Results 31 to 40 of about 13,303,652 (245)

Computational analysis of contamination in Kojima Lake using upwind-type finite element method [PDF]

, 1998
We have computed the phase of spreading contaminations in Kojima Lake by using the upwind-type finite element method. We have treated the two cases: the pollutant flows from the Sasagase river and from the Kurashiki River.
Sasaki, Toru, Ishikawa, Hirofumi, Kajiwara, Tsuyoshi   +2 more
core   +1 more source

A Stochastic Wavelet Finite Element Method for 1D and 2D Structures Analysis

Shock and Vibration, 2014
A stochastic finite element method based on B-spline wavelet on the interval (BSWI-SFEM) is presented for static analysis of 1D and 2D structures in this paper. Instead of conventional polynomial interpolation, the scaling functions of BSWI are employed
Xingwu Zhang, Xuefeng Chen, Zhibo Yang, Bing Li, Zhengjia He   +4 more
doaj   +1 more source

Stochastic Finite Element Analysis of Plate Structures Considering Spatial Parameter Random Fields

Mathematics, 2023
For plate structures, their random parameters can be regarded as a two-dimensional random field in the plane. To solve the plate theory considering a two-dimensional random field, an efficient strategy for the stochastic finite element method was adopted.
Yan Yang, Fang-Wen Ge, Xiang Liu
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Multi-element stochastic reduced basis methods [PDF]

, 2007
This paper presents mutli-element Stochastic Reduced Basis Methods (ME-SRBMs) for solving linear stochastic partial differential equations. In ME-SRBMs, the domain of definition of the random inputs is decomposed into smaller subdomains or random ...
Surya Mohan, P., Andy J. Keane, Keane, Andy J., Prasanth B. Nair, P. Surya Mohan, Nair, Prasanth B.   +5 more
core   +1 more source

Development of a software platform for bridge modal and damage identification based on ambient excitation

High-Speed Railway, 2023
Modal and damage identification based on ambient excitation can greatly improve the efficiency of high-speed railway bridge vibration detection. This paper first describes the basic principles of stochastic subspace identification, peak-picking, and ...
Jiahuan Li, Li Zhu, Wenyu Ji, Sunfeng You   +3 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Vibrations And Deformations Of Moderately Thick Plates In Stochastic Finite Element Method

Transactions of the VŠB: Technical University of Ostrava, Civil Engineering Series, 2015
The paper deals with some chosen aspects of stochastic dynamical analysis of moderately thick plates. The discretization of the governing equations is described by the finite element method.
Grzywiński Maksym, Pokorska Iwona, Poński Mariusz   +2 more
doaj   +1 more source

Galerkin Finite Element Approximation of a Stochastic Semilinear Fractional Wave Equation Driven by Fractionally Integrated Additive Noise

Foundations, 2023
We investigate the application of the Galerkin finite element method to approximate a stochastic semilinear space–time fractional wave equation. The equation is driven by integrated additive noise, and the time fractional order α∈(1,2).
Bernard A. Egwu, Yubin Yan
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source