A Novel Contactless Bolt Preload Monitoring Method Using Digital Image Correlation
| Autor: | Alberto Lavatelli, Dimitri Debruyne, Ruben Balcaen, Carlos Jiménez-Peña, Emanuele Zappa |
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| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Digital image correlation Computer science business.industry Mechanical Engineering digestive oral and skin physiology Structural engineering Clamping force 01 natural sciences Load cell Displacement (vector) Preload Bolted connections Critical parameter Mechanics of Materials Bolted joint 0103 physical sciences Solid mechanics Pretension Monitoring methods business 010301 acoustics circulatory and respiratory physiology |
| Zdroj: | Journal of Nondestructive Evaluation. 40 |
| ISSN: | 1573-4862 0195-9298 |
| Popis: | Bolt preload is a critical parameter in bolted connections with a strong influence on their general structural behavior. Traditional bolt preload estimation methods are sensitive to the surface conditions of the fastening elements while more accurate measuring methods might require significant modifications of the connection, such as embedded sensors. In this study, a novel contactless bolt preload monitoring method based on Digital Image Correlation measurements of the bolt elongation was developed. A fixed bolted setup was designed to validate the optical measurements with laser triangulation and three-dimensional point tracking, while the bolt preload was monitored with an embedded load cell. Two M16 bolt classes, 8.8 and 10.9, and multiple bolt lengths were evaluated. The bolt preload and displacement results correlated well with the available bolt theoretical models and an accurate preload estimation was possible. An analysis on the method resolution demonstrates that better resolutions are achieved with slender and long bolts. The method resolution is estimated to be under 2.25% and 1.8% of the recommended bolt preload value for each bolt class, respectively. |
| Databáze: | OpenAIRE |
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