MARC details
| 000 -LEADER |
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| fixed length control field |
03046nam a22003257a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250703093058.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250703b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
TUPM |
| Language of cataloging |
English |
| Transcribing agency |
TUPM |
| Modifying agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
BTH TA 145 |
| Item number |
B84 2024 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Buenaventura, Brix N. |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
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| Title |
Vibration monitoring analysis of tup – coe building: |
| Remainder of title |
correlating raspberry shake 4d sensors with finite element modeling for structural health assessment using machine learning/ |
| Statement of responsibility, etc. |
Brix N. Buenaventura, Joshua Ryan G. Ferrer, Isabel A. Marcelino, Joshua R. Mayo, and Desiree G. Robiso.-- |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
Manila: |
| Name of publisher, distributor, etc. |
Technological University of the Philippines, |
| Date of publication, distribution, etc. |
2024. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x,177pages: |
| Dimensions |
29cm. |
| 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, |
| Year degree granted |
2024. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographic references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
The increasing frequency of seismic events underscores the need for advancements<br/>in Structural Health Monitoring (SHM), especially in regions like the Philippines, where<br/>complex seismic activities pose significant challenges for the development of real-time,<br/>cost-effective monitoring systems. This study explores the use of Raspberry Shake 4D<br/>(RS4D) sensors to promote efficient and affordable SHM in the College of Engineering<br/>Building at the Technological University of the Philippines. Using vibration analysis and<br/>Finite Element Modeling (FEM), the research theoretically examines the building's<br/>structural response. The acceleration data from the RS4D sensor were processed using the<br/>Savitzky-Golay filter and Fast Fourier Transform (FFT) to assess the building's dynamic<br/>properties, including its period and frequency. The natural frequencies at the peak<br/>amplitude of the event were found to be approximately 1.1 Hz, 1.3 Hz, and 1.6 Hz,<br/>corresponding to periods of 0.909 s, 0.769 s, and 0.625 s, respectively. The acceleration<br/>values generated for the fifth floor using FEM and the actual fifth-floor sensor data were<br/>0.333 in/sec2 and 0.324 in/sec2, respectively. In addition to monitoring structural health,<br/>the study also explores the potential for these sensors to detect subtle vibrations and<br/>motions, thus contributing to activity monitoring and occupancy detection. The integration<br/>of modern technologies with traditional engineering approaches is emphasized. This<br/>research validates RS4D sensors as a reliable tool for SHM and explores their potential for<br/>innovative applications in activity monitoring, enhanced through the integration of<br/>machine learning techniques. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Raspberryshake |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Savitzky-golay |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning techniques |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Ferrer, Joshua Ryan G. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Marcelino, Isabel A. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mayo, Joshua R. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Robiso, Desiree G. |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis COE |
| Suppress in OPAC |
No |