Abstract

A genetic algorithm (GA) was developed to improve predictions for the ultimate axial capacity of driven piles in Ontario soils. Challenges arise to accurately predict the ultimate capacity due to many influential factors, such as the ground conditions, installation method, and pile geometry. A total of 43 piles (H or pipe piles) were collected from the Ministry of Transportation of Ontario. Side and tip resistances were extracted from piles subjected to extension and compression load tests. The soil measurements and pile resistances were regressed with a statistical analysis and GA, and the developed relationships were compared to existing design methods. On average, existing design methods overestimated the capacity by a factor of 1.16 to 3.00. The proposed correlations were slightly conservative with the capacity but provided errors within ± 30 % of the measured side resistance. The new design methods from the GA offer substantial improvements for pile design

Highlights

  • 1.1 INTRODUCTIONThe province of Ontario plans to invest $ 190 billion in public infrastructure by 2030 (Ontario, 2018)

  • Ncorr is the corrected standard penetration test (SPT) N-value; L is the embedment length of a pile; D is the diameter or width of a pile; z is the depth to the centre of a pile segment or soil layer; ST is the soil type that is equal to 1 for noncohesive soils and 2 for cohesive soils; and σ′ is the effective stress

  • Functions for Cohesive Soils (%) 65.9 55.3 24.5 12.5 99.1 where L is the embedment length of a pile; D is the diameter or width of a pile; z is the depth to the centre of a pile segment or soil layer; and Cu is the undrained shear strength from unconsolidated undrained (UU) triaxial tests

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Summary

Introduction

1.1 INTRODUCTIONThe province of Ontario plans to invest $ 190 billion in public infrastructure by 2030 (Ontario, 2018). The standard penetration test (SPT) is commonly used in site investigations because it is a cheap, quick, and versatile measurement technique for gravel and cobble rich soils. This simple test is unreliable for several reasons: the test does not provide continuous data; the sampler can erroneously give high N-values with obstructions, such as gravels and boulders; and the accuracy of the results depend on the operator. For this investigation, the goal was to improve the predictability of the ultimate axial capacity of driven piles in Ontario.

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