Conference proceeding
A laser-based quality control of screw penetration in mass timber connections
v 12951, pp 1295127-1295127-4
09 May 2024
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Mass timber is a relatively new and sustainable construction material that can carry large loads. Such loads require new connections that often use very long screws. However, ensuring their mechanical integrity against overtightening is paramount for structural safety. Traditional manual evaluations present limitations. This research employs laser scanning technology for automated evaluation of screw penetration in wood-aluminum interfaces using VGS9180 screws. By applying torque ranging from 10 to 50 Nm in 5 Nm intervals, a critical torque-penetration correlation emerged, highlighting a sensitive range between 35-40 Nm. Within this range, small overtightening can jeopardize the integrity of the connection. The study underscores laser scanning’s efficacy in pinpointing improperly torqued screws, offering a potential leap in quality assurance for timber construction. The results of this study indicate a threshold-based method can detect overtightened screws on the experimental setup when the distance between two surfaces falls beyond 3.2 mm.
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1 citations in Scopus
Details
- Title
- A laser-based quality control of screw penetration in mass timber connections
- Creators
- Ali Ghadimzadeh Alamdari - Drexel Univ. (United States)Abieyuwa Aghayere - Drexel UniversityArvin Ebrahimkhanlou - Drexel University
- Contributors
- Zhongqing Su (Editor) - Hong Kong Polytechnic UniversityKara J. Peters (Editor) - North Carolina State UniversityFabrizio Ricci (Editor) - Univ. degli Studi di Napoli Federico II (Italy)Piervincenzo Rizzo (Editor) - University of Pittsburgh
- Publication Details
- v 12951, pp 1295127-1295127-4
- Publisher
- SPIE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:001235352400059
- Scopus ID
- 2-s2.0-85194848060
- Other Identifier
- 991021889914504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Materials Science, Characterization & Testing