The data presented in this article is in relation to the research article "Vibration energy harvesting based monitoring of an operational bridge undergoing forced vibration and train passage" Cahill et al. (2018) [1]. The article provides data on the full-scale bridge testing using piezoelectric vibration energy harvesters on Pershagen Bridge, Sweden. The bridge is actively excited via a swept sinusoidal input. During the testing, the bridge remains operational and train passages continue. The test recordings include the voltage responses obtained from the vibration energy harvesters during these tests and train passages. The original dataset is made available to encourage the use of energy harvesting for Structural Health Monitoring.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789150 | PMC |
http://dx.doi.org/10.1016/j.dib.2018.01.009 | DOI Listing |
Neurosci Lett
January 2025
Department of Biomedical Engineering, School of ICT Convergence Engineering, College of Science & Technology, Konkuk University, 268 Chungwon-daero, Chungju-si, Chungcheongbuk-do, 27478, Republic of Korea. Electronic address:
Laser-induced plasma technology provides a novel method for generating tactile sensations without physical contact, offering precise and controlled stimulation. However, the impact of varying energy levels on human cognitive and perceptual responses is not yet fully understood. This study aimed to present tactile sensations using laser-induced plasma in a non-contact manner and investigate the cognitive characteristics linked to changes in the plasma's energy parameters, specifically Pulse Width (PW) and Set Current (SC).
View Article and Find Full Text PDFJ Comput Chem
January 2025
Beijing National Laboratory for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China.
Various electronically excited states and the feasibility of direct laser cooling of SH, SeH, and TeH are investigated using the highly accurate ab initio and dynamical methods. For the detailed calculations of the seven low-lying Λ-S states of SH, we utilized the internally contracted multireference configuration interaction approach, considering the spin-orbit coupling (SOC) effects. Our calculated spectroscopic constants are in very good agreement with the available experimental results.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Center for Ultrafast Science and Technology, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Fermi resonance is a common phenomenon, and a hidden caveat exists in the applications of infrared probes, causing spectral complication and shorter vibrational lifetime. In this work, using the cyanotryptophan (CNTrp) side chain model compound 5-cyanoindole (CN-5CNI), we performed Fourier transform infrared spectroscopy (FTIR) and two-dimensional infrared (2D-IR) spectroscopy on unlabeled CN-5CNI and its isotopically labeled substituents (CN-5CNI, CN-5CNI, CN-5CNI) and demonstrated the existence of Fermi resonance in 5CNI. By constructing the Hamiltonian and simulating 2D-IR spectra, we show that the distinct Fermi resonance 2D-IR patterns in various isotope substituents are determined by the quantum mixing consequences at the = 1 state, as well as the = 2 state, where the Fermi coupling and anharmonicity play a crucial role.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
Material Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, Illinois, 60439, United States.
Exposure of soft material templates to alternating volatile chemical precursors can produce inorganic deposition within the permeable template (e.g. a polymer thin film) in a process akin to atomic layer deposition (ALD).
View Article and Find Full Text PDFHeliyon
January 2025
Department of Mechanical Engineering, Mohammadia School of Engineering, Avenue Ibn Sina B.P 765, Agdal, Rabat, 10090, Morocco.
Enhanced penstock structural models significantly advance hydropower engineering, yet their increasing complexity introduces challenges. As model interactions intensify, predictability and comprehensibility decrease, complicating the evaluation of model accuracy and alignment with operational performance metrics and safety standards. This issue is particularly pronounced in dynamic modeling, where knowledge gaps hinder straightforward validation via observational data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!