Estado del arte sobre métodos de monitoreo de salud estructural

Vista sencilla de ítem
dc.contributor.advisorMena Serna, Milton
dc.contributor.authorHende Barajas, Santiago Andrés
dc.date.accessioned2025-05-27T18:10:47Z
dc.date.available2025-05-27T18:10:47Z
dc.date.created2025-05-14
dc.descriptionEl monitoreo de la salud estructural (SHM) se ha vuelto una herramienta esencial en la ingeniería civil para garantizar la seguridad y el desempeño de las infraestructuras, especialmente ante el envejecimiento de las estructuras y la ocurrencia de eventos extremos como terremotos o huracanes. El tema central de este trabajo es analizar y clasificar los métodos de SHM más adecuados según las características de las estructuras, abordando tanto técnicas tradicionales como innovaciones recientes como sensores inalámbricos e inteligencia artificial. La justificación de este estudio radica en la creciente complejidad y antigüedad de las infraestructuras civiles, lo que exige sistemas de monitoreo eficientes que permitan detectar daños y planificar mantenimientos adecuados. Además, el trabajo busca proporcionar a ingenieros, tecnólogos y responsables de políticas un marco comprensivo para tomar decisiones informadas sobre la implementación de sistemas SHM, optimizando recursos y mejorando la seguridad pública.
dc.description.abstractStructural health monitoring (SHM) has become an essential tool in civil engineering to ensure the safety and performance of infrastructure, especially in the face of aging structures and the occurrence of extreme events such as earthquakes or hurricanes. The central theme of this work is to analyze and classify the most appropriate SHM methods according to structural characteristics, addressing both traditional techniques and recent innovations such as wireless sensors and artificial intelligence. The justification for this study lies in the increasing complexity and age of civil infrastructure, which requires efficient monitoring systems that can detect damage and plan appropriate maintenance. Furthermore, the work seeks to provide engineers, technologists, and policymakers with a comprehensive framework for making informed decisions about the implementation of SHM systems, optimizing resources and improving public safety.
dc.format.mimetypepdf
dc.identifier.urihttp://hdl.handle.net/11349/95726
dc.language.isospa
dc.publisherUniversidad Distrital Francisco José de Caldas
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dc.rights.accesoAbierto (Texto Completo)
dc.rights.accessrightsOpenAccess
dc.subjectMonitoreo de salud estructural
dc.subjectNanomateriales de carbono
dc.subjectInteligencia artificial
dc.subjectAprendizaje automatico
dc.subjectIngeniería civil
dc.subject.keywordStructural health monitoring
dc.subject.keywordCarbon nanomaterials
dc.subject.keywordArtificial intelligence
dc.subject.keywordMachine learning
dc.subject.keywordCivil Engineering
dc.subject.lembTecnología en Construcciones Civiles -- Tesis y disertaciones académicas
dc.subject.lembIngeniería civil -- Estructuras
dc.subject.lembSensores remotos
dc.subject.lembInteligencia artificial
dc.titleEstado del arte sobre métodos de monitoreo de salud estructural
dc.title.titleenglishState of the art on structural health monitoring methods
dc.typebachelorThesis
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.type.degreeMonografía
dc.type.driverinfo:eu-repo/semantics/bachelorThesis

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