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Formulation based on combined loading function strategy to improve the description of the bi-modularity of quasi-brittle material degradation with multiple damage evolution laws Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-24 Guilherme Ribeiro Caetano, Samuel Silva Penna
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On the multi-objective perspective of discrete topology optimization in fluid-structure interaction problems Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-28 Anderson Soares da Costa Azevêdo, Shahin Ranjbarzadeh, Rafael dos Santos Gioria, Emílio Carlos Nelli Silva, Renato Picelli
Fluid-structure interaction is a challenging topic that addresses fluid and solid physics, as well as the stress coupling between them. Traditional topology optimization methods are performed with coupling load interpolation schemes in order to have some information on fluid flow sensitivity analysis and improve compliance minimization into design-dependent problems. In this paper, we propose a strategy
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Mathematical modelling of debris flow-boulder-barrier interactions using the Coupled Eulerian Lagrangian method Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-28 Shiyin Sha, Ashley P. Dyson, Gholamreza Kefayati, Ali Tolooiyan
The impact load of boulders transported by debris flow is crucial in designing protective structures constructed along the potential flow paths. In this study, the Coupled Eulerian-Lagrangian (CEL) method is applied to establish a three-dimensional model for analysing debris flow, boulders, and barrier interactions in various scenarios, with an Australian rivulet serving as a case study. The proposed
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Optimizing Breast Cancer Treatment Using Hyperthermia: a Single and Multi-Objective Optimal Control Approach Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-27 Fran Sérgio Lobato, José Eduardo Alamy Filho, Gustavo Barbosa Libotte, Gustavo Mendes Platt
In recent decades, the study and development of numerical strategies for cancer treatment have become increasingly feasible, thanks to the advancement of numerical techniques and the increased availability of higher-performance computers. This has enabled researchers to tackle more complex and realistic problems associated with cancer treatment. Among the deadliest types of carcinomas, breast cancer
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Electromechanical coupling dynamics for a novel non-resonant harmonic piezoelectric motor Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-25 Chong Li, Kang Liang, Wei Zhong, Jiwen Fang, Jichun Xing
Most of the traditional piezoelectric motors are driven by the resonance of piezoelectric ceramics and can achieve a large output torque. However, these motors also have the defects of high speed and difficulty to adjusting the speed when working. To overcome these issues, a novel non-resonant harmonic rotary piezoelectric motor operating at low speed is presented. Electromechanically coupled vibration
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Nonlinear torsional buckling of corrugated core sandwich toroidal shell segments with graphene-reinforced coatings in temperature change using the Ritz energy method Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-23 Thuy Dong Dang, Thi Kieu My Do, Minh Duc Vu, Ngoc Ly Le, Tho Hung Vu, Hoai Nam Vu
An investigation on the nonlinear torsional buckling of corrugated core sandwich toroidal shell segments with functionally graded graphene-reinforced composite (FG-GRC) laminated coatings in temperature change is mentioned in this paper using the Ritz energy method. The complex configuration of sandwich toroidal shell segments with double curvatures and the combination of the corrugated core and the
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On use of train-track-subgrade dynamic model for investigating the train-induced cumulative deformation of subgrade and its dynamic effects Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-23 Zheng Li, Lei Xu, Weidong Wang, Jinfeng Zhang, Jijun Wang, Borong Peng, Zhiping Zeng
This work focuses on two research projects. The first project deals with the prediction of the train-induced cumulative deformation of the high-speed railway subgrade based on the train-track-subgrade dynamic model, and the second project deals with the long-term performance of the train-track-subgrade interaction system subject to the permanent deformation of the subgrade. The train-track-subgrade
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Asymptotic stability of a nonlinear energy harvester with mass disturbance undergoing Markovian jump Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-23 Hao Dong, Lin Du, Shuo Zhang, Tongtong Sun, Yunping Zhao, Zichen Deng
Stochastic mass has exerted a profound impact on the dynamics of the systems characterized by light mass and compact volume. This work delves into the asymptotic stability with probability one of a variable mass energy harvester. Firstly, the Gaussian white noise with Markovian jump is coupled to model the inherent randomness and discreteness of stochastic mass. Then, we have established an approximate
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Effective thermo-electric-mechanical modeling of capacitively coupled plasma in low-pressure conditions: Modeling and application in dry etching Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-23 Jin-Woo Sim, Tae-Hyun Kim, Nayoon Kang, Hae June Lee, Eun-Ho Lee
