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Thermodynamic Stability Prediction of Triple Transition‐Metal (Ti−Mo−V)3C2${\rm (Ti-Mo-V)}_3{\rm C}_2$ MXenes via Cluster Correlation‐Based Machine Learning Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-25 Chayanon Atthapak, Annop Ektarawong, Teerachote Pakornchote, Björn Alling, Thiti Bovornratanaraks
The representation of atomic configurations through cluster correlations, along with the cluster expansion approach, has long been used to predict formation energies and determine the thermodynamic stability of alloys. In this work, a comparison is conducted between the traditional cluster expansion method based on density functional theory and other potential machine learning models, including decision
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R‐Vine Copulas for Data‐Driven Quantification of Descriptor Relationships in Porous Materials Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-22 Matthias Neumann, Phillip Gräfensteiner, Eduardo Machado Charry, Ulrich Hirn, André Hilger, Ingo Manke, Robert Schennach, Volker Schmidt, Karin Zojer
Local variations in the 3D microstructure can control the macroscopic behavior of heterogeneous porous materials. For example, the permittivity through porous sheets or membranes is governed by local high‐volume pathways or bottlenecks. Due to local variations, unfeasibly large amounts of microstructure data may be needed to reliably predict such material properties directly from image data. Here it
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Optimal control of a multi-scale immuno-influenza A transmission model with viral load-dependent infection Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-21 Junyuan Yang, Li Yang, Ling Xue
Influenza A is a highly contagious respiratory illness that spreads globally and results in millions of cases worldwide. The transmission rate and mortality rate of influenza in the population are determined by the load of the influenza A virus. In this study, we have developed a multi-scale immuno-influenza model considering incomplete vaccine immunity. We have calculated the basic reproduction numbers
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Semi-analytical solutions for forced and free vibration of damped fluid-conveying pipe systems based on complex modal superposition method Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-21 Jinming Fan, Yukang Yang, Xueping Chang, Yinghui Li
In this paper, the response solutions of the damped fluid-conveying pipe system with elastic torsion constraints at both ends are analyzed. The pipe system considering gyroscopic effect induced by internal flow and damping effect is a typical damped gyroscopic system. This system cannot be decoupled in the modal space by the traditional modal analysis, and then the semi-analytical response solutions
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Predictive Control Scheme for Fuel Cell Air Compressor Efficiency Enhancement with Surge‐ and Choke‐Constrained Awareness Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-21 Wangcheng Ye, Shunbin Zhong, Ying Shen, Xuezhi Zhang, Ya‐Xiong Wang
The efficiency and dynamic response of air compressors are crucial for stability and lifespan of hydrogen fuel cells. A predictive control scheme with surge‐ and choke‐constrained awareness is proposed to ensure safe and efficient operation of air compressors in this study. The proposed scheme consists of an efficiency enhancement model predictive control (EE‐MPC), and an improved active disturbance
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An Ab Initio Investigation of Ultra‐Low Thermal Conductivity in Organically Functionalized TaS2${\rm TaS}_2$ Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-21 Francesco Siddi, Antonio Cappai, Luciano Colombo, Claudio Melis
An ab initio characterization of the impact of tert‐Butyl isocyanate () functionalization on lattice thermal conductivity is presented. Such a system has been previously synthetized and experimentally charachterized, showing that the incorporation of covalently bonded on bulk leads to a dramatic in‐plane lattice thermal conductivity decrease by more than two orders of magnitudes. To elucidate these
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Experimental and numerical gust identification using deep learning models Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-18 Kayal Lakshmanan, Davide Balatti, Hamed Haddad Khodaparast, Michael I. Friswell, Andrea Castrichini
Identifying gusts and turbulence events is of primary importance for designing future gust load alleviation systems, calculating airframe load, and analysing incidents. Due to the impossibility of their direct measurement, indirect methods are used and ad hoc experiments are necessary to validate the methodology. This paper employs Convolutional Neural Network and Long Short Term Memory (CNN-LSTM)
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Fast Finite‐Time Dynamic Surface Synchronization Control for Telerobotics System with Prescribed Performance Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-18 Hang Li, Wusheng Chou
