Vibration-based strength grading of sawn timber

The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to investigate a new, data-driven technique that utilizes piezoceramic transducers together with one-dimensional convolutional neural networks for accurate strength grading of structural timber.

Vibration-based strength grading of sawn timber using piezoceramic transducers and one-dimensional convolutional neural networks
Osama Abdeljaber, Anders Olsson and Welf Löwe
Project period
May–Oct 2020
Core research areas
Building technology, computer science
Strength grading proposal DISA 2004.pdf
DISA strength grading presentation.pdf

DISA's seed projects

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