In semiconductor dry etching process, capacitively coupled plasma (CCP) is widely used in low-pressure environments. However, the kinetics of species particles in low-pressure conditions are different from the general environments. Traditional continuum models are popular in industry due to their simplicity, but they struggle to account for the kinetics of particles in low-pressure conditions. Although
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Dynamic Mode Decomposition for soft tissue deformation modelling Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-22 Jialu Song, Hujin Xie, Yongmin Zhong, Chengfan Gu, Kup-Sze Choi
This paper studies a new approach to dynamic modelling of soft tissue nonlinear deformation behavior based on dynamic model decomposition. This approach derives the deformation relationship between two continuous time points from correlated system snapshots. Subsequently, it constructs a reduced-order system by extracting most relevant information via thin-singular value decomposition to capture dynamic
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Slip boundary condition near the wall-interface contact line in axial stratified two-phase flow Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-20 Ofer Eyal, Neima Brauner, Amos Ullmann, Ayelet Goldstein
The behavior of the velocity and shear stresses in two-phase laminar stratified flow near a triple point (TP), formed in the flow cross-section by the intersection of the interface with the conduit wall, is reconsidered. Differently from the no-slip boundary condition that showed a possibility of diverging shear stresses upon approaching the TP, we allow a slip of the fluids at the wall that can be
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Experimental investigation and micromechanics-based constitutive modeling of the transition from brittle to ductile behavior in saturated low-porosity rocks Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-17 Si-Li Liu, Qi-Zhi Zhu, Lun-Yang Zhao, Qiao-Juan Yu, Jin Zhang, Ya-Jun Cao
This paper presents a unified experimental and numerical investigation on the transition from brittle to ductile behavior in a low-porosity sandstone under drained conditions. The experimental results demonstrate a transition in the mechanical behavior from brittle faulting to dilatant ductile flow at room temperature with an increase in effective confining pressure, suggesting that microcracking-controlled
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Numerical assessment of the impact of hemozoin on the dynamics of a within-host malaria model Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-15 Ann Nwankwo, Daniel Okuonghae
Phagocytosis of infected red blood cells by macrophages can lead to the elimination of malaria parasites. However, the phagocytic function of macrophages can be diminished when they ingest the malarial pigment called hemozoin. In this study, we consider an in-host malaria model which assesses the impact of the ingestion or uptake of hemozoin by macrophages on the dynamics of malaria in a human host
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Well-posedness results for a new class of stochastic spatio-temporal SIR-type models driven by proportional pure-jump Lévy noise Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-17 Mohamed Mehdaoui
This paper provides a first attempt to incorporate the massive discontinuous changes in the spatio-temporal dynamics of epidemics. Namely, we propose an extended class of epidemic models, governed by coupled stochastic semilinear partial differential equations, driven by pure-jump Lévy noise. Based on the considered type of incidence functions, by virtue of semigroup theory, a truncation technique
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Stochastic free vibration analysis of FG-CNTRC plates based on a new stochastic computational scheme Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-17 Zhanjun Shao, Qing Xia, Ping Xiang, Han Zhao, Lizhong Jiang
Stochastic analysis can provide more accurate results compared to deterministic analysis. In this study, the spatial variability of material parameters is introduced into the free vibration analysis of functionally graded carbon nanotube reinforced composite (FG-CNTRC) plates to achieve a higher degree of accuracy, and a new stochastic computational scheme is proposed to handle the low-level uncertainties
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Advanced finite element analyses to compute the J-integral for delaminated composite plates Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-17 Bence Hauck, András Szekrényes
This study concerns several possible ways of computing the J-integral in the cases of laminated composite plate structures containing delamination. On the one hand, two special types of plate finite element families are provided for advanced fracture mechanical analyses. On the other hand, a numerical algorithm is introduced also that utilizes results derived from solid element models built in commercial
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Modelling coupled electro-mechanical phenomena in elastic dielectrics using local conformal symmetry Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-17 Sanjeev Kumar
