Applied Mathematical Modelling最新文献_第10页

A new level set method with global alternating minimization algorithm for image segmentation 一种新的水平集全局交替最小化图像分割算法

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2025-08-21 DOI: 10.1016/j.apm.2025.116396

Kuidong Huang , Zhixiang Li , Shaojie Tang , Fuqiang Yang , Wenguang Ye , Yang Zeng

{"title":"A new level set method with global alternating minimization algorithm for image segmentation","authors":"Kuidong Huang , Zhixiang Li , Shaojie Tang , Fuqiang Yang , Wenguang Ye , Yang Zeng","doi":"10.1016/j.apm.2025.116396","DOIUrl":"10.1016/j.apm.2025.116396","url":null,"abstract":"<div><div>Due to adverse factors such as varying illumination, noise, and imaging artifacts, achieving fine-grained image segmentation of objects remains a significant challenge. To address this, we propose a level set method based on global alternating minimization. Specifically, a total variation (TV) regularization term weighted by a gradient-based edge indicator function is incorporated into a convex energy functional, enhancing the model’s ability to detect weak edges. Subsequently, an efficient segmentation framework is constructed based on the Alternating Direction Method of Multipliers (ADMM), providing a closed-form solution that improves both numerical stability and convergence speed. By adopting a convex optimization scheme, the proposed model eliminates explicit time-step dependence, thereby improving adaptability and flexibility in the temporal domain. Experimental results demonstrate that the proposed method possesses a global minimization property and consistently outperforms state-of-the-art segmentation models on publicly available datasets. Notably, compared to the Segment Anything Model (SAM), the proposed method reduces the maximum CT measurement error of the ball-plate standard by 65.66 %.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"150 ","pages":"Article 116396"},"PeriodicalIF":4.4,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144898341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Bayesian modeling framework for model updating considering load variations and its application to structural damage identification 考虑荷载变化的模型更新贝叶斯建模框架及其在结构损伤识别中的应用

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2025-08-20 DOI: 10.1016/j.apm.2025.116390

Menghao Ping, Yongjie Cen, Liang Tang

{"title":"A Bayesian modeling framework for model updating considering load variations and its application to structural damage identification","authors":"Menghao Ping, Yongjie Cen, Liang Tang","doi":"10.1016/j.apm.2025.116390","DOIUrl":"10.1016/j.apm.2025.116390","url":null,"abstract":"<div><div>The hierarchical Bayesian modeling framework (HBM) for model updating fails to consider the influence of the load variations on the prediction errors, which may lead to poor accuracy in the prediction of structural responses by using the updated model. To tackle this issue, a Bayesian modeling framework incorporating two probabilistic models is proposed. One of them retains the probabilistic model defined in HBM to quantify the uncertainty of physical parameters. The other probabilistic model is constructed to quantify the uncertainty of prediction errors varying with the intensity of the input load. This probabilistic model utilizes two parameterized functions to characterize the dependence of mean and standard deviation of prediction errors on the input loads, where the parameters of these functions are modeled as Gaussian variables to endow robustness with the model. To select the optimal function type in terms of balancing the simulation accuracy and complexity, the model class selection approach is employed. Embedded with the two probabilistic models, the stochastic physical model updated by proposed Bayesian modeling framework can predict more accurate and robust structural responses than HBM, as demonstrated by linear and nonlinear dynamic examples. Subsequently, the proposed framework is combined with the convolutional neural networks to develop a damage identification method. In this method, the updated physical model is utilized to simulate intact and various damaged states of the monitored structure. The simulated responses are then used to train the networks as a classifier to predict the state of the monitored structure based on its real measurements. Results from the illustrative examples show acceptable classification accuracy, verifying the efficacy of the damage identification method.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"150 ","pages":"Article 116390"},"PeriodicalIF":4.4,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144898375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vibration characteristics of a pre-twisted multi-blades-hub rotor system with blade stiffness mistuning 叶片刚度失谐的预扭多叶片-轮毂转子系统振动特性

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2025-08-20 DOI: 10.1016/j.apm.2025.116394

