Experimental assessment of train-induced soil vibration characteristics using Arduino-based accelerometers

AbstractVibration is a significant factor causing structural damage to nearby structures. This study, conducted in Athi River-Nairobi Metropolitan, Kenya in accordance with ISO-14837, focuses on the importance of structural health monitoring and structural audits for existing structures. The instrum...

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Main Authors: Paul Christopher Kimali Kioko, Sylvester Abuodha, John Mwero, Zacharia Kuria
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Cogent Engineering
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2023.2245201
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author Paul Christopher Kimali Kioko
Sylvester Abuodha
John Mwero
Zacharia Kuria
author_facet Paul Christopher Kimali Kioko
Sylvester Abuodha
John Mwero
Zacharia Kuria
author_sort Paul Christopher Kimali Kioko
collection DOAJ
description AbstractVibration is a significant factor causing structural damage to nearby structures. This study, conducted in Athi River-Nairobi Metropolitan, Kenya in accordance with ISO-14837, focuses on the importance of structural health monitoring and structural audits for existing structures. The instrumentation and data acquisition system used in this study comprised triaxial ADXL-345 and MPU 6050 accelerometers, Arduino UNO R3, and I2C protocol communication for data logging. Field measurements were conducted on moving trains, revealing a maximum peak particle velocity of 50.77 mm/s at the rail vibration source, and a minimum of 1.049 mm/s at a distance of 16 m from the rail. According to BS7385–2 (1993), ground-borne vibration becomes damaging at a peak particle velocity of 50 mm/s at 4 Hz, while the Standards Association of Australia (ASCA) prescribes a limiting value of 25 mm/s. The Swiss Association for Standardization recommends a limiting value of 8 mm/sec within the frequency range of 10–60 Hz. The measured vibration values were consistent with established standards for peak particle velocity values for damage and demonstrate the effectiveness of the proposed methodology in assessing and managing ground-borne vibrations. This research emphasizes the importance of early vibration detection through digital technology to mitigate structural damage and as a precondition prior to development approvals.
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spelling doaj.art-36f844df8dbd4946a97f128c1e35285d2024-03-18T10:22:11ZengTaylor & Francis GroupCogent Engineering2331-19162023-12-0110210.1080/23311916.2023.2245201Experimental assessment of train-induced soil vibration characteristics using Arduino-based accelerometersPaul Christopher Kimali Kioko0Sylvester Abuodha1John Mwero2Zacharia Kuria3Department of Civil and Construction Engineering, University of Nairobi, Nairobi, KenyaDepartment of Civil and Construction Engineering, University of Nairobi, Nairobi, KenyaDepartment of Structural and Construction Engineering, Technical University of Kenya, Nairobi, KenyaDepartment of Geology, University of Nairobi, Nairobi, KenyaAbstractVibration is a significant factor causing structural damage to nearby structures. This study, conducted in Athi River-Nairobi Metropolitan, Kenya in accordance with ISO-14837, focuses on the importance of structural health monitoring and structural audits for existing structures. The instrumentation and data acquisition system used in this study comprised triaxial ADXL-345 and MPU 6050 accelerometers, Arduino UNO R3, and I2C protocol communication for data logging. Field measurements were conducted on moving trains, revealing a maximum peak particle velocity of 50.77 mm/s at the rail vibration source, and a minimum of 1.049 mm/s at a distance of 16 m from the rail. According to BS7385–2 (1993), ground-borne vibration becomes damaging at a peak particle velocity of 50 mm/s at 4 Hz, while the Standards Association of Australia (ASCA) prescribes a limiting value of 25 mm/s. The Swiss Association for Standardization recommends a limiting value of 8 mm/sec within the frequency range of 10–60 Hz. The measured vibration values were consistent with established standards for peak particle velocity values for damage and demonstrate the effectiveness of the proposed methodology in assessing and managing ground-borne vibrations. This research emphasizes the importance of early vibration detection through digital technology to mitigate structural damage and as a precondition prior to development approvals.https://www.tandfonline.com/doi/10.1080/23311916.2023.2245201peak particle velocityvibration propagationattenuationaccelerometerArduino UNO R3micro-controller unit
spellingShingle Paul Christopher Kimali Kioko
Sylvester Abuodha
John Mwero
Zacharia Kuria
Experimental assessment of train-induced soil vibration characteristics using Arduino-based accelerometers
Cogent Engineering
peak particle velocity
vibration propagation
attenuation
accelerometer
Arduino UNO R3
micro-controller unit
title Experimental assessment of train-induced soil vibration characteristics using Arduino-based accelerometers
title_full Experimental assessment of train-induced soil vibration characteristics using Arduino-based accelerometers
title_fullStr Experimental assessment of train-induced soil vibration characteristics using Arduino-based accelerometers
title_full_unstemmed Experimental assessment of train-induced soil vibration characteristics using Arduino-based accelerometers
title_short Experimental assessment of train-induced soil vibration characteristics using Arduino-based accelerometers
title_sort experimental assessment of train induced soil vibration characteristics using arduino based accelerometers
topic peak particle velocity
vibration propagation
attenuation
accelerometer
Arduino UNO R3
micro-controller unit
url https://www.tandfonline.com/doi/10.1080/23311916.2023.2245201
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AT sylvesterabuodha experimentalassessmentoftraininducedsoilvibrationcharacteristicsusingarduinobasedaccelerometers
AT johnmwero experimentalassessmentoftraininducedsoilvibrationcharacteristicsusingarduinobasedaccelerometers
AT zachariakuria experimentalassessmentoftraininducedsoilvibrationcharacteristicsusingarduinobasedaccelerometers