Installation methods for ground motion sensors in community-engaged earthquake early warning system
DOI:
https://doi.org/10.5459/bnzsee.1708Abstract
This research investigates installation methods for ground motion accelerometers within a community-engaged Earthquake Early Warning (EEW) network, where untrained volunteers install sensors in their homes. Four installation methods were evaluated on plush wool-type carpets using a two-dimensional horizontal axis shake table with sinusoidal waveforms within the expected frequency range of earthquake ground motions and real-world earthquake acceleration data from historical events. The performance of these methods in accurately capturing key characteristics of ground motions was assessed through statistical and frequency analysis relative to a reference accelerometer fixed to the shake table. The initial findings with two-dimensional horizontal shake table testing indicate that both the loosely placed sensor and the anti-slip sticker method provide effective solutions, with the loosely placed sensor offering optimal accuracy and ease of installation and the anti-slip sticker method providing greater stability. The study highlights the need for future research to explore additional installation methods and floor types using three-dimensional shake tables to enhance broader applicability.
References
Prasanna R, Chandrakumar C, Nandana R, Holden C, Punchihewa A, Becker JS, Jeong S, Liyanage N, Ravishan D, Sampath R and Tan ML (2022). “Saving precious seconds—A novel approach to implementing a low-cost earthquake early warning system with node-level detection and alert generation”. Informatics, 9(1): 25. https://doi.org/10.3390/informatics9010025 DOI: https://doi.org/10.3390/informatics9010025
Goulet CA, Kishida T, Ancheta TD, Cramer CH, Darragh RB, Silva WJ, Hashash YMA, Harmon J, Parker GA, Stewart JP and Youngs RR (2021). “PEER NGA-East database”. Earthquake Spectra, 37(1_suppl). https://doi.org/10.1177/87552930211015695 DOI: https://doi.org/10.1177/87552930211015695