The local scaling symmetry of the Lagrange density is exploited to investigate the myriad electro-mechanical coupling effects observed in the elastic dielectrics. In contrast to most known flexoelectricity theories, this approach has also explicated on the geometric underpinnings of the induced polarization and electric potential. Due to the inhomogeneous scaling of the metric, the invariance of the
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Mindlin cracked plates modelling and implementation in train-track coupled dynamics Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-17 Zhihao Zhai, Chengbiao Cai, Qinglai Zhang, Shengyang Zhu
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Maxwell homogenisation methodology for evaluation of effective elastic constants of weakly-nonlinear particulate composites Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-17 James Vidler, Andrei Kotousov, Ching-Tai Ng
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Adaptive hierarchical optimization control for electrohydraulic suspension with resistor-capacitor operator Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-17 Di Dai, Jie Zhang, Bangji Zhang, Penghao Li, Wen Hu
The controller design for integrated electrohydraulic suspension with leaf spring is a complicated and challenging task, aiming to achieve optimal dynamic performance for heavy vehicles. Considering the hysteresis property of leaf spring, parameter uncertainties and nonlinearity, a novel hierarchical optimization control strategy including upper and bottom controllers is proposed to effectively suppress
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Innovative deep energy method for piezoelectricity problems Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-13 Kuan-Chung Lin, Cheng-Hung Hu, Kuo-Chou Wang
This work introduces a novel investigation into the use of the deep energy approach for addressing multi-physics issues often encountered in the field of piezoelectricity. The deep energy approach has become known as a robust numerical technique, demonstrating remarkable ability in handling complex nonlinearities and producing very precise results. This research aims to comprehensively investigate
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A multi-day waste collection and transportation problem with selective collection and split delivery Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-13 Kaiping Luo, Wencong Zhao, Renqian Zhang
This paper addresses a multi-day waste collection and transportation problem with selective collection and split delivery (MDWCTP-SCSD). Rather than emptying waste according to a fixed schedule, garbage trucks only visit community waste collection sites whose waste level reaches a predetermined threshold, reducing collection costs but increasing overflow risk. Collection sites likely to overflow the
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Snow Geese Algorithm: A novel migration-inspired meta-heuristic algorithm for constrained engineering optimization problems Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-10 Ai-Qing Tian, Fei-Fei Liu, Hong-Xia Lv
This paper proposes a novel nature-inspired meta-heuristic algorithm, named Snow Geese Algorithm. It is inspired by the migratory behavior of snow geese and emulates the distinctive “Herringbone” and “Straight Line” shaped flight patterns observed during their migration. The algorithm is structured into three main phases for benchmark testing. In the first phase, the Snow Geese Algorithm's numerical
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Behaviour of circumferential and helical guided waves in two-layered composite cylindrical shell Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-08 Elhoussine Oukhai, Said Agounad, Bouazza Faiz
A model of the acoustic scattering of a plane wave incident obliquely upon an infinite elastic bi-layered cylindrical shell is developed based on normal mode expansion technique. The far field backscattering form function for the composite copper/stainless steel cylindrical shell is calculated for reduced frequency range of k⊥a1=0−70 and for different values of incident angles α (k⊥=k1cosα, k1 is
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An effective model for bolted flange joints and its application in vibrations of bolted flange joint multiple-plate structures: Theory with experiment verification Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-11 Wu Ce Xing, Jiaxing Wang, Yan Qing Wang
Bolted flange joints are widely used in various engineering structures to combine two or more substructures together. However, the understanding of mechanical mechanism of bolted flange joints is still insufficient due to the lack of efficient mathematical models. This paper proposes an effective mathematical model for bolted flange joints, which is then employed to conduct vibration analysis on bolted
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Dynamic modeling and nonlinear analysis for lateral–torsional coupling vibration in an unbalanced rotor system Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-11 Pingchao Yu, Li Hou, Ke Jiang, Zihan Jiang, Xuanjun Tao
Imbalance is a common problem in rotating machinery. In addition to the unbalanced force, lateral–torsional coupling vibration can also be induced by the mass imbalance. However, the related nonlinear behaviors and coupling mechanism are still not well understood, especially when lateral-angular motion is incorporated in a model. In this paper, a model for coupling lateral and torsional vibrations
