Work

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

Year: 2024

Type: conference-paper

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.

Source: ACM Conference on Embedded Networked Sensor Systems (SenSys)

DOI: 10.1145/3666025.3699389

Authors: Minarul Islam, Xueyang Hu, Tao Shu

Institution: Auburn University

Language: English

Topic: Structural Health Monitoring Techniques

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

Funder: National Science Foundation