Cyclic Performance of a Piston Based Self-Centering Bracing System
Why this work is in the frame
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Bibliographic record
Abstract
The major difficulties faced with traditional structural bracing systems against seismic loading include compression buckling and permanent residual deformation under seismic loading. Once buckling occurs, the strength and stiffness of a brace gets significantly reduced and the stiffness degrades rapidly in subsequent load cycles. A significant number of researches have been conducted in resolving this issue and various ideas have been proposed and developed for the industry, e.g. buckling restrained brace, cast steel yielding fuse, SCED, MANSIDE, and RHDB braces, etc. Unfortunately, most of these solutions are expensive and complicated to construct. Authors here have proposed a novel approach in addressing this issue using a modification of a device commonly seen in mechanical systems, which is a cylinder-piston assembly. In this system, stiffness and re-centering are contributed by shape memory alloy ties. This study investigates the behavior of this innovative Piston Based Self-Centering (PBSC) bracing system in finite element environment. Utilizing this assembly, a brace member is able to carry large magnitude of tensile and compression loading without buckling. Furthermore, this brace is able to re-center after large nonlinear deformation. This paper presents the results of the analytical investigation carried out in ABAQUS software using finite element method. The load deformation hysteresis was determined and a flag shaped hysteresis was achieved, which indicates good re-centering capability of the proposed system.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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