Fire Performance of Ultra-High Performance Concrete Double-Wythe Insulated Panels
Bibliographic record
Abstract
Ultra-High Performance Concrete (UHPC) is emerging as an alternative material to conventional normal strength concrete in structural applications including bridges, buildings, and structural strengthening and retrofitting. Adoption of UHPC is limited by its relatively poor performance in fire conditions, a result of its propensity for explosive spalling. Additionally, a lack of formal fire standards and ratings adopted by national building codes for the use of UHPC in structural applications is a deterrent to its adoption. In an effort to enhance the use of UHPC, this thesis presents the results from a large research study on the behaviour of UHPC in fire, with a focus on UHPC double-wythe insulate (DWI) panels. The research study has four major subsections; material characterization under elevated temperatures, small-scale testing under a standard fire, intermediate-scale testing under a standard fire, and numerical modelling. Material characterization, specifically compressive and direct tensile strength tests, are performed on four types of UHPC, which vary by the percentage of synthetic fibres included in their mix design. Small-scale fire tests are performed on two sets of UHPC DWI panels to gain a preliminary understanding on their performance under a standard fire. Single UHPC wythes are also tested under a standard fire to isolate and understand thermal bowing in UHPC. Intermediate-scale fire tests are performed on two sets of UHPC DWI panels to characterize their thermal performance under requirements set by Canadian national building codes. A thermal and structural finite element (FE) numerical model for UHPC DWI panels are developed and verified separately. The thermal model is validated with results from the intermediate-scale fire tests and the structural model is verified with results found in the literature. The models are developed such that future research can combine the thermal and structural analysis to estimate the fire resistance of UHPC DWI panels. This thesis illustrates that conventional UHPC DWI panels are capable of meeting the temperature criteria for fire ratings, however visual observations show that they are unlikely to meet the structural capacity requirements to achieve a satisfactory fire rating.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".