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Parameter Optimization of Wind Barrier for Highway Bridge Based on Hybrid Genetic Algorithm
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    Abstract:

    The impacts of wind barrier parameters on the aerodynamic characteristics of the vehicle-bridge sys? tem are investigated to optimize the wind barrier parameters of the highway bridge. Based on wind tunnel tests con? sidering the wind barriers with different heights and ventilation rates, the aerodynamic coefficients for the bridge and the vehicle are obtained, respectively. Afterward, the lateral displacement of the bridge under testing wind speed of aerostatic stability and the critical wind speed of aerostatic instability for the vehicle running with the design speed are calculated, respectively. A multi-objective genetic algorithm (NSGA-II) is applied to obtain the related Pareto op? timal solution set. In the algorithm, the lateral displacement of the bridge and the critical wind speed for the vehicle are considered as optimal objectives. Meanwhile, the height and the ventilation rate of the wind barrier are regarded as the variables. Taking advantage of the Data Envelopment Analysis (DEA) to evaluate the relative efficiency of the individual in the Pareto solution set, the optimal parameter of the wind barrier can be determined finally. The results show that the wind barrier with the ventilation rate of 30% and the height of 3.2 m has the best performance in consid? eration of the wind-resistant effect for both the bridge and the vehicle.

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  • Received:
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  • Online: March 04,2022
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