A probabilistic approach to the evaluation of the bending strength of timber beams with integration of data from on-site tests
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A probabilistic method to evaluate the bending strength of maritime pine beams (Pinus pinaster Aiton) was explored. The beams were subjected to an experimental campaign that started by allocating them to a visual strength grade and segmenting them lengthwise into clear wood and weak zones. The weak zones are associated with a reduced bending strength that is caused by the presence of knots or grain deviation. Non-and semi-destructive techniques were used to gather information regarding the physical and mechanical properties of the clear wood. Bending tests were carried out until failure to determine the strength of the beams. The method to predict the structural behaviour of the elements was developed under a probabilistic framework based on Monte Carlo simulations in which the reference properties of the beams were assigned randomly based on their probability distributions. The results show that the characteristic strength values assigned to the timber pieces after strength grading only frequently underestimate their strength and that the probabilistic method applied could be used to safely explore the capacity reserve of the timber elements.
KeywordsTimber structures On-site tests Bending strength Knots Timber beam model Probabilistic analysis
The authors acknowledge the financial support provided by the Portuguese Foundation for Science and Technology (FCT), through the research project ProTimber (PTDC/ECM-EST/1072/2014)—Probabilistic Assessment of Existing Timber Structures.
This study was funded by FCT (PTDC/ECM-EST/1072/2014).
Compliance with Ethical Standards
Conflict of interest
The authors declare that they have no conflict of interest.
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