Tesis de maestría

Prognosis estructural en obras de infraestructura a partir de digital twins

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Abstract

The infrastructure industry plays a vital role in the development of society; however, its significant environmental impact often goes unnoticed. Designing and constructing infrastructure to be robust, effectively managing it, and securing its lifespan are essential strategic tasks. A methodology is presented that integrates structural health monitoring with a novel virtualization of infrastructure systems using LiDAR technology and digital twins—virtual models that replicate a system’s real-world behavior. Digital twins serve as a powerful tool in the prognosis of infrastructure, allowing for a comprehensive evaluation and analysis of infrastructure. Moreover, this digital twin can be created by using readily available automated tools. Results show that digital twins are an accessible and effective solution for smart infrastructure management, enabling informed decision-making and proactive maintenance strategies.

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https://orcid.org/0000-0003-0058-9903

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El usuario tiene la obligación de utilizar los servicios y contenidos proporcionados por la Universidad, en particular, los impresos y recursos electrónicos, de conformidad con la legislación vigente y los principios de buena fe y en general usos aceptados, sin contravenir con su realización el orden público, especialmente, en el caso en que, para el adecuado desempeño de su actividad, necesita reproducir, distribuir, comunicar y/o poner a disposición, fragmentos de obras impresas o susceptibles de estar en formato analógico o digital, ya sea en soporte papel o electrónico. Ley 23/2006, de 7 de julio, por la que se modifica el texto revisado de la Ley de Propiedad Intelectual, aprobado

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