Results 81 to 90 of about 35,165 (266)

Research on the Value of Rayleigh Damping Parameter in Explicit and Implicit Integrals for Dynamic Analysis of Large Structures

Buildings
Rayleigh damping is proportional to the combination of the structural mass matrix and stiffness matrix and is widely used in structural seismic analysis.
Yan Chen, Haitao Wang, Yougang Wang, Junhong Zhang, Zitong Bao, Jianbo Li, Miaomiao Chen, Peng Xu   +7 more
doaj   +1 more source

Numerical Analysis of Bioconvection Generated by Chemotactic Bacteria

Journal of Fluid Science and Technology, 2009
Numerical simulations were carried out modeling the bioconvection generated by chemotactic bacteria in a shallow chamber, and the influence of the Rayleigh number on bioconvection was examined.
Hideki YANAOKA, Takao INAMURA, Kaoru SUZUKI   +2 more
doaj   +1 more source

Holographic Mapping of Orbital Angular Momentum using a Terahertz Diffractive Optical Neural Network

Advanced Intelligent Discovery, EarlyView.
A compact six‐layer diffractive optical neural network enables direct recognition and spatial mapping of terahertz (THz) orbital angular momentum (OAM) beams. Fabricated by 3D printing, the system distinguishes nine OAM modes and their superpositions with high fidelity, good efficiency, and low crosstalk, offering a scalable solution for THz ...
Wei Jia, Miguel Gomez, Steve Blair, Berardi Sensale‐Rodriguez   +3 more
wiley   +1 more source

Fractional dynamics in the Rayleigh’s piston [PDF]

Communications in Nonlinear Science and Numerical Simulation, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Properties and Inference for a New Class of Generalized Rayleigh Distributions with an Application

Open Mathematics, 2019
In the present paper, we introduce a new form of generalized Rayleigh distribution called the Alpha Power generalized Rayleigh (APGR) distribution by following the idea of extension of the distribution families with the Alpha Power transformation.
Biçer Hayrinisa Demirci
doaj   +1 more source

Influence Mechanism of Structural Parameters of a Novel Sleeve‐Shaft Counterrotating Hydrodynamic Cavitation Reactor on Cavitation Characteristics and Performance

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study systematically investigates the cavitation characteristics of a novel sleeve‐shaft counterrotating (SSCR) hydrodynamic cavitation reactor using computational fluid dynamics (CFD). Based on the RANS framework combined with the SST k–ω turbulence model and the Zwart–Gerber–Belamri cavitation model, the temporal–spatial evolution of ...
Sitong Guan, Yongxing Song, Peng Zhuang, Jiahui Wang, Zhaoxin Ma, Yi Ge, Weibin Zhang, Jingting Liu   +7 more
wiley   +1 more source

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan, Hamza Rauf, Aurang Zaib, J. K. Madhukesh   +3 more
wiley   +1 more source

Process Optimization of Solution Blow Spinning for Poly (N‐Isopropylacrylamide) Fibers

Journal of Applied Polymer Science, EarlyView.
Solution blow spinning has emerged as a safe and scalable technique for fabricating thermoresponsive PNIPAM fibers. The influence of key parameters on jet stability and fiber uniformity is determined through both rheological analysis and statistical process optimization. A Box–Behnken design reveals an optimized window for producing PNIPAM fibers below
Maryam Parastar, Filipe de Almeida Araujo, Uttandaraman Sundararaj   +2 more
wiley   +1 more source

Telescope imaging beyond the Rayleigh limit in extremely low SNR

New Journal of Physics
The Rayleigh limit and low signal-to-noise ratio (SNR) scenarios pose significant limitations to optical imaging systems used in remote sensing, infrared thermal imaging, and space domain awareness.
Hyunsoo Choi, Seungman Choi, Peter Menart, Angshuman Deka, Zubin Jacob   +4 more
doaj   +1 more source