Analytical Modeling of Self-Loosening of Bolted Joints Subjected to Transverse Loading

Author:

Fort Valentin1,Bouzid Abdel-Hakim2,Gratton Michel3

Affiliation:

1. École de Technologie Supérieure, 1100, rue Notre-Dame Ouest, Montréal, QC H3C 1K3, Canada e-mail:

2. Mem. ASME École de Technologie Supérieure, 1100, rue Notre-Dame Ouest, Montréal, QC H3C 1K3, Canada e-mail:

3. Institut National des Sciences Appliquées Centre Val de Loire, 3 Rue de la Chocolaterie, Blois 41 000, France e-mail:

Abstract

Self-loosening of bolted joints is a common issue in structural connections and machine design. This phenomenon can not only cause the industry a lot of losses due to maintenance but can result in catastrophic incidents leading to environment and health issues. This paper presents a new analytical model with an improved criterion that could be used to predict self-loosening of bolted joints. A complete study involving analytical, numerical, and experimental work has been conducted to give an insight of the mechanism leading to self-loosening of bolted joints and support the developed model. Particular focus is put on the effect of the clamping plate thickness on the self-loosening of the joint. A fully instrumented experimental setup, in conjunction with an M12-1.75 bolt, is deployed to track the bolt tension decrease with the application of an imposed cyclic transverse displacement. In addition to the measurement of the transverse relative displacement between the two clamping parts, the clamping and transverse loads are also recorded. Finally, the relative rotation between the bolt and the nut is measured by means of a rotation sensor directly installed on the nut. The results show that there is a good agreement between the analytical, numerical and experimental results. The new model is compared with finite element method (FEM) and experimentation for different plate thickness configurations.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

ASME International

Subject

Mechanical Engineering,Mechanics of Materials,Safety, Risk, Reliability and Quality

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1. A prediction model of bolted joint loosening based on deep learning network;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2023-11-14

2. Analytical and Numerical Study of Mechanical Behaviour of Bolted Joints –A Review;International Journal of Advanced Research in Science, Communication and Technology;2023-06-29

3. A Phenomenological Model for Bolt Loosening Characteristics in Bolted Joints Under Cyclic Loading;International Journal of Precision Engineering and Manufacturing;2023-03-16

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