Instrumentación virtual de bajo costo aplicada a equipos de consolidación unidimensional de suelos
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Resumen
Se instrumentan tres consolidómetros unidimensionales de suelos con un sistema virtual de bajo costo basado en sensores LVDT, Arduino y LabVIEW con el objetivo de reacondicionar equipos convencionales y automatizar la adquisición de datos. Además, se desarrolla una interfaz gráfica que permite registrar en tiempo real la deformación del suelo para mejorar la precisión mediante lecturas en intervalos cortos y reducir la intervención del operador. Las pruebas comparativas con equipos tradicionales validaron la eficacia del sistema. Se concluye que esta instrumentación representa una alternativa económica, precisa y funcional frente a los equipos comerciales de alto costo.
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MARTÍNEZ ROJAS, Alondra; PASTOR GÓMEZ, Nelio; CHÁVEZ NEGRETE, Carlos.
Instrumentación virtual de bajo costo aplicada a equipos de consolidación unidimensional de suelos.
CIENCIA ergo-sum, [S.l.], v. 33, ago. 2026.
ISSN 2395-8782.
Disponible en: <https://cienciaergosum.uaemex.mx/article/view/23818>. Fecha de acceso: 05 sep. 2026
doi: https://doi.org/10.30878/ces.v33n0a51.
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Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial-SinObrasDerivadas 4.0.
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Das, B. M. (2017). Shallow foundations: Bearing Capacity and Settlement. CRC press.
Goldberg, H. (2000). What is virtual instrumentation? IEEE Instrumentation & Measurement Magazine, 3(4), 10-13. https://doi.org/10.1109/5289.887453
Head, K. H. (1992). Manual of soil laboratory testing: Soil classification and compaction tests. Volume 1 (2nd ed.). Pentech Press.
Head, K. H., & Epps, R. J. (2011). Manual of soil laboratory testing: Permeability, shear strength and compressibility tests. Volume 2 (3rd ed.). United Kingdom: Whittles Publishing.
Holtz, R. D., & Kovacs, W. D. (1981). An introduction to geotechnical engineering. Englewood Cliffs: Prentice-Hall.
Honeywell. (2009). Model S3C DC-DC. Miniature Displacement Transducer. Golden Valley: Honeywell.
Isah, B. W., & Mohamad, H. (2021). Surface-mounted bare and packaged fiber Bragg grating sensors for measuring rock strain in uniaxial testing. Sensors, 21(9), 2926. https://doi.org/10.3390/s21092926
Jastrzebska, M. (2021). Modern displacement measuring systems used in geotechnical laboratories: Advantages and disadvantages. Sensors, 21(12), 4139. https://doi.org/10.3390/s21124139
Jerome, J. (2010). Virtual instrumentation using LabVIEW. PHI Learning Pvt. Ltd. New Delhi.
Karimpour-Fard, M., Zarbakhash, S., Rezaie Soufi, G., Ahadi, A., & Naveen, B. P. (2020). Design, fabrication and calibration of a tall pneumatic oedometer apparatus. Measurement, 163, 107985. https://doi.org/10.1016/j.measurement.2020.107985
Motahhir, S., Chalh, A., El Ghzizal, A., Sebti, S., & Derouich, A. (2017). Modeling of photovoltaic panel by using proteus. Journal of Engineering Science and Technology Review, 10, 8-13. https://doi.org/10.25103/jestr.102.02
Nurkowski, J., & Nowakowski, A. (2023). Inductive sensor for measuring linear displacement and velocity - Version with stationary magnetic core. Measurement, 222, 113675. https://doi.org/10.1016/j.measurement.2023.113675
Obrenovic, Ž., Starcevic, D., & Jovanov, E. (2006). Virtual Instrumentation. In M. Akay (Ed.), Wiley Encyclopedia of Biomedical Engineerin. Wiley Online Library. https://doi.org/10.1002/9780471740360.ebs1265
Saravanakumar, G., Wahidabanu, R. S. D., & Nayak, C. G. (2009). Performance analysis of various Smith predictors for integrating processes with longer dead-time. International Journal of Automation and Control, 3(2-3), 248-263. https://doi.org/10.1504/IJAAC.2009.025245
Zetina, A., & Zetina, A. (1999). Electrónica básica. México: Limusa Noriega Editores.
http://orcid.org/0009-0006-5373-363X