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

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dc.contributor.author Kioko, Paul C.
dc.contributor.author Abuodha, Sylvester
dc.contributor.author Mwero, John
dc.contributor.author Kuria, Zacharia
dc.date.accessioned 2023-10-04T08:20:00Z
dc.date.available 2023-10-04T08:20:00Z
dc.date.issued 2023-09
dc.identifier.citation Cogent Engineering, Volume 10, Issue 2 en_US
dc.identifier.issn 2331-1916
dc.identifier.uri https://www.tandfonline.com/doi/full/10.1080/23311916.2023.2245201
dc.identifier.uri http://repository.seku.ac.ke/handle/123456789/7314
dc.description DOI: https://doi.org/10.1080/23311916.2023.2245201Page 2 of 69 en_US
dc.description.abstract Vibration 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. en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis Group en_US
dc.subject peak particle velocity en_US
dc.subject vibration propagation en_US
dc.subject attenuation en_US
dc.subject accelerometer en_US
dc.subject Arduino UNO R3 en_US
dc.subject micro-controller unit en_US
dc.subject fast Fourier transform en_US
dc.title Experimental assessment of train-induced soil vibration characteristics using Arduino-based accelerometers en_US
dc.type Article en_US


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