journal article·2026-02-02

A novel method for the severity evaluation of a loose bolt based on the nonlinear output spectrum

Quankun Li, Bin Shi, Shuguang Wang, Siji Wang, Xi Chen, Heow Pueh Lee

Publisher page

Abstract

Bolted joints are frequently applied to fasten structures because of their obvious advantages in economy and convenience. However, they are also easily subjected to loosening under vibration loads, which may seriously affect structures’ integrity and reliability. Thus, diagnosing loose bolts as early as possible is very important. To consider some issues in existing nonlinear output spectrum-based methods, a new method for the severity evaluation of a loose bolt is presented in this paper. Firstly, the dynamic model of one typical bolted joint is simplified to a single degree-of-freedom system with nonlinear stiffness properties, and the relation between linear/nonlinear stiffness coefficients and output spectra is studied. Thereafter, with a harmonic excitation with a single frequency, linear/nonlinear stiffness coefficients are identified with nonlinear output spectra directly. Based on this, three effective evaluation indexes, which are proportional to bolt pressure, preload and torque, are defined for the severity evaluation of the loose bolt. Results from theoretical analysis, simulation examples and experimental cases show that as the loose severity increases, the first index will decrease, the second index will increase, and the third index will also increase with obvious larger change trend.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Bladed Disk Vibration Dynamics · Structural Health Monitoring Techniques · Engineering Structural Analysis Methods

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Northwestern Polytechnical University

Aero Engine Corporation of China

Southern University of Science and Technology

National University of Singapore

Funding

National Natural Science Foundation of China · Natural Science Basic Research Program of Shaanxi Province · China Scholarship Council

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