Load-displacement appraisal and analysis for driven piles; a data-centric approach

Abstract

Data-centric geotechnics is an ever-evolving field for facilitating digital transformation. The major issues for foundation design, bearing capacity, settlement and interactions of super and substructure are inherently emanated in load–displacement records. Considering the pivotal role of load–displacement behavior, it is believed to be a data center in foundation engineering. In this study, from the compiled FELADD database, including twelve foundation types load–displacement records, 71 driven piles have been gained. Aiming toward the data-centric approach, records have been processed, organized and filtered. For computing ultimate and limit load, three criteria of 10%B, Brinch-Hansen 80% and hyperbolic function are engaged. Through adopting promising criteria for normalizing load–displacement, dominant factors including embedment depth, breadth and surrounding soil type were appraised. The results indicated that higher stiffness and ultimate load are achieved for piles with higher embedment depth and larger breadth, in competent layers. Load-displacement normalization has revealed significant points. The relative displacement of 1% is recognized as the appropriate point in elastic stiffness calculation, somehow compatible with safety factor of 2. Moreover, the yielding trend is mobilized for relative displacement in the range of 5 to 10%. Overall, the load–displacement records and processing, as a data center proceeds value engineering in foundation design.