Abstract
Projects involving construction of piled foundations often rely on preliminary full-scale field tests to failure to predict performance under applied load. If these tests are not available, the ensuing uncertainty will naturally lead to conservative design assumptions. Such design assumptions will result in higher construction costs and often in longer construction times. This paper shows how a database of previous pile load tests can be used in conjunction with simple analytical tools to attempt a quantification of performance uncertainty. Data from a series of previously published axial load tests on piles in London Clay is employed to this end. The methodology developed in this paper can arguably be expanded to a wider range of test sites and geological materials.
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Acknowledgments
The authors acknowledge the support of University of Bristol and “Databases to INterrogate Geotechnical Observations (DINGO)” EP/P020933/1 EPSRC. The second and third authors were supported by the Engineering and Physical Sciences Research Council [Grant Numbers: EP/N509619/1 and EP/R51245X/1, respectively]. The authors would like to thank Professor George Mylonakis for his valuable support in the preparation of this manuscript and Dr Melvin England for his helpful comments and suggestions.
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Voyagaki, E. et al. (2019). Analytical Approaches to Predict Pile Settlement in London Clay. In: El-Naggar, H., Abdel-Rahman, K., Fellenius, B., Shehata, H. (eds) Sustainability Issues for the Deep Foundations. GeoMEast 2018. Sustainable Civil Infrastructures. Springer, Cham. https://doi.org/10.1007/978-3-030-01902-0_14
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