Poster: Vi-Detect: Fine-Grained Vibration-Based Component Looseness Detection Using Smartphones

Many civil structures are at risk of failure due to bolts loosening under shock or vibration. Early detection of looseness is critical for safety. In this research, we utilize mathematical model with motion equations and optimization technique to estimate parameters that can detect looseness. A novel tightness index is introduced to quantify the extent/degree of looseness. The method was validated on wood and steel structures for demonstrating its effectiveness.

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Published
2024-11-04
DOI
https://doi.org/10.1145/3666025.3699389
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Poster: Vi-Detect: Fine-Grained Vibration-Based Component Looseness Detection Using Smartphones

Tao Shu, Xueyang Hu, Minarul Islam
Structural Health Monitoring Techniques
article

Poster: Vi-Detect: Fine-Grained Vibration-Based Component Looseness Detection Using Smartphones

Tao Shu, Xueyang Hu, Minarul Islam
article en

Abstract

Many civil structures are at risk of failure due to bolts loosening under shock or vibration. Early detection of looseness is critical for safety. In this research, we utilize mathematical model with motion equations and optimization technique to estimate parameters that can detect looseness. A novel tightness index is introduced to quantify the extent/degree of looseness. The method was validated on wood and steel structures for demonstrating its effectiveness.

Auburn University (US)
National Science Foundation
Openalex Percentile: Top 78%
Structural Health Monitoring Techniques
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