Adaptive Prestressed Structures realized by utilization of Artificial Intelligence Techniques
|
|
|||||||||||
Bibliografische Angaben
| Autor(en): |
Martina Schnellenbach-Held
(University of Duisburg-Essen, Essen, Germany)
Daniel Steiner (University of Duisburg-Essen, Essen, Germany) |
||||
|---|---|---|---|---|---|
| Medium: | Tagungsbeitrag | ||||
| Sprache(n): | Englisch | ||||
| Tagung: | IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017 | ||||
| Veröffentlicht in: | IABSE Symposium Vancouver 2017 | ||||
|
|||||
| Seite(n): | 2133-2140 | ||||
| Anzahl der Seiten (im PDF): | 8 | ||||
| Jahr: | 2017 | ||||
| DOI: | 10.2749/vancouver.2017.2133 | ||||
| Abstrakt: |
Safety, economy and aesthetics are principal criteria for structural design. Involved contradictions between rising design demands and increasing influences provoke new challenges in the field of engineering and therefor innovative strategies and construction techniques. The conventional passive design principle of prestressed concrete is significantly improved by equipping the structure with appropriate control processes. Adaptive Prestressing is characterized by an active self-adjustment of the construction featuring various potentials. Benefits are verified by previous projects covering self-adjusting prestressed structures. A new implementation approach is based on application of AI-techniques like Fuzzy Logic, expert knowledge and machine learning. By means of experiments on two different prototypes the developed system’s applicability is verified and potential of Adaptive Prestressing is emphasized. |
||||
| Stichwörter: |
Tragwerksoptimierung adaptive Strukturen
|
||||