This study focuses on the fast finite‐time synchronization control problem for nonlinear telerobotics system with asymmetric time‐vary delays and uncertainties. A finite‐time prescribed performance function is incorporated into the backstepping control framework such that the synchronization error will remain within a predefined funnel boundary. To increase the rate of convergence, the selected error
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Nonlinear vibration control of interconnected functionally graded fluid-conveying pipeline Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-17 Jian Zang, Wan-Ling Zhang, Xu-Yuan Song, Zhen Zhang, Ye-Wei Zhang, Li-Qun Chen
In this study, an exploratory vibration experiment is established and an interconnected functionally graded material (FGM) pipeline system is installed. This experiment represents the first time that NiTiNOL-steel wire ropes (NiTi-ST) are applied to FGM pipeline system. And the experimental results demonstrate that the NiTi-ST has a practical vibration damping effect. Based on the experiment, a further
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Crowd Evacuation Management with Optimal Time‐Multiplexed Exit‐Choice Recommendations through Simulation Optimization Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-17 Miguel A. Lopez‐Carmona, Alvaro Paricio‐Garcia
Exit‐choice behavior significantly influences the performance of egress operations in crowded spaces. Thus, strategically issuing active exit‐choice recommendations that provide clear and concise guidance to pedestrians can help improve evacuation safety and efficiency. This study investigates how to optimally regulate pedestrian density at the exits by generating time‐multiplexed exit‐choice recommendations
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Predicting Photodetector Responsivity through Machine Learning Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-17 Amir‐Mohammad Arjmandi‐Tash, Amir Mansourian, Fatemeh Rahnemaye Rahsepar, Yaser Abdi
This study introduces a novel methodology for predicting photodetector responsivity, specifically targeting challenging materials like borophene. The synthesis of these materials faces substantial experimental complexities, necessitating reliable performance predictions before fabrication. To address this, a comprehensive approach leveraging advanced machine learning techniques, specifically artificial
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First‐Principles Investigations on Effects of B‐Site Substitution (B═Mn, Fe, and Co) on La‐Based Perovskite Oxides As Bifunctional Electrocatalysts for Rechargeable Metal–Air Batteries Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-17 Siriwimol Somdee, Meena Rittiruam, Tinnakorn Saelee, Patcharaporn Khajondetchairit, Annop Ektarawong, Soorathep Kheawhom, Björn Alling, Piyasan Praserthdam, Supareak Praserthdam
The effects of B‐site substitution (B═Mn, Fe, and Co) in La‐based perovskite oxides (LPOs); LaMnO3, LaFeO3, LaCoO3, as bifunctional electrocatalysts during oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) in metal–air batteries (MABs) under an alkaline electrolyte (pH = 13) are investigated using density functional theory (DFT). It is found that LaMnO3 exhibits higher ORR activity
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An image encryption method based on improved Lorenz chaotic system and Galois field Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-16 Xuncai Zhang, Guanhe Liu, Chengye Zou
This paper proposes an improved Lorenz chaotic system and a secure and efficient image encryption method to enhance encryption effectiveness in encrypted images. The proposed improved Lorenz chaotic system addresses the problem of applying the Lorenz chaotic system to image encryption, resulting in weak chaotic characteristics and susceptibility to reconstruction. Dynamic analysis, sensitivity analysis
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Predefined-time stabilization of stochastic nonlinear systems with application to UAVs Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-15 Lifang Qiu, Junsheng Zhao, Zong-Yao Sun, Xiangpeng Xie
The paper presents a new Lyapunov-type predefined-time stabilization control algorithm for stochastic high-order nonlinear systems with asymmetric output constraints. In contrast to stochastic finite-time and fixed-time stabilization, the average value of the settling-time function for stochastic predefined-time stabilization control is independent of both the initial value and the control factors
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Optimal long time error estimates of a second-order decoupled finite element method for the Stokes–Darcy problem Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-04-15 Liming Guo
In this paper, we propose a second-order decoupled finite element method based on lagging a part of the interfacial coupling terms for the time dependent Stokes–Darcy problem, which only need to solve two sub-physical problems sequentially. Under a modest time step restriction (physical parameters), the optimal long time error estimates are obtained both in the norm and in the norm. Numerical results
