ResumenUna extensa red de puentes de gran antigüedad es parte esencial del desarrollo económico de una nación, por lo que se requiere de una minuciosa evaluación estructural para establecer su reforzamiento o recomendar su reemplazo a causa de la inviabilidad de dicho reforzamiento. Entre las dificultades que debe enfrentar el Ingeniero Estructural a cargo de dicha decisión, está la limitada información disponible que obliga a la implementación de ensayos destructivos de inspección con alta demanda de tiempo y recursos técnicos y humanos. Se propone un análisis basado en monitoreo dinámico no destructivo de los puentes de fácil implementación para conocer la condición estructural a un nivel global y local. Este trabajo muestra que el monitoreo basado en un modelo no-lineal tiene el potencial de detectar daño en estructuras más allá del alcance del modelo lineal comúnmente usado en la literatura presente. Este trabajo presenta un resumen de estudios de vibraciones en diversos puentes así como particularidades que debe conocer el ingeniero estructural para una adecuada interpretación de los resultados.Palabras clave: Monitoreo dinámico; acelerómetros; vibraciones en puentes; calibración de modelos matemáticos; vibración no-lineal elástica. AbstractA large infrastructure system of bridges is essential to economical development of a country. Given such importance, a detailed structural inspection and evaluation is required in order to decide whether the bridges may be reinforced or retrofitted to extend their service life or whether they should be replaced by new structures. The structural engineer in charge of such decisions must face the limited amount of information of old structures which leads to implementation of time-expensive destructive methods in order to obtain basic information about the structure. A dynamic monitoring combined with a non-linear modeling is proposed to enable structural identification and damage detection, beyond the scope of traditional linearmodel methods commonly used and available in the literature. This work presents several case studies on vibration records used in bridges and also specific topics that the structural engineer need to know for a good interpretation of results.

With the growth of the urban population, the urban mobility infrastructure suffers several types of problems, such as the more significant occurrence of traffic jams, which directly affects the quality of life of the population and the inhabitants who need to use different types of transport, also generating a more extraordinary occurrence of air pollution emitted by vehicles. This work addresses the need to integrate the generation of hybrid multimodal routes through the analysis of geographic data collected from location-based social networks, adding the calculation of greenhouse gas emissions by used vehicles. Further, performs a user experience analysis for the main identified flows of the analyzed urban environment, for users and urban planners analysis. The proposed algorithm proves its efficiency by offering less expensive, healthier trips for the population.

Smart urban mobility emerged from the urban citizen’s need for a fast urbanization environment, using personal devices and city infrastructure integration, data generation, and mobility services provided on congested and possibly dangerous urban roads. However, traditional routing services need to consider users’ experience, comfort and health because they usually choose only routes with the shortest paths or less traffic. This work proposes a route selection method based on a personalized preference for different user profiles, and essential geolocated factors from data collection, including crime occurrences and air quality factors. The suggestion method allows safer, healthier, and more pleasant paths for drivers and analytic data for city planners compared to single-criteria route selection approaches.