Opportunities in Civil Projects with Artificial Intelligence
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Bibliografische Angaben
| Autor(en): |
Alexander Kjellgren
(Skanska Sweden AB, Gothenburg, Sweden)
Per Kettil (Skanska Sweden AB, Gothenburg, Sweden) Rasmus Rempling (Chalmers University of Technology, Gothenburg, Sweden) Mats Karlsson (Swedish Transport Administration, Gothenburg, Sweden) |
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| Medium: | Tagungsbeitrag | ||||
| Sprache(n): | Englisch | ||||
| Tagung: | IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023 | ||||
| Veröffentlicht in: | IABSE Congress New Delhi 2023 | ||||
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| Seite(n): | 1207-1215 | ||||
| Anzahl der Seiten (im PDF): | 9 | ||||
| DOI: | 10.2749/newdelhi.2023.1207 | ||||
| Abstrakt: |
To analyse and compare different production methods, innovative designs and sustainability are essential keys in civil projects. A promising approach is to combine automated design methods supported by artificial intelligence (AI). The purpose of this study was to identify and describe knowledge gaps in this field and necessary method development. A series of interviews were performed with experienced personnel from the construction business in order to point out how evaluation of alternatives in today’s tender processes are performed. Furthermore, a literature review was carried out to determine the possibilities with AI. It can be concluded that requirement documents, and information management need to improve. Furthermore, several methods for multi-objective constrained optimization exists today. If this is combined with a set-based parametric design approach, contractors could increase their ability in finding opportunities. |
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