An integrated simulation method for soil‐structure interaction analysis of nuclear structures
Bibliographic record
Abstract
Abstract This paper presents the development, implementation and application of an integrated simulation method for non‐linear soil‐structure interaction (SSI) analysis of nuclear structures. The integrated simulation method allows decomposition of the soil‐structure system into three subsystems: the superstructure, the soil‐foundation interface, and the soil domain. Each decomposed subsystem can be modelled independently using a proper finite element analysis program to accurately represent its non‐linear behaviour as per the current guideline for non‐linear SSI analysis of nuclear structures. The integrated simulation method is applicable to both static and dynamic analysis cases. The method was applied to the detailed SSI analysis of a realistic nuclear containment structure. The analysis was benefited by using different analysis tools for the three subsystems to capture both material and geometrical nonlinearities such as sliding and gapping at the soil‐foundation interface. The integrated model was compared with the model based on the fixed‐base assumption. Different results address the importance of non‐linear SSI analysis for seismic performance assessment of nuclear structures.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".