Linking Next-Generation Performance-Based Seismic Design Criteria to Environmental Performance (ATC-86 and ATC-58)
Bibliographic record
Abstract
The Federal Emergency Management Association (FEMA) has sponsored a project by the Applied Technology Council (ATC) to develop next generation performance-based seismic design guidelines, FEMA P-58, that can be used to design new buildings or upgrade existing buildings to reliably and economically attain desired performance goals, and to assist stakeholders in selecting appropriate design performance goals for individual buildings (ATC, 2011). The project includes the establishment of a methodology for predicting the earthquake performance of buildings characterized in terms of probable life loss, repair costs and time out of service resulting from earthquake effects, expressed in a variety of formats useful to different stakeholders and decision makers. As part of this effort a Performance Assessment Calculation Tool (PACT) has been developed to gather and organize building information, perform loss calculations and evaluate loss information. In the spring of 2011, the project was expanded with the initiation of the ATC 86 to develop a draft methodology to quantify the environmental impacts (in terms of carbon footprint and other measures) of seismic damage and potential environmental benefits of performance based seismic design and retrofit. The project team is currently developing strategies to link life cycle assessment data to the damage and repair estimates generated by the P-58 methodology and as of December 2011 is approximately half way through the project. This paper outlines the seismic and environmental performance measures being integrated by the ATC-86 team and identifies critical issues to address as the project moves forward.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".