Applied Mathematical Modelling最新文献_第10页

Multiobjective enterprise development algorithm for optimizing structural design by weight and displacement 通过重量和位移优化结构设计的多目标企业发展算法

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2024-09-10 DOI: 10.1016/j.apm.2024.115676

{"title":"Multiobjective enterprise development algorithm for optimizing structural design by weight and displacement","authors":"","doi":"10.1016/j.apm.2024.115676","DOIUrl":"10.1016/j.apm.2024.115676","url":null,"abstract":"<div><div>This study presents a novel metaheuristic optimization algorithm for complex multiobjective engineering problems. By integrating advanced population and nondominated sorting techniques into the existing single-objective enterprise development algorithm, this new multiobjective approach effectively identifies Pareto-optimal solutions. The algorithm leverages these techniques to explore engineering solutions within multiobjective search spaces. We evaluated its performance using 29 multiobjective mathematical benchmark problems and conducted a comparative analysis against ten established metaheuristic optimization algorithms. The results demonstrate that the algorithm produces highly accurate approximations of Pareto-optimal fronts while maintaining a uniform distribution of solutions. Additionally, the algorithm was applied to real-world engineering challenges, including the optimization of structures such as the 942-bar tower, the 1536-bar double-layer barrel vault, and the 1410-bar double-layer dome truss, with the primary objectives of minimizing both structural weight and maximum nodal deflection. The findings highlight the algorithm's effectiveness in solving practical engineering problems and consistently achieving optimal Pareto fronts.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416375","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

Application of finite screw method for multi-mode mechanism classification and determination 有限螺杆法在多模式机构分类和确定中的应用

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2024-09-08 DOI: 10.1016/j.apm.2024.115674

引用次数: 0

Application of a surrogate model for condition monitoring of a digital twin gas turbine 代用模型在数字双燃气轮机状态监测中的应用

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2024-09-07 DOI: 10.1016/j.apm.2024.115683

{"title":"Application of a surrogate model for condition monitoring of a digital twin gas turbine","authors":"","doi":"10.1016/j.apm.2024.115683","DOIUrl":"10.1016/j.apm.2024.115683","url":null,"abstract":"<div><p>Condition monitoring technology plays a crucial role in ensuring the reliable operation of gas turbines. Digital twin has propelled condition monitoring research into a new phase. This paper established a surrogate model of gas turbines for condition monitoring based on Markov-projection approximation subspace tracking. Furthermore, it explores the application of surrogate model in developing digital twin for gas turbines. The study initially establishes a Markov matrix and acquires an observation vector, utilizing the framework of the linear model. Utilizing real-time measurement data of gas turbine, the signal subspace of the observation vector autocorrelation matrix is updated through the projection approximation subspace tracking. By aligning this signal subspace with the generalized observability matrix, the identification results of the surrogate model parameters are obtained online. Furthermore, a variable weight projection approximation subspace tracking method has been proposed to enhance the algorithm robustness. Simulation and real experiment demonstrate that the surrogate model output effectively tracks the real-time changes in gas turbine measurement data. When faults and degradation arise, condition monitoring can be achieved by analyzing the evolution of model parameters to obtain feedback information from the gas turbine. The proposed method maintains its robustness in the presence of impulsive noise. These features offer a novel approach for the development of gas turbine digital twin.</p></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0307904X24004360/pdfft?md5=22c961e05ebd38abd68dd93338d67068&pid=1-s2.0-S0307904X24004360-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142233597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel data-driven dynamic model for inflated doubly-bounded hydro-environmental time series 膨胀双约束水文环境时间序列的新型数据驱动动态模型

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2024-09-06 DOI: 10.1016/j.apm.2024.115680

{"title":"A novel data-driven dynamic model for inflated doubly-bounded hydro-environmental time series","authors":"","doi":"10.1016/j.apm.2024.115680","DOIUrl":"10.1016/j.apm.2024.115680","url":null,"abstract":"<div><p>We introduce the class of inflated Kumaraswamy autoregressive and moving average models for modeling and forecasting hydro-environmental time series that assume values in <span><math><mo>[</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>)</mo></math></span> or <span><math><mo>(</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>]</mo></math></span>. The main goal of our proposal is to handle doubly-bounded times series in the presence of inflated data. Conditioned on past observations, the response variable is assumed to follow an inflated Kumaraswamy (IK) distribution, a composite of continuous and discrete distributions. The Kumaraswamy distribution family is particularly useful for modeling hydro-environmental and related data. In the proposed model, the random component follows the IK distribution, while the systematic component comprises two dynamic structures, one for the conditional median and one for the mixture parameter, the latter being simple and parsimonious. The dynamic structure used for the conditional median encompasses autoregressive and moving average dynamics and allows for the inclusion of regressors. Statistical inference based on conditional maximum likelihood is presented. Results from Monte Carlo simulations based on synthetic hydro-environmental series are used to evaluate the accuracy of inferences in finite sample sizes. Finally, three empirical applications using hydro-environmental data are presented and discussed. They showcase the applicability of the proposed model in the context of data-driven water and environmental management.</p></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0307904X24004335/pdfft?md5=f06c55e009e61db17fd66515f1a09715&pid=1-s2.0-S0307904X24004335-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A unified updated Lagrangian smoothed particle hydrodynamics for fluid-structure interaction problems with moving boundaries and interfaces 用于具有移动边界和界面的流固耦合问题的统一更新拉格朗日平滑粒子流体力学

