Optimal Placement of Bridge Sensors Based on Adaptive Whale Algorithm
In order to solve the problem of Optimal Sensor Placement(OSP)for bridge health monitoring systems,an Adaptive Whale Optimization Algorithm(AWOA)sensor placement method is proposed.In this method,the mode is extracted through the change rate of the two norm of fisher information matrix and the effective participation of the mode,which can effectively avoid modal redundancy.Kent mapping is applied to generate initial chaotic variables,and the Modal Assurance Criterion(MAC)is taken as the fitness function.In the whale algorithm,parameter A not only controls the global and local search of the algorithm,but also controls the search step size of the algorithm,and its updating ability is insufficient.Therefore,parameter A in the whale algorithm is decomposed into the decision factor A1 and the attenuation factor A2.The global and local search of the whale algorithm is controlled by A1,which enhances the ability of the algorithm to jump out of the local optimum.While by dynamically adjusting the search step size of the algorithm through A2,the search efficiency and accuracy of the whale algorithm are improved.The results of verification of this method by the real Ha-qi Bridge show that the MAC accuracy of the AWOA is 82.29%higher than that of the Particle Swarm Optimization algorithm.
vibration and wavemodal analysiswhale optimization algorithmOSPMACinteger encoding
万方数据
维普
