Research Of Structural Damage Identification Based On Fruit Fly Optimization Algorithm Improved By Cloud Model

Nowadays,the world changes every moment.Engineering of complex structure such as high-rise buildings and large scale of bridges crossing rivers is increasing gradually.As the time goes,a variety of damage for example cracks,fatigue,puddles,corrosion and so on can emerge in those civil engineering architectures,threatening people’s living and travel.Therefore,structural health monitoring creates in order to solve these problems.Structural health monitoring technology means that select the structural vibration information,analyze and process it to online monitor structures,warn the monitors and detect,identify damage.Structural damage identification has become an important role in structural health monitoring.For the issue,fruit fly optimization algorithm(FOA),a swam intelligent algorithm using in the structural damage identification,the passage illustrates FOA is able to perform better in identifying structural damage.We can take it into consideration in the real engineering,the passage’s specific contents are as following(1)Firstly,introduce history of structural damage identification belonging to national experts,international scholars’ research status as well and confirm widely known process of damage identification and many major identification methods.And make the further introduction of damage identification based on model modification containing its progress and achievement at the present stage.(2)Then illustrate the computational principle and working steps of fruit fly optimization algorithm(FOA),a metaheuristic algorithm.By the cloud model in the step of new swam position creating and proposing two changeable strategies of the parameters of cloud,fuzziness and randomness generated by cloud model improve the premature and locally convergent results owing to simplification of new positions.The convergent speed and accuracy grow comparing with the results of other swam intelligent algorithms.(3)The dynamic characteristic parameters of the structure,the change rate of natural frequency,and the mode assurance criterion(MAC)are used as the damage factors.The weight coefficients and the regularization term are introduced in the objective function to optimize identification results.The spatial framework finite element model was built on ANSYS software,and the structural damage identification process was performed based on the idea of model modification combined with the modified fruit fly optimization algorithm.The improved algorithm based on L1 regularization is more accurate and effective in identifying the damage location and the damage accuracy.There are fewer erroneous judgement elements.(4)Lastly,make the experimental verification by a sheet steel that is two meter long with two fixed ends vibrating after numerical simulation.Arrange several test points in the sheet steel,test acceleration signals of the sheet steel while it is without damage and suffer damage in different positions and degrees.We can identify the damage effectively in several working condition by the processed signals being input into the FOA,then we use the experiments verifying the usefulness of the FOA in practice.