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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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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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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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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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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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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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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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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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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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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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Forecasting model for hypoid gear elastohydrodynamic lubrication considering entrainment effect Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-04 Han Ding, Longyi Li, Hongping Li, Kaibin Rong, Jinyuan Tang
In full consideration of time-varying meshing performance and oil film characteristics, entrainment effect on elastohydrodynamic lubrication (EHL) is developed for establishing accurate forecasting model of the complex hypoid gears. Firstly, dynamic loaded tooth contact analysis (DLTCA) is employed to determine the meshing interface kinematics, load distribution and entrainment speed under dynamic
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Finite-time command filtered electro-hydraulic system position control with dead zone Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-03 Shuai Jiang, Haikuo Shen, Chao Cheng
This article proposes an improved adaptive finite time command filtered controller for high-precision motion control of electro-hydraulic servo systems. During the controller design process, the effects of parameter uncertainty, unmodeled disturbances, and dead zone uncertainty in the system are effectively addressed by integrating parameter adaptive laws and disturbance estimation laws. By extending
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A high-resolution meshfree particle method for numerical investigation of second-order macroscopic pedestrian flow models Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-03 Somnath Maity, S. Sundar, Jörg Kuhnert
Recent advancements in empirical observations of human psychological responses have revealed that the governing rules of human behavioral aspects can not only be predicted with adequate deterministic precision but also forged into mathematical formulations. These modeling studies enable crisis managers with reliable simulation tools to gain insights into critical facets of crowd disasters and enhance
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Reduced-order models of wall shear stress patterns in the left atrial appendage from a data-augmented atrial database Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-03 Jorge Dueñas-Pamplona, Sergio Rodríguez-Aparicio, Alejandro Gonzalo, Savannah F. Bifulco, Francisco Castro, Conrado Ferrera, Óscar Flores, Patrick M. Boyle, José Sierra-Pallares, Javier García García, Juan C. del Álamo
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, affecting over 1% of the population. It is usually triggered by irregular electrical impulses that cause the atria to contract irregularly and ineffectively. It increases blood stasis and the risk of thrombus formation within the left atrial appendage (LAA) and aggravates adverse atrial remodeling. Despite recent efforts, LAA
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Modeling the mechanical behavior of rock during plastic flow using fractional calculus theory Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-03 Toungainbo Cédric Kamdem, Kol Guy Richard, Tibi Béda
A thorough understanding of the evolution of strain and damage accumulation is a prerequisite for effective control of the surrounding rock to ensure good stability and better maintenance of underground structures. In this work, we have proposed a new way of adjusting the fractional order to obtain a new variable fractional order rheological model to describe the evolution of mechanical properties
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An analytical investigation into solute transport and sorption via intra-particle diffusion in the dual-porosity limit Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-03 Lucy C. Auton, Maria Aguareles, Abel Valverde, Timothy G. Myers, Marc Calvo-Schwarzwalder
We develop a mathematical model for adsorption based on averaging the flow around, and diffusion inside, adsorbent particles in a column. The model involves three coupled partial differential equations for the contaminant concentration both in the carrier fluid and within the particle as well as the adsorption rate. The adsorption rate is modelled using the Sips equation, which is suitable for describing
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Collaborative optimization of passenger flow control and bus-bridging services in commuting metro lines Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-03 Xiangjiang Li, Yahan Lu, Lixing Yang
With the advantages of high speed and punctuality, urban rail transit has become the preferred choice for many commuters. However, overcrowding of urban rail transit lines during peak hours is a common problem in megacities owing to the excessive passenger demand. To address this problem, this study proposes an integrated optimization method that combines passenger flow control and bus-bridging services
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A finite deformation phase field model for electromechanical fracture of flexible piezoelectric materials Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-04-02 Shihao Lv, Bingyang Li, Qiang Zhang, Yan Shi, Cunfa Gao
