Influence of Thermal Boundary Conditions on Heat Transfer in Turbulent Annular Pipes
ABSTRACT Turbulent concentric annular pipe flow with heat transfer is investigated using the stochastic one‐dimensional turbulence (ODT) model. In the present study, annular pipe flow is investigated at fixed bulk Reynolds number ReDh=17700$\mathit {Re}_{D_{\rm h}}=17\,700$ and Prandtl number Pr=0.71$\mathit {Pr}=0.71$ using two different thermal ...
Pei‐Yun Tsai +2 more
wiley +1 more source
On the Computation of Crack Surface Normals in the Phase‐Field Model of Hydraulic Fracture
ABSTRACT Hydraulic fracturing techniques have been used to extract oil from the Earth's crust and to enhance the efficiency of geothermal systems among other applications. Numerical simulation of hydraulic fracturing is essential for predicting the environmental impact of this method, as well as its efficiency in such applications. In the present work,
Anuj Gupte +2 more
wiley +1 more source
Effects and Correction of Patient Bulk Motion in Cranial DENSE MRI. [PDF]
Doctor CA +4 more
europepmc +1 more source
Global Graph Surrogates and Neural Graph Elements for Computational Mechanics
ABSTRACT Machine learning surrogates are increasingly used to accelerate physics‐based simulations by predicting full‐field responses at a fraction of the computational cost. In this contribution, we present two complementary graph‐based approaches for surrogate modelling in computational mechanics.
Rutwik Gulakala, Marcus Stoffel
wiley +1 more source
Selected Methods for Designing Monetary and Fiscal Targeting Rules Within the Policy Mix Framework. [PDF]
Przybylska-Mazur A.
europepmc +1 more source
LPV Updates for Sequentially Linearized Moving Horizon Estimation of Nonlinear Systems
ABSTRACT Moving horizon estimation (MHE) provides high‐precision state estimation for nonlinear systems, but it is often limited by the substantial computational demands of solving a nonlinear optimization problem at every sampling step. To address this issue, we develop an efficient MHE scheme based on linear parameter‐varying (LPV) formulation, where
Jiaxin Ji +3 more
wiley +1 more source
Novel Bernstein‐Kantorovich Type Operators
ABSTRACT In this paper, we introduce a novel class of Bernstein‐Kantorovich operators, denoted as K β n , θ $$ {K}_{\beta}^{n,\theta } $$ , parameterized by 0 < β < 1 $$ 0<\beta <1 $$ and θ > 0 $$ \theta >0 $$ . We first derive a recurrence formula that facilitates the computation of moments and central moments and provide explicit expressions for K β ...
Pembe Sabancigil, Nazim I. Mahmudov
wiley +1 more source
A novel discrete zeroing neural network for online solving time-varying nonlinear optimization problems. [PDF]
Song F, Zhou Y, Xu C, Sun Z.
europepmc +1 more source
Control Design Based on Generalized Lur'e Lyapunov Functions for Sampled‐Data Lur'e Systems
ABSTRACT This article addresses the synthesis of stabilizing control laws for aperiodic sampled‐data Lur'e systems. Based on a hybrid system representation of the closed‐loop system and a timer‐dependent generalized Lur'e–Postnikov type Lyapunov function, stabilization conditions are obtained by separating decision variables with the application of two
Arthur Scolari Fagundes +2 more
wiley +1 more source

