Consistent time-to-failure tests and analyses of adhesive anchor systems

TL;DR

This study investigates the time-to-failure of adhesive anchors under sustained load, comparing experimental results for epoxy and vinylester adhesives, and proposes a new sigmoid-based analysis method for more reliable lifetime predictions.

Contribution

It provides a comprehensive experimental dataset and introduces a novel sigmoid function approach for analyzing time-to-failure data of bonded anchors.

Findings

Sigmoid function offers better fit than traditional models.

Experimental data supports improved lifetime prediction accuracy.

Guidelines for efficient time-to-failure testing are established.

Abstract

Motivated by tunnel accidents in the recent past several investigations into the sustained load behavior of adhesive anchors have been initiated. Nevertheless, the reliable life-time prediction of bonded anchor systems based on a relatively short period of testing still represents an unsolved challenge due to the complex non-liner viscoelastic behaviour of concrete and adhesives alike. This contribution summarizes the results of a comprehensive experimental investigation and systematically carried out time-to-failure analysis performed on bonded anchors under sustained tensile load. Two different adhesive materials that find widespread application in the building industry were used, one epoxy and one vinylester based. Performed experiments include full material characterizations of concrete and the adhesives, bonded anchor pull-out tests at different loading rates, and time-to-failure sustained load tests. All anchor tests are performed in a confined configuration with close support. After a thorough review of available experimental data and analysis methods in the literature the experimental data is presented with the main goals to (i) derive a set of recommendations for efficient time to failure tests, and (ii) to provide guidance for the analysis of load versus time-to-failure test data. Finally,a new approach based on a sigmoid function is proposed and compared to the established regression models. The analyses indicate a better agreement with the physics of the problem and, thus, more reliable extrapolations.