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Static bending and forced vibration analyses of a piezoelectric semiconductor cylindrical shell within first-order shear deformation theory Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-10 Yong Cao, Ziwen Guo, Yilin Qu
This paper examines the mechanically induced electric potential and charge redistribution in a piezoelectric semiconductor cylindrical shell employing first-order shear deformation theory. The two-dimensional governing equations and corresponding boundary conditions are simultaneously derived through a principle of virtual work method and the fundamental lemma of the calculus of variation. For the
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Three novel computational modeling frameworks of 3D-printed graphene platelets reinforced functionally graded triply periodic minimal surface (GPLR-FG-TPMS) plates Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-10 Kim Q. Tran, Tien-Dat Hoang, Jaehong Lee, H. Nguyen-Xuan
This paper presents a comprehensive investigation of novel frameworks for graphene platelets reinforced functionally graded triply periodic minimal surface (GPLR-FG-TPMS) plates. Three functional grading frameworks, which focus on controlling mass density, elastic modulus, and shear modulus, are proposed, each incorporating three porosity distributions in combination with three GPL volume fraction
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Global sensitivity analysis for multivariate outputs using generalized RBF-PCE metamodel enhanced by variance-based sequential sampling Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-10 Lin Chen, Hanyan Huang
The mathematical and computational models in engineering applications commonly have multiple outputs, so it is critical to develop global sensitivity analysis (GSA) for multivariate outputs, which can be used to explore the effect of input parameters on output responses. Amongst the existing sensitivity analysis, the covariance-based method is one of the most widely used methods due to its understandability
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Accelerated degradation data analysis based on inverse Gaussian process with unit heterogeneity Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-10 Huiling Zheng, Jun Yang, Wenda Kang, Yu Zhao
The unit heterogeneity of products and the nonlinear parameter-stress relationship often exist in practice. Therefore, considering the unit heterogeneity, the nonlinear accelerated model and inverse Gaussian process are developed to depict the accelerated degradation data. On the other hand, this more realistic model leads a challenge to derive the model parameter interval estimation. Thereby, a novel
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Indentation behavior of multiferroic composite materials under an axisymmetric power-law shaped indenter Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-09 Qing-Hui Luo, Yue-Ting Zhou
Nanoindentation technique has been widely employed to characterize various material properties of multiferroic composite medium, where the indenter tip may have more general profile rather than just three common simple shapes (flat, cone and sphere). In this paper, the frictionless indentation problem of a transversely isotropic multiferroic half-space punched by an axisymmetric power-law shaped indenter
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Analysis of layered soil under general time-varying loadings by fractional-order viscoelastic model Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-03 Xiangyu Sha, Aizhong Lu, Ning Zhang
Time-varying loading is a frequently encountered loading type in geotechnical engineering. As the deformation of viscoelastic soil is related to its loading history, studying the viscoelastic problems under time-varying loads has important practical engineering significance. In this paper, the stress and displacement of a layered soil with fractional-order viscoelastic model under time-varying loads
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Modeling transient combustion and regression behavior of NEPE propellant based on random particle packing Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-31 Kaixuan Chen, Xiaochun Xue, Yonggang Yu
A sophisticated numerical framework has been proposed as a powerful tool to comprehend the thermal behavior of NEPE propellant during rapid pressure decay. This framework consists of two crucial components: a 2D propellant pack generation module based on the sequential algorithm and a refined combustion model code. To track the regression of the propellant surface, we employ a straightforward single-value
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On the coupled thermo-hydro-mechanical behaviors of layered porous media by the transformed differential quadrature method Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-03 Zhi Yong Ai, Yong Zhi Zhao
In this paper, the thermo-hydro-mechanical (THM) problem of layered porous media is investigated by using the transformed differential quadrature method (TDQM). Starting from the THM governing equations in cylindrical coordinates, the partial differential equations in the transformed domain are obtained by using the Hankel integral transform. Then, the temporal domain and the spatial domain along depth
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Analysis of flatness and critical crown of hot-rolled strip based on thermal–mechanical coupled residual stress analytical model Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-02 Hao Wu, Jie Sun, Wen Peng, Lei Jin, Dianhua Zhang
