Structural damage identification based on gray cloud rule generator algorithm

Guo, Huiyong; Yuan, Hefa; Huang, Qi

doi:10.1177/1687814018819904

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…Sang et al developed the extended cloud model and the extended analytic hierarchy process method to address uncertainty problems in the safety assessment of dams [38]. Guo et al used a cloud model and modal strain energy to identify uncertain damage problems caused by noise [39]. According to the above analyses, the cloud model algorithm can achieve the conversion of qualitative concepts into quantitative data, which provides an effective way to construct temperature control indexes for the multi-level risk management of high concrete dams.…”

Section: Introductionmentioning

confidence: 99%

Research on Temperature Control Index for High Concrete Dams Based on Information Entropy and Cloud Model from the View of Spatial Field

Yang,

Sun,

Zhang

et al. 2023

Water

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It is significant to adopt scientific temperature control criteria for high concrete dams in the construction period according to practical experience and theoretical calculation. This work synthetically uses information entropy and a cloud model and develops novel in situ observation data-based temperature control indexes from the view of a spatial field. The order degree and the disorder degree of observation values are defined according to the probability principle. Information entropy and weight parameters are combined to describe the distribution characteristics of the temperature field. Weight parameters are optimized via projection pursuit analysis (PPA), and then temperature field entropy (TFE) is constructed. Based on the above work, multi-level temperature control indexes are set up via a cloud model. Finally, a case study is conducted to verify the performance of the proposed method. According to the calculation results, the change law of TFEs agrees with actual situations, indicating that the established TFE is reasonable, the application conditions of the cloud model are wider than those of the typical small probability method, and the determined temperature control indexes improve the safety management level of high concrete dams. Research results offer scientific reference and technical support for temperature control standards adopted at other similar projects.

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Section: Introductionmentioning

confidence: 99%

Research on Temperature Control Index for High Concrete Dams Based on Information Entropy and Cloud Model from the View of Spatial Field

Yang,

Sun,

Zhang

et al. 2023

Water

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“…The feasibility of vibration-based damage detection is that the damage usually changes the structural characteristics, such as stiffness, which are reflected in the measured vibration characteristics of the structure [2]. The vibration characteristics include measured frequency, mode shape and strain energy, which are often used in damage detection [3][4][5]. One category of vibration-based damage detection methods is the application of time domain analysis by constructing a time series model, which has been widely used in feature exaction to realize structural damage diagnosis and detection.…”

Section: Introductionmentioning

confidence: 99%

Structural nonlinear damage detection using improved Dempster-Shafer theory and time domain model

Guo¹,

Zhou²,

Zhang³

2019

J. vibroeng.

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In the service period, a crack may appear in some engineering structures. The development of accurate and effective methods for crack damage detection has become a topic of great importance. In this paper, a nonlinear damage detection method based on the improved Dempster-Shafer (D-S) theory and time domain model is presented. First, acceleration responses in the undamaged and damaged states are measured by using accelerometers. Then, acceleration responses are utilized to establish an autoregressive (AR) model, and residual time series of acceleration responses are used to establish an autoregressive conditional heteroskedasticity (ARCH) model. A cepstral metric conversion (CMC) method based on the AR model is employed to obtain local damage solution and an autoregressive conditional heteroskedasticity conversion (ARCHC) method based on ARCH model is presented to acquire another local damage solution. Finally, the D-S theory is applied to detect damages by integrating these local damage solutions, and an improved D-S theory is further presented to enhance the detection accuracy. The numerical and experimental examples show that the improved D-S theory has high detection accuracy and good performance.

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A modified teaching–learning optimization algorithm for structural damage detection using a novel damage index based on modal flexibility and strain energy under environmental variations

Ahmadi-Nedushan

Fathnejat

2020

Engineering with Computers

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Structural damage identification based on gray cloud rule generator algorithm

Cited by 4 publications

References 20 publications

Research on Temperature Control Index for High Concrete Dams Based on Information Entropy and Cloud Model from the View of Spatial Field

Research on Temperature Control Index for High Concrete Dams Based on Information Entropy and Cloud Model from the View of Spatial Field

Structural nonlinear damage detection using improved Dempster-Shafer theory and time domain model

A modified teaching–learning optimization algorithm for structural damage detection using a novel damage index based on modal flexibility and strain energy under environmental variations

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