Structural behaviour of insulated foam-timber panels under gravity and lateral loading
Bibliographic record
Abstract
A Structural Insulated Panel (SIP) is a structural element of expanded polystyrene insulation (EPS) core sandwiched between two oriented-strand boards (OSB). This research proposes SIPs in low-rise residential construction (i.e. houses and low-residential building), replacing the traditional conventional joist floors and stud walls. This research investigates (i) developing expressions for flexural, compression, monotonic racking and cyclic lateral load capacities of SIPs as compared to the joist/stud wall construction. In this study, the proposed design of SIPs was based on (i) generally established theory for analysis, (ii) assessment of full-scale SIP panels by a loading tester, and (iii) computer modeling using the finite-element modeling. The research program included (i) testing SIP walls in axial compression and bending, (ii) racking and cyclic testing on SIP shear walls, (iii) development of finite-element computer models of the tested SIP panels and verifying those using experimental findings, (iv) correlation between experimental findings and design equations for strength and serviceability available in the literature and wood design Standards. Modification factors of these equations were developed to allow structural engineers to design SIP panels in residential construction more economically reliably. Experimental results showed that SIP panels are being “as good as” the conventional wood-framing of identical sizes, with respect to flexural, compressive, racking and cyclic loading. Also, results showed SIP walls have a greater ability to dissipate energy under racking and cyclic loading that the stud wall system. Therefore, SIP walls can be used so efficient in seismic zones. Based on cyclic lateral load test results, the values of ductility-related force modification factor (Rd) for stud wall, short SIP wall and long SIP wall were calculated as 8%, 22% and 14% lower than the NBCC required value for anchored wall (Rd = 3.0), respectively. In addition cyclic lateral load test results showed that the values of over-strength-related force modification factor (Ro) for stud wall, short SIP wall and long SIP wall were observed to be 17%, 20% and 14% higher than the recommended value of NBCC (Ro = 1.7) for anchored wall, respectively. So, it is concluded that the over-strength factor indicates a confident reserve of resistance in interconnected wall segments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".