MARC details
| 000 -LEADER |
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| fixed length control field |
03112nam a22003137a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250424145226.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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250424b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
TUPM |
| Language of cataloging |
TUPM |
| Transcribing agency |
TUPM |
| Modifying agency |
English |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
BTH TA 145 |
| Item number |
A43 2024 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Albo, Janelle Ann C. |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
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| Title |
Vibration Analysis Of College Of Engineering (Coe) Building At The Technological University Of The Philippines – Manila Using Raspberry Shake 4d And Artificial Neural Network/ |
| Statement of responsibility, etc. |
Janelle Ann C. Albo, Jonna P. Coronacion, Mark Aldrin I. Gutierrez, Liezel B. Nuñez and Lea Jelizabeth T. Pico.-- |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
Technological University of the Philippines, Manila. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xv, 173 pages. |
| Dimensions |
29 cm |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
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| General note |
Bachelor's thesis |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
College of Engineering.-- |
| Degree type |
Bachelor of Science in Civil Engineering: |
| Name of granting institution |
Technological University of the Philippines, Manila. |
| Year degree granted |
2024 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographic references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
The Structural Health Monitoring (SHM) systems have become essential<br/>instruments in the field of civil engineering, significantly improving the efficiency,<br/>safety, and dependability of structures. With the use of sensors, it would be possible to<br/>continuously monitor the structural integrity of buildings and systems throughout the<br/>duration of their service life. This would enable early detection of structural damage<br/>based on predicted structural responses. The study would involve gathering and analyzing<br/>seismic data from Raspberry Shake 4D (RS4D) to comprehend the College of<br/>Engineering (COE) Building's dynamic behavior, training machine learning models to<br/>predict acceleration response of the fifth-floor sensor and detect structural vulnerabilities<br/>and validating the methodology through comparative analysis with traditional structural<br/>assessment methods. The theoretical period obtained from FEM was 0.8560 seconds on<br/>mode 1 on 1.168 hertz with 74.42% of mass participation factor while the actual period<br/>of the COE building falls under mode 3 which on 0.6250 seconds on 1.60 hertz with 3.00<br/>% mass participation factor based on the Ansys Software. This means that with March to<br/>May,seismic activity does not excite the building for it is not close to the resonance period<br/>of COE. Machine learning algorithm percentage of accuracy falls on 88.02% after<br/>simulation and having an overall R-value= 0.82297. This indicates that the model created<br/>in Machine Learning performs strong positive correlation from the predicted to the actual<br/>response and it can be said working well and ready for future usage. The study would<br/>improve the structural resilience and safety measures of COE Building for future<br/>infrastructure assessments and risk mitigation. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Civil Engineering |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Structural Health Monitoring |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Coronacion, Jonna P. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Gutierrez, Mark Aldrin I. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Nuñez, Liezel B. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Pico, Lea Jelizabeth T. |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis COE |
| Suppress in OPAC |
No |