Residual stress is introduced during hot-rolled strip production due to various factors, such as temperature distribution, crown change, and metal transverse flow. Excessive residual stress can cause flatness defects in the strip, while insufficient residual stress may result in deformation during subsequent cutting. To explore the mechanism of residual stress formation in hot-rolled strip and how
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Dynamic modeling and experimental verification of an L-shaped pipeline in aero-engine subjected to base harmonic and random excitations Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-11-02 Xumin Guo, Jianfei Gu, Hui Li, Kaihua Sun, Xin Wang, Bingjie Zhang, Rangwei Zhang, Dongwu Gao, Junzhe Lin, Bo Wang, Zhong Luo, Wei Sun, Hui Ma
The aero-engine pipeline is inevitably subjected to base harmonic and random excitations during operation, but the vibration response analysis of the aero-engine pipeline under base random excitation has been rarely incorporated in the open research. Therefore, a dynamic model of an L-shaped pipeline combining the transfer matrix method (TMM) and lumped parameter method is proposed to solve the vibration
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Optimization of Multi-echelon Spare Parts Inventory Systems Using Multi-Agent Deep Reinforcement Learning Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-30 Yifan Zhou, Kai Guo, Cheng Yu, Zhisheng Zhang
Multi-echelon inventory systems are commonly used in practice to satisfy widely distributed random demands of spare parts in an efficient and cost-effective manner. Optimization of a multi-echelon inventory system is a decision-making problem under uncertainties. Classic inventory policies (e.g. (s, S) and (R, Q)) that do not consider the inventory positions of other warehouses become suboptimal due
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Analysis of one-shot device testing data under logistic-exponential lifetime distribution with an application to SEER gallbladder cancer data Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-28 Shanya Baghel, Shuvashree Mondal
In the literature, the reliability analysis of one-shot devices is found under accelerated life testing in the presence of various stress factors. The application of one-shot devices can be extended to the bio-medical field, where we often evidence that inflicted with a certain disease, survival time would be under different stress factors like environmental stress, co-morbidity, the severity of disease
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The s-version finite element method for non-linear material problems Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-28 Shengwen Tu, Naoki Morita, Tsutomu Fukui, Kazuki Shibanuma
This study intended to extend the s-version of the finite element method (s-version FEM) to cope with elastic–plastic problems. Compared with the conventional FEM, the s-version FEM, which overlays a set of local mesh with fine element size representing irregular features over the conventional FE mesh with coarse element size, can considerably simplify issues in domain discretisation with fewer degrees
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Formation tracking of multi-robot systems with switching directed topologies based on Udwadia-Kalaba approach Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-26 Conghua Wang, Jinchen Ji, Zhonghua Miao, Jin Zhou
In this paper, a distributed formation tracking protocol is proposed for multi-robot systems with switching directed topologies based on the Udwadia-Kalaba approach. The basic idea is to use the consensus-based scheme to reconstruct formation tracking control requirement into a second-order constraint first, and then apply the Udwadia-Kalaba approach to obtain the constraint force required to achieve
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Vibration analysis of radial tire using the 3D rotating hyperelastic composite REF based on ANCF Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-26 Bo Fan, Zhongmin Wang
In order to analyze the influence of tread structure and rotating angular speed on the vibration characteristics of radial tire, a 3D rotating hyperelastic composite REF (3D-RHCREF) model is proposed. Different form uniform cylindrical tread in other REF models, the tread is simplified as a hyperelastic composite revolving shell, whose discretization and parameterization are achieved by using three-order
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Optimization model for low-carbon supply chain considering multi-level backup strategy under hybrid uncertainty Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-20 Yingtong Wang, Xiaoyu Ji
When constructing a supply chain, the profit, environmental impact, and hybrid uncertainties the supply chain faces should be considered. This research investigates the problem of low-carbon supply chain design under hybrid uncertainty, where demand is regarded as a stochastic variable, supply and transportation disruptions are regarded as uncertain events, and the coefficient of emission reduction
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Multi-point deformation monitoring model of concrete arch dam based on MVMD and 3D-CNN Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-19 Shaoyang Luo, Bowen Wei, Liangjie Chen
It is difficult for single measuring point model to synchronously characterize the spatial correlation of deformation sequence of concrete dam and the similarity of displacements of different measuring points. Considering the limitation of conventional model in dealing with spatial-temporal data structure, In this study, a deep learning technique for multi-point and multi-output deformation prediction
