Improving density estimation in large cross-section timber from existing structures optimizing the number of non-destructive measurements. (30th June 2019)

• Record Type: Journal Article
• Authors: Osuna-Sequera, Carlos; Llana, Daniel F.; Esteban, Miguel; Arriaga, Francisco
• Is Part Of: Construction & building materials. Volume 211(2019)
• Page Start: 199
• Page End: 206
• Publication Date: 2019-06-30
• Subjects: Density estimation -- Drilling chips extraction (DCE) -- In-situ assessment -- Measurement procedure -- Needle penetration resistance (NPR) -- Non-destructive testing (NDT) -- Screw withdrawal resistance (SWR) -- Timber; Building materials -- Periodicals; 624.18
• DOI: 10.1016/j.conbuildmat.2019.03.144
• Languages: English
• ISSNs: 0950-0618

Abstract

Highlights: Proposal of NDT for density estimation in existing structural timber pieces. Different measurement criteria depending on location of readings were analysed. Optimizing accuracy and cost. 45 specimens from 18th century building were analysed. Abstract: The density of 45 structural Salzmann pine timber pieces with nominal dimensions of 150 × 200 × 5000 mm 3 from an existing 18th century structure was estimated using the following non-destructive methods: needle penetration resistance (NPR), screw withdrawal resistance (SWR) and drilling chips extraction (DCE). Non-destructive testing (NDT) measurements were correlated with actual and apparent density (considering a rectangular cross-section instead of the actual profile). Ten non-destructive measurements were taken in each specimen with each device. The best results were obtained with DCE and the poorest with NPR. The increase of the determination coefficient obtained by increasing the number of measurements did not show a great improvement from the fifth to the tenth measurement: r 2 = 0.12–0.65 for one reading, 0.35–0.77 for five readings and 0.42–0.76 for ten readings, depending on the device. Because density varies along pieces, three accumulated measurement sequences along them were analyzed to correlate better with the minimum number of readings: Linear (LM), End to Centre (ECM) and Centre to End (CEM) methods. CEM was the most effective sequence, giving higher r 2 than the others. In practical work involving the in-situ estimation of density it is recommended that a minimum of 3 or 4 measurements using CEM be performed.