An Analytical Model for Predicting the Axial Stress Distribution of Self-Tapping Screws Due to Axial Load and Moisture Swelling of Mass Timber Products
Self-tapping screws are becoming increasingly popular for use in modern timber structures. The axial stress distribution of self-tapping screws due to a mechanical load has been previously studied. However, the stress distribution of self-tapping screws due to moisture swelling-induced load from wood has not been explored so far. This research presents an analytical model to predict the axial stress distribution in self-tapping screws embedded in mass timber products under the combined effects of axial mechanical loading and wood moisture-induced swelling. The analytical model has been validated with numerical simulation. The input properties of the analytical model can be determined from withdrawal tests of self-tapping screws and the manufacturer’s guide of screw and mass timber products. A simple program has been developed to predict the stress distribution and maximum axial stress in self-tapping screws for a range of effective penetration lengths under a pre-load and moisture content change. Correctly predicting the maximum axial stress in self-tapping screws under the simultaneous action of a pre-load and wood moisture swelling-induced load can help design safer timber structures. This research provides a practical method for practicing engineers to predict the maximum axial stress in self-tapping screws due to pre-load and wood moisture swelling.
Authors
- Sara Keypoursangsari
- Mehsam Tanzim Khan (ORCID: https://orcid.org/0000-0002-4183-4525)
- Ying Hei Chui (ORCID: https://orcid.org/0000-0002-4448-3898)
- Zengtao Chen (ORCID: https://orcid.org/0000-0002-0106-9638)
- Chun Ni (ORCID: https://orcid.org/0000-0002-8950-3688)
Institutions
- Northwestern University (US)
- University of Alberta (CA)
- FPInnovations (CA)
Publication Details
- Journal
- Buildings
- Published
- 2025-04-15
- DOI
- https://doi.org/10.3390/buildings15081297
- Citations
- 2
- Primary Topic
- Wood Treatment and Properties
- Type
- article
- Field-Weighted Citation Impact
- 2.01