Calibration and assessment of reliability-based serviceability limit state procedures for foundation engineering

Huffman, Jonathan C.; Martin, John P.; Stuedlein, Armin W.

doi:10.1080/17499518.2016.1183797

Cited by 10 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although many methods have been proposed to estimate the deformation, the accuracy of their predictions is generally low due to the inaccuracy of the soil parameters and nonlinear stress-strain behaviour of the soils. Recently, factored resistance approaches have been growing in popularity to characterize the aleatory uncertainties and to assess the SLS of foundations (Misra & Roberts, 2009;Uzielli & Mayne, 2011;Huffman et al, 2015Huffman et al, , 2016Reddy & Stuedlein, 2017;Tang & Phoon, 2018a, b, c;Tang et al, 2019;Wu & Xin, 2019). These approaches express the allowable load to its allowable settlement by adopting a model for the load-displacement response of a pile (Reddy & Stuedlein, 2017).…”

Section: Current Approaches To Pile Designmentioning

confidence: 99%

“…To determine 𝑄 𝑎 * , a reliability analysis was conducted to calibrate 𝜓 𝑆𝐿𝑆 for 𝑝 𝑓𝑇 , and the methodology in this study was similar to those applied by others (Misra & Roberts, 2009;Uzielli & Mayne, 2011;Huffman et al, 2015Huffman et al, , 2016Reddy & Stuedlein, 2017;Tang & Phoon, 2018a, b, c;Tang et al, 2019).…”

Section: Calibration Of the Serviceability Limit State (Sls)mentioning

confidence: 99%

“…In this formula, 𝑄 is normalized by 𝑄 𝑢 𝑚 . Equation 2-22 has provided a good representation of the loaddisplacement response for many foundation elements, such as driven piles (Dithinde et al, 2011;Tang & Phoon, 2018a, b), bored piles (Dithinde et al, 2011;Tang et al, 2019), helical piles (Tang & Phoon, 2018c), augered cast-in-place piles (Reddy & Stuedlein, 2017), cement-fly ash-gravel piles (Wu & Xin, 2019), and shallow footings (Uzielli & Mayne, 2011;Huffman et al, 2015Huffman et al, , 2016. This relationship is preferred due to its simplicity.…”

Section: Calibration Of the Serviceability Limit State (Sls)mentioning

confidence: 99%

See 2 more Smart Citations

Reliability-based Design for Axially Loaded Driven Piles in Glacial Deposits

Jesswein

2024

Preprint

View full text Add to dashboard Cite

Many factors and uncertainties, especially from the soil conditions, challenge the accuracy of a pile design for the geotechnical ultimate limit state (ULS) and serviceability limit state (SLS). The uncertainties can be contributed by the inconsistent material properties of glacial deposits or a lack of provisions by many design methods for the pile set-up, which is an increase in the pile capacity with time. Thus, for driven steel piles subjected to static and maintained axial loads, the goal of this research was to improve the predictability of these limit states by modifying reliability-based design (RBD) methods. A database was collected first in this thesis with a total of 120 piles subjected to static and/or Pile Driving Analyzer (PDA) tests. These tests were used to evaluate the accuracy of several existing design methods that predict the pile capacity with in-situ measurements, particularly by the standard penetration test (SPT) or piezocone penetration test (CPTu). Since existing methods commonly overestimated the capacity or exhibited significant variations in their predictions, correlations were conducted between results from the in-situ and pile tests to develop new design methods to better consider the soil content and set-up time. Many existing set-up prediction methods rely on time-consuming laboratory tests, but this study offers a practical CPTu-based approach. Afterwards, reliability analyses were performed to help designers account for the uncertainties in designs and estimate the factored resistance for the ULS and SLS. Although a few studies have previously incorporated set-up into RBDs for the ULS, very few, if any, have incorporated set-up for the SLS; thus, this thesis presents a series of resistance factors that were calibrated by Monte Carlos simulation for a range of set-up to end-of-driving resistance ratios and allowable settlements. The findings demonstrate the benefits of versatile methods that consider a range of conditions, such as set-up time, soil classification, and pile geometry. In addition, economic benefits may be received for designs by using a greater factored resistance at a set-up time compared to the end-of-pile-driving condition. Overall, the findings can assist practitioners to mitigate geotechnical risks and deliver more economic and reliable pile designs.

show abstract

Section: Current Approaches To Pile Designmentioning

confidence: 99%

Section: Calibration Of the Serviceability Limit State (Sls)mentioning

confidence: 99%

Section: Calibration Of the Serviceability Limit State (Sls)mentioning

confidence: 99%

See 1 more Smart Citation

Reliability-based Design for Axially Loaded Driven Piles in Glacial Deposits

Jesswein

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Applications of the load-settlement model factors for RBD of foundations at the SLS were presented in Wang and Kulhawy (2008), Uzielli and Mayne (2011), Stuedlein and Reddy (2013), Huffman and Stuedlein (2014), Huffman et al (2015Huffman et al ( , 2016, and Reddy and Stuedlein (2017b processes of a DCIS pile is described as follows (Flynn and McCabe 2016): (1) place a hollow steel tube with a sacrificial circular steel plate at the base of the tube preventing soil and/or water from entering it; (2) place the reinforcement and pour concrete into the tube, when the tube reaches the required depth; and (3) extract the tube from the soil with the steel plate remaining at the base when concreting is complete.…”

Section: Bivariate Load-settlement Modelmentioning

confidence: 99%

Statistics of model factors in reliability-based design of axially loaded driven piles in sand

Tang

Phoon

2018

Can. Geotech. J.

View full text Add to dashboard Cite

This paper compiles 162 reliable field load tests for axially loaded driven piles in sand from previous studies. The L 1 -L 2 method is adopted to interpret the measured resistance from the load-settlement data. The accuracy of resistance calculations with the ICP-05 and UWA-05 methods based on cone penetration test profile is evaluated by the ratio (bias or model factor) of the measured resistance to the calculated resistance. A hyperbolic model with two parameters, where the load component is normalized by the measured resistance, is utilized to fit the measured load-settlement curves. The means, coefficients of variation, and probability distributions for the resistance model factor and the hyperbolic parameters are established from the database.Copula theory is employed to characterize the correlation structure within the hyperbolic parameters. The statistical properties of the model factors are applied to calibrate the resistance factors in simplified reliabilitybased designs of closed-end piles driven into sand at the ultimate and serviceability limit state by Monte Carlo simulations. A simple example is provided to illustrate the application of the proposed resistance factors to estimate the allowable load for an allowable settlement at the desired serviceability limit probability.

show abstract

Reliability-Based Serviceability Limit State Design of Driven Piles in Glacial Deposits

Jesswein

Liu

2022

Geotech Geol Eng

View full text Add to dashboard Cite

Calibration and assessment of reliability-based serviceability limit state procedures for foundation engineering

Cited by 10 publications

References 16 publications

Reliability-based Design for Axially Loaded Driven Piles in Glacial Deposits

Reliability-based Design for Axially Loaded Driven Piles in Glacial Deposits

Statistics of model factors in reliability-based design of axially loaded driven piles in sand

Reliability-Based Serviceability Limit State Design of Driven Piles in Glacial Deposits

Contact Info

Product

Resources

About