Slope topographic effects on the nonlinear seismic behavior of groups of similar buildings
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The occurrence of vibrational energy exchange between neighboring buildings via soil is a well‐known issue today as structure‐soil‐structure interaction (SSSI) problems. Furthermore, the seismic performance of buildings near the slopes considering seismic topography‐soil‐structure interaction (TSSI) is entirely different from their performance on the flat grounds considering seismic soil‐structure interaction (SSI). Therefore, this study evaluates the seismic response of three moments resistant frame steel buildings with 15, 10, and 5 stories using three dimensional numerical analysis as a new topography‐structure‐soil‐structure interaction (TSSSI) problem. This issue has not been investigated in previous studies to the best of the authors' knowledge. In each case of TSSSI, two, three, and four buildings with similar dynamic properties were simulated simultaneously. The effects of foundation's rocking, numbers of buildings, and the 2D and 3D arrangements of buildings were investigated, and the results of TSSSI cases were compared with the corresponding SSSI cases. The inelastic behavior for both building components and soil was considered in the simulations. Analyzes are performed based on seven earthquake records from which the average value was taken as final results. Results show that it is essential to consider the TSSSI effect, and it can completely change the seismic performance of buildings near the slopes. Although the effects of TSSI and SSSI on the seismic responses of the low‐rise similar structures are negligible relative to the SSI cases, the results show that the nonlinear TSSSI effects of adjacent buildings should be fully considered even for 5‐story low‐rise structures.
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.
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 | 0.001 |
| 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