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Optimization of 2d drawings in architectural engineering and construction

Malysh, Konstantin (2020)

 
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Malysh, Konstantin
2020

Degree Programme in Information Technology, MSc (Tech)
Informaatioteknologian ja viestinnän tiedekunta - Faculty of Information Technology and Communication Sciences
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Hyväksymispäivämäärä
2020-05-18
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202004284134
Tiivistelmä
The work of optimizing the 2d drawings in order to improve their readability and make them ready for the professional use is currently executed manually by the architectural designers, taking too much time and too many resources. This thesis suggests different approaches to improve the designers' life and reduce their workload by automatically restructuring the model representations.
This thesis includes an introduction into the field of Building Information Modelling (BIM) technologies, their influence on the current state of the world, as well as into Tekla Structures, the tool for applying these technologies for construction and engineering onto the real-life tasks.

As the result, different approaches to solving the aforementioned problem are suggested in this thesis, as well as metrics to evaluate if the drawing is optimized. Firstly, the randomized approach is presented, as a way of quickly creating a fixed drawing by following simple and random changes that improve the drawing. Secondly, the grid-based approach is discussed. This method relies on a set of rules and actions and is based on geometrical properties of elements of drawings, thus being more structured. Finally, more restrictions for this method are introduced, effectively improving the quality of the optimization and execution time due to completing less actions. The testing is performed on real-life data provided by engineers.
After being described, all of the suggested approaches are being compared to each other and to the designers' work. It is shown that the proposed approaches provide time efficient results that are comparable to the ones created by professionals.
The possible ways of continuing the development are as well presented.
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Kalevantie 5
PL 617
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Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste