Identifying unaccounted capacity of ground anchors through Bayesian updating
a case study
J. van der Zon (Royal HaskoningDHV)
L. Flessati (TU Delft - Geo-engineering)
A. Mavritsakis (Deltares)
C. Habets (Royal HaskoningDHV)
Timo Schweckendiek (Deltares, TU Delft - Hydraulic Structures and Flood Risk)
Alfred Roubos (Port of Rotterdam, TU Delft - Hydraulic Structures and Flood Risk)
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Abstract
Ground anchors are crucial components in various construction and engineering applications. They play a critical role in retaining structures and, therefore, design guidelines have established the necessity of comprehensive testing campaigns to derive the anchors characteristic resistance. The latter is a specified percentile within a presumed statistical distribution. In principle, a limited number of investigation tests cannot be used to estimate the characteristic values. To overcome this limitation, in a simplified way, the design codes suggest reducing the resistance found in experimental results by a factor to estimate the anchor characteristic resistance to be used in the design. In this paper, the authors propose a new approach for interpreting ground anchor test results and determining the statistical distribution of ground anchor resistance. The approach is based on the use of Bayesian updating, formulated as a structural reliability problem, and on the definition of a simplified phenomenological model relating the imposed load and the measured anchor (creep) displacements. This distribution can be used to determine a “proven” anchor characteristic resistance, which can then be used to update the anchor design.