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Record W4387541926 · doi:10.5614/jts.2023.30.2.7

Evaluasi Nilai Faktor Performa Struktur Modular Komposit dengan Dinding Internal Pelat Baja Bergelombang

2023· article· id· W4387541926 on OpenAlexaff
Patria Kusumaningrum, Pramudya Tri Nanda

Bibliographic record

VenueJurnal Teknik Sipil · 2023
Typearticle
Languageid
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsModular designStructural engineeringHumanitiesMathematicsEngineeringComputer scienceOperating systemArt

Abstract

fetched live from OpenAlex

Abstrak Struktur modular merupakan struktur yang terdiri dari modul-modul penyusun yang diprefabrikasi di pabrik dan dirakit di lokasi konstruksi secara efektif dapat mengurangi durasi konstruksi, meningkatkan kualitas pengerjaan dan optimasi sumber daya. Penggunaan struktur modular komposit dapat menjadi solusi dari keterbatasan terhadap struktur modular baja dan struktur modular beton. Tetapi pemanfaatan struktur modular masih terbatas karena belum tercantum di dalam peraturan desain nasional, dan kurangnya pengetahuan akan karakteristik dan respon struktur modular terhadap beban gempa. Dua konfigurasi struktur modular komposit yaitu struktur modular komposit open frame dan struktur modular komposit infilled wall dikaji dalam penelitian ini. Studi ini bertujuan untuk mengevaluasi perilaku seismik konfigurasi struktur modular komposit yang telah disebutkan di atas. Faktor performa struktur (daktilitas, faktor kuat lebih, dan faktor modifikasi respon), parameter kinerja seismik struktur dan pola keruntuhan berdasarkan hirarki pembentukan sendi plastis dengan analisis nonlinear statik pushover dikaji dalam penelitian ini untuk meninjau respon struktur secara global. Kata-kata Kunci: Struktur modular komposit, open frame, infilled wall, analisis nonlinear statik pushover, kurva kapasitas, faktor performa, daktilitas, kuat lebih, faktor modifikasi respons, kinerja seismik dan pola keruntuhan. Abstract Modular structure is a structure comprising of prefabricated modules manufactured in the factory and assembled on the construction site which can be effectively reducing construction duration, improving workmanship quality and optimizing resources. Composite modular structure may be one of solution to eliminate limitation arise from steel modular and concrete modular structures However, the use of modular structures is limited because no design codes are available, and the lack of knowledge of the characteristics and response of modular structures subjected to earthquake. Two configurations of the composite modular structure, namely the open frame and the infilled wall composite modular structures are studied. This study aims to evaluate the seismic behavior of the above-mentioned composite modular structure configurations. Structural performance factors (ductility, overstrength factor, and response modification factor), structural seismic performance parameters and failure patterns based on the plastic hinge formation hierarchy with nonlinear static pushover analysis were studied in this study to review the structural response globally. Keywords: Composite modular structure, ppen frame, infilled wall, nonlinear static pushover analysis, capacity curve, performance factor, hinge failure pattern.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.028
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0280.004

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 head0.014
GPT teacher head0.237
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2023
Admission routes1
Has abstractyes

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