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Numerical analysis of age-structured HIV model with general transmission mechanism Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-04-15 Zhuzan Wang, Zhanwen Yang, Guoqiu Yang, Chiping Zhang
In this paper, we discuss the numerical representation of the linearly implicit Euler method for an age-structured HIV infection model with a general transmission mechanism. We first define the basic reproduction number of the continuous model, and present the stability results of the equilibriums. For the numerical process, we establish the solvability of the system and the non-negativity and convergence
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Finite-time stability of Caputo fractional fuzzy differential equations with delay in granular sense Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-04-15 Feixiang Yan, Danfeng Luo
This manuscript focuses on investigating a class of Caputo fractional fuzzy differential system with time delay. Firstly, we understand the granular form of fuzzy numbers from a novel perspective, which contains more information than the usual membership function. Subsequently, using a successive approximation approach under the granular arithmetic context, we demonstrate the existence of the solution
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New Weibull Log-Logistic grey forecasting model for a hard disk drive failures Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-13 Rongxing Chen, Xinping Xiao
Forecasting the failure of hard disk drives is important in server operation and has attracted increasing attention. However, current disk drive warning systems suffer from high false positive rates and high resource consumption when dealing with hard disk drive overall failure. Therefore, to accurately and stably predict hard disk drive overall failure, this paper develops a new Weibull Log-Logistic
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A matrix-form complex variable method for multiple non-circular tunnels in layered media Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-13 Zi Kun Ye, Zhi Yong Ai
This paper presents a matrix-form complex variable method that can predict the stress and displacement field around multiple tunnels in layered media. The proposed matrix-form method avoids complicated coefficient determinations and iterative algorithm, which effectively improves the computation efficiency. Firstly, the expressions for the stress and displacement field are given under the generalized
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Mathematical framework for snake robot motion in a confined space Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-12 Ivan Virgala, Martin Varga, Peter Ján Sinčák, Tomáš Merva, Roman Mykhailyshyn, Michal Kelemen
Snake robots have redundant kinematic structure which predetermines them for motion in rough and unstructured terrain with obstacles, narrow spaces or environments with different ground levels. Dynamic modeling of snake robots is an important element in the development of control strategies for them. This paper, deals with the dynamic model of a snake robot moving in a pipeline. The model is based
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A flexible count regression model with varying precision Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-12 Artur J. Lemonte
In this paper, we formulate mean and dispersion submodels for the class of Bell-Touchard regression models, and so we introduce the Bell-Touchard regression model with varying precision for count response variables. This regression model is, in some aspects, similar to the double generalized linear model framework, allowing for parameter interpretation in terms of the response variable in its original
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A Timoshenko-Ehrenfest beam model for simulating Langevin transducer dynamics Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-12 Yuchen Liu, Lu Trong Khiem Nguyen, Xuan Li, Andrew Feeney
The Langevin transducer is a widely used power ultrasonic device across both medical and industrial applications, from orthopaedic surgery to drilling and welding. It is a sandwich-type device which typically consists of piezoelectric ceramic rings between two metallic end-masses. The transducer is commonly operated at a particular resonant mode to deliver ultrasonic vibrations to a target structure
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Computational modeling of microalgal biofilm growth in heterogeneous rotating algal biofilm reactors (RABRs) for wastewater treatment Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-12 Gerald Benjamin Jones, Ronald C. Sims, Jia Zhao
Rotating algal biofilm reactors (RABRs) are innovative systems designed to cultivate microalgae biofilms efficiently. In this paper, we have developed a novel mathematical model to accurately capture the growth dynamics of algae biofilms within RABR. By considering the spatial heterogeneity of the RABR, we introduce a PDE-based model that addresses the spatial variations across the substratum, enabling