Fracture failure is a major concern in mechanical engineering, particularly for piezoelectric materials. In contrast to other numerical methods, phase field method has significant advantages in addressing fracture progress. It can automatically track crack surfaces through ordered parameter evolution, which is versatile for modeling complex fracture behaviors. However, previous studies on phase field
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Thermomechanical problem of functionally graded spherical shells based on homogenization schemes: Data-driven volume fraction optimization with material uncertainties Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-30 Jun Xie, Pengpeng Shi, Hui Li, Fengjun Li
Mechanical analysis and optimal design for functionally graded materials (FGMs) structures are significant. The present paper analyzes the parameter uncertainties problem for the thermomechanical response of the FGMs spherical shells with volume fraction power distribution. Here, the interval random uncertainty model is recommended to describe the uncertainties of each component of material parameters
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Torsional vibration suppression for a high-damped rotor using dynamic vibration absorber based on weighted dual estimation of equivalent linearization techniques Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-30 Vu Duc Phuc, Phan Ngoc Tuan, Van – The Tran
In the rotating systems, the torsional vibration of damped rotors usually appears and induces the imbalance of systems. The dynamic vibration absorber (DVA) is used for reducing the torsional vibration of damped rotors. Recent researches have shown that traditional methods are suitable for reducing the torsional vibration of weak damped rotors. However, the traditional methods will cause significant
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Nonlinear closed-form model for beam flexures subject to large axial loads Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-29 Ruiyu Bai, Bo Li, Guimin Chen
Closed-form models are important because they offer more design insights, require less computing time and prevent convergence problems in modeling compliant mechanisms. However, most of the available closed-form models, e.g., beam constraint models, are only appropriate for beam flexures within the intermediate deflection range. In this paper, a method for developing closed-form models based on the
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Accelerated process parameter selection of polymer-based selective laser sintering via hybrid physics-informed neural network and finite element surrogate modelling Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-28 Hao-Ping Yeh, Mohamad Bayat, Amirhossein Arzani, Jesper H. Hattel
The state of the melt region as well as the temperature field are critical indicators reflecting the stability of the process and subsequent product quality in selective laser sintering (SLS). The present study compares various simulation models for analyzing melt pool morphologies, specifically considering their complex transient evolution. While thermal fluid dynamic simulations offer comprehensive
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An efficient partitioned framework to couple Arbitrary Lagrangian-Eulerian and meshless vector form intrinsic finite element methods for fluid-structure interaction problems with deformable structures Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-28 Yan Zhang, Deshen Chen, Hongliang Qian, Zhen Chen, Feng Fan, Boo Cheong Khoo
The Vector Form Intrinsic Finite Element (VFIFE) is an advanced meshless Lagrangian structural solver. This study introduces a partitioned framework to integrate Arbitrary Lagrangian-Eulerian and VFIFE methods into fluid-structure interaction (FSI) problems featured by large structural displacements and deformations. The VFIFE method enables the FSI simulations with deformable structures due to the
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Couple-stress elasticity of intrinsic and extrinsic dislocations in three-dimensional multilayered materials Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-27 A. Vattré, E. Pan
This work investigates the influence of couple stresses on intrinsic and extrinsic dislocations within three-dimensional heterogeneous multilayered structures. The materials consist of orthotropic and dissimilar layers with different elastic properties, incorporating the microstructural lengths from a special version of the anisotropic couple-stress elasticity. Double Fourier series expansions are
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Fractional guidance-based level set evolution for noisy image segmentation with intensity inhomogeneity Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-27 Yu Wang, Chuanjiang He
Intensity inhomogeneity (IIH) and noise are ubiquitous in images acquired by a variety of imaging modalities, which pose an ongoing challenge for segmentation methods used in many applications. This paper proposes a level set evolution equation based on fractional derivative to address the IIH and noise issues in image segmentation, which integrates the information from the input and guidance images
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Analysis of the most probable exit path in the synthetic gene network with genetic toggle Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-27 Zhuqin Guo, Wei Xu, Wenting Zhang, Lizhi Niu
In this paper, the most probable exit path is applied to understand the switching of a bistable synthetic gene network with genetic toggle in Escherichia coli from a new perspective. It is worth mentioning that the most probable exit path is a deterministic indicator for researching stochastic system, and its role is analogous to the phase diagram and time history diagram of deterministic system. Firstly
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Enhancing wildfire propagation model predictions using aerial swarm-based real-time wind measurements: A conceptual framework Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-26 Mohammad Tavakol Sadrabadi, Mauro Sebastián Innocente
