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http://hdl.handle.net/11531/100523
Título : | A low frequency seismic triboelectric energy nano-generator used in slow and higher ground motion |
Autor : | Sánchez Del Río Sáez, José Vázquez López, Antonio Ballesteros Iglesias, María Yolanda Martínez, Vanesa Jiménez Sánchez, José Luís Ao, Xiang Wang, De-Yi |
Fecha de publicación : | 1-sep-2025 |
Resumen : | Today sees a need for low-cost detectors able to measure slow ground motion in a broad range of low frequencies. In this sense, the use of triboelectric nanogenerators (TENGS) has been recently suggested, motivated by their low cost and simple design. In this work the use of a a TENG for low-frequency detection is explored. This system is based on low-cost polydimethylsiloxane (PDMS)polyvinyl acetate (PVA) self-power triboelectric energy nanogenerator modified single wall carbon nanohorns (SWCNHs). Minimum traction and compression forces of 35 N at minimum velocities of 10 mmmin for elongations up to 4 mm could be detected, without any limit regarding the duration of the excitation signals generated. Relative motion of this system and its parts related to the ground was studied and allowed determining its displacement, velocity and acceleration by following the force damped oscillation model. The effect of electrical induction when inertial mass was either moving to or away from the TENG could be detected, even before contact. A high agreement of the TENG signals generated for frequencies lower than 5 Hz with the external excitation frequency was achieved, corroborating the goodness of the SLOW-SEISTENG when measuring low frequency signals. Lastly, an application as a remote alarm sensor operating with LoRA and Wi-Fi protocols was designed meaning that SLOW-SEISTENG could work as an Early Detection Alarm System (EDAS). |
Descripción : | Artículos en revistas |
URI : | https:doi.org10.1016j.rineng.2025.105845 http://hdl.handle.net/11531/100523 |
ISSN : | 2590-1230 |
Aparece en las colecciones: | Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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IIT-25-198R | 26,25 MB | Unknown | Visualizar/Abrir | |
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