Results 111 to 120 of about 5,197,338 (238)

Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 14, Page 3714-3731, November 2026.
ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su   +2 more
wiley   +1 more source

Some notes on rayleigh distribution [PDF]

open access: yes, 1975
In  this paper, we emphasize some aspects concerning the Rayleigh distribution. After a brief presentation of the literature devoted to this variable, we give a characterization of the Rayleigh distribution by using a Gercbach idea (1967).
Curelaru, L., Voda, V. Gh.
core  

Non‐Central Wishart Random Matrices in Structural Dynamics: A Modal‐Basis Approach

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 20, 30 October 2026.
ABSTRACT This article develops a non‐parametric stochastic computational model for linear structural dynamics based on a reduced non‐central Wishart (NCW) random matrix formulation. The objective is to represent uncertainty in the mass and stiffness matrices while preserving the matrix properties required for modal and frequency‐domain analysis ...
Alan Das Mannoosseril   +2 more
wiley   +1 more source

A note on derivation of the generating function for the right truncated Rayleigh distribution

open access: yesApplied Mathematics Letters, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

A Multi‐Domain System‐Level Framework for Floating Photovoltaic Systems With Comparative Analysis of Thermal Configurations

open access: yesSolar RRL, Volume 10, Issue 19, 15 October 2026.
A modular multi‐domain framework couples electrical and thermal subsystems to simulate floating photovoltaic performance. Four configurations, pairing two electrical (EF, PMPP) and two thermal (MLTM, FDM) models, are validated against Orlando OEDI field data.
Oreoluwa Lawale   +2 more
wiley   +1 more source

Wavelength‐Multiplexed 2D Beam Steering via a Passive Diffractive Network

open access: yesAdvanced Optical Materials, Volume 14, Issue 37, 9 October 2026.
Illustration of a wavelength‐multiplexed diffractive beam steering system, which is composed of K cascaded diffractive layers, each containing phase‐modulating elements that are jointly optimized using deep learning–based optimization. When illuminated with a set of wavelengths {λ1,λ2,…,λNw}$\{ {{{\lambda }_1},{{\lambda }_2},\ldots ,{{\lambda }_{{{N}_w}
Che‐Yung Shen   +5 more
wiley   +1 more source

Acceptance sampling based on truncated life tests for generalized Rayleigh distribution

open access: yes, 2009
This paper considers the problem of an acceptance sampling plan for a truncated life test when the lifetime follows the generalized Rayleigh distribution.
Tzong-Ru Tsai   +2 more
core   +1 more source

Properties of Generalized Rayleigh Distributions

open access: yesThe Annals of Mathematical Statistics, 1963
Blumenson, L. E., Miller, K. S.
openaire   +3 more sources

Intelligent Distributed Optical Fiber Sensing in Transportation Infrastructures: Research Progress, Applications, and Challenges

open access: yesAdvanced Photonics Research, Volume 7, Issue 10, October 2026.
Distributed optical fiber sensing (DOFS) is reviewed as a transformative technology for intelligent monitoring of transportation infrastructures. Advances in sensing fibers, cable design, and data analytics are summarized alongside representative field applications.
Xin Gui   +11 more
wiley   +1 more source

Economic Reliability Acceptance Sampling Plans for Generalized Rayleigh Distribution

open access: yes, 2008
In this paper, a reliability acceptance plan is developed assuming that the lifetime of a product follows the generalized Rayleigh distribution with known value of the shape parameter.
Muhammad Aslam
core   +1 more source

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