Fatigue life of preloaded injection bolts in a bridge strengthening scenario – sensitivity analysis of fatigue life estimators

ce/papers ◽  
2021 ◽  
Vol 4 (2-4) ◽  
pp. 125-130
Author(s):  
Bruno Pedrosa ◽  
Carlos Rebelo ◽  
José Correia ◽  
Milan Veljkovic ◽  
Luís Simões da Silva
Author(s):  
Mohamed Khalil ◽  
Roland Wüchner ◽  
Kai-Uwe Bletzinger

Abstract Estimation of material fatigue life is an essential task in many engineering fields. When non-proportional loads are applied, the methodology to estimate fatigue life grows in complexity. Many methods have been proposed to solve this problem both in time and frequency domains. The former tends to give more accurate results, while the latter seems to be more computationally favorable. Until now, the focus of frequency-based methods has been limited to signals assumed to follow a stationary statistic process. This work proposes a generalization to the existing methods to accommodate non-stationary processes as well. A sensitivity analysis is conducted on the influence of the formulation’s hyper-parameters, followed by a numerical investigation on different signals and various materials to assert the robustness of the method.


Author(s):  
Cesare Mario Rizzo ◽  
Efren Ayala-Uraga

Fatigue life calculations have been recently introduced as explicit checks in classification societies rules for shipbuilding. Such checks are based on the classic S-N approach, which cannot be easily applied to the condition assessment of structural details. Fracture mechanics approach allows describing the structural degradation of ageing structures and the reliability framework accounts for the inherent probabilistic aspects of fatigue. This approach gains relevance as many ship tankers are being converted to operate as offshore ships. This paper carries out a sensitivity analysis of the reliability model for fatigue life calculations of typical ship’s welded joints based on fracture mechanics, aiming to select the most influencing parameters, before and after inspection updating.


2006 ◽  
Vol 91 (2) ◽  
pp. 25-31
Author(s):  
Chunsheng Wang ◽  
Yue Xu ◽  
Xiaoyan Zheng

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