Active tuning of vibration bandgap in immersed thin plates: A numerical analysis

Numerical analysis and performance optimization of a solar photovoltaic–electrolyzer system with hybrid nanofluid-based cooling for sustainable hydrogen production

Computational and machine learning approach for nanoparticles-enhanced bio-heat transport with coupled effects of interparticle spacing and particles radius.

Experimental and numerical analysis on thermal performance of a V-shaped water-cooled heat pipe heat sink for data center server-based indirect liquid cooling system

Effect of Sugarcane Bagasse Ash on the sustainable performance of hot-mix asphalt: A case study of experimental and numerical analysis

This study examines the Portevin-Le Chatelier (PLC) effect in the nickel-based superalloy Inconel 718 through a combined experimental-computational approach using statistical indicators from nonlinear dynamical systems theory. We develop a finite element model incorporating the Kubin-Estrin-McCormick constitutive law to capture Dynamic Strain Ageing effects, accounting for machine stiffness influence, and reproduce various dynamics under both hard and soft loading conditions. Statistical analysis reveals that machine stiffness significantly affects serration morphology and dynamics, influencing mean amplitudes, stress drop periods, and dynamical indicators such as the correlation dimension and Lyapunov exponents. Comparison of simulated and experimental stress time series demonstrates chaotic behaviour for type B and C serrations across all strain rates, with no evidence of self-organized criticality in experimental data. However, simulations predict self-organized criticality at high strain rates corresponding to type A bands, consistent with literature references. Statistical indicators reveal power-law behaviour for stress drop amplitudes as a function of strain rate, with critical exponents dependent on band type. Multifractal analysis shows that simulations overestimate complexity relative to experimental observations, suggesting the need for additional internal variables and finer-scale dynamics in modelling. Additionally, multifractal analysis of spatio-temporal diagrams reveals power-law distributions of plastic strain rates with consistent critical exponents across all strain rates, demonstrating its potential for characterizing PLC spatio-temporal dynamics. Statistical, dynamical, and multifractal indicators show consistent correlations, collectively capturing transitions between serration regimes and serving as reliable quantitative metrics for characterizing PLC dynamics. The analysis is finally applied to the spatio-temporal strain fields measured by digital image correlation. The results demonstrate the value of multi-indicator analysis for assessing the agreement between experiment and simulation and subsequently improving constitutive model parameter identification. • FEM model of spatiotemporal PLC effects in Inconel 718, including machine stiffness. • Stabilised PLC model capturing negative strain rate sensitivity. • Serrations dynamics assessed via statistical, dynamical and multifractal indicators. • Remarkable agreement is found between the simulated and experimental statistics. • Multifractal analysis of strain-rate fields enabling classification of band types.

Numerical and experimental analysis of grid fin aerodynamic performance for China's next generation LOX/LCH4 reusable launch vehicle ZQ-3

Integrated Numerical and Experimental Analysis of Sand–Crumb Rubber Layer Performance in Machine Foundations

Holidays in the United States can be quite deadly, with more than 500 traffic fatalities on a given holiday. Another uniquely dangerous period is the annual spring break for college students, which starts at the end of February and continues through the first week of April. Although spring break is not a phenomenon across the entire United States, it is especially popular in certain hotspots. In this study, we focus on Florida, the state with the highest number of spring break hotspots in the country. We analyze weekly county-level crash data from the Florida Department of Highway Safety and Motor Vehicles that provides information on all motor vehicle crashes (whether fatal or not) reported to law enforcement. We compare the estimates for fatal and nonfatal traffic injuries during spring break to those during the holiday period between Thanksgiving and New Year's Day. While both periods are similar in terms of fatalities, the spikes in nonfatal injuries are more pronounced during spring break. Subgroup analyses provide additional insight. Numerous robustness checks and sensitivity analyses confirm the core findings.

