Evaluation of FHWA Pile Design Method against the FHWA Deep Foundation Load Test Database Version 2.0

Author:

Machairas Nikolaos1,Highley Gregory A.1,Iskander Magued G.1

Affiliation:

1. NYU Tandon School of Engineering, Brooklyn, NY

Abstract

The efficacy of the FHWA pile design method was explored using data made possible by the 2017 release of FHWA Deep Foundation Load Test Database (DFLTD) v.2. Information contained within DFLTD v.2 was leveraged to evaluate the most common pile design methods against failure loads obtained via in situ static load testing procedures. In the process, the authors developed a custom relational database and software to batch process the available information. The scope was limited to impact-driven, un-tapered, steel and concrete piles, loaded in compression, using a static load test. DFLTD v.2 contains 3,116 unique-combination project/exploration/foundation/test cases of which 213 contained sufficient data to permit batch processing of the results to compute the axial load capacity and interpret the static failure load, according to the study scope. Scatter between measured (interpreted) and predicted capacities is significant; the computed capacity was off by a factor of 2 in many tests. The range in calculated to measured capacities ( Qc/Qm) was from 0.12 to 8.88, and the mean Qc/Qm was 1.48. Preliminary evaluation suggests that the method performs better in clay than in sand, and overpredicts the capacities of long and larger diameter piles. The authors trust that this study will permit engineers and state agencies to better understand the efficacy of the most commonly employed design methods, resulting in a more resilient infrastructure.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference40 articles.

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficacy of Several Design Methods for Predicting the Axial Compressive Capacity of Piles;Transportation Research Record: Journal of the Transportation Research Board;2023-04-04

2. Assessment of Several Interpretation Criteria for Tensile Axial Load Tests on Deep Foundations;Transportation Research Record: Journal of the Transportation Research Board;2023-02-18

3. Forecasting of pile plugging using machine learning;Acta Geotechnica;2023-01-31

4. Forecasting the Capacity of Open-Ended Pipe Piles Using Machine Learning;Infrastructures;2023-01-09

5. Shape effects on penetration of dynamically installed anchors in a transparent marine clay surrogate;Acta Geotechnica;2023-01-06

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