Dynamic Hysteretic Characteristics of High-Strength Steels (POSTEN60, POSTEN80) and Application of a Dynamic Hysteresis Model to FE Analysis
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Bibliographic record
Abstract
As steel structures become larger, taller, and longer, the demand for high-strength steel increases. High-strength steels exhibit different mechanical characteristics and hysteretic behavior for dynamic deformation than for quasi-static deformation. This is attributable to the strain rate and temperature dependence of steel materials when nonuniformly deformed in the plastic region. Therefore, to analyze and design structures using high-strength steels under dynamic cyclic loading, such as earthquake loading, it is necessary to consider the special dynamic hysteresis model of high-strength steels. In particular, when using finite-element (FE) analysis programs one should use the proper material characteristics for those steels. In this paper, dynamic hysteresis models for standard high-strength steels, with tensile strengths of 600 and 800 MPa, are formulated based on results of tensile tests and low-cycle fatigue tests over a range of strain rates from 10−4−10 s−1. A three-dimensional elastic-plastic finite-element analysis program using a newly formulated dynamic hysteresis model is developed by the writers. Accuracy and validity of the developed finite-element analysis program is verified by correlation of the analytical and experimental results.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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