Particle swarm optimization for curved beams in multistable structures

Sang, Sheng; Wang, Ziping; Fan, Jiadi

doi:10.2140/jomms.2022.17.441

Cited by 5 publications

(2 citation statements)

References 34 publications

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“…To extend the operational frequency range of the hyper-lens, Shen et al devised a broadband single-phase hyperlens capable of supporting multipolar resonances at various deep-subwavelength scales. They further demonstrated the super-resolution imaging capabilities of the lens specifically for longitudinal waves [11]. Piezoelectric materials have gained significant attention in active vibration control applications in recent years [12][13][14] [15].…”

Section: Instructionmentioning

confidence: 99%

A Pragmatic Design of Elastic Metamaterial with Extreme Anisotropic Stiffness

Cui,

Zhang,

Wang

et al. 2024

J. Phys.: Conf. Ser.

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Traditional elastic metamaterials encounter difficulties when trying to independently adjust the operating frequency in two perpendicular directions. In this research, we present a practical active elastic metamaterial with the capability to achieve extreme stiffness anisotropy. Our approach involves incorporating piezoelectric patches, coupled with adjustable conductance, into the microstructure unit cell to control the effective elastic stiffness in both primary directions. We conduct simulations to manipulate wave propagation within such metamaterials and conduct experimental investigations to validate the design. The obtained results closely align with mathematical analysis and numerical predictions, demonstrating the effectiveness of our proposed metamaterial. This novel approach offers a versatile and innovative design methodology for elastic metamaterials.

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Section: Instructionmentioning

confidence: 99%

A Pragmatic Design of Elastic Metamaterial with Extreme Anisotropic Stiffness

Cui,

Zhang,

Wang

et al. 2024

J. Phys.: Conf. Ser.

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“…It avoids the difficulty of acquiring deep defect reflection signals and pile tip signals affected by the attenuation of stress wave energy along the pile. Sang et al [6] proposed a curved beams defect detection system based on the swarm optimization algorithm. Through the analysis of the highly nonlinear waveform, the defect recognition rate of the Z axis of the foundation pile is close to 100%, which provides a theoretical basis for practical engineering applications.…”

Section: Introductionmentioning

confidence: 99%

Low-Strain Damage Imaging Detection Experiment for Model Pile Integrity Based on HHT

Jiang,

Wang,

Feng

et al. 2023

SDHM

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With the advancement of computer and mathematical techniques, significant progress has been made in the 3D modeling of foundation piles. Existing methods include the 3D semi-analytical model for non-destructive low-strain integrity assessment of large-diameter thin-walled pipe piles and the 3D soil-pile dynamic interaction model. However, these methods have complex analysis procedures and substantial limitations. This paper introduces an innovative and streamlined 3D imaging technique tailored for the detection of pile damage. The approach harnesses the power of an eight-channel ring array transducer to capture internal reflection signals within foundation piles. The acquired signals are subsequently processed using the Hilbert-Huang Transform (HHT), a robust analytical tool known for its effectiveness in handling non-stationary signals. Through the development of a sophisticated multi-channel ring array imaging algorithm, this technique empowers engineers and researchers to identify various pile defects, including their specific type, precise location, and obtain detailed 3D imaging representations. The findings of this research offer a valuable blend of theoretical insights and practical guidance, significantly advancing the state-of-the-art in the realm of concrete pile integrity inspection. By simplifying and enhancing the assessment process, this innovative approach not only addresses the complexities of existing methods but also contributes to the overall safety and reliability of concrete engineering structures.

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Prediction of elastic wave propagation in composite bars using deep learning techniques

Zhang,

Wang

2023

Materials Letters

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Particle swarm optimization for curved beams in multistable structures

Cited by 5 publications

References 34 publications

A Pragmatic Design of Elastic Metamaterial with Extreme Anisotropic Stiffness

A Pragmatic Design of Elastic Metamaterial with Extreme Anisotropic Stiffness

Low-Strain Damage Imaging Detection Experiment for Model Pile Integrity Based on HHT

Prediction of elastic wave propagation in composite bars using deep learning techniques

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