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Record W4401192437 · doi:10.11113/mjce.v24.15830

SEISMIC BEHAVIOUR OF 4-LEGGED SELF-SUPPORTING TELECOMMUNICATION TOWERS CONSIDERING EARTHQUAKE EFFECTS IN MALAYSIA

2018· article· en· W4401192437 on OpenAlexfundno aff
Zawiyah Abdul Razak, Arham Abdullah, Azlan Adnan, Behzad Bayat, Mohammad Reza Vafaei, Zubair Khalil

Bibliographic record

VenueMalaysian Journal of Civil Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
FundersNational Institute of Standards and TechnologyTelekom Malaysia BerhadUniversity of Illinois at Urbana-ChampaignMcGill University
KeywordsTelecommunicationsSeismologyEngineeringGeology

Abstract

fetched live from OpenAlex

Malaysia’s strategic location has spared it from major seismic activities. Nevertheless, plethora of far field tremors resulting from earthquakes in neighboring countries can be felt locally despite the fact that the epicenters of these earthquakes are mostly hundreds of kilometers away. With increasing frequency and intensity of late, this scenario has raised a major concern pertaining to the ability of the existing buildings and sensitive structures in the country to withstand earthquakes events in the future. Considering that no specific study has been contemplated with particular regards to the effect of earthquakes to telecommunications facilities in Malaysia, it is requisitely of prime significance to commence this study. The main objective of the study is to determine the seismic behavior and then evaluate the structural integrity of the existing telecommunication tower structures considering earthquake effects in Malaysia. The study covers the analysis of the four (4) legged self supporting steel telecommunication towers based on different types of seismic zones, peak ground accelerations (PGAs), and soils, using the SAP2000 finite element software, model development with reference to the International Building Code (IBC2000) and Euro Standards (EC8). Among the main components of the study are; data analysis, site visits, model development, analysis and structural evaluation. Linear static analysis involving joints displacement and base shear reactions with axial forces analysis are being carried out. In the end, the study has able to determine the seismic behavior experienced by the modeled towers on the differing type’s conditions exposed on them. With the results it will enable the researcher to further proceed with the study including developing a complete maintenance assessment system which also includes the justification/determination of the types of damages inflicted to the towers as well as the severity of the damages.

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 categoriesMeta-epidemiology (narrow)
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 score0.115
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.005
GPT teacher head0.210
Teacher spread0.205 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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