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Superconvergence error analysis of linearized semi-implicit bilinear-constant SAV finite element method for the time-dependent Navier–Stokes equations Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-04-12 Huaijun Yang, Dongyang Shi
In this paper, based on the scalar auxiliary variable (SAV) approach, the superconvergence error analysis is investigated for the time-dependent Navier–Stokes equations. In which, an equivalent system of the Navier–Stokes equations with three variables and a fully-discrete scheme is developed with semi-implicit Euler discretization for the temporal direction and low-order bilinear-constant finite element
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Unconditional stability and error estimates of the modified characteristics FEMs for the Micropolar Navier–Stokes Equations Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-04-12 Zhiyong Si, Yao Ji, Yunxia Wang
In this paper, the unconditional stability and optimal error estimate of the velocity, pressure and angular velocity for the modified characteristics FEMs of the unsteady Micropolar Naiver–Stokes Equations (MNSE) are presented. In this method, the nonlinear equation is linearized by the characteristic finite element method for dealing with the time derivative term and the convection term. Basing on
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One- and two-level Arrow–Hurwicz-type iterative algorithms for the stationary Smagorinsky model Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-04-12 Dan Lai, Pengzhan Huang, Yinnian He
In this article, based on finite element discretization, we propose one- and two-level Arrow–Hurwicz-type iterative algorithms for solving the steady-state Smagorinsky equations. The two-level Arrow–Hurwicz-type iterative algorithm involves solving a linearization Smagorinsky problem by the Arrow–Hurwicz-type iteration on a coarse mesh with mesh size and one Oseen-type linear problem on a fine mesh
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FK-FEM hybrid method for analysis of seismic responses in dislocated mountains Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-11 Lijia Jin, Zhenning Ba, Jisai Fu
This paper proposes a hybrid method to analyze seismic responses from the source to complex terrain. The hybrid method is based on the domain reduction idea, dividing the overall model into global domain (including the source and propagation path) and local domain (including complex terrain). For the propagation of seismic wave fields in the global domain, a frequency-wavenumber method based on the
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Mathematical modeling of an electrostatic MEMS with tilted elastomeric micro-pillars Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-11 Ahmed Hashim Kareem, Mohammad Fathalilou, Ghader Rezazadeh
The aim of this study is to develop a comprehensive mathematical model for an electrostatic MEMS (Micro-Electro-Mechanical Systems) with gap-filling tilted micro-pillars. Elastomeric pillars are used due to their high dielectric constant, resulting in a higher equivalent permittivity of the gap medium. This leads to increased sensitivity and decreased required voltage. Although this system has gained
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Seismoelectric wave propagation through a fluid-saturated porous sandwiched interlayer Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-11 Yonggang Kang, Peijun Wei, Yueqiu Li
The seismoelectric waves generated in a fluid-saturated porous interlayer and the reflection/transmission characteristics at the interfaces of sandwiched structure are studied in this paper. Aiming to describe the strong attenuation and dispersion simultaneously at seismic and sonic frequencies, a new fractional viscoelastic model for the solid skeleton is introduced to the Pride's seismoelectric coupling
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Modeling the Coupled Mass‐Heat Transport in Lennard–Jones‐Like Binary Mixtures by Approach‐to‐Equilibrium Molecular Dynamics (Adv. Theory Simul. 4/2024) Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-11 Antonio Cappai, Luciano Colombo, Claudio Melis
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Mechanochemical modeling of morphogenesis in cell polarization for budding yeast Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-10 Jun Xie, Wing-Cheong Lo
Cell polarization is a multiphysics problem resulting from coupling protein pathways and cell morphological evolution. The most common example is asexual reproduction in budding yeast through Cdc42 and septin signals. However, how the interaction between the Cdc42-septin systems and the mechanical deformation of the cell surface is not well understood. To explore the interaction, we build a three-dimensional
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Coupling of kinematics for the analysis of composite beam based on the partition of the unity method Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-10 P. Vidal, L. Gallimard, O. Polit
