Results 21 to 30 of about 138,580 (269)

Design and test of a novel accelerometer made-up of an optical-fiber embedded within a polymer resin

MATEC Web of Conferences, 2015
This paper presents a transducer for an optical-fiber accelerometer based on a polarization analysis. The transducer is made up of a fiber section embedded within a resin placed between two metallic pieces.
Tihon Pierre, Verlinden Olivier, Kouroussis Georges, Mégret Patrice, Wuilpart Marc   +4 more
doaj   +1 more source

Multiscale analysis of friction behavior at fretting interfaces

Friction, 2020
Friction behavior at fretting interfaces is of fundamental interest in tribology and is important in material applications. However, friction has contact intervals, which can accurately determine the friction characteristics of a material; however, this ...
Zhinan Zhang, Shuaihang Pan, Nian Yin, Bin Shen, Jie Song   +4 more
doaj   +1 more source

Music Therapy Advances in Neuro-disability - Innovations in Research and Practice: Summary Report and Reflections on a Two-Day International Conference

Voices, 2014
This article provides a summary of the oral papers presented during a two day international conference, which took place on 7th & 8th June 2013, at the Royal Hospital for Neuro-disability (RHN) in London.
Julian Winn O'Kelly, Wendy Magee, Alex Street, Jörg Fachner, Adèle Isabel Drake, Joel Cahen, Teppo Särkämö, Hanne Mette Ridder, Monika Jungblut, Ruth Melhuish, Dale Taylor   +10 more
doaj   +1 more source

Active Flutter Suppression and Aeroelastic Response of Functionally Graded Multilayer Graphene Nanoplatelet Reinforced Plates with Piezoelectric Patch

Applied Sciences, 2022
This paper investigates the aeroelastic flutter and vibration reduction of functionally graded (FG) multilayer graphene nanoplatelets (GPLs) reinforced composite plates with piezoelectric patch subjected to supersonic flow.
Jie Chen, Ruofan Han, Dekun Liu, Wei Zhang   +3 more
doaj   +1 more source

Vibrating Heart

The Anatolian Journal of Cardiology, 2018
Abstract Not ...
openaire   +3 more sources

Modal Parameter Identification of Structures Using Reconstructed Displacements and Stochastic Subspace Identification

Applied Sciences, 2021
A method of modal parameter identification of structures using reconstructed displacements was proposed in the present research. The proposed method was developed based on the stochastic subspace identification (SSI) approach and used reconstructed ...
Xiangying Guo, Changkun Li, Zhong Luo, Dongxing Cao   +3 more
doaj   +1 more source

Graphene-Based Systems for Enhanced Energy Storage

E3S Web of Conferences, 2017
Extensive global research efforts have focused on the exploitation of graphene for enhanced energy storage. Novel graphene-based composite material electrodes have been developed, in many cases with reports of outstanding performance.
Amplianitis Aris, Masouras Athanasios, Gkikas Giorgos, Kalogridi Zampia, Baltopoulos Athanasios, Vavouliotis Antonios, Tsantzalis Stavros, Kostopoulos Vassilis, Lafont Ugo   +8 more
doaj   +1 more source

Free Vibrations of a New Three-Phase Composite Cylindrical Shell

Aerospace, 2023
The novel concept of a functionally graded three-phase composite structure is derived from the urgent need to improve the mechanical properties of traditional two-phase composite structures in aviation.
Tao Liu, Jinqiu Duan, Yan Zheng, Yingjing Qian   +3 more
doaj   +1 more source

Nonlinear dynamic investigations on rolling element bearings: A review

Advances in Mechanical Engineering, 2018
Rolling element bearings are one of the most precarious components and play an important role in the effective operation of rotating machinery. Bearings are one of the foremost sources of nonlinearity in rotating machineries which significantly affect ...
Aditya Sharma, Nitin Upadhyay, Pavan Kumar Kankar, Muniyappa Amarnath   +3 more
doaj   +1 more source

A Methodology for Turbine-Level Possible Power Prediction and Uncertainty Estimations Using Farm-Wide Autoregressive Information on High-Frequency Data

Energies
Wind farm performance monitoring has traditionally relied on deterministic models, such as power curves or machine learning approaches, which often fail to account for farm-wide behavior and the uncertainty quantification necessary for the reliable ...
Francisco Javier Jara Ávila, Timothy Verstraeten, Pieter Jan Daems, Ann Nowé, Jan Helsen   +4 more
doaj   +1 more source