Reduced-Order Modeling of Bolt Loosening: Application to a Pair of Oscillators Under Transverse Shock Excitation
Qirui He, Rui Wang, Matthew J. Alexander, Keegan J. Moore

TL;DR
This paper develops a reduced-order model that predicts bolt loosening under transverse shock by treating bolt tension as a dynamic variable, validated through experiments on coupled oscillators with a lap joint.
Contribution
It introduces a novel reduced-order modeling approach that captures bolt tension dynamics to predict loosening, enabling efficient analysis of bolted joint behavior under shock.
Findings
Model accurately predicts bolt tension and loosening behavior.
Experimental validation confirms the model's effectiveness.
Framework applicable to large-scale structures with many bolts.
Abstract
The safety and integrity of engineered structures are critically dependent on maintaining sufficient preload in their bolted joints. This preload can be dynamically lost due to sustained vibrations or sudden shock that are large enough to induce slip in the threads. While high-fidelity finite element simulations and analytical methods can accurately model the loss of preload for a single, their prohibitive computational expense and complexity render them unfeasible for analyzing large-scale structures with many bolts. This creates a critical need for reduced-order models that capture the essential physics of loosening while remaining computationally efficient. This paper introduces a reduced-order modeling methodology for predicting the loosening of bolted lap joints subjected to transverse shock excitation. The core idea is to treat the bolt tension as a dynamic degree-of-freedom that…
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Taxonomy
TopicsBladed Disk Vibration Dynamics · Engineering Structural Analysis Methods · Structural Health Monitoring Techniques
