Location of Tensile Damage Source of Carbon Fiber Braided Composites Based on Two-Step Method

Ding, Gang; Xiu, Chunbo; Wan, Zhinian; Li, Jialu; Pei, Xiaoyuan; Zheng, Zhiping

doi:10.3390/molecules24193524

Cited by 7 publications

(3 citation statements)

References 38 publications

(38 reference statements)

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“…First, the time-frequency results processed by Hilbert-Huang transform were used for material anisotropy sound velocity compensation, and initial localization was performed using the four-point circular arc method. Then, the parameters of the probabilistic neural network were optimized using the chaos algorithm in the fish swarm algorithm and the improved Drosophila optimization algorithm to further improve the localization accu-racy [118]. Based on the time-of-arrival method used to calculate the AE source location, the node recording start time or threshold selection can more or less affect the accuracy of the results.…”

Section: Wind Power Blade Damage Source Localizationmentioning

confidence: 99%

Acoustic-Signal-Based Damage Detection of Wind Turbine Blades—A Review

Ding

Chao

Zhang

2023

Sensors

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Monitoring and maintaining the health of wind turbine blades has long been one of the challenges facing the global wind energy industry. Detecting damage to a wind turbine blade is important for planning blade repair, avoiding aggravated blade damage, and extending the sustainability of blade operation. This paper firstly introduces the existing wind turbine blade detection methods and reviews the research progress and trends of monitoring of wind turbine composite blades based on acoustic signals. Compared with other blade damage detection technologies, acoustic emission (AE) signal detection technology has the advantage of time lead. It presents the potential to detect leaf damage by detecting the presence of cracks and growth failures and can also be used to determine the location of leaf damage sources. The detection technology based on the blade aerodynamic noise signal has the potential of blade damage detection, as well as the advantages of convenient sensor installation and real-time and remote signal acquisition. Therefore, this paper focuses on the review and analysis of wind power blade structural integrity detection and damage source location technology based on acoustic signals, as well as the automatic detection and classification method of wind power blade failure mechanisms combined with machine learning algorithm. In addition to providing a reference for understanding wind power health detection methods based on AE signals and aerodynamic noise signals, this paper also points out the development trend and prospects of blade damage detection technology. It has important reference value for the practical application of non-destructive, remote, and real-time monitoring of wind power blades.

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Section: Wind Power Blade Damage Source Localizationmentioning

confidence: 99%

Acoustic-Signal-Based Damage Detection of Wind Turbine Blades—A Review

Ding

Chao

Zhang

2023

Sensors

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“…Permission to reproduce was granted under the conditions of the license (CC BY 4.0). Copyright 2019, Ding et al (2019) (C) Woven. Permission to reproduce was granted under the conditions of the license (CC BY 4.0).…”

Section: Nanofiber-based Scaffoldsmentioning

confidence: 99%

Advanced Nanofiber-Based Scaffolds for Achilles Tendon Regenerative Engineering

Zhu

He²,

Ji³

et al. 2022

Front. Bioeng. Biotechnol.

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The Achilles tendon (AT) is responsible for running, jumping, and standing. The AT injuries are very common in the population. In the adult population (21–60 years), the incidence of AT injuries is approximately 2.35 per 1,000 people. It negatively impacts people’s quality of life and increases the medical burden. Due to its low cellularity and vascular deficiency, AT has a poor healing ability. Therefore, AT injury healing has attracted a lot of attention from researchers. Current AT injury treatment options cannot effectively restore the mechanical structure and function of AT, which promotes the development of AT regenerative tissue engineering. Various nanofiber-based scaffolds are currently being explored due to their structural similarity to natural tendon and their ability to promote tissue regeneration. This review discusses current methods of AT regeneration, recent advances in the fabrication and enhancement of nanofiber-based scaffolds, and the development and use of multiscale nanofiber-based scaffolds for AT regeneration.

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“…One of the significant capabilities of AE technology is the ability to localize the actual damage position. This is an important purpose of any nondestructive testing [12,13]. Such accuracy intends to reflect the degree of concurrence between the identified location and the real damage place.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Sound of Materials: Application of Acoustic Emission Technique for Monitoring Material Behavior

Ríos-Soberanis,

Sakai,

Wakayama

2024

MSF

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During the last years, some concerns have arisen in relation to the outcome of mechanisms of failure in composite materials according to its mechanical behavior. Such interest resulted in the development of new complex structures in order to enhance its mechanical resistance and the controlling of damage processes. Nevertheless, it is imperative to understand the degree of mechanical performance that these materials can achieve when under external stresses. In this regard, applying Acoustic Emission (AE) technique is widely known as a very effective technology for identifying and monitoring damage progression on different kind of materials and structures providing valuable information. AE is a non-destructive technique (NDT) capable of detecting micro damage initiation and propagation along several types of failure modes such as reinforcement/matrix interfacial debonding, matrix cracking, delamination, fracture, etc. This paper examines applications of AE regarding to composite materials where fracture processes are generally more complex and data interpretation is correspondingly more difficult. Finally, in order to continuously improve the reliability of this technique, several researches have advanced its trustworthiness through innovations in AE technology. Some perspectives are discussed.

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Location of Tensile Damage Source of Carbon Fiber Braided Composites Based on Two-Step Method

Cited by 7 publications

References 38 publications

Acoustic-Signal-Based Damage Detection of Wind Turbine Blades—A Review

Acoustic-Signal-Based Damage Detection of Wind Turbine Blades—A Review

Advanced Nanofiber-Based Scaffolds for Achilles Tendon Regenerative Engineering

Analyzing the Sound of Materials: Application of Acoustic Emission Technique for Monitoring Material Behavior

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