Within the context of composite beam structure modeling, a refined model is combined with a simpler one solely within a region of interest, aiming to enhance result accuracy. The purpose is to gain computational cost without loss of precision. For that, the Partition Unity Method (PUM) is used to ensure the continuity condition on the displacement field. A 1D refined Sinus model and a 2D approach are
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Assembly accuracy prediction method of planetary gear train considering bolt-bearing-shaft-gear coupling effects Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-10 Chu Zhang, Yunbo Hu, Ye Gu, Huimin Dong
Planetary gear train (PGT) is a complex transmission system composed of gears, shafts, bearings and bolted joints, of which the assembly accuracy affects the transmission accuracy and dynamic behavior. In this paper, a new assembly accuracy prediction method is proposed for PGT considering gear-shaft-bearing-bolt coupling effects. The new method is formulated by establishing three models for bolt assembly
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Simplified matching pursuits applied to 3D nuclear reactor temperature distribution construction Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-10 Dean Price, Majdi I. Radaideh, Brendan Kochunas
Autonomous control systems can enhance the economic viability of complex systems such as nuclear microreactors. Advanced forms of these control systems benefit from techniques for high-resolution field data reconstruction from sensor data. Basis projection methods present a useful set of methodologies for nonparametric reconstruction of these field data. In this work, high fidelity multiphysics simulations
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First train timetabling and passenger transfer routing problems in urban rail transit networks Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-10 Hao Li, Liujiang Kang, Huijun Sun, Jianjun Wu, Samuel Amihere
This paper incorporates the shortest passenger travel paths into the first train timetabling problem in urban rail transit networks. We first propose a path-based first train timetabling problem, which is formulated as a mixed-integer nonlinear programming model to reduce the travel time for passengers. To solve this model, we present a tailored branch-and-bound combined with the timetable-based Dijkstra
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Large deformation of trees in a strong wind Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-10 Peng Zhang
Understanding the dynamic response of trees to a strong wind is crucial to alleviating the damages and losses of tree forests caused by windstorms. Previous studies have elucidated small deformations of a broad range of tree species, yet mathematical models that can accurately pinpoint the location and severity of wind-induced damages are still lacking. To bridge this gap, the present work puts forward
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Energy dissipation laws of time filtered BDF methods up to fourth-order for the molecular beam epitaxial equation Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-04-10 Jiexin Wang, Yuanyuan Kang, Hong-lin Liao
This report presents the time filtered BDF- (FiBDF-) methods up to fourth-order time accuracy for the molecular beam epitaxial equation with no-slope selection. The new -order methods are developed by introducing an inexpensive post-filtering step to the variable-step BDF- methods. We show that the FiBDF- methods are uniquely solvable and volume conservative. Some novel discrete gradient structures
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Analysis of bifurcation and chaotic behavior of the micro piezoelectric pipe-line robot drive system with stick - slip mechanism Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-04-10 Jichun Xing, Chao Ning, Yuan Zhi, Ian Howard
Pipeline robots using the conventional driving mode have encountered a bottleneck in miniaturization. To address this problem, a micro piezoelectric pipeline robot based on the inertia stick-slip driving principle is proposed in this paper. The robot is well suited to the inspection needs of micro pipes. However, undesirable design parameters found during the structural optimization phase can lead
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Three-dimensional frictional contact within the framework of couple stress elasticity Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-09 Yuxing Wang, Huoming Shen, Jialing Li, Ling Wang, Juan Liu, Jing Wang, Hu Liu
This work investigates a three-dimensional size-dependent frictional contact problem of a rigid spherical punch sliding on an elastic half-space. The size-dependent material behaviors are governed by the couple stress theory, and the corresponding frequency response functions, which include two additional length-related elastic parameters, are obtained. Based on the conjugate gradient method and the
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Inverse Differential Quadrature Based Model for Static Behaviour of Variable Stiffness Curved Composite Beams Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-09 Aniket Gopa Chanda, Saheed O. Ojo, Paul M. Weaver
