کلیدواژهها
|
cantilever beam, grey wolf optimization, Harris hawks optimization, mode shape expansion, residual force vector, system
equivalent reduction and expansion process, space truss, vibration-based
|
چکیده
|
Vibration-based structural damage identification through optimization techniques has become an interesting research
topic in recent years. Dynamic characteristics such as frequencies and mode shapes are used to construct the objective
function. The objective functions based on only frequencies are not very sensitive to damage in large structures. However,
objective functions based on both mode shapes and frequencies are very effective. In real measurement condition, the
number of installed sensors is limited, and there are no economic reasons for measuring the mode shapes at all degrees of
freedom. In this kind of circumstances, mode expansion methods are used to address the incompleteness of mode shapes.
In this article, the system equivalent reduction and expansion process is applied to determine the unmeasured mode
shapes. Two experimental examples including a cantilever beam and a truss tower are investigated to show system
equivalent reduction and expansion process’ efficiency in estimating unmeasured mode shapes. The results show that
the technique used for expansion is influential. Damage identification is formulated as an optimization problem, and the
residual force vector based on expanded mode shapes is considered as an objective function. In order to minimize the
objective function, grey wolf optimization and Harris hawks optimization are used. Numerical studies on a 56-bar dome
space truss and experimental validation on a steel frame are performed to demonstrate the efficiency of the developed
approach. Both numerical and experimental results indicate that the combination of the grey wolf optimization and
expanded mode shapes with system equivalent reduction and expansion process can provide a reliable approach for
determining the severities and locations of damage of skeletal structures when it compares with those obtained by Harris
hawks optimization.
|