Use and Application of High-Performance Steels for Steel Structures
Bibliographic record
Abstract
<p>New steel production processes have led to a remarkable improvement in steel products within the last few years, and now allows steels to be produced according to the desired mechanical and chemical properties. High-Performance Steel (HPS) is the designation given to this new generation of steels that offer higher performance not only in terms of strength but also toughness, weldability, cold formability and corrosion resistance, compared to the traditionally used mild steel grades.</p> <p>The development of HPS goes with today's increased demand for slender lightweight structures, as for example in bridge design and the design of high-rise buildings, where there is a strong requirement to use high-strength materials in combination with good execution and fabrication properties. However, on the structural engineering side there is a need for knowledge on these new steel grades, and quite often design codes do not provide sufficient information to fully exploit the advantageous properties of HPS.</p> <p>The present volume provides an overview of the development and application of HPS on an international level. This is done by giving information on, for example, the production process, the chemical and mechanical properties, the relevant design and fabrication standards and on recent research results. Approximately fifteen included examples of realised applications aim to provide detailed information based on existing technical solutions, and to point out the major benefits when using HPS in comparison to mild steels.</p> <p>The document is thus not a monograph but an assembly of contributions from different countries. lt is separated into chapters related to different countries, namely the USA, Canada, Japan and Europe, all of them providing a state-of-the-art report on HPS.</p>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.009 |
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".