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Three link flexible arm robust regulation via proportional retarded control scheme Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-18 P. Ordaz, L. Rodríguez-Guerrero, M. Ordaz-Oliver, B. Sánchez
In this paper, a delayed distributed proportional control is developed for a class of multiple-input-multiple-output systems in order to reduce the effects of external disturbances and uncertain dynamics. The system under consideration is a three degrees-of-freedom planar robot, consisting of an active joint driving the first link and passive flexible joints for the second and third links. The control
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Image trinarization using a partial differential equation: A novel approach to automatic sperm image analysis Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-16 B.A. Jacobs
Partial differential equations have recently garnered substantial attention as an image processing framework due to their extensibility, the ability to rigorously engineer and analyse the governing dynamics as well as the ease of implementation using numerical methods. This paper explores a novel approach to image trinarization with a concrete real-world application of classifying regions of sperm
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Surrogate modeling in irreversible electroporation towards real-time treatment planning Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-20 Prashanth Lakshmi Narasimhan, Zoi Tokoutsi, Nada Cvetković, Marco Baragona, Karen Veroy, Ralph Maessen, Andreas Ritter
In this paper, we develop surrogate models that can replace expensive predictive models and account for uncertainties in real-time treatment planning for irreversible electroporation of liver tumors. Standard non-intrusive surrogate modeling techniques that account for the model uncertainty and reduce the computational cost, such as polynomial chaos expansion and Gaussian process regression with conventional
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An efficient data-driven optimization framework for designing graded cellular structures Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-16 Hui Liu, Yitong Qi, Lianxiong Chen, Yingwei Li, Wenlei Xiao
Cellular structures are increasingly applied in engineering practice since they have excellent mechanical and multifunctional properties, such as light weight, energy absorption and noise reduction. In this paper, an efficient data-driven M-VCUT (multiple variable cutting) optimization framework is developed for designing the graded cellular structures. Three main parts are included in this method
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On the definitions of hidden Markov models Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-14 Stefane Saize, Xiangfeng Yang
At least three probabilistic definitions of hidden Markov models (HMMs) have been used frequently in the literature. Unfortunately, one of these definitions shows fatal flaws, however nowadays a lot of literature still uses this definition. The aim of this paper is on one hand to specifically point out one such fatal flaw (in terms of deriving the well-known forward-backward algorithm), and on the
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Manipulating flexural waves to enhance the broadband vibration mitigation through inducing programmed disorder on smart rainbow metamaterials Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-14 B.B. de Moura, M.R. Machado, S. Dey, T. Mukhopadhyay
The application of smart materials and metastructures has been rapidly increasing in advanced multiphysical systems because of their ability to modify mechanical responses by adding circuits in a programmable way. This paper proposes to exploit functional gradation and programmed disorder for flexural wave manipulation to enhance broadband vibration control, leading to a new application of smart metamaterials
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An efficient model for vehicle-track-soil dynamic interaction based on Green's function, cyclic calculation and multi-time-step solution methods Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-18 Zheng Li, Lei Xu
To meet the demand for dynamic analysis of railway engineering structures accurately, the numerical model considering the coupled vibrations of the vehicle, track and substructure becomes a research tendency. However, it generates low-efficiency risk due to high degrees of freedom of the model. In this paper, a hybrid integration method based on the implicit scheme and Green's function is introduced
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А particle model of interaction between weakly non-spherical bubbles Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-18 A.A. Aganin, A.I. Davletshin
A mathematical model of interaction of weakly non-spherical gas bubbles in liquid is proposed. It is a system оf the second order ODEs in the radii of bubbles, the position vectors of their centers and the amplitudes of their small deformations in the form of spherical harmonics. Compared to the available analogs, the proposed model equations are more accurate in terms of the ratio of the radii of
