Results 91 to 100 of about 1,491 (210)
Axial and Biaxial Fatigue Behavior of 6061‐T651 Cold Metal Transfer Welded Joints
ABSTRACT Lightweight aluminum structures in transportation systems are increasingly exposed to complex service loading, yet the fatigue performance of welded joints is still predominantly assessed using uniaxial data. In this work, the axial and biaxial fatigue behavior of 6061‐T651 aluminum alloy joints produced by cold metal transfer (CMT) welding is
R. Serrano, R. R. Ambriz, G. Ayoub
wiley +1 more source
The Cost of Convenience: A Hedonic Approach to Travel Time Valuation and Cost‐Benefit Analysis
ABSTRACT This paper presents a novel revealed‐preference approach to estimating the value of travel time (VTT) and calculating consumer surplus for the economic evaluation of transport infrastructure. Departing from traditional stated‐preference models, we derive time valuations by linking residential rental transactions in Greater Sydney to employment
Isaac Mann, David M. Levinson
wiley +1 more source
The main aim of this research is to investigate the effects of Brownian motion and Thermophoresis on an MHD hyperbolic tangent Williamson-Casson nanofluid passing over a stretching sheet. Through appropriate similarity transformations, non-linear partial
B Shashidar Reddy +3 more
doaj +1 more source
Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach
ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović +4 more
wiley +1 more source
Abstract Central artery stiffening increases the haemodynamic pulsations transmitted downstream towards target organs, including the brain. While recent evidence suggests that long duration spaceflight is associated with reduced common carotid artery (CCA) distensibility, cerebrovascular pulsatility has not been extensively characterized in astronauts.
Roxanne Fournier +5 more
wiley +1 more source
Inverse problems for semilinear elliptic PDE with a general nonlinearity a(x,u)$a(x,u)$
Abstract This article studies the inverse problem of recovering a nonlinearity in an elliptic equation Δu+a(x,u)=0$\Delta u + a(x,u) = 0$ from boundary measurements of solutions. Previous results based on first‐order linearization achieve this under a sign condition on ∂ua(x,u)$\partial _u a(x,u)$, and results based on higher order linearization ...
David Johansson +2 more
wiley +1 more source
ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone +3 more
wiley +1 more source
A theoretical and numerical study is conducted on nonlinear, steady-state thermal convection boundary layer flow of a magnetized incompressible Tangent Hyperbolic non-Newtonian fluid from a rotating cone to a non-Darcy porous medium.
S. Abdul Gaffar +3 more
doaj +1 more source
Trend Inflation and the Costs of Price Dispersion in a Fiscal DSGE Model
ABSTRACT Most inflation‐targeting frameworks allow for a positive trend inflation rate, yet its optimal level remains uncertain. The extended deliberation in South Africa to move from a 3%–6% target band to a 3% target (with a 1% tolerance band) illustrates this tension.
Clinton Joel, Hylton Hollander
wiley +1 more source
Advancing forward osmosis predictions: A deep learning‐based surrogate modeling approach
Abstract BACKGROUND This study presents a deep learning‐based surrogate model for the rapid and accurate prediction of forward osmosis (FO) performance under diverse operating conditions. To assess the applicability of data‐driven approaches, several machine learning models – decision tree, random forest, support vector machine, and deep neural network
Hyeon Woo Park, Woo‐Ju Kim
wiley +1 more source