The dynamic behaviour of wildfires is mainly influenced by weather, fuel, and topography. Based on fundamental conservation laws involving numerous physical processes and large scales, atmospheric models require substantial computational resources. Therefore, coupling wildfire and atmospheric models is impractical for high resolutions. Instead, a static atmospheric wind field is typically input into
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Fractional structure and texture aware model for image Retinex and low-light enhancement Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-25 Chengxue Li, Chuanjiang He
This paper proposes a fractional structure and texture aware Retinex (FSTAR) model for image decomposition with application to low-light enhancement. First, a novel structure aware measure called Maximum Fractional Difference (MFD) is introduced, which is the maximum of fractional differences of the input image in eight symmetric directions. Then fractional structure and texture aware maps are built
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Logistic model for pattern inference of subway passenger flows based on fare collection and vehicle location data Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-22 Chunya Li, Shifeng Xiong, Hui Xiong, Xuan Sun, Yong Qin
With large volume of passengers boarding and alighting through subway platforms, the stations are getting crowded, resulting in drops in the level of service and safety concerns, especially for subway systems operating at capacity during peak hours. Thus, it is crucial for subway agencies to sense changes in travel demand and adjust their management schemes accordingly. In this paper we propose a statistical
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Parameter influence analysis of stochastic resonance and stochastic P-bifurcation for the shape-memory alloy laminate Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-20 Ying Hao, Kun Xu
This paper investigates the transverse vibration of an axially moving shape-memory alloy (SMA) fiber hybrid laminations under the combined action of transverse harmonic excitation and stochastic disturbance. Considering the shape memory alloy (SMA) fiber volume fraction random field, the kinetic energy and strain potential energy of SMA laminates are solved, and the axial motion equation of SMA laminates
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Elastic instabilities of soft laminates with stiffening behavior Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-20 Qi Yao, Nitesh Arora, Dean Chen, Yuhai Xiang, Stephan Rudykh
This paper investigates the elastic instability behavior in soft periodic laminates subjected to finite strains, with a focus on both macroscopic and microscopic instabilities. Considering the deformation-induced phase stiffening, the Gent model with a high bulk-to-shear modulus ratio describes the behavior of incompressible phases. This non-Gaussian statistics-based model captures the non-linear constitutive
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Theoretical modeling and dynamics analysis of a rotating piezoelectric laminated beam with different setting angles Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-20 Yuanzhao Chen, Haocheng Liu, Xian Guo, Dingguo Zhang, Liang Li, Jian Li
Dynamics modeling and analysis of a rotating piezoelectric laminated beam (RPLB) considering the effect of the setting angle is presented in this paper. The rotating piezoelectric energy harvester can be simplified as a RPLB which is fixed at a rotating hub. It is easy to know that a steady transversal deformation would be produced due to the transversal component of centrifugal force when the beam
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Kinematic modeling and simultaneous calibration for acupuncture robot Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-20 Chi Zhang, Yu Han, Wanquan Liu, Jianqing Peng
Acupuncture robot is a new-era product combining traditional acupuncture and cutting-edge technology. The calibration of the vision system and the acupuncture mechanism is a crucial prerequisite for humanoid acupuncture control, which has not yet been explored. In this paper, a simultaneous offline calibration method is proposed for acupuncture robots. Analysis reveals that its calibration problem
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Thermal analysis of a perforated laminated plate with multiple random elliptical holes by specially formulated finite elements Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-19 Wan-Qing Lin, Junqi Chen, Yongpeng Lei, Hui Wang, Qinxi Dong
The high-efficient and accurate analysis of anisotropic composite media weakened by a large amount of holes or cuts is still a great challenge in practical composite engineering. In this work, specially-proposed polygonal finite element enclosing an arbitrarily oriented elliptical hole in general anisotropic composite media is formulated for thermal analysis in the framework of hybrid finite element
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Global dynamics of an epidemic model with a two-threshold policy Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-19 Yue Zhang, Jian Zu, Xiaodan Sun
This work proposes a non-smooth epidemic model with a two-threshold control strategy. Under the two-threshold policy, social distancing is suggested when the infection level exceeds a certain threshold, and contact tracing is implemented and isolation rate is improved when the infection level exceeds a higher threshold. The global dynamics of the non-smooth system is investigated and it reveals that
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Coupled bandgaps and wave attenuation in periodic flexoelectric curve nanobeams Appl. Mathmat. Model. (IF 5.0) Pub Date : 2024-03-19 Shanhong Lin, Qiang Han, Chunlei Li
Curve beams are widely used in structural engineering like civil engineering and aircraft structures. Due to their coupling effects of bending, shear, and torsion, curve beams have a significant role in wave propagation fields as complete bandgaps can be generated. With the miniaturization of devices, it becomes increasingly imperative to investigate wave characteristics of curve beams at the nanoscale