MétaCan
Menu
Back to cohort
Record W4213180546 · doi:10.1155/2022/6822689

Dynamic Windage Yaw Angle and Dynamic Wind Load Factor of a Suspension Insulator String

2022· article· en· W4213180546 on OpenAlexaff
Shuang Zhao, Jiahao Yue, Eric Savory, Zhitao Yan, Jiahao Chen, Bin Zhang, Liuliu Peng

Bibliographic record

VenueShock and Vibration · 2022
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsWestern University
FundersChongqing University of Science and TechnologyChongqing Municipal Education CommissionChongqing UniversityNational Natural Science Foundation of China
KeywordsWindageSuspension (topology)String (physics)Wind engineeringDynamic load testingControl theory (sociology)EngineeringStructural engineeringComputer sciencePhysicsMechanical engineeringMathematics

Abstract

fetched live from OpenAlex

A simplified calculation method is proposed for determining the peak dynamic windage yaw angle <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mfenced open="(" close=")" separators="|"> <a:mrow> <a:mover accent="true"> <a:mi>φ</a:mi> <a:mo>^</a:mo> </a:mover> </a:mrow> </a:mfenced> </a:math> of electricity transmission line (TL) tower suspension insulator strings (SISs). According to the rigid-body rule, the geometric stiffness matrix in the calculation of the windage yaw angle <g:math xmlns:g="http://www.w3.org/1998/Math/MathML" id="M2"> <g:mfenced open="(" close=")" separators="|"> <g:mrow> <g:mi>φ</g:mi> </g:mrow> </g:mfenced> </g:math> of SISs is dominated by the average wind loads, while the fluctuating wind loads are the dominant factor in the elastic stiffness. With the average wind state of conductors as the initial calculation condition, the load-response-correlation (LRC) method can be used to determine the fluctuating windage yaw angle <l:math xmlns:l="http://www.w3.org/1998/Math/MathML" id="M3"> <l:mfenced open="(" close=")" separators="|"> <l:mrow> <l:msub> <l:mrow> <l:mi>φ</l:mi> </l:mrow> <l:mrow> <l:mi>d</l:mi> </l:mrow> </l:msub> </l:mrow> </l:mfenced> </l:math> and the corresponding equivalent static wind loads (ESWLs). Then, the improved rigid straight rod model, which uses the actual length of conductors rather than the projected length, was used to determine the average windage yaw angle <q:math xmlns:q="http://www.w3.org/1998/Math/MathML" id="M4"> <q:mover accent="true"> <q:mi>φ</q:mi> <q:mo>¯</q:mo> </q:mover> </q:math> . Through the linear superposition of the horizontal increments of <t:math xmlns:t="http://www.w3.org/1998/Math/MathML" id="M5"> <t:mover accent="true"> <t:mi>φ</t:mi> <t:mo>¯</t:mo> </t:mover> </t:math> and <w:math xmlns:w="http://www.w3.org/1998/Math/MathML" id="M6"> <w:msub> <w:mrow> <w:mover accent="true"> <w:mi>φ</w:mi> <w:mo>^</w:mo> </w:mover> </w:mrow> <w:mrow> <w:mi>d</w:mi> </w:mrow> </w:msub> </w:math> (the peak value of <z:math xmlns:z="http://www.w3.org/1998/Math/MathML" id="M7"> <z:msub> <z:mrow> <z:mi>φ</z:mi> </z:mrow> <z:mrow> <z:mi>d</z:mi> </z:mrow> </z:msub> </z:math> ), the formulae to calculate the <bb:math xmlns:bb="http://www.w3.org/1998/Math/MathML" id="M8"> <bb:mover accent="true"> <bb:mi>φ</bb:mi> <bb:mo>^</bb:mo> </bb:mover> </bb:math> of SISs were derived. Additionally, the formulae for the dynamic wind load factor, <eb:math xmlns:eb="http://www.w3.org/1998/Math/MathML" id="M9"> <eb:msub> <eb:mrow> <eb:mi>β</eb:mi> </eb:mrow> <eb:mrow> <eb:mi>c</eb:mi> </eb:mrow> </eb:msub> </eb:math> , which is a key factor in designing wind loads for <gb:math xmlns:gb="http://www.w3.org/1998/Math/MathML" id="M10"> <gb:mi>φ</gb:mi> </gb:math> , were derived according to the principle of ESWLs, rather than being empirically determined by the Chinese code. Thus, the calculation model regarding the loads and response for the <ib:math xmlns:ib="http://www.w3.org/1998/Math/MathML" id="M11"> <ib:mi>φ</ib:mi> </ib:math> of SISs was established, and an actual TL was used to verify the established calculation model. Afterward, the influence of the different engineering design parameters on <kb:math xmlns:kb="http://www.w3.org/1998/Math/MathML" id="M12"> <kb:mi>φ</kb:mi> </kb:math> and its <mb:math xmlns:mb="http://www.w3.org/1998/Math/MathML" id="M13"> <mb:msub> <mb:mrow> <mb:mi>β</mb:mi> </mb:mrow> <mb:mrow> <mb:mi>c</mb:mi> </mb:mrow> </mb:msub> </mb:math> were analyzed. The parameter analyses show that the wind speed, span, and ground roughness influence the magnitudes of <ob:math xmlns:ob="http://www.w3.org/1998/Math/MathML" id="M14"> <ob:mover accent="true"> <ob:mi>φ</ob:mi> <ob:mo>^</ob:mo> </ob:mover> </ob:math> and <rb:math xmlns:rb="http://www.w3.org/1998/Math/MathML" id="M15"> <rb:msub> <rb:mrow> <rb:mi>β</rb:mi> </rb:mrow> <rb:mrow> <rb:mi>c</rb:mi> </rb:mrow> </rb:msub> </rb:math> , however, the height difference between the two suspension points of the conductors, the nominal height, and the sag-to-span ratio may be neglected in the approximate calculation. Our method offers a new solution to TL design when there are large deformations and small strains.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.479

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 head0.006
GPT teacher head0.207
Teacher spread0.201 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueShock and VibrationSame topicVibration and Dynamic AnalysisFrench-language works237,207