Recent advancements in fibre placement technologies have expanded the potential applications of variable stiffness curved composite beams in industries such as aerospace, automotive, and naval engineering. Accurate solution techniques for examining these beams, especially those composed of advanced composite materials, are indispensable. In view of this demand, this study proposes a new high-order
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A novel numerical approach for assessing the gas-liquid flow characteristics in pipelines utilizing a two-fluid model Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-09 Xiaowei Li, Ruichao Tian, Limin He, Yuling Lv, Shidong Zhou, Yaqiang Li
The accumulation of liquid condensate in the wet gas pipelines gives negative effects on the piping efficiency and flow managements. Accurate prediction of the condensate behavior is of crucial importance in the pipeline engineering. In this study, the one-dimensional two-fluid model with the stratified modeling in its source term is used to describe the gas-liquid kinetic motion along the pipe and
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Machine Learning Approach for Predicting the Hole Mobility of the Perovskite Solar Cells Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-09 Md Al Mamunur Rashid, Seul Lee, Kwang Ho Kim, Jaeoh Kim, Keunhong Jeong
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Planar quartic–quadratic fold–fold singularity of Filippov systems and its bifurcation Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-04-08 Tiago Carvalho
In this paper it is exhibited the bifurcation scenario concerning a typical singularity of planar piecewise smooth vector fields in two zones. This singularity is characterized by a quadratic contact of one vector field and a quartic contact of another vector field at the same point of the switching manifold. By means of a three parameter perturbation, we observe the presence of bifurcations like:
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Building Models in Pairs for Cross‐Verification Using SDL and DEVS Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-08 Pau Fonseca I. Casas, Cristina Ruiz Martin
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Biomechanical Finite Element Simulation of Cochlear Implant Surgical Robot Drilling Through Direct Cochlear Access Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-08 Jie Yu, Yang Zhao, Hengjia Liu, Songbo Xue, Xiao Qin, Xu Tian, Hongjian Yu, Guodong Feng, Zhiqiang Gao
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A Hybrid Neural Network‐Based Improved PSO Algorithm for Gas Turbine Emissions Prediction Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-08 Samar Taha Yousif, Firas Basim Ismail, Ammar Al‐Bazi
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Equivalent micropolar model for porous guided bone regeneration mesh: Optimum design for desired mechanical properties Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-06 A. Rezaei, R. Izadi, N. Fantuzzi
In the present work, a micropolar continuum model is adopted to homogenise a heterogeneous porous model of Guided Bone Regeneration (GBR) meshes. GBR meshes are used in dentistry as mechanical barriers to isolate and protect the area of bone loss from the surrounding tissue while allowing new bone growth. The mechanical constants of the continuum are derived based on the strain energy equivalence of
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Coupled two-dimensional model for heavily sediment-laden floods and channel deformation in a braided reach of the Lower Yellow River Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-06 Yifei Cheng, Junqiang Xia, Meirong Zhou, Zenghui Wang
It is difficult to predict the detailed morphodynamic processes induced by heavily sediment-laden floods in alluvial rives, due to the complexity in topography and the significant channel evolution rates, especially in a braided reach of the Lower Yellow River (LYR). A two-dimensional morphodynamic model using a coupled solution approach was firstly developed, with the effects of sediment concentration
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Semi-analytic modeling and experimental verification of arbitrary aero-engine complex spatial pipeline Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-06 Weijiao Chen, Ziwei Guo, Shuo Chen, Yiming Cao, Xumin Guo, Hui Ma, Bangchun Wen
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Enhancing supply chain resilience facing partial and complete disruptions: The application in the cooking oil industry Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-06 Mehdi Najafi, Hossein Zolfagharinia, Saber Rostami, Majid Rafiee
Nowadays, food supply chains are more vulnerable to disruptions due to competition, uncertain environments, and global catastrophes such as the recent pandemic. Due to the importance of addressing disruption risks, this study develops a hybrid mechanism to enhance resilience in a multi-product supply chain. The proposed mechanism improves supplier resilience in a Cooking Oil Supply Chain (COSC) network
