Partitioned genetic algorithm strategy for optimal sensor placement based on structure features of a high-piled wharf

Su, Jingbo; Luan, Shao-Lun; Zhang, Li Min; Zhu, Ruihu; Wang-gen, Qin

doi:10.1002/stc.2289

Cited by 8 publications

(2 citation statements)

References 15 publications

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“…One of the most widely used optimization techniques in the field of control systems is the GA that scrolls through a list of possible solutions to determine the optimal or near optimum solution [38,39]. GA-based optimization is one of the few strategies utilized in the field of vibration control employing control devices to determine the optimal number of semi-active control devices installed in the structure.…”

Section: Outline Of Ga With Using H 2 /Lqg Control Strategymentioning

confidence: 99%

Investigation of proposed integrated control strategies based on performance and positioning of MR dampers on shaking table

Wani

Tantray

Farsangi

2021

Smart Mater. Struct.

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Most of the studies in the field of structural control are focused on maximizing the performance of control devices without taking into consideration the complex dynamic response of the structure, computational efficiency, performance flexibility, and feedback reliability. Also, the location algorithm of energy dissipation should be concatenated with the control strategy, for effective structural control of multi-story structures. Moreover, in recent years, non-contact measurements using digital image correlation techniques have been adopted and implemented for the monitoring of civil engineering structures. However, its application is restricted to reinforced cement concrete members, involving a lower frequency spectrum, small displacements, and a lower image capture rate. In this study two response-based-adaptive control strategies based on inter-story drift and acceleration response reduction objectives respectively have been proposed. The control strategies are then integrated with the device location algorithm to establish the optimum configuration/location of magnetorheological dampers in addition to the design parameters of the controls system. The performance of proposed strategies is numerically compared with the benchmark Genetic algorithm using the Clipped optimal controller. The corresponding results indicated that proposed control strategies performed better for high-intensity ground motion and satisfactorily for low-intensity records. Next, the shake table results validated the performance of response-based-adaptive control strategies with device allocation algorithm in alleviating the peak and RMS response of the structure. The response of the structure was also attenuated and distributed among the modes of the structure, as indicated by the fast Fourier transform response of the structure.

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Section: Outline Of Ga With Using H 2 /Lqg Control Strategymentioning

confidence: 99%

Investigation of proposed integrated control strategies based on performance and positioning of MR dampers on shaking table

Wani

Tantray

Farsangi

2021

Smart Mater. Struct.

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“…Su et al 29 proposed a partitioned genetic algorithm strategy for OSP to perform the health monitoring of a high‐piled wharf structure. The strategy was based on the frequency and vibration modes of the structure which were obtained by modal analysis.…”

Section: Introductionmentioning

confidence: 99%

Optimal sensor placement in large‐scale dome trusses via Q‐learning‐based water strider algorithm

Kaveh

Eslamlou

Rahmani

et al. 2022

Structural Contr & Hlth

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Summary In this study, the Q‐learning algorithm is integrated into the binary water strider algorithm to adaptively control the search operators and repair strategies. The proposed algorithm (QWSA) is applied to optimal sensor placement in structures with numerous candidate locations. To handle the constraint related to the number of sensors, an efficient strategy based on the triaxial driving‐point residue (DPR3) coefficient is developed, in addition to the random solution repair strategy. The reinforcement learning algorithm with softmax policy determines which strategy should be adopted for the generated solutions. Since the utilized sensors are triaxial, the tridimensional modal assurance criterion (TMAC) is applied as the objective function. To verify the effectiveness of the proposed method, two large‐scale dome‐shaped trusses are investigated, and the results are compared with the basic water strider algorithm and several other well‐known and modern metaheuristics in the literature. The results demonstrate that placements obtained by QWSA have in average lower than half of the cost value obtained by compared methods. Additionally, average DPR3 ( trueitalicDPR3¯) of the QWSA is higher than the rest of the algorithms. The Wilcoxon test indicates that, at a 95% confidence level, the results of QWSA are superior to all algorithms. Additionally, the proposed method outperforms them in terms of convergence speed.

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Numerical and experimental investigation of damage in environmentally-sensitive civil structures using modal strain energy (case study: LPG wharf)

Samaei

Hassanabad

Ghahfarrokhi

et al. 2021

Int. J. Environ. Sci. Technol.

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Partitioned genetic algorithm strategy for optimal sensor placement based on structure features of a high-piled wharf

Cited by 8 publications

References 15 publications

Investigation of proposed integrated control strategies based on performance and positioning of MR dampers on shaking table

Investigation of proposed integrated control strategies based on performance and positioning of MR dampers on shaking table

Optimal sensor placement in large‐scale dome trusses via Q‐learning‐based water strider algorithm

Numerical and experimental investigation of damage in environmentally-sensitive civil structures using modal strain energy (case study: LPG wharf)

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