Structural damage identification is a vital part of the monitoring and maintaining of structural systems during their service life.Damage identification of structures based on dynamic test and measurement techniques has been a hot topic in recent years.Damage identification is an inverse problem in structural engineering.There are three main questions in the structural damage identification: the presence
location and extent of the structural damage.An improved genetic algorithm(GA) for the structural damage identification is presented in the present paper.The improvements include the adoption of real-valued representation
normalized geometric ranking operator
elitist model
arithmetical crossover operator and non-uniform mutation operator.Based on the conventional modal analysis theory
a new formulation of the objective function for GA
formulated by the residual forces at the nodes
is presented.Firstly
the residual forces method is employed to localize the damage
which can accurately locate the structural damage using one of any order of the modal data without noise.Noise
however
can not be avoided during the dynamic measurement
which makes the identification of the structural damage completely impossible.Considering this problem
the localization and quantification of the extent of the structural damage with noise is further performed with GA implemented by the objective function formulated by the residual forces at the node which is based on the conventional modal analysis theory.Unlike the conventional optimization methods
such as the gradient methods
which are easily trapped into local minima for the damage detection problem
GA has the capacity of locating global minima for function optimization with multiple local minima.Most importantly
GA can treat the noise-polluted problems effectively and is especially applicable to damage detection.Finally
an illustrative example of a plane truss model is used to perform a numerical simulation.The results show that the presented methods can localize and quantify the structural damage simultaneously and has good performance to deal with noise.Some problems encountered in this method are discussed in detail and some concluding remarks are given.