Numerical analysis of subsurface fatigue cracks in case-hardened steel bevel gears

Three-dimensional numerical analysis of the stability of slopes reinforced by realistic root system architecture

Numerical analysis of stochastic Volterra equations with singular kernels via the Euler-Maruyama scheme and large deviations

Numerical analysis of pressure correction method in conjunction with modular Grad-Div stabilization for the diffusion peterlin viscoelastic fluid model

Numerical analysis of heat transfer enhancement using nanoaerosol gas in an elbowed shell-and-tube heat exchanger under high-temperature gas-cooled nuclear reactor conditions

A novel adaptive global-local multiscale damage numerical analysis method of large-size CFRP structure based on nonlinear criterion

• Extension of the ASRF/Vasicek framework to credit portfolios containing two exogenous classes of loans (green and brown), allowing distinct return distributions and correlation structures within a unified asymptotic model. • Incorporation of skew-normal borrower return dynamics, providing a flexible structural mechanism to model empirically documented asymmetries in log-returns while preserving analytical tractability. • Generalization of Vasicek’s convergence result to heterogeneous portfolios with nonuniform exposures, including empirically motivated power-law concentration structures. • Integration of Green Loan Principles (GLP) as the practical basis for loan-type classification, clarifying the financial rationale for distinguishing green and brown exposures. • Scenario-based numerical analysis illustrating loss distributions, sensitivity to key parameters (PDs, correlations, skewness), and the impact of portfolio composition under realistic concentration patterns. • Assessment of robustness of the extended ASRF formula by comparing asymptotic results to finite-portfolio simulations under heterogeneous and skewed structural specifications. • Methodological contribution with regulatory relevance, showing how a green-brown differentiation could be embedded in the ASRF architecture once borrower-level data become available. Inspired by the classical Vasicek approach to credit risk, we propose an extended model for portfolios composed of green and brown loans, widening the Asymptotic Single Risk Factor framework via a two-factor copula structure. Systematic risk is modeled using potentially skewed distributions, allowing for asymmetric creditworthiness effects, while idiosyncratic risk remains Gaussian. Under a non-uniform exposure setting, we establish convergence in quadratic mean of the portfolio loss to a limit reflecting the distinct characteristics of the two loan segments. Numerical results confirm the theoretical findings and illustrate how value-at-risk is affected by portfolio granularity, default probabilities, factor loadings, and skewness. Our model accommodates differential sensitivity to systematic shocks and offers a tractable basis for further developments in credit risk modeling, including granularity adjustments, collateralized default obligations pricing, and empirical analysis of green loan portfolios.

Inventory theory often assumes that demands during out-of-stock periods are backordered, although lost demands are arguably more realistic, especially in retail settings. This is, to a large extent, due to the fact that lost-sales systems are harder to analyse, especially if multiple orders can be outstanding. This paper considers the classic single-item, single-location, continuous review (R, Q) inventory model with lost sales under a cost minimization objective, where reorder level R is optimized given a fixed order quantity Q. Using approximation procedures, we derive a near-optimality condition that can be used to determine the reorder level. This can be seen as a modification and generalisation of the near-optimality condition presented by Hadley and Whitin (1963, Eq. (4-22)). A numerical analysis for a considerable set of instances shows that the new near-optimality condition outperforms that of Hadley and Whitin (1963), reducing the cost gap vs. the optimal solution from 0.12% to 0.01% under the assumptions of smooth demand (i.e. continuous or unit-sized demand) and at most a single order outstanding, and from 0.32% to 0.08% over all considered instances, including ones with multiple orders outstanding and lumpy demand. We also compare to settings where the cost expression uses the loss functions by Rosling (2002). This is optimal under the mentioned assumptions and has a cost gap of 0.24% over all considered instances. Since the conditions and the complex cost expression by Rosling (2002) are not easy to implement in real life, we also test simpler approximations based on Hadley and Whitin’s (1963) and the New near-optimality condition that take the quantile of a Normal distribution. These have cost gaps to the optimal solution of 0.71% and 0.32%, respectively.

Numerical analysis of thermophoretic pollutant deposition in chemically reactive radiative magnetohydrodynamic TiO₂ nanofluid flow over a permeable howarth wavy cylinder with heat generation

Numerical analysis of gas-liquid flow dynamics in metal powder production by gas atomization

Advanced numerical analysis and hydrodynamic optimization of salt separation in supercritical water desalination