Wharf structural optimal sensor placement based on IMOPSO algorithm
Here,to solve the problem of optimal sensor placement in field of wharf structural health monitoring,a optimal sensor placement algorithm based on improved multi-objective particle swarm optimization(IMOPSO)algorithm was proposed.Aiming at traditional method's problems of low optimization efficiency,single optimization objective and being difficult to simultaneously satisfy modal identification and damage identification,etc.complex health monitoring needs,a multi-objective optimization function was constructed based on damage sensitivity and redundancy,damage identification ill posedness and modal linear independence.The multi-objective particle swarm optimization algorithm was improved and called IMOPSO to obtain Pareto solution set,and TOPSIS entropy weight method was used to determine the optimal sensor placement scheme.Tests conducted on a high pile wharf showed that compared with the effective independence method and the effective independence-modal kinetic energy method,the placement scheme obtained with IMOPSO has a more uniform distribution of measurement points,and sensitivity matrix condition number,MAC maximum non-diagonal element and damage redundancy index are optimized by more than 45％,90％and 5％,respectively;identifying accuracies of damage location and damage degree under multiple working conditions are averagely improved by more than 5％and 7％,respectively under different noises.
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