y curve database. The database was then used to statistically evaluate the prediction accuracy of the p-y curve model for clays recommended by the API specification. The model accuracy is represented by a model factor defined as the ratio of measured to predicted values of soil resistance around the pile. Results showed that the API p-y model underestimates the true soil resistance by about 50 % on average. The dispersions in prediction accuracy are high. Calibration terms considering statistic and physical information are introduced to calibrate the current API p-y model. The calibrated API model exhibits unbiased average prediction accuracy and have a significant reduction in dispersion of prediction accuracy. Finally, Gaussian functions were employed to fit the probability density functions of the API p-y curve model factors before and after calibration, respectively. The research outcomes of this study is of help towards reliability-based design of offshore piles.

Authors

Publication Details

Journal
Results in Engineering
Published
2025-08-18
DOI
https://doi.org/10.1016/j.rineng.2025.106774
Primary Topic
Geotechnical Engineering and Soil Mechanics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accuracy evaluation of API P-Y model for Offshore Piles in Clays

Xun Yuan, Peiyuan Lin, Haoyi Li, Tong Liu et al.
Results in Engineering
Geotechnical Engineering and Soil Mechanics
article

Accuracy evaluation of API P-Y model for Offshore Piles in Clays

Xun Yuan, Peiyuan Lin, Haoyi Li, Tong Liu, Xiangwei Yu
article en

Abstract

Piles are widely used as foundation structures supporting offshore wind turbines, with the p-y curve method commonly recommended for analysis of pile-soil interactions by current mainstream design specifications. Among these methods, the p-y curve model developed by the American Petroleum Institute (API) has gained extensive applications and been the key reference for development of analogous models in numerous countries and regions. Nevertheless, the accuracy of the API-specified p-y curve model remains to be quantitatively evaluated. This study first collected 402 sets of pile p-y curves from multiple offshore wind turbine projects in clays to establish a field-measured p-y curve database. The database was then used to statistically evaluate the prediction accuracy of the p-y curve model for clays recommended by the API specification. The model accuracy is represented by a model factor defined as the ratio of measured to predicted values of soil resistance around the pile. Results showed that the API p-y model underestimates the true soil resistance by about 50 % on average. The dispersions in prediction accuracy are high. Calibration terms considering statistic and physical information are introduced to calibrate the current API p-y model. The calibrated API model exhibits unbiased average prediction accuracy and have a significant reduction in dispersion of prediction accuracy. Finally, Gaussian functions were employed to fit the probability density functions of the API p-y curve model factors before and after calibration, respectively. The research outcomes of this study is of help towards reliability-based design of offshore piles.

Results in EngineeringVol. 27
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 78%
Geotechnical Engineering and Soil Mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Accuracy evaluation of API P-Y model for Offshore Piles in Clays — Xun Yuan, Peiyuan Lin, et al. · Results in Engineering (2025) | TGRS Research Map | TGRS