Publication Abstract




Proceedings of the 45th Annual Conference on Deep Foundations, 2020 - ONLINE , (DFI)

CPT and Pile Database for Performance-Based Design of Pile Axial Bearing Capacity
Abolfazl Eslami, Sara Heidarie Golafzani, Sara Moshfeghi

Supplying continuous several records and reducing uncertainty associated with measurement errors, employing Cone Penetration Test (CPT) enhances geotechnical design to a more satisfying level. In this regard, databases encompassing pile and CPT data are of great importance. Data mining and examining compiled CPT and pile databases reveals important facts about the piling performance including installation, bearing capacity and value engineering. Thus, databases facilitate assessing pile bearing capacity derived by predictive methods via reliability-based and statistical-probabilistic criteria, providing an insight into the capability of each method. Accordingly, in this paper, a new reliability-based approach is introduced, through an assessment of a few elaborated works on typical CPT and pile databases. The proposed algorithm assists with comparing the characteristics and conditions of a given pile with similar cases in the database through screening, and consequently, making a decision on priority of the design methods. Additionally, in case of insufficient data availability, the required information can be either reproduced or selected judiciously based on available similar data. Eventually, upon various assessment criteria, the optimum site-specific methods are proposed leading to a performance-based design in geotechnical practice.


 article #3702; publication #1073 (AM-2020)