In this article, a probability-based damage detection procedure is presented, in which the random factor method for non-homogeneous random field is developed and used as the forward propagation to analytically evaluate covariance matrices in each iteration step of stochastic model updating.
A practical closed loop control based damage detection scheme is presented aiming at detecting small damage in controlled structures.
Among the numerous vibration based damage detection methods, some are using dynamically measured flexibility matrix to detect and locate damage in the structure.
A statistical pattern recognition based damage detection algorithm is proposed.
Traditional vibration based damage detection efforts focused mainly on the detection of fatigue cracking.
To achieve this goal, a simulation based damage detection method is used that incorporates the Concrete Damaged Plasticity model.
The paper establishes a sensitivity based damage detection method to use PSD.
The results obtained from a number of different damage scenarios confirm the feasibility of the proposed vibration based damage detection method for three dimensional asymmetric buildings.
The vibration based damage detection has practically no alternative as applied to the rotating shafts of steam turbines during operation.
Motivated by one of the concepts in the field of health monitoring for structural systems, a damage detection procedure is developed.
The optimization algorithm used to minimize the objective function and damage detection procedures are explained.
