Radiation Efficiency Of Cross Laminated Timber Panels By Finite Element Modelling
Bibliographic record
Abstract
Tall wood buildings are growing in North America with the development of mass timber panels such as cross laminated timber (CLT). As a new building material, the sound radiation behavior is not well understood. This study proposes a finite element modelling (FEM) approach using ABAQUS finite element software to investigate the sound radiation efficiency of typical Canadian CLT panels with experimental elastic constants. The FEM method is first developed based on isotropic thin plate theory and verified with reported analytical solutions. Then one CLT panel with simple-support boundary conditions from literature is modelled as both thin and thick orthotropic plates under harmonic excitations. The radiation efficiency is calculated by post processing the sound power and velocity from FEM. The results have been compared with the reported experimental data and analytical data based on thin orthotropic plate theory. A general agreement is found between the FEM results and the literature results except some discrepancies at certain frequency bands. An attempt was made to investigate the effect of boundary conditions on radiation efficiency considering the real boundary condition realized in the lab. It is found that the boundary condition has some effect on the results, the clamped boundary condition seems to have better agreement than the reported simple support. Moreover, the FEM approach is adopted to evaluate the radiation efficiencies of different CLT panels made in Canada, namely 3-ply, 5-ply and 7-ply, using experimentally measured elastic constants. The results reveal that the influence of elastic constants on critical frequencies of different types of CLT panels. Under the critical frequency (up to 500 Hz), the elastic constants have a significant effect on radiation efficiencies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".