Reliability based design of driven pile groups using combination of pile driving equations and high strain dynamic pile monitoring

Klammler, Harald; McVay, Michael; Herrera, Rodrigo; Lai, Peter

doi:10.1016/j.strusafe.2013.07.009

Cited by 11 publications

(4 citation statements)

References 18 publications

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“…Denoting by p 2 and 2 p2 the off-site prediction and respective variance after log-transformation (e.g., Eqs. 10 and 11) and following a Bayesian approach of Zhang et al (2004) or, equivalently, a Best Linear Unbiased Estimation (BLUE) approach of Klammler et al (2012c), a combined predictor p may be constructed as …”

Section: Combination With Off-site Data and Back Transformationmentioning

confidence: 99%

“…2 and a trial and error procedure may become tedious. As an alternative, a quickly converging iterative method may be adopted analogous to the "quadrant chart" of Klammler et al (2010b) or as further applied in Klammler et al (2012c). It simply consists in choosing an initial value for L s , computing f des from Eq.…”

Section: Combination With Off-site Data and Back Transformationmentioning

confidence: 99%

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An Approach to Assess LRFD-Φ from Load Test and Borehole Data In and Outside the Footprint of a Drilled Shaft

Klammler¹,

McVay

Faraone

et al. 2013

Foundation Engineering in the Face of Uncertainty

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Currently (2007Currently ( -2010, AASHTO's LRFD design of deep foundations recommends resistance factors for a variety of scenarios (e.g., method of analysis, number of load tests, etc.). Generally, values account for a desired level of reliability and are based on comprehensive databases (not site specific) of predicted versus measured resistances. Unfortunately, no consideration is given to locations of boreholes with respect to foundation elements, to spatial variability of design properties over the site or the use of load testing on LRFD assessment. The present work considers the case of side friction on axially loaded drilled shafts as assessed from laboratory analysis of rock core samples. Geo-statistical principles are used to rationally account for (1) the presence and amount of site specific load testing with borehole data in the footprint, (2) the availability of off-site load test data, (3) the amount of site specific borehole sampling, and (4) the presence or not of borehole data at production shaft locations. In agreement with previous studies, spatial variability within a site is identified as a dominating contributor to overall prediction uncertainty. Additionally, it is shown that spatial variability may only be eliminated by using borings inside shaft footprints and not through additional load testing or collection of borehole data at other locations on a site. A case study with field data is used to illustrate the approach for practice in Florida limestone.

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Section: Combination With Off-site Data and Back Transformationmentioning

confidence: 99%

Section: Combination With Off-site Data and Back Transformationmentioning

confidence: 99%

An Approach to Assess LRFD-Φ from Load Test and Borehole Data In and Outside the Footprint of a Drilled Shaft

Klammler¹,

McVay

Faraone

et al. 2013

Foundation Engineering in the Face of Uncertainty

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“…Frequent pile foundation engineering accidents have resulted in significant damage to lives and property. Consequently, an increasing number of pile foundation monitoring methods have been developed and applied [8,9] to provide early warning.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on axial compression monitoring of pile foundation based on sensor-enabled piezoelectric geocable

Ying,

Liu,

Wang

et al. 2023

Smart Mater. Struct.

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In concealed underground projects, pile foundations may cause severe engineering accidents owing to factors such as construction technology, geological conditions, and material properties. Accordingly, the construction industry has invariably focused on developing high-precision, distributed, and low-cost monitoring and disaster warning methods. Therefore, a new sensing material, sensor-enabled piezoelectric geocable (SPGC), was developed to monitor the deformation and failure of a pile foundation. Three model piles were constructed, and packaging and layout processes for the SPGC sensing material were proposed. Moreover, a fiber Bragg grating (FBG) sensor and resistance strain gauge were installed for comparison. Pile foundation failure and static load tests were performed using a large servo hydraulic press. The monitored effect was evaluated by obtaining the impedance and voltage signals of the SPGC. Pile foundation failure test results show that the mutation of impedance and voltage signals can be used as combined monitoring data, and the electrical signal of the SPGC can be used in three stages of early warning response. These findings ensure that pile foundation damage can be located, damage precursors can be identified, and timely warning can be provided. The static load test results indicate that the SPGC data are in good agreement with the FBG sensor and strain gauge data. The impedance of the SPGC increases linearly with the load. Accordingly, a linear calculation formula relating impedance and strain is derived. The research results are expected to provide a new technical method for pile foundation construction and long-term operation and maintenance monitoring.

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“…Wang and Cao [6] evolved a reliability based design method for drilled shafts that integrates a Monte Carlo Simulation. Klammler et al [7] investigated an approach for introducing a criteria of pile driving regarding individual pile foundations under axial loading. Li et al [8] used the reliability based design method to calibrate the parameters of resistance considered in piles foundations design.…”

Section: Introductionmentioning

confidence: 99%

Optimal Plastic Analysis and Design of Pile Foundations Under Reliable Conditions

Rad¹,

Ibrahim²

2021

Period. Polytech. Civil Eng.

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In this research, in order to evaluate the plastic limit load and also plastic design parameters of the long pile foundations subjected to horizontal loads, shakedown method is applied. In carrying out shakedown analysis and design methods, large plastic deformations and residual displacements could develop in the pile foundation which might lead to the failure of the structure. For this reason, complementary strain energy of residual forces proposed as a limit condition to control the plastic deformation of the pile structure. Furthermore, considering the uncertainties (strength, manufacturing, geometry) the limit conditions on the complementary strain energy of residual forces are assumed randomly and the reliability condition was formed by the use of the strict reliability index. The influence of the limit conditions on the plastic limit load and design parameters of the long pile in cohesionless soil subjected to lateral load were investigated and limit curves for shakedown load factors are presented. The numerical results show that the probabilistic given limit conditions on the complementary strain energy of residual forces have significant influence on the load bearing limit and the design parameters of pile foundations. The formulations of the reliability based problems lead to mathematical programming which were carried out by the use of non-linear algorithm.

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Reliability based design of driven pile groups using combination of pile driving equations and high strain dynamic pile monitoring

Cited by 11 publications

References 18 publications

An Approach to Assess LRFD-Φ from Load Test and Borehole Data In and Outside the Footprint of a Drilled Shaft

An Approach to Assess LRFD-Φ from Load Test and Borehole Data In and Outside the Footprint of a Drilled Shaft

Experimental study on axial compression monitoring of pile foundation based on sensor-enabled piezoelectric geocable

Optimal Plastic Analysis and Design of Pile Foundations Under Reliable Conditions

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