La gestión del conocimiento ha adquirido una importancia significativa como factor de cambio y desarrollo en todo el quehacer de la sociedad. Su principal misión es crear un ambiente en el que el conocimiento y la información disponibles en una organización sean accesibles y puedan ser usados para estimular la innovación, provocar mejoras en la toma de decisiones y producir nuevos conocimientos. La clave está en crear una cultura donde la información y el conocimiento se valoren, se compartan, se gestionen y se usen eficaz y eficientemente. Las Tecnologías de la Información y las Comunicaciones (TIC) han proporcionado herramientas de indudable valor para la generación de bases de conocimiento, y constituyen un nuevo ámbito de investigación y desarrollo en este sentido. El trabajo que presentamos pretende valorar importantes aspectos a atender; entre éstos tenemos la política y los elementos principales de la estrategia para gestionar el conocimiento con el empleo de las TIC, que permita impulsar el desarrollo de una organización.

Aim: In this study it is presented a methodology to determine the structural response of a tensegrity system working under the effects of wind, temperature variations and when coupled to a steel spatial grid applied as pedestrian bridge. This methodology is based in applying nonlinear static and dynamic analyzes and the base motion method. Place and Duration of Study: The study was carried out in the Graduate Engineering Department, Universidad Autonoma de Queretaro, Queretaro, Mexico. September 2017 to July 2019. Methodology: At first instance, it was analyzed the equilibrium configuration of a tensegrity system by only considering self-weight through non-linear static analyzes. In the second stage, it was studied the structural response and internal forces of the proposed tensegrity system under environmental loads as temperature variations and wind forces, which were represented as dynamic effects in a non-linear finite element model. Later, a spatial steel grid was analyzed for such environmental loads but using linear static analyzes. Finally, by applying the principle of superposition to the spatial steel grid, and the base motion method to the tensegrity system, it was represented the coupling of both systems as a single assembly. Results: The structural response of a tensegrity system when working under different load conditions is obtained. Also, the effects produced by the coupling of both systems are determined. Conclusion: The study concluded that the tensegrity system shows a stable response for the different load combinations established. There are also denoted the increases in internal forces and displacements for specific loads cases, which may affect locally some components and the overall behavior of the assembly.

Place and duration of Study: Faculty of Engineering, Autonomous University of Queretaro, January 2022 to May 2023. This study analyzed wind pressures in two ways: first, according to current Mexican standards, and second, by performing a dynamic wind analysis using Computational Fluid Dynamics (CFD). The present study focused on analyzing the transmission tower E71W21, which is commonly used as a suspension tower in Mexico. This tower has a height of 46.9 m and a base of 12 m, and is similar to the type of towers that collapsed in the city of Los Cabos, Mexico, by the passage of Hurricane Odile in 2014. Current regulations establish that transmission line towers may be out of scope and must be designed with particular specifications for each case, by numerical models and experimental studies in the wind tunnel. Two models were made, the first model which consisted of dividing the tower into 5 parts, in order to reduce the computational cost. The model was detailed by modeling the bars with their corresponding section and simplified to the most predominant thickness of the section. The second model is the complete tower as a rigid solid without distinction between the elements. The wind pressure values obtained using the current standards in Mexico and according to specification J100-50 were found to be 15-20% lower than the values obtained from the CFD simulation results. The difference can be presented by the mesh quality, turbulence model used, or simplifications by the need to reduce the computational cost. The analysis results are presented graphically as pressure and velocity contours, as well as streamlines. Computational fluid dynamics is a very useful tool for simulating physical experiments such as in a wind tunnel, although it cannot replace the need for physical experimentation. With the help of high-performance computers, Computational fluid dynamics models offer a detailed exploration of physical phenomena.

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