THE LIMIT STATES COMPRESSIVE STRENGTH ESTIMATION FOR SIMPLE STIFFENED PLATE WITH LARGE ASPECT RATIO
Bibliographic record
Abstract
幅が狭い箱桁等に用いられる単リブ補剛板の圧縮強度を，実験および数値計算結果から検討した．まず，橋梁用高降伏点鋼板SBHS500と普通鋼板SM490Y製の単リブ補剛板4枚で構成される矩形短柱の圧縮実験を4ケース実施し，圧縮強度特性および荷重-面外変位関係などを明らかにした．この実験供試体では初期不整も併せて計測し，計測結果および圧縮試験結果を用いて非線形有限要素モデルの検証を行い，十分な精度で解析可能なことを確認した．つぎに，初期不整と幅厚比パラメータをパラメトリックに変化させた解析モデルを用いて，確率論的手法による単リブ補剛板の圧縮強度特性を明確にした．最後に，これらの結果から単リブ補剛板の終局限界強度および使用限界強度を，道路橋示方書，AASHTO, Canadian CodeおよびEurocodeと比較しながら提案している．
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 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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 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".