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Optical image encryption and authentication scheme with computational ghost imaging Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-06 Zhe Guo, Su-Hua Chen, Ling Zhou, Li-Hua Gong
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A Crank–Nicolson leap-frog scheme for the unsteady incompressible magnetohydrodynamics equations Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-04-06 Zhiyong Si, Mingyi Wang, Yunxia Wang
This paper presents a Crank–Nicolson leap-frog (CNLF) scheme for the unsteady incompressible magnetohydrodynamics (MHD) equations. The spatial discretization adopts the Galerkin finite element method (FEM), and the temporal discretization employs the CNLF method for linear terms and the semi-implicit method for nonlinear terms. The first step uses Stokes style’s scheme, the second step employs the
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Finite element method for a generalized constant delay diffusion equation Commun. Nonlinear Sci. Numer. Simul. (IF 3.9) Pub Date : 2024-04-06 Weiping Bu, Sizhu Guan, Xiaohong Xu, Yifa Tang
This paper considers the finite element method to solve a generalized constant delay diffusion equation. The regularity of the solution of the considered model is investigated, which is the first time to discover that the solution has non-uniform multi-singularity in time compared with Tan et al. (2022). To overcome the multi-singularity, a symmetrical graded mesh is used to devise the fully discrete
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An adaptive fractional-order regularization primal-dual image denoising algorithm based on non-convex function Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-05 Minmin Li, Shaojiu Bi, Guangcheng Cai
In this paper, a novel non-convex fractional-order image denoising model is proposed to suppress the staircase effect produced by the TV model while maintaining a neat contour. The model combines quasi-norm and fractional-order regularization, and employs a diffusion coefficient with a faster convergence rate to preserve more image edges and details. Additionally, an adaptive regularization parameter
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Semi-analytical model of vehicle-pavement-continuous beam bridge coupled system Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-05 Jianying Ren, Meng Li, Yuhang Chen, Yu Zhang, Zhiqi Sun
At present, the highway bridge field is in a period of vigorous development, and the application of continuous beam bridges is becoming more extensive, so the related safety research is particularly important. However, there are few studies on the vehicle-bridge coupled interaction of continuous beam bridges, and the influence of pavement is not considered. In order to ensure that the theoretical research
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Stochastic analysis of an acoustic black hole piezoelectric energy harvester under Gaussian white noise excitation Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-05 Weiqi Du, Zijian Xiang, Xiaobiao Qiu
The ABH effect shows potential application in vibration energy harvesting due to its wave localization property. In this study, the stochastic response of output voltage of ABH energy harvester has been investigated under Gaussian white noise excitation. The high dimensional Fokker–Planck–Kolmogorov equation of this piezoelectric coupling systems is given by using Gaussian Expansion method and dimension
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Reliability analysis of industrial robot positional errors based on statistical moment similarity metrics Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-05 Jinhui Wu, Pengpeng Tian, Yourui Tao, Peng Huang, Xu Han
A new positional accuracy reliability analysis method of industrial robots is proposed based on the statistical moment similarity of positional error. The first-two order statistical moments of positional error at some positions are accurately obtained through the differential kinematics method to reduce the computational cost of the proposed method. In practical engineering, the statistical moments
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Vertical dynamics analysis and multi-objective optimization of electric vehicle considering the integrated powertrain system Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-05 Shuai Mo, Keren Chen, Yingxin Zhang, Wei Zhang
Integrated powertrain system, mainly composed of driving motor and reducer, is one of the excitation sources to electric vehicle vibration but is limited in coupling with the vertical vehicle dynamic in the existing research, which restricts the reliability of dynamics investigation of vehicle and integrated powertrain system. This work proposes a novel vertical dynamic model of the electric vehicle
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Improved Numerical Estimation Method for Surface Wave Attenuation on Metasurfaces Adv. Theory Simul. (IF 3.3) Pub Date : 2024-04-05 Kota Suzuki, Phuc Toan Dang, Haruki Homma, Ashif A. Fathnan, Sendy Phang, Hiroki Wakatsuchi