This data article comprises data to investigate the non-linear dynamic behavior of the beam benchmark structure that is a clamped-clamped steel beam with non-ideal boundary conditions subjected to two broadband correlated or uncorrelated random excitations. Experiments have been performed on the CEA-CESTA laboratory. The data provided include output measurements for the nonlinear dynamic behavior of the CEA-beam (i.e., the accelerations amplitudes for the three accelerometers on the beam), as well as the two input forces amplitudes. In comparison with the data provided in [4] which only considers the case of a single exitation, experimental results are extended for the CEA-beam system subjected to two correlated or uncorrelated broadband random excitations. All the results from this data will help researchers and engineers in proper analysis of the nonlinearities of the clamped-clamped beam and the effects of the correlation between two broadband correlated or uncorelated random excitations on the nonlinear signature of this academic structure. One of the main original contributions is to share the data sets to give the opportunity to researchers for testing and validating analytical or numerical models of a nonlinear beam with non-ideal boundary conditions and subjected to multipoint correlated or uncorrelated random excitations. This Data in Brief article is an additional item directly alongside the following paper published in the Elsevier journal: S. Talik, J-J. Sinou, M. Claeys and J-P. Lambelin, Communications in Nonlinear Science and Numerical Simulation, 106328, 2022.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301508PMC
http://dx.doi.org/10.1016/j.dib.2022.108448DOI Listing

Publication Analysis

Top Keywords

random excitations
20
correlated uncorrelated
16
excitations data
12
dataset measurements
8
benchmark structure
8
cea-beam system
8
system subjected
8
subjected correlated
8
uncorrelated broadband
8
broadband random
8

Similar Publications

Emotion recognition plays a crucial role in brain-computer interfaces (BCI) which helps to identify and classify human emotions as positive, negative, and neutral. Emotion analysis in BCI maintains a substantial perspective in distinct fields such as healthcare, education, gaming, and human-computer interaction. In healthcare, emotion analysis based on electroencephalography (EEG) signals is deployed to provide personalized support for patients with autism or mood disorders.

View Article and Find Full Text PDF

Background: Chronic ankle instability (CAI) has been associated with neuromuscular control dysfunction, particularly of the peroneal musculature.

Research Question: How do neuromuscular characteristics of the peroneal muscles, including corticospinal excitability, strength, proprioception (force sense) and electromyographic measures differ in individuals with CAI compared to healthy control counterparts aged 18-45?

Methods: A systematic review with meta-analysis was conducted by retrieving relevant articles from electronic databases including EBSCOhost (CINAHL Complete, AMED, SPORTDiscus), Ovid (MEDLINE, Embase), Web of Science, Scopus and Cochrane Library as well as Grey literature sources. The eligibility and methodological quality of the included case-control and cross-sectional studies were assessed by two reviewers.

View Article and Find Full Text PDF

Oral cancer ranks among the top ten cancers globally, with a five-year survival rate below 50%. This study aimed to evaluate the effectiveness of autofluorescence-guided surgery compared to standard surgical methods in identifying tumor-free margins and ensuring complete excision. A prospective cohort of 80 patients was randomized into two groups: the control group underwent excision with a 10 mm margin based on clinical judgment, while the experimental group used autofluorescence guidance with a 5 mm margin beyond fluorescence visualization loss.

View Article and Find Full Text PDF

Non-invasive brain stimulation (NIBS) techniques have emerged as a promising non-pharmacological adjunct to neurorehabilitation. Children with Cerebral Palsy (CP) exhibit altered cortical excitability, and while CP remains incurable, physiotherapy combined with other interventions is essential for managing motor dysfunction. Although some studies have examined NIBS using various stimulation parameters, there is limited evidence regarding its effects on the lower extremities and optimal administration protocols.

View Article and Find Full Text PDF

Multiscale feature enhanced gating network for atrial fibrillation detection.

Comput Methods Programs Biomed

January 2025

College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, PR China. Electronic address:

Background And Objective: Atrial fibrillation (AF) is a significant cause of life-threatening heart disease due to its potential to lead to stroke and heart failure. Although deep learning-assisted diagnosis of AF based on ECG holds significance in clinical settings, it remains unsatisfactory due to insufficient consideration of noise and redundant features. In this work, we propose a novel multiscale feature-enhanced gating network (MFEG Net) for AF diagnosis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!