MARTIN Hugo

No summary available.

Building information modeling opened new horizons for designing future urban spaces. Logistics and mobility issues are difficult to take into account during the construction process, as they require a precise global vision and the access to information yields by different building departments (architecture, methods, structure.). This contribution proposes a novel approach, based on a collaborative framework, to develop the building model, that is to ensure the quality of logistic and mobility during construction, with a time-efficient methodology.

Construction is lagging behind industry in terms of productivity. To remedy this, the construction world is implementing the BIM (Building Information Modeling) process. This is based on the use of a 3D digital model, a reproduction of the building, containing all the information necessary for its realization. However, engineers have reported difficulties in the use of BIM. The model contains a lot of elements from several participants. The collaborative side of building construction is not taken into account, the elements are not classified by trade, all trades work on the same model. The BIM process proposes the same working method to the different types of construction trades. This thesis proposes an interaction methodology adapted to digital building models. The goal is to offer an environment adapted to all types of building trades while respecting current design processes. This work proposes a study on the visualization of business knowledge and an interaction with immersive devices for construction. In a first step, this manuscript proposes to study the classification of the various elements of a BIM model using machine learning, assisting the visualization of data using saliency models and an interface based on collaboration. In a second step, two virtual reality rooms dedicated to construction will be described. Several immersive applications developed will be presented.

Building Information Modeling (BIM) is a recent construction process based on a 3D model, containing every component related to the building achievement. Architects, structure engineers, method engineers, and others departments to the building process work in collaboration on this model through the design-to-construction cycle. The high complexity and the large amount of information driven by novelization in the model raise several issues and delaying its wide adoption in the industrial world. One of the most important is the visualization: professionals have difficulties to find out the relevant information for their job. Actual solutions suffer from two limitations: the BIM models information are processed manually and insignificant information are simply hidden, leading to inconsistencies in the building model. This paper describes a system relying on an ontological representation of the building information to label automatically the building elements. Depending on the user's department, the visualization is modified according to these labels by automatically adjusting the colors and image properties based on a saliency model. The proposed saliency model incorporates several adaptations to fit the specificities of architectural images.