Pengaruh Penambahan Dinding Geser Terhadap Perilaku Struktur pada Gedung Bertingkat 10 Lantai di Kota Malang
Bibliographic record
Abstract
Building planning with earthquake-resistant structures is carried out to reduce the risk of loss and loss of life during earthquakes, especially in areas with high earthquake risk. This planning aims to evaluate the effect of adding shear walls on the structural behavior of a 10-story building in Malang City. Shear walls are generally used to increase structural stiffness and strengthen the structural system in resisting earthquake forces. With the addition of shear walls, better control of inter-story deviations where the value is significantly reduced compared to being designed as a single system. Shear walls or moment-resisting frames must be able to withstand at least 25% of the design earthquake force. Structural analysis is carried out with the ETABS 19 civil engineering assistance program using building technical data, material data, and building design drawings. The analysis includes determining dimensions based on SNI 2847: 2019 and loading and structural control based on SNI 1726: 2019. The results of the structural analysis show that with the addition of shear walls, the structural elements used are more effective and do not reduce the structure's ability to withstand earthquake loads or gravity loads. The planned shear wall has been able to accept more than 50% of the existing earthquake force, this result has met the minimum requirements for the load carried by the shear wall. The resulting drift also does not exceed the permissible drift, although there is a fairly large difference in the drift value. However, the determination of the location of the shear wall must still be adjusted to the needs and adjust the design of the planned building
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".