ICF: The World Academy of Structural Integrity – retrospective and prospective
Bibliographic record
Abstract
The International Congress on Fracture (ICF) was created through the vision of Takeo Yokobori in Sendai, Japan in 1965. The primary emphasis of Yokobori was to join the micro- and macro-mechanics aspects of fracture research. The outstanding growth of ICF demonstrates that the founding effort was the right approach to the right topic at the right time. The “ICF Brand” is now recognised around the world as one of the leading international societies in the broad field of structural integrity, fracture, fatigue, creep, corrosion and reliability – from biological to geophysical materials, from nano to macro scales, from basic science to practical engineering and technology and systems modelling. In this paper we trace the history of the development of fracture research and of ICF via the many threads of, for example, the E24/E9 committees of ASTM; the US Committee on Ship Steel linked to work on the Liberty Ships in the Engineering Laboratories, Cambridge, England; early work in Germany, France and Japan – culminating in the MIT Swampscott Fracture Conference of 1959 (“ICF0”), the pre-cursor to ICF1 in Sendai in 1965. We then examine the impact of the ICF quadrennial series of international fracture conferences from ICF1 through to ICF12 in Ottawa, Canada in 2009. The key is the original research presented in some 5000 scientific papers and to be made available online on the new ICF website (www.icf-wasi.org). Finally we examine the evolution of ICF since 2009 towards ICF13 in Beijing, China in 2013 (www.ICF13.org) and forward for the next decade and beyond.
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.
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 | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.042 | 0.026 |
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".