TY - GEN
T1 - Implementation of a Low-Cost Structural Health Monitoring System for Bridges in Peru
AU - Ita, Rocio I.
AU - Casas, Joan R.
AU - Delgadillo, Rick M.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - Structural health is important especially in older bridges that were designed without earthquake resistant design. Therefore, it is proposed to use wireless accelerometers with environmental temperature and humidity sensors, using a total of 6 Arduino Due sensors distributed along the bridge segments. In addition, Raspberry Pi boards linked to a laptop are implemented to facilitate monitoring of the structure. Also, a modal analysis was carried out to obtain the frequencies, the first and second modes of vibrating correspond to frequencies of f_1 = 1.15 Hertz and f_2 = 1.55 Hertz, and with a damping of 5% that helps to choose the location of the sensors. This approach provides valuable information about the health of the bridge, allowing early detection of potential problems or anomalies. On the other hand, the prices of a used sensor are compared with a commercial sensor. It is shown that choosing low-cost accelerometers instead of commercial sensors can significantly reduce costs, saving between 59 and 83%. This optimization not only seeks efficiency in structural monitoring, but also more economical and effective management of bridge infrastructure. The research comprehensively addresses the implementation of a structural monitoring system, from the selection of sensors to the strategic location on the bridge, underscoring the importance of economic efficiency in the management of the structural health of bridges in Peru.
AB - Structural health is important especially in older bridges that were designed without earthquake resistant design. Therefore, it is proposed to use wireless accelerometers with environmental temperature and humidity sensors, using a total of 6 Arduino Due sensors distributed along the bridge segments. In addition, Raspberry Pi boards linked to a laptop are implemented to facilitate monitoring of the structure. Also, a modal analysis was carried out to obtain the frequencies, the first and second modes of vibrating correspond to frequencies of f_1 = 1.15 Hertz and f_2 = 1.55 Hertz, and with a damping of 5% that helps to choose the location of the sensors. This approach provides valuable information about the health of the bridge, allowing early detection of potential problems or anomalies. On the other hand, the prices of a used sensor are compared with a commercial sensor. It is shown that choosing low-cost accelerometers instead of commercial sensors can significantly reduce costs, saving between 59 and 83%. This optimization not only seeks efficiency in structural monitoring, but also more economical and effective management of bridge infrastructure. The research comprehensively addresses the implementation of a structural monitoring system, from the selection of sensors to the strategic location on the bridge, underscoring the importance of economic efficiency in the management of the structural health of bridges in Peru.
KW - Low-cost monitoring
KW - Modal shape
KW - Sensor sensitivity
KW - Structural health monitoring (SHM)
KW - Vibration frequencies
UR - https://www.scopus.com/pages/publications/105001337698
U2 - 10.1007/978-981-96-1574-2_2
DO - 10.1007/978-981-96-1574-2_2
M3 - Contribución a la conferencia
AN - SCOPUS:105001337698
SN - 9789819615735
T3 - Lecture Notes in Civil Engineering
SP - 17
EP - 24
BT - Proceedings of the 9th International Conference on Civil Engineering and Materials Science - ICCEMS 2024
A2 - Li, Zongjin
A2 - Mendonça, Paulo
PB - Springer Science and Business Media Deutschland GmbH
T2 - 9th International Conference on Civil Engineering and Materials Science, ICCEMS 2024
Y2 - 3 July 2024 through 5 July 2024
ER -