Exploration of alternative to lightweight structural system with corrugated structural insulated panel
Bibliographic record
Abstract
Structural Insulated Panels (SIPs) gained popularity in construction literature since Nicholls introduced the concept in 1991. SIPs have advantages over conventional methods like light-frame construction due to their stiffness, which governs their general structural behavior. Corrugated panels, as highly rigid materials, could bring stiffness to this system. While corrugated panels are known for their high rigidity, their mechanical application in SIPs has not been well-documented in the literature. This study aims to address this gap by investigating the mechanical performance of innovative corrugated SIP prototypes. Prior to full-scale manufacturing, cohesion tests were conducted to verify laboratory bonding. Two types of tests were carried out to evaluate the mechanical performance of the prototypes. Firstly, compression tests were performed on 2400 mm x 1200 mm samples. The results indicated that the prototypes exhibited greater stiffness than wood light frames, with minimal buckling deformation and brittle fractures. Secondly, shear tests were conducted on 2400 mm x 2440 mm specimens, revealing that they were four to seven times stronger than lightweight timber frames. The prototypes also demonstrated increased stiffness, with minimal displacement and brittle fractures. In comparing existing lightweight structural systems and prototypes it became evident that the prototypes demonstrated greater strength with minimal buckling deformation. However, it was noted that the prototypes exhibited brittleness and would require the addition of ductility through connectors. • Under compressive loads, corrugated panels increase SIPs’ performance. • Prototype's racking performance can be 6 times greater than wood light-frame. • PISOND SIPs require ductile connectors for brittle behavior.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".