Project Simulation Laboratory

Technology is constantly changing. This also applies to the field of civil engineering, where the use of digital information is necessary for the generation and efficient management of projects.

In this context, the Project Simulation Laboratory seeks to provide a space where the university community has access to new technologies for research and project development.

Areas of Study
In the Laboratory, students study and research on various areas of interest. Some of them are the following.

Building Information Modeling (BIM)
BIM modeling of existing buildings
Design and virtual construction of simulations applied to environmental projects, electromechanical, sanitary and hydraulic infrastructure, among others.
Simulation of structural behavior of buildings

Photogrammetry and sensors
Photogrammetry applied to topographic surveys and buildings, applicable to BIM models; generation of point clouds and orthomosaics for monitoring works.
Data processing using LiDAR technology.
Data processing using bathymetric sensors.

Virtual and augmented reality
Models that can be interacted with by means of virtual reality and augmented reality

Artificial intelligence applied to construction sites
Use of artificial intelligence for tracking and monitoring of civil engineering works.

Regulations
Application of national regulations to infrastructure projects

Research projects
The Project Simulation Laboratory has contributed to the development of different research projects carried out with the Institute for Scientific Research (IDIC):

Implementation of the use of drones in topographic mapping (2018): The use of drones and photogrammetry for topographic surveys was evaluated.
Methodology for using drones in underwater surface relief survey (2019): Investigated the scope of photogrammetry in bathymetric surveys and the effects of external parameters on their accuracy.
Artificial intelligence applied to tracking, control and monitoring of construction sites (2020): Development of an algorithm for class and environment recognition of a civil works using images obtained by fixed cameras and drones.
Artificial intelligence applied to tracking, control and monitoring of construction sites (2021): Development of an algorithm for the control of risk and progress of civil works using images obtained by fixed cameras.