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Detection Of Higher Mode Surface Waves Over Unconsolidated Sediments By The Mx4 Wmethod

2000· article· en· W2320080938 on OpenAlexaboutno aff
Choon Byong Park, Richard D. Miller, Jianghai Xia

Bibliographic record

Venue13th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Waves and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDispersion (optics)OvertonePhase velocityBoreholeSurface waveMode (computer interface)Phase (matter)Energy (signal processing)GeologyPhysicsOpticsGeotechnical engineeringSpectral line

Abstract

fetched live from OpenAlex

In engineering application of surface waves it is critically important to accurately extract the<br>fundamental mode dispersion curve. Among several factors that may adversely affect the<br>extraction is the existence of higher modes with significant amount of energy. A calculated<br>phase velocity can be an average of the fundamental and the higher-modes phase velocities or it<br>can be the phase velocity of a specific higher mode, depending upon the specific method used for<br>the application, unless the higher modes are properly handled during the data acquisition and<br>processing steps. Therefore, it will have a practical value to observe the higher mode generation<br>through field experiments and examine for any parameter that can be controlled during data<br>acquisition.<br>A higher mode (the first overtone) of high frequency (5-30 Hz) surface waves was observed by<br>using the multi-channel analysis of surface waves (MASW) method at three boreholes located in<br>unconsolidated sediments in the Fraser River Delta, near Vancouver, British Columbia. Each<br>site has a unique near-surface shear (S)-wave velocity (Vs) structure as verified from downhole<br>Ys measurements. The relative dominance of higher mode energy is examined in association<br>with source distance as well as Ys structure. Our examination indicates that energy of higher<br>modes tends to become more significant as the source distance becomes greater. It also reveals<br>that the dominance may be related to a Vs structure: a greater dominance as fi changes little<br>with depth, or fi has an overall low value, or a combination. The dependency on the source distance<br>is observed to be stronger than that on the Vs structure. Attempts are made to explain the<br>dependency by referring to one or a combination of three factors: attenuation, the near-field<br>effects, and the intrinsic nature of surface waves. Inclusion of higher mode during a surface<br>wave measurement for near-surface (~30 m) application can be either an advantage or a-disadvantage,<br>depending on the specific type of application and the method used during the data<br>acquisition and processing steps. It is, therefore, important to recognize through field<br>observations those conditions both favorable and unfavorable to the generation of higher modes<br>of high-frequency surface waves.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.321

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.177
Teacher spread0.173 · 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
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

Citations2
Published2000
Admission routes1
Has abstractyes

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