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Wavelet Analysis Model Inspired Convolutional Neural Networks for Image Denoising Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-16 Ruotao Xu, Yong Xu, Xuhui Yang, Haoran Huang, Zhenhua Lei, Yuhui Quan
In recent years, many image denoising methods have been proposed based on convolutional neural networks (CNNs). While these methods have shown continuous performance improvement by introducing various mechanisms and structures, their computational cost tends to become increasingly expensive, owing to the resulting complex network architectures. This paper aims at winning the trade-off between computational
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Corrigendum to: “Dynamic analysis of tapered symmetrically layered beams with interlayer slip” [Appl. Math. Model. 120 (2023) 463–484] Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-16 Christoph Adam, Dominik Ladurner, Thomas Furtmüller
Abstract not available
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Strength constrained topology optimization of hyperealstic structures with large deformation-induced frictionless contact Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-17 Jiaqi Huang, Jikai Liu
This paper developed a strength constrained topology optimization method for hyperelastic structures with large deformation-induced frictionless contact. The Neo-Hookean hyperelastic constitutive equation is adopted as the material model that incorporates both material and geometric nonlinearity. The large deforming contact is described by the node-to-segment algorithm. The topology optimization model
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Data-driven modelling and dynamic analysis of the multistable energy harvester with non-Gaussian Lévy noise Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-12 Yanxia Zhang, Yang Li, Yanfei Jin
In engineering, due to the complex structural characteristics of system and the non-Gaussian properties of random excitation, it is difficult to establish an accurate stochastic dynamic model for the strongly nonlinear multistable vibration energy harvester (VEH), especially for these driven by non-Gaussian Lévy noise. From the view of machine learning, a data-driven model identification method is
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Distributed sliding mode control strategy for intelligent connected vehicle platoon in complex media Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-12 Tao Song, Wen-Xing Zhu, Shi-Bin Su, Wen-Wen Wang, Xiao-Long Ma
This study examines the performance of a nonlinear sliding mode controller in cooperative control of the intelligent connected vehicles systems. The study begins by proposing a vehicle-to-vehicle car-following model that takes into account the impacts of disturbances both external and within in the system. Subsequently, an adaptive exponential reaching sliding mode controller based on a non-singular
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The mathematical model and analysis of the nanoparticle-stabilized foam displacement Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-14 Tatiana Danelon, Pavel Paz, Grigori Chapiro
This work proposes a mathematical model to study the foam displacement in porous media stabilized by nanoparticles. We consider a simplification of the Stochastic Bubble Population balance model in local equilibrium, with nanoparticle dependence inspired by the experimental data from the literature. It consists of a non-strictly hyperbolic system of conservation laws, which is solved for the generic
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Heating and evaporation of a mono-component spheroidal droplet with non-uniform surface temperature Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-13 D.V. Antonov, S. Tonini, G.E. Cossali, P.A. Strizhak, S.S. Sazhin
A new mathematical model for spheroidal droplet heating and evaporation is proposed. This model takes into account the effect of liquid finite thermal conductivity and is based on the previously obtained analytical solution for the vapour mass fraction at the droplet surface and a new correlation for the convective heat transfer coefficient incorporated into the numerical code. The heat transfer equation
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A semi-analytical model for rapid prediction of residual stress and deformation in laser powder bed fusion Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-13 Zhi-Jian Li, Hong-Liang Dai, Yuan Yao, Jin-Ling Liu
The build-up of residual stress and the resultant deformation in laser powder bed fusion (LPBF) play vital roles in the performance of the as-built parts. Due to the complex physical phenomena across multi-scales during LPBF, the accurate prediction of residual stress and the deformation related to the temperature variation have exposed the requirement for the computationally efficient modeling of
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Effect of compressible layer on time-dependent behavior of soft-rock large deformation tunnels revealed by mathematical analytical method Appl. Mathmat. Model. (IF 5.0) Pub Date : 2023-10-12 Kui Wu, Xiaomeng Zheng, Nannan Zhao, Zhushan Shao
The application of compressible layers is considered to be the most promising solution for solving the problem of large deformations in deep soft-rock tunnels. However, although significant effort has been devoted to understanding its mechanical working, the effect of the compressible layer has not been completely revealed. This study theoretically predicts the mechanical response of a deep soft-rock