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Probabilistic life-cycle performance, design, maintenance, optimization, and decision-making in asphalt pavement
Get PDFStability and Chaotic Analysis of Nonlinear Fractional Model Using Novel Analytical Technique: Soliton Solutions for Wazwaz Kaur Boussinesq Equation
Get PDFThis study examines the exact solutions of the nonlinear WazwazKaur Boussinesq (NLWKB) equation in (2+ 1)-dimension by using a novel modified (G /G2)-expansion method. This examination uses BetaDerivative, M-Truncated and Conformable derivatives for finding new closed-form soliton solutions. The graphic demonstration covers some of these solutions. These visualized graphs show individual W-type, bright, and dark solitons to emphasize the effect of fractional derivatives on the behavior of waves. Furthermore, the study investigates the bifurcation analysis, chaotic dynamics, multistability, and Poincaré maps to describe the stability transitions of the system. The results illustrate how fractional calculus improves soliton modeling and nonlinear wave propagation, with possible applications in plasma physics, optical fiber communications, ion-acoustic, magneto-sound, and stationary media, and wave dynamics in complex media, and the transmission of tidal and tsunami waves. The proposed method proves to be a powerful method for solving nonlinear fractional models and examining their dynamic behavior.OPEN ACCESS Received: 12/02/2025 Accepted: 15/04/2025 Published: 30/05/202
Graph Neural Networks for Efficient Prediction of Mechanical Response in Composite Structures with Models using Unstructured Meshes
Get PDFA comparison between transformers and recurrent neural networks for non linear elastoplastic behavior in 3D micro-mechanical modeling
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Unscented Kalman filter approach for tracking physical and dynamic properties of structures: Validation for multi-story buildings under seismic excitation
Get PDFAn improved unscented Kalman filter approach is implemented to estimate induced displacements and changes in structural properties (stiffness, frequencies and damping) during the forced dynamic response of multistory buildings to seismic excitations. The methodology is validated using a fiber-based nonlinear model of a 4-story 4-bays reinforced concrete (RC) frame building subjected to a set of earthquakes causing different levels of inelastic demand on the structure. The variation of the dynamic properties is successfully estimated by iterative updating the filter parameters. The estimated peak values of stiffness and damping reached during the seismic excitation agree with peak inelastic demand values and seem appropriate for detection and damage diagnosis of RC structures
Fractional Hermite Functions: Power Series Solutions, Rodrigues Representation, and Orthogonality Properties
Get PDF T his paper develops a rigorous framework for fractional Hermite func tions using Caputo derivatives. We establish three fundamental contribu tions. First, we derive a complete power series solution to the fractional Hermite equation expressed through the basis {xkα}∞ k=0 , proving absolute convergence for all x ∈ C through careful asymptotic analysis of the coefficients. Second, we introduce and characterize both even and odd fractional Hermite functions H(α) n (x), deriving their explicit representa tions, recurrence relations, and a fractional Rodrigues-type formula that generalizes the classical case. Third, we demonstrate their orthogonality properties under the weight function wα(x) = |x|α−1e−|x|2α, obtaining exact normalization constants. The theoretical results are supported by comprehensive graphical analysis showing the systematic deformation of classical Hermite polynomial features as α varies. These developments provide new tools for fractional spectral methods and advance the under standing of orthogonal function systems in fractional calculus
Numerical Simulation of the Influence of Different Opening Parameters on the Flexural Performance of Fixed Open-Web Steel Beams
Get PDFBased on the ABAQUS finite element analysis software platform, this study investigated the effects of opening parameters, including end distance, opening rate, and opening distribution, on the flexural performance of fixed open-web steel beams. The results indicate that an open-web steel beam with fixed support exhibits a flexural shear failure mode, which initiates yielding at the hole corners in the flexural shear zone. As the load increases, the plastic zone progressively extends to the flange, ultimately forming a four-hinge plastic mechanism around the hole. Specifically, a mid-span hole reduces the flexural performance by approximately 10%, while an end hole reduces it by approximately 47%. It is recommended that mid-span openings with end distances no less than 1.75 times the beam height be prioritized in engineering design. Additionally, the flexural performance of fixed open-web steel beams decreases as the opening rate increases. Optimizing the opening geometry by reducing its length-toheight ratio under invariant opening ratio conditions provides a more than doubled flexural capacity gain, offering practical insights for beam design.OPEN ACCESS Received: 25/02/2025 Accepted: 24/03/2025 Published: 14/07/202
Process monitoring of aeronautical-graded materials using fiber optics sensors during liquid resin infusion: study on scalability methods
No full textThe main objective of the FLASH-COMP project is to develop an advanced and efficient quality control solution, operator oriented, capable of detecting defects early and accurately during the manufacturing process. This facilitates the implementation of in-situ corrective actions, aiming to achieve a zero-defect Liquid Resin Infusion (LRI) manufacturing process while significantly, reducing waste generation in composite material production. FLASH-COMP seeks to introduce new diagnostic methods that enable real-time process monitoring, providing relevant information during the process without compromising performance or the quality of the final component. Two embedded fiber optic sensor technologies are used: Fiber Bragg Grating (FBG) and Distributed All Grating (AGF), which are combined to collect process data during the preforming and resin infusion stages. Both technologies are integrated into a complex-geometry component to monitor different critical areas simultaneously. These technologies generate valuable process data, requiring an optimal strategy of sensor positioning, that can adapt to abrupt geometric changes without compromising sensor integrity or component quality. Both sensor technologies provide relevant information related to vacuum level and leaks, temperature, resin impregnation and part curing. This type of sensor requires prior training of the operator for its correct handling and analysis of the data generated. New strategies for manipulating sensors are proposed to facilitate their manipulation on an industrial scale