Shanyi Wang , Ju Su , Tianyu Zhao

{"title":"Vibration characteristics of a pre-twisted multi-blades-hub rotor system with blade stiffness mistuning","authors":"Shanyi Wang , Ju Su , Tianyu Zhao","doi":"10.1016/j.apm.2025.116394","DOIUrl":"10.1016/j.apm.2025.116394","url":null,"abstract":"<div><div>The hub-blade rotor structure is widely used in aero engines, gas turbines, and other rotating machinery. However, most of the existing literature regards this structure as two independent components and discusses their vibration characteristics separately, ignoring the coupling effect. In this paper, based on Donnell shell theory and Euler-Bernoulli beam theory, the energy expression of free vibration of a rotating thin-walled coupled cylindrical shell beam is derived by applying the substructure modal synthesis method. The structure's governing equation is established using the Lagrange equation and the hypothesis mode method considering the displacement continuity condition. Through a combination of the Kriging surrogate model and adaptive genetic algorithm (AGA), the stiffness detuning of the hub-blade rotor system is extensively investigated. The effects of structural parameters such as the length-to-thickness ratio and diameter ratio of the cylindrical shell, length-to-diameter ratio of the beam, installation angle, torsion angle, and installation position on the natural frequency of vibration for a coupled multi-beams cylindrical shell structure are discussed in detail. The vibration primarily induced by the blades predominantly affects low-order frequencies and exhibits sensitivity to mistuning, while the vibration primarily caused by the hub predominantly influences higher-order frequencies and remains largely unaffected by mistuning.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"150 ","pages":"Article 116394"},"PeriodicalIF":4.4,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144898374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A SAR image segmentation method based on salient feature constraints and level set 一种基于显著特征约束和水平集的SAR图像分割方法

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2025-08-20 DOI: 10.1016/j.apm.2025.116388

Chuan Ye , Xiaoqing Yang , Benlin Lai

{"title":"A SAR image segmentation method based on salient feature constraints and level set","authors":"Chuan Ye , Xiaoqing Yang , Benlin Lai","doi":"10.1016/j.apm.2025.116388","DOIUrl":"10.1016/j.apm.2025.116388","url":null,"abstract":"<div><div>Synthetic Aperture Radar (SAR) images suffer from issues such as speckle noise, intensity inhomogeneity, blurred edges, and complex interferences, making accurate SAR image detection a challenge. To address these challenges, this paper introduces a Saliency Feature-Constrained Level Set Segmentation Model (SFC-LSM). First, a Dual-Channel Pulse Coupled Neural Network detection model that integrates SAR image saliency features (SFF-DPCNN) is constructed. Using the SFF-DPCNN detection method, target features are initially extracted to capture the shape details. Subsequently, this shape prior information serves as the shape constraint term in the fine segmentation level set, thereby improving its energy function. The proposed method provides improved segmentation results for SAR images under complex interferences and exhibits robustness in handling background noise images. Comparative experiments are performed on SAR datasets with varying interference. The experimental results indicate that the proposed method is highly robust against speckle noise and interference, allowing for precise segmentation of ship targets.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"150 ","pages":"Article 116388"},"PeriodicalIF":4.4,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tensor completion via total curvature variation and low-rank matrix factorization 张量补全通过总曲率变化和低秩矩阵分解

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2025-08-19 DOI: 10.1016/j.apm.2025.116368

Zhi Xu , Jing-Hua Yang , Xi-Le Zhao , Xi-hong Yan , Chuan-long Wang

{"title":"Tensor completion via total curvature variation and low-rank matrix factorization","authors":"Zhi Xu , Jing-Hua Yang , Xi-Le Zhao , Xi-hong Yan , Chuan-long Wang","doi":"10.1016/j.apm.2025.116368","DOIUrl":"10.1016/j.apm.2025.116368","url":null,"abstract":"<div><div>Curvature-based regularization has attracted growing concern in the field of image restoration, benefiting from its favorable geometric properties, such as preserving sharp edges, corners and contrast. Total variation regularization has the ability to promote piecewise smooth property and preserve edges in image processing. Inspired by the advantages of curvature regularization and total variation, in the paper, we first develop a regularization that combines curvature and total variation to explore the geometric characteristics inside high-dimensional data, called total curvature variation (TCV) regularization, which can better preserve local information of the underlying data. We present a new low-rank tensor completion model via TCV and low-rank matrix factorization, which can simultaneously exploits the global low-rank prior and local structure information of data. We solve the proposed minimization problem by using the effective proximal alternating minimization algorithm with guaranteed convergence. Results from experiments on color images, videos, and magnetic resonance images show the superior performance of the proposed method over the compared methods in terms of quantitative and qualitative evaluations.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"150 ","pages":"Article 116368"},"PeriodicalIF":4.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144878816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic modeling and linear vibration characteristic of cable- stayed bridges. Part II: Eigenvalue and hybrid method 斜拉桥的动力建模及线性振动特性。第二部分：特征值与混合方法

