Fatigue assessment of bolted L-flange connections considering preload loss and local bending
Experimental investigation and fracture-mechanics-based analysis
Iman Shakeri (TU Delft - Civil Engineering & Geosciences)
Marc Seidel (Siemens Gamesa Renewable Energy)
Trayana Tankova (TU Delft - Civil Engineering & Geosciences)
Milan Veljkovic (TU Delft - Civil Engineering & Geosciences)
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Abstract
In wind turbine towers, bolted flange connections are subjected to repeated cyclic loading, making fatigue a critical concern for structural integrity. This study experimentally and numerically investigates the fatigue behaviour of M48 bolted L-flange connections subjected to high preload introduced by tension-tightening. The preload initially reached approximately 95% of the bolt yield strength and stabilised at approximately 79% after tensioner removal. A total of 12 full-scale fatigue tests were conducted to quantify the influence of combined axial and bending loading, as well as preload relaxation during cyclic loading. The results show that high preload significantly improves fatigue life, particularly in the endurance-limit region, where existing design standards provide overly conservative predictions. Cyclic loading was found to accelerate preload relaxation, resulting in an increase in the tensile stress range in the bolt. To account for both bending effects and preload loss, an equivalent effective stress range was proposed, which reduced scatter in the fatigue data and provided a more consistent fatigue-damage parameter. In addition, a three-dimensional fracture-mechanics-based fatigue crack growth framework was developed to predict fatigue life. Bolt preload was introduced in the finite element model using a thermo-mechanical approach, and the model was validated against experimental results. Fatigue crack growth parameters were obtained from dedicated tests on specimens extracted from the bolt material. The numerically predicted S-N curves showed good agreement with experimental results and standard-based predictions in the finite-life regime. The proposed methodology improves fatigue-life prediction and supports more reliable design guidelines for preloaded wind turbine flange connections.