A Preview of Structural Design Parameters for Flyovers Under Increasing Spatial Constraints

EasyChair Preprint 11629

Abstract

Structural optimization considering two objectives simultaneously would generate a set of optimal solutions, which is called a Pareto set, instead of a unique optimal solution and thus may not satisfy the requirements of designers. This paper focuses on proposing a comprehensive criterion to weight each objective and thus convert multi-objective optimization problems to single-objective optimization problems. In recent decades, the failure of bridges during service, as well as new construction has increased with an average of 129 bridges per year during the decade 2007–2017. The average age of the bridges is 34.53 years at failure during service against the prescribed design life of 100 years. The average age of failure of bridges in India is relatively high compared to failures in China (23.60 years) and much lower compared to failures in the USA (at least 51.70 years). Thus considering the local technical issues of Chhatrapati Sambhaji Nagar are considered and based on that a general framework is tried to prepare. In this paper, the factors affecting the design of the flyover are identified. Further they are classified as dependent and independent parameters and the bounds of independent parameters are identified based on the manual design of the flyover.

Keyphrases: Pareto set, Structural Optimization, multi-objective optimization, optimal solutions

@booklet{EasyChair:11629,
  author    = {Jaya Ramchandani and Suddhasheel Ghosh},
  title     = {A Preview of Structural Design Parameters for Flyovers Under Increasing Spatial Constraints},
  howpublished = {EasyChair Preprint 11629},
  year      = {EasyChair, 2023}}