Optimal Three‐Dimensional Sensor Placement for Cable‐Stayed Bridge Based on Dynamic Adjustment of Attenuation Factor Gravitational Search Algorithm

Gao, Bo; Bai, Zhihui; Song, Yan-Chun

doi:10.1155/2021/6664188

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…Gao et al [161] proposed an optimized sensor placement method based on the initial sensor placement, using the dynamically adjusted attenuation coefficient gravity search algorithm (DGSA), which introduced the effective modal mass participation ratio to ensure the validity of the initial data for the optimal sensor placement. Considering the lack of development capability of the gravity search algorithm, the attenuation coefficient alpha is dynamically adjusted to assist the global search in early iterations and the local fine search in later iterations.…”

Section: Othersmentioning

confidence: 99%

Advancements in Optimal Sensor Placement for Enhanced Structural Health Monitoring: Current Insights and Future Prospects

Wang,

Chen,

Yao

et al. 2023

Buildings

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Structural health monitoring (SHM) is critical to maintaining safe and reliable civil infrastructure, but the optimal design of an SHM sensing system, i.e., optimal sensor placement (OSP), remains a complex challenge. Based on the existing literature, this paper presents a comprehensive review of OSP strategies for SHM. It covers the key steps in OSP, from evaluation criteria to efficient optimization algorithms. The evaluation criteria are classified into six groups, while the optimization algorithms are roughly categorized into three classes. The advantages and disadvantages of each group of methods have been summarized, aiming to benefit the OSP strategy selection in future projects. Then, the real-world implementation of OSP on bridges, high-rise buildings, and other engineering structures, is presented. Based on the current progress, the challenges of OSP are recognized; its future development directions are recommended. This study equips researchers/practitioners with an integrated perspective on state-of-the-art OSP. By highlighting key developments, persistent challenges, and prospects, it is expected to bridge the gap between theory and practice.

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Section: Othersmentioning

confidence: 99%

Advancements in Optimal Sensor Placement for Enhanced Structural Health Monitoring: Current Insights and Future Prospects

Wang,

Chen,

Yao

et al. 2023

Buildings

View full text Add to dashboard Cite

show abstract

“…Some scholars developed an optimal sensor deployment method based on the initial sensor deployment, which was dynamically adjusted using the dynamic adjustment of the attenuation factor gravitational search algorithm. The effective modal mass participation ratio was introduced to ensure the validity of the initial data for optimal sensor deployment (Gao et al, 2021). Moreover, some scholars used a bivariate Gaussian kernel analysis method to address the uncertainty of the external environment and estimate the zone of a gas source (Kuantama et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Multi-sensor optimal deployment based efficient and synchronous data acquisition in large three-dimensional physical similarity simulation

Hao

Zhang

2022

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Purpose This paper aims to propose a deployment optimization and efficient synchronous acquisition method for compressive stress sensors used by stress distribution law research based on the genetic algorithm and numerical simulations. The authors established a new method of collecting the mining compressive stress-strain distribution data to address the problem of the number of sensors and to optimize the sensor locations in physical similarity simulations to improve the efficiency and accuracy of data collection. Design/methodology/approach First, numerical simulations were used to obtain the compressive stress distribution curve under specific mining conditions. Second, by comparing the mean square error between a fitted curve and simulation data for different numbers of sensors, a genetic algorithm was used to optimize the three-dimensional (3D) spatial deployment of sensors. Third, the authors designed an efficient synchronous acquisition module to allow distributed sensors to achieve synchronous and efficient acquisition of hundreds of data points through a built-in on-board database and a synchronous sampling communication structure. Findings The sensor deployment scheme was established through the genetic algorithm, A synchronous and selective data acquisition method was established for reduced the amount of sensor data required under synchronous acquisition and improved the system acquisition efficiency. The authors obtained a 3D compressive stress distribution when the advancement was 200 m on a large-scale 3D physical similarity simulation platform. Originality/value The proposed method provides a new optimization method for sensor deployment in physical similarity simulations, which improves the efficiency and accuracy of system data acquisition, providing accurate acquisition data for experimental data analysis.

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Research on optimized layout of bridge sensors based on MAC stepwise addition and subtraction algorithm

Wu¹

2022

J. vibroeng.

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The difference in the location and number of sensors induces the acquisition effect of structural state information in the bridge health monitoring system to a certain extent, which is also one of the most difficult problems restricting the development of bridge health monitoring technology. Based on the Modal Assurance Criterion, this paper took a cantilever simply supported beam as an example and adopted the Effective Independence method, Kinetic Energy method and QR decomposition method to optimize a sensor layout. Taking the number of sensors as 5, the layout and MAC matrix factors were analyzed by comparing the MAC matrix and its distribution diagrams obtained by different methods. The results showed that the stepwise subtraction method based on QR decomposition was the best. And by changing the number of sensor, it was found that the optimal number of sensor was 9. It was also found that the existing methods had the shortcomings of over-reliance on the selection of initial measuring points. In order to improve this defect, cyclic iteration of stepwise addition and subtraction was introduced, and an optimal layout method based on the stepwise addition and subtraction of the number of sensors was proposed. Through screening and optimization of this method, the average off-diagonal element in the calculation example was reduced from 0.118 to 0.006 to achieve the satisfactory optimization effect. At the same time, this method was employed to optimize the layout of a concrete continuous rigid-frame bridge with 9 and 19 sensors, and the results showed that the sensor layout was more uniform. Therefore, the proposed method provides the opportunity to obtain fair optimization results and to have a considerable engineering application value.

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Optimal Three‐Dimensional Sensor Placement for Cable‐Stayed Bridge Based on Dynamic Adjustment of Attenuation Factor Gravitational Search Algorithm

Cited by 3 publications

References 28 publications

Advancements in Optimal Sensor Placement for Enhanced Structural Health Monitoring: Current Insights and Future Prospects

Advancements in Optimal Sensor Placement for Enhanced Structural Health Monitoring: Current Insights and Future Prospects

Multi-sensor optimal deployment based efficient and synchronous data acquisition in large three-dimensional physical similarity simulation

Research on optimized layout of bridge sensors based on MAC stepwise addition and subtraction algorithm

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