MétaCan
Menu
Back to cohort
Record W4401231622 · doi:10.1007/978-981-97-2417-8_4

Integrate the Methods of Linear Full Resonance with Quarter-Wavelength into Strong Motion Synthesis

2024· book-chapter· en· W4401231622 on OpenAlexaboutno aff
Zhiguo Tao, Shiyao Liu, Zhaoyue Zhang, Xiaxin Tao

Bibliographic record

VenueLecture notes in civil engineering · 2024
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Waves and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBoreholeWavelengthNonlinear systemBenchmark (surveying)Quarter (Canadian coin)Resonance (particle physics)Motion (physics)GeologyEngineeringSeismologyPhysicsGeographyOpticsGeotechnical engineeringGeodesyArchaeologyAtomic physicsClassical mechanics

Abstract

fetched live from OpenAlex

Abstract The local site condition plays a crucial role in the study of strong ground motion, and much effort has been expended. The most common theoretical methods are linear full resonance (FR), quarter-wavelength (QWL), equivalent linear and nonlinear. We compare the site response from these two methods and the combination of them for the mainshock of the 2016 Kumamoto earthquake. The surface-borehole recordings at a far-field station FKOH01 and a near-fault station KMMH03 are selected as benchmark. Horizontal ground motions at these two borehole stations are simulated. The site effect is evaluated by three methods of FR, QWL and the combination QWL × FR. At FKOH01, PGAs from QWL × FR are larger than those from QWL and FR; at KMMH03, PGAs from QWL are larger than those from QWL × FR, and the latter are close to those from FR. A similar trend is observed in the comparison of response spectra. Compared with the records, QWL × FR can be adopted to evaluate the site response.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.010
GPT teacher head0.220
Teacher spread0.209 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueLecture notes in civil engineeringSame topicSeismic Waves and AnalysisFrench-language works237,207