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2025-08-19 DOI: 10.1016/j.apm.2025.116373

Chenyu Lu , Xuexin Xie , Jian Peng , Lianhua Wang

{"title":"Dynamic modeling and linear vibration characteristic of cable- stayed bridges. Part II: Eigenvalue and hybrid method","authors":"Chenyu Lu , Xuexin Xie , Jian Peng , Lianhua Wang","doi":"10.1016/j.apm.2025.116373","DOIUrl":"10.1016/j.apm.2025.116373","url":null,"abstract":"<div><div>In Part I of this study, the dynamic model of cable-stayed bridges has been developed by the Hamilton's principle, and the linearization procedure is firstly performed to obtain the equations of motion governing the linear free response of cable-stayed bridges, which are applied to perform the eigenvalue analysis of the cable-stayed bridge in Part II. To achieve this, the separation-of-variable method is firstly introduced to the separation solutions of in-plane and out-of-plane problems of cable-stayed bridges. Then, the hybrid method is proposed to determine eigenvalue solutions of the linear problems based on the separation-of-variable solutions, and three types of eigenvalue of cable-stayed bridges are obtained. The correctness of the method is validated through the comparison of the numerical results with the finite element results as well as the corresponding numerical algorithm. Following, the method is applied to perform the parametric analysis of in-plane and out-of-plane problems of the cable-stayed bridge, and the effects of some design parameters on the in-plane and out-of-plane natural frequencies are systematically investigated as well as the dynamic interaction. It is shown that the frequency spectra of the cable-stayed bridge exhibit the <em>frequency curve veering</em> and <em>frequency crossover phenomena</em>, and the mode shapes of the cable-stayed bridge may exhibit the local, global and coupling characteristics.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"150 ","pages":"Article 116373"},"PeriodicalIF":4.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144886907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Security mechanisms against malicious strategy attacks in the spatial snowdrift game 空间漂移游戏中防范恶意策略攻击的安全机制

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2025-08-19 DOI: 10.1016/j.apm.2025.116374

Xiang Hu , Chuandong Li

引用次数: 0

A new class of thermodynamically admissible non-Newtonian fluids obtained with the use of compressible natural configurations and their relation to the Finitely Extensible Nonlinear Elastic FENE-P models of kinetical theory 利用可压缩自然结构获得的一类新的热力学允许的非牛顿流体及其与动力学理论的有限可扩展非线性弹性FENE-P模型的关系：温度相关弹性极限及其在Couette、large amplitude振荡剪切（LAOS）和large振幅矩形剪切（LARS）流中的应用

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2025-08-19 DOI: 10.1016/j.apm.2025.116363

Juan Pablo Gomez-Constante , Liviu Iulian Palade

{"title":"A new class of thermodynamically admissible non-Newtonian fluids obtained with the use of compressible natural configurations and their relation to the Finitely Extensible Nonlinear Elastic FENE-P models of kinetical theory","authors":"Juan Pablo Gomez-Constante , Liviu Iulian Palade","doi":"10.1016/j.apm.2025.116363","DOIUrl":"10.1016/j.apm.2025.116363","url":null,"abstract":"<div><div>Based on the previously published work of Gomez-Constante and Palade (see Introduction Section), we study the effect of temperature changes on the elastic limit of a polymer fluid. First, we prove that any Helmholtz potential depending on the invariants of deformation and of the temperature produces the same constitutive equations that would be obtained using the corresponding Helmholtz potential without any temperature dependence on the strain limit. Next, by establishing an Ad-Hoc relation between the strain limit and the temperature and incorporating it into the Helmholtz potential, we derive a constitutive equation based on the model previously derived by Khambhampati and Rajagopal. As a byproduct of temperature-dependent Helmholtz potential, we obtain the internal energy potential as a function of temperature and the invariants of deformation. Next, we show a comparison between the model here obtained and the model of similar nature of Khambhampati and Rajagopal and establish how the First Law of Thermodynamics behaves in the two cases. We find that the classical approach to internal energy has some limitations that are overcome with the proposed model. Finally, a comparative presentation of the models predictions for Couette, large amplitude oscillatory shear (LAOS) and large amplitude rectangular shear (LARS) flows - with the later case being here studied for the first time - is done and discussed. For small enough strains the linear viscoelastic behavior is obtained. Moreover, we study and analyze the heat dissipation during the LAOS and LARS flows, an important aspect only seldom studied.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"150 ","pages":"Article 116363"},"PeriodicalIF":4.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144898427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Inequality restricted minimum density power divergence estimation in panel count data 不等式限制了面板计数数据的最小密度功率散度估计

