Prediction model of axially-loaded wood-dowel welding joints by high-speed rotation
Source abstract
Abstract
Abstract Since rotational wood welding was patented in 1997, this technology has been successfully used in the field of timber structures and furniture. A growing body of literature has investigated the mechanical behaviour of wood-dowel welding joints in tension to study the effect of various factors on welding strength. However, up to now, only two predictive approaches were proposed by researchers, and due to the lack of small samples, they were applied in a limited scope. Therefore, this paper aimed to find a way to establish a multivariate model to compute their carrying capacity. A pull-out test database including 1338 trials from previous literature was used as the basis of modelling. Due to the similarity of joints with glued-in-rod, after evaluating its model validation, the modelling method was applied to the welded joints. The data analysis was carried out to determine the primary influences (such as: rotational speed, predrilled hole diameter, welded length and substrate density). Based on the non-linear regression analysis, a multivariate prediction model was proposed, and results showed positive accuracy with measured values. This study provides a new comprehensive assessment of the withdrawal strength of welded joints, and can help identify future technical guidelines within the wood industry.
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Research context
OpenAlex topics: Structural Engineering and Vibration Analysis · Wood Treatment and Properties · Civil and Structural Engineering Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Civil Engineering and Communication, North China University of Water Resources and Electric Power , Zhengzhou , 450045 , People’s Republic of China
School of Water Conservancy Engineering and Environment, Zhengzhou University , Zhengzhou , 450001 , People’s Republic of China
Faculty of Civil Engineering, Saint Petersburg State University of Architecture and Civil Engineering , Saint Petersburg , 190005 , Russia
Funding
Key Scientific Research Project of Henan Province · National Natural Science Foundation of China · Research Project of Colleges and Universities in Henan Province · China Postdoctoral Science Foundation
References (30)
Show source-provided references
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