Modelo de implementación de la metodología brim para la optimización de la planificación y ejecución de puentes de concreto armado sobre ríos

Published in: Industry, Innovation, and Infrastructure for Sustainable Cities and Communities: Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference: July 24-26, 2019
Location of Conference: Montego Bay, Jamaica
Authors: José Villanes (Universidad Peruana de Ciencias Aplicadas, PE)
Luis Maesaka (Universidad Peruana de Ciencias Aplicadas, PE)
Elsa Carrera (Universidad Peruana de Ciencias Aplicadas, PE)
(Universidad Peruana de Ciencias Aplicadas)
Full Paper: #62


Bridge projects present problems throughout their development, such as cost overruns, delays and poor quality. The most common causes are poor planning, budgets not adjusted to reality, errors in the basic studies and consequently in the technical file, as well as the existence of errors in the transfer of information between stages or those involved. For all this, a research was carried out whose purpose is to propose a model of implementation of the BrIM methodology that allows to optimize the construction of reinforced concrete bridges over rivers and use it in future bridge projects with these characteristics. This model guides its application in the stages of technical file and project execution, through the virtual construction of the project divided into six three-dimensional models of information in which ten BrIM uses are developed. For the validation of the study, a comparative analysis was made between the traditional way of working with the proposed BrIM implementation model applied to the information of the technical file and execution of a bridge located in the jungle region of South America; it was evidenced that with the use of the proposed model, the following results were obtained: a cost reduction of 11.3%; identification of interferences and inconsistencies before the start of the execution; more detailed and realistic planning, better analysis of constructibility and efficient management of RFI's (Information Requests).