• Media type: E-Book; Thesis
  • Title: Pareto and Reliability-Oriented Aeroelastic Shape Optimization of Bridge Decks
  • Contributor: Jaouadi, Zouhour [VerfasserIn]; Lahmer, Tom [AkademischeR BetreuerIn]; Morgenthal, Guido [AkademischeR BetreuerIn]; Limam, Oualid [AkademischeR BetreuerIn]
  • Corporation: Bauhaus-Universität Weimar
  • imprint: Weimar, Juni 2021
  • Published in: Bauhaus-Universität Weimar: ISM-Bericht ; 202210
  • Extent: 1 Online-Ressource (167 Seiten); Illustrationen, Diagramme
  • Language: English
  • DOI: 10.25643/bauhaus-universitaet.4935
  • Identifier:
  • Keywords: Brücke > Fahrbahnplatte > Windlast > Aeroelastizität > Strukturoptimierung > Gestaltoptimierung
  • Origination:
  • University thesis: Dissertation, Bauhaus-Universität Weimar, 2023
  • Footnote:
  • Description: Due to the development of new technologies and materials, optimized bridge design has recently gained more attention. The aim is to reduce the bridge components materials and the CO2 emission from the cement manufacturing process. Thus, most long-span bridges are designed to be with high flexibility, low structural damping, and longer and slender spans. Such designs lead, however, to aeroelastic challenges. Moreover, the consideration of both the structural and aeroelastic behavior in bridges leads to contradictory solutions as the structural constraints lead to deck prototypes with high depth which provide high inertia to material volume ratios. On the other hand, considering solely the aerodynamic requirements, slender airfoil-shaped bridge box girders are recommended since they prevent vortex shedding and exhibit minimum drag. Within this framework comes this study which provides approaches to find optimal bridge deck cross-sections while considering the aerodynamic effects. Shape optimization of deck cross-section is usually formulated to minimize the amount of material by finding adequate parameters such as the depth, the height, and the thickness and while ensuring the overall stability of the structure by the application of some constraints. Codes and studies have been implemented to analyze the wind phenomena and the structural responses towards bridge deck cross-sections where simplifications have been adopted due to the complexity and the uniqueness of such components besides the difficulty of obtaining a final model of the aerodynamic behavior. In this thesis, two main perspectives have been studied; the first is fully deterministic and presents a novel framework on generating optimal aerodynamic shapes for streamlined and trapezoidal cross-sections based on the meta-modeling approach. Single and multi-objective optimizations were both carried out and a Pareto Front is generated. The performance of the optimal designs is checked afterwards. In the second part, a new strategy based on Reliability-Based Design Optimization (RBDO) to mitigate the vortex-induced vibration (VIV) on the Trans-Tokyo Bay bridge is proposed. Small changes in the leading and trailing edges are presented and uncertainties are considered in the structural system. Probabilistic constraints based on polynomial regression are evaluated and the problem is solved while applying the Reliability Index Approach (RIA) and the Performance Measure Approach (PMA). The results obtained in the first part showed that the aspect ratio has a significant effect on the aerodynamic behavior where deeper cross-sections have lower resistance against flutter and should be avoided. In the second part, the adopted RBDO approach succeeded to mitigate the VIV, and it is proven that designs with narrow or prolonged bottom-base length and featuring an abrupt surface change in the leading and trailing edges can lead to high vertical vibration amplitude. It is expected that this research will help engineers with the selections of the adequate deck cross-section layout, and encourage researchers to apply concepts of optimization regarding this field and develop the presented approaches for further studies.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)