Junior MS09 - Generative Design strategies and applications in the Architecture, Engineering, and Construction Industry


Organizers

  • Laura Sardone, Department of Civil Engineering and Architecture (DICAr), Politecnico di Bari, Via Edoardo Orabona, 4, 70125 Bari BA, Italy; sardone@poliba.it
  • Beibei Xiong, Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino TO, Italy. xiong@polito.it

Abstract

The demand for well-designed, functional living and working spaces is increasing dramatically, which is set to continue well into the future. By 2050, over 13,000 urban buildings will need to be constructed globally daily, according to recent projections [1]. The Architecture, Engineering and Construction (AEC) industry increasingly employs Generative design technologies and strategies to tackle the demands. Adopting new-generation design tools improves shape exploration and structural optimization while facilitating decision-making processes in complex design problems. Moreover, due to the environmental emergency strictly related to material production, Generative Design Strategies helps the designer to deal efficiently with predicting structures employing the least material. Generative algorithms are evolving, becoming more powerful, widely applicable, and easier to use. The technology requires investment in tools, education and cultural exchange for those willing to commit to improving design techniques. In this context, the Mini-Symposium aims to expand the knowledge of the scientific community and the AEC operators, referring to the synergies exploitation between the designer and the algorithms, focusing on Generative Design techniques and the development of innovative workflows concerning digital simulation, analysis and optimization.

Contributions focusing on (i) improving engineering productivity and time-to-market with AI-driven Generative Design, (ii) frameworks of generative design, (iii) problem definition and solution-finding through Algorithm Aided Design showing the capacity of the generative approach are particularly encouraged.

Authors may discuss theoretical aspects, computational methods, modelling techniques, process application to case studies for efficient solutions, and experimental interpretation data and simulations.

[1] Bertollini, V.; Here’s what building the future looks like for A 10-Billion-Person Planet. In Redshift by Autodesk. Infographics - August 24,  2018.

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