1. Static and dynamic analysis of piles in inhomogeneous soil
- Author
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Crispin, Jamie J., Mylonakis, George, and Vardanega, Paul
- Abstract
Piled foundations generally fail due to excessive deformations causing damage to the supported structure. Historically codes of practice have relied upon large factors of safety to ensure pile plunging and/or excessive bending is sufficiently unlikely. However, in order to properly assess foundation performance, reliable methods to predict deformations are required. Therefore, simplified methods for static and dynamic analysis of piled foundations under axial and lateral loads are of particular interest to an engineer. To this end: (1) a number of methods to calibrate Winkler springs and dashpots are briefly reviewed alongside existing Winkler solutions for homogeneous soil. (2) new exact and approximate solutions for the static and dynamic stiffness of single piles in axial and lateral modes are derived for inhomogeneous soil profiles using the Winkler model. The approximate solutions are based on energy principles obtained by means of shape functions analogous to those used in finite-element formulations. (3) novel solutions for pile groups under static and dynamic loads are derived using the interaction factor approach. Exact and approximate (energy-based) solutions for the interaction factors in axial and lateral modes are derived for both homogeneous and inhomogeneous soil profiles using the three-step model. (4) exact and approximate approaches are derived for the nonlinear response of piles. The exact solutions are based on linear elastic-perfectly plastic soil response while 't-z', 'q-z' and 'p-y' curves are used to obtain the approximate solutions. (5) results are presented in the form of dimensionless graphs and charts that show the influence of key parameters on pile response. Detailed comparisons with more rigorous numerical continuum solutions are presented alongside illustrative application examples. (6) an open-access database of axial pile load tests in UK soils was utilised to evaluate the settlement prediction performance of the relevant solutions developed in this work.
- Published
- 2022