This paper presents a design method for multi-story timber building with consideration of regulatory constraints. The objective is to optimize in the same time thermal, structural and environmental objectives taking into account the industrial feasibility. To set up this method and the appropriate tool a study case is developed and will be implemented.
Integrated packing and sequence-optimization problems appear in many industrial applications. As an example of this type of problem, we consider the production of glued laminated timber (glulam) in sawmills: Wood beams must be packed into a sequence of pressing steps subject to packing constraints of the press and subject to sequencing constraints. In this paper, we present a three-stage approach for solving this hard optimization problem: Firstly, we identify alternative packings for small parts of an instance. Secondly, we choose an optimal subset of these packings by solving a set cover problem. Finally, we apply a sequencing algorithm in order to find an optimal order of the selected subsequences. For every level of the hierarchy, we present tailored algorithms, analyze their performance and illustrate the efficiency of the overall approach by a comprehensive numerical study.
Project contact is Louis Gosselin at Université Laval
The volume occupied by all components between the ceiling of a floor and the floor of the upper floor (slab, ventilation duct, plumbing, etc.) is of great importance and it is best to minimize its thickness. This project aims to develop a multi-objective optimization strategy to design this sandwich type assembly according to various structural, acoustic, thermal and mass transfer criteria (Alev and Kalamees, 2017), while minimizing its volume, its size and its cost. and this, according to a given context. A case study will be conducted to assess the degree of optimality of the solutions chosen. Multidisciplinary tools facilitating the optimal design of this system will be proposed.