Korslimmat trä – Optimering av tvärsnittsuppbyggnad

Detta är en Kandidat-uppsats från Lunds universitet/Byggnadsmekanik; Lunds universitet/Institutionen för byggvetenskaper

Sammanfattning: Cross-laminated timber, CLT, is a rather new building material. It consists of an odd number of layers consisting of lumber boards stacked together, where each layer is rotated 90 degrees in comparison to the adjacent layers. The material is used both as a load-carrying element as well as a non-load-carrying element, such as stairs. Today there is only one established producer of CLT in Sweden. Due to the increasing popularity of the material, there are now several other producers that have started or are starting with CLT production. For new CLT producers it is imperative to optimize their products regarding technical and economical aspects. This thesis enlightens how such an optimization can be done and acknowledging which technical aspects that are the most important while optimizing the product selection for a CLT manufacturer. As a background to the thesis, to get a common knowledge of how CLT works, and to include the producer’s view of the manufacturing process and product selection, an initial literature study was conducted, followed by interviews with the manufacturers. The optimization was mainly done using a spreadsheet where different cross sections (number of layers, layer thickness and quality) were analyzed with respect to different load scenarios. The thesis has several limitations including fire performance and exclusion of asymmetrical cross-sections. The results show that elements consisting of 5 or 7 layers are better suited as a floor system thanks to the fact that they can manage longer spans. Regarding walls, elements consisting of 3 layers are suitable in most cases, as their capacities rapidly increase when the layer thicknesses are increased. Furthermore, the results show that several factors other than the cross-sectional structure need to be considered for the optimization to be complete. Costs are a complex factor to include in an optimization as it is difficult to derive a cost for an element without including factors that are specific for each manufacturer

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