A multi-objective genetic algorithm for optimal design of cable networks with external dampers and cross-ties

2021 ◽  
Author(s):  
Fangdian Di ◽  
Lin Chen ◽  
Limin Sun

<p>A hybrid technique combining cross-ties and external dampers has been successfully applied in several cable-stayed bridges. However, there is a lack of optimization design method in practical design of the hybrid system. Therefore, this study proposes an optimal design method to optimize the parameters of the cross-ties and external dampers for the cable vibration mitigation, using multi-objective genetic algorithm (MOGA). A two-cable hybrid system is studied in this paper and its characteristic equation is derived by using the complex modal analysis method. The optimal design method is introduced and its feasibility is demonstrated by analyzing a simple cable-damper system. Subsequently, the proposed method is used for optimal design of the cross-tie and external dampers of a two-cable hybrid system. The results indicate that the proposed method can be used for performance optimization of hybrid cable networks system in practice.</p>

2013 ◽  
Vol 756-759 ◽  
pp. 3136-3140
Author(s):  
Zhuo Yi Yang ◽  
Yong Jie Pang ◽  
Shao Lian Ma

Multi-objective arithmetic NSGA-II based on Pareto solution is investigated to deal with integrated optimal design of speedability and manoeuvre performances for submersible. Approximation model of resistance for serial revolving shape is constructed by hydrodynamic numerical calculations. The appraisement criterions of stability and mobility are calculated from linear equation of horizontal movement by estimating hydrodynamic coefficient of submersible. After optimization, the scattered Pareto solution of drag and turning diameter are gained, and from the solutions designer can select the reasonable one based on the actual requirement. The Pareto solution can ensure the minimum drag in this manoeuvre performance or the best manoeuvre performance in this drag value.


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