Towards a Multi-hazard Framework for the Design of Taller Timber Structures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Multi-hazard events, though infrequent and rare, are responsible for a substantial portion of global economic losses. This book chapter investigates the complexities of multi-hazard events and explores the design challenges and methodologies in multi-hazard risk assessment and structural resilience for wooden structures. Special attention is given to the interaction between earthquakes, fires, and blast loads on timber structures, highlighting the state of the art, the gaps in current research, and the potential for probabilistic design and analysis approaches to enhance understanding and improve structural resilience and robustness. The limitations of existing design codes and standards are reviewed and frameworks for assessing cumulative damage and risk under multi-hazard scenarios are discussed. The book chapter aims to provide the state of the art on the topic and guide future research and practical applications in designing timber structures capable of enduring multiple hazards, thereby enhancing the safety and sustainability of the built environment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it