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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Detection of indentation damage in carbon fibre-reinforced composites via EIT based on mechanical-electric coupling simulation and BT-CNN
In damage detection of carbon fibre-reinforced polymer (CFRP), electrical impedance tomography (EIT) is widely used due to its low-cost, zero radiation, and fast response advantages. However, the inverse problem of EIT is highly underdetermined and nonlinear. Researchers usually use regularisation or machine learning methods to solve the inverse problem. In learning-based approaches, most researchers use artificial through-hole damage for their simulation datasets.
Proteomic insights into the effects of Jianweixiaoshi tablets on funct
Back to Journals » Drug Design, Development and Therapy » Volume 18 Authors Cheng X , Wan J, Sun D, Zhan Y, Yu J, Li Y, Xiong Y, Liu W Received 1 July 2024 Accepted for publication 5 November 2024 Published 12 November 2024 Volume 2024:18 Pages 5129—5148 DOI https://doi.org/10.2147/DDDT.S477034 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 2 Editor who approved publication: Professor Anastasios Lymperopoulos Xiaoying Cheng,1,2,* Jianhua...
A Flexible Conformal Piezoresistive Sensor Based on Electrospinning for Deformation Monitoring of Carbon Fiber‐Reinforced Polymer
Abstract Carbon fiber-reinforced polymer (CFRP) materials are widely applied in various areas as key structure components. The structural health monitoring of the CFRP components is crucial to prevent catastrophic failure. However, the nonplane surfaces of CFRP components hinder the attaching of monitoring sensors with hard substrates. Therefore, the substrate conditions for sensor preparation are mainly considered in this study.
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