Issue 64

P. Ghannadi et alii, Frattura ed Integrità Strutturale, 64 (2023) 51-76; DOI: 10.3221/IGF-ESIS.64.04

Ref.

Year

Objective

Methodology

Structure

Result and Finding

This study applied the SA algorithm to optimize the objective functions.

function is formulated using the differences between the measured and calculated incomplete displacements. The last objective function is the weighted static residue force vector with incomplete characteristics. objective function was proposed, including weighted natural frequency and displacement components. It should be noted that the objective function only contained the first five vibration modes. Three objective functions were considered to solve the optimal sensor placement problem with two hundred sensor location candidates. The fisher information matrix (FIM), the mode shapes' mean square error (MSE), and the MAC as the sensor arrangement criteria are used to establish the first, second, and third objective functions. A hybrid The differences between the measured and calculated flexibility matrix defined an objective function. It should be emphasized that the statically reduced stiffness matrix is applied to form the reduced-order flexibility matrix. Two objective functions based on acceleration time series data and dynamic characteristics such as natural frequencies and mode shapes are established to solve the optimization

Al-Wazni et al. [110]

2014 The SA algorithm was employed to minimize a hybrid objective function and determine the location and severity of the structural damages.

Simply supported beam

The presented study illustrates the efficiency of the SA algorithm and the proposed hybrid objective function for accurately detecting the damage in a simply supported beam with ten discretized elements. The results indicate that the proposed method outperforms GA and standard SA regarding optimal sensor placement. Besides, more minor mode shape errors were obtained using MAC and MSE as the objective functions. The results indicate that the MAC function performs better in the optimal arrangement of many sensors. Results showed that the flexibility matrix is a sensitive index in damage identification, and DESO yielded satisfactory results compared with other optimization techniques, including SA, PSO, and Luus–Jaakola. The proposed method can work under noisy conditions and incomplete measured data. The introduced SA-unscented Kalman filter can modify the accuracy, computational cost, and convergence rate of the conventional SA. Additionally, using an objective function based on acceleration time series data with six unknown parameters

Tong et al. [111]

2014 An improved version of the SA algorithm with search capability in

Rectangular concrete slab

multiple dimensions was developed. This modified version attempts to provide an optimal combination of sensor configurations. The performance of the improved SA algorithm was also compared with that of GA. Note: The optimal sensor placement is an essential phase in the vibration-based SHM methods. approach defined as an inverse problem through the minimization of an objective function using four optimization algorithms: differential evolution stochastic optimization (DESO), PSO, SA, and Luus–Jaakola. computational efficiency, accuracy, and convergence rate of the conventional SA method were enhanced by a hybrid technique known as the SA-unscented Kalman filter. This modified

Stutz et al. [112]

2015 This paper presents a damage identification

Simply supported beam

Astroza et al. [113]

2016 The

Steel frame building

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