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Record W4402320431 · doi:10.58499/jatan.v40i2.1193

STABILISASI LERENG DENGAN APLIKASI SOIL NAILING PADA AREA GALIAN DALAM DAN KEMIRINGAN CURAM

2023· article· id· W4402320431 on OpenAlexaff
Andrew Nugraha Standyarto, Andika Yuda Prayitno, Dedi Prayitno

Bibliographic record

VenueJurnal jalan jembatan · 2023
Typearticle
Languageid
FieldEngineering
TopicGeotechnical and construction materials studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSoil nailingForestryEnvironmental scienceGeologyGeographyGeotechnical engineering

Abstract

fetched live from OpenAlex

Tujuan studi ini adalah untuk mengetahui pengaruh penerapan soil nailing terhadap peningkatan kestabilan dan perkuatan lereng galian pada daerah kemiringan dalam dan lereng curam. Pengamatan dilakukan pada Jalan Tol IKN seksi 3A: Karangjoang - KKT Kariangau, bagian jalan tol yang diletakkan struktur berupa Saluran Udara Tegangan Tinggi (SUTT). Pada lokasi dilakukan penggalian dalam yang menempatkan menara SUTT sejarak 20 m dari lereng trase jalan. Relokasi menara tidak dapat dilakukan dan penanganan lereng harus dirancang untuk mencegah longsoran terjadi. Data kondisi tanah diambil dari lapangan pada 4 titik dengan menggunakan metode boring dan SPT. Analisis data menggunakan program pemodelan Finite Element Analysis (FEA) Plaxis 2D dan soil model Mohr-Coulomb untuk membandingkan dua kondisi, yaitu lereng galian tanpa perkuatan dan dengan konfigurasi perkuatan soil nailing. Dari analisis kestabilan lereng, desain galian 1 di depan SUTT dan desain 2 pada area peralihan memiliki Safety Factor (SF) > izin pada kondisi short term dan gempa pseudostatik namun mengalami kelongsoran pada kondisi long term dan pelapukan batu bara (lignit). Studi ini menunjukkan bahwa aplikasi soil nailing dengan diameter 10 cm, panjang 12 m dan konfigurasi pemasangan vertikal 12D dan horizontal 15D memenuhi SF izin kestabilan lereng sesuai dengan SNI 8460:2017 tentang Persyaratan Perancangan Geoteknik. Kata Kunci: stabilitas lereng, soil nailing, galian dalam, SUTT, pelapukan batubara (lignit)

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.021
GPT teacher head0.227
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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