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2025-08-19 DOI: 10.1016/j.apm.2025.116371

Udita Goswami, Shuvashree Mondal

{"title":"Inequality restricted minimum density power divergence estimation in panel count data","authors":"Udita Goswami, Shuvashree Mondal","doi":"10.1016/j.apm.2025.116371","DOIUrl":"10.1016/j.apm.2025.116371","url":null,"abstract":"<div><div>Analysis of panel count data has garnered a considerable amount of attention in the literature, leading to the development of multiple statistical techniques. In inferential analysis, most of the works focus on leveraging estimating equations-based techniques or conventional maximum likelihood estimation. However, the robustness of these methods is largely questionable. In this paper, we present the robust density power divergence estimation for panel count data arising from nonhomogeneous Poisson processes correlated through a latent frailty variable. In order to cope with real-world incidents, it is often desired to impose certain inequality constraints on the parameter space, giving rise to the restricted minimum density power divergence estimator. Being incorporated with inequality constraints, coupled with the inherent complexity of our objective function, standard computational algorithms are inadequate for estimation purposes. To overcome this, we adopt sequential convex programming, which approximates the original problem through a series of subproblems. Further, we study the asymptotic properties of the resultant estimator, making a significant contribution to this work. The proposed method ensures high efficiency in the model estimation while providing reliable inference despite data contamination. Moreover, the density power divergence measure is governed by a tuning parameter <em>γ</em>, which controls the trade-off between robustness and efficiency. To effectively determine the optimal value of <em>γ</em>, this study employs a generalized score-matching technique, marking considerable progress in the data analysis. Simulation studies and real data examples are provided to illustrate the performance of the estimator and to substantiate the theory developed.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"150 ","pages":"Article 116371"},"PeriodicalIF":4.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144878815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stop unrealistic data preprocessing in wind speed forecasting: approaches and discussions on preventing future data leakage 停止风速预报中不切实际的数据预处理：防止未来数据泄露的途径与探讨

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2025-08-16 DOI: 10.1016/j.apm.2025.116376

Junheng Pang, Sheng Dong

{"title":"Stop unrealistic data preprocessing in wind speed forecasting: approaches and discussions on preventing future data leakage","authors":"Junheng Pang, Sheng Dong","doi":"10.1016/j.apm.2025.116376","DOIUrl":"10.1016/j.apm.2025.116376","url":null,"abstract":"<div><div>Accurate wind speed forecasting is crucial for the development of wind energy. Recently, hybrid models integrating artificial intelligence with data preprocessing techniques have shown superior performance, becoming the mainstream approach. However, many current studies misused data preprocessing techniques by decomposing the entire dataset at once, leading to future data leakage and spurious high precision. To prevent further research from falling into this modeling trap and to explore whether data preprocessing techniques can actively contribute to wind speed forecasting in real-world, we propose several practical solutions and rigorously evaluate their effectiveness. More specifically, three sampling strategy-based approaches including rolling decomposition, stepwise decomposition and sliding window decomposition, as well as a decomposition principle-based approach, maximal overlap discrete wavelet transform, are employed to prevent data leakage. The extreme learning machine, support vector regression and long-short memory are employed as basic models and combined with empirical mode decomposition, variational mode decomposition, and discrete wavelet transform to form hybrid models. The realistic forecasting performance of these hybrid models are comprehensively verified and discussed in-depth. The experimental results indicate that (1) The boundary effect is a major hindrance to enhancing forecasting accuracy. (2) Maximal overlap discrete wavelet transform-based models outperformed their corresponding single models in most cases. (3) Wavelet transform-based models are promising and deserve further exploration.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"150 ","pages":"Article 116376"},"PeriodicalIF":4.4,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144886908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0