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2024-09-06 DOI: 10.1016/j.apm.2024.115661

{"title":"A unified updated Lagrangian smoothed particle hydrodynamics for fluid-structure interaction problems with moving boundaries and interfaces","authors":"","doi":"10.1016/j.apm.2024.115661","DOIUrl":"10.1016/j.apm.2024.115661","url":null,"abstract":"<div><p>Fluid-structure interaction (FSI), as a two-phase flow problem, is widely encountered in engineering, which often involves large deformation and moving boundaries and interfaces. The finite particle method (FPM) originated from smoothed particle hydrodynamics (SPH) is one of the most common meshfree particle methods, and is more accurate than conventional SPH. In this paper, based on the virtual work principle, a unified updated Lagrangian FPM framework is proposed by which both fluid and solid are discretized simultaneously. A gradient-free form of artificial pressure dissipation is used in fluid models for pressure oscillation problems. An additional artificial stiffness is introduced to control the numerical instability due to rank-deficiency in solid models. Considering FSI problem, the solid particles regarded as dummy particles are introduced into the governing equations of fluid. This technique can avoid arrangement and updating of dummy particles, and allows a convenient handling of the FSI problems with a complex moving interface. The interface force is formed by a force-pair to ensure momentum conservation. Finally, four FSI numerical tests from different degrees of tracking interface are performed to demonstrate that the method in this work can effectively handle the FSI problem with complex geometrical and moving interfaces. In particular, it is effective in the FSI cases with low and medium Reynolds number.</p></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0307904X24004141/pdfft?md5=389cda03b9bc1e374fcbab033e6e9a21&pid=1-s2.0-S0307904X24004141-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nonlinear vortex-induced vibration and its mitigation of wind turbines in parked conditions 停机状态下风力涡轮机的非线性涡流诱发振动及其缓解措施

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2024-09-05 DOI: 10.1016/j.apm.2024.115666

{"title":"Nonlinear vortex-induced vibration and its mitigation of wind turbines in parked conditions","authors":"","doi":"10.1016/j.apm.2024.115666","DOIUrl":"10.1016/j.apm.2024.115666","url":null,"abstract":"<div><p>This study aims to provide a comprehensive exploration of the nonlinear vortex-induced vibration (VIV) characteristics of the wind turbines in parked conditions. Considering the influences of the aero-damping and structure of the wind turbine, a vibration mitigation strategy for VIV is proposed to avoid the potential harm caused by VIV in practical projects. The finite element method (FEM) is used to analyze the mode of the wind turbine, and the aerodynamic performance of the wind turbine is analyzed by employing the blade element theory. Using the van der Pol equation for modeling fluid-structure coupling, a nonlinear equation for simulating the VIV of the tower, accounting for the aero-damping of the wind turbine, is established through the application of Hamilton's principle and the assumed mode method, and is solved by the method of multiple scales. The results show that the VIV in fore-aft bending mode direction of the wind turbine tower should be considered. The VIV of the wind turbine can be mitigated by changing azimuth angles and pitch angles. Furthermore, the effectiveness of the proposed vibration mitigation strategy is validated by the on-site vibration experiment.</p></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0307904X24004190/pdfft?md5=e685294a601480d54680c1df517f6f73&pid=1-s2.0-S0307904X24004190-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142144249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stochastic response of subsystems of interest in MDOF quasi-integrable Hamiltonian systems based on neural networks 基于神经网络的 MDOF 准积分哈密顿系统中相关子系统的随机响应

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2024-09-05 DOI: 10.1016/j.apm.2024.115682

{"title":"Stochastic response of subsystems of interest in MDOF quasi-integrable Hamiltonian systems based on neural networks","authors":"","doi":"10.1016/j.apm.2024.115682","DOIUrl":"10.1016/j.apm.2024.115682","url":null,"abstract":"<div><p>This study presents a method to predict the stochastic response of subsystems of interest in multi-degree-of-freedom quasi-integrable Hamiltonian systems under Gaussian white noises. It bypasses the challenges of addressing high-dimensional partial differential equations and evaluating multiple integrals. The proposed method consists of three main steps: (1) first dimensionality reduction–derive the averaged Itô stochastic differential equations for subsystem energies by applying the stochastic averaging method, then the associated reduced Fokker-Planck-Kolmogorov equations; (2) second dimensionality reduction–simplify the reduced Fokker-Planck-Kolmogorov equation to an approximated ordinary differential one by using the subspace method; (3) neural network approximations–train neural network approximations of first and second derivative moments for the approximated Fokker-Planck-Kolmogorov equation from a prespecified data set. Furthermore, approximate theoretical stationary probability density functions of states of interest are obtained easily using the transformation between system states and the subsystem energy. A 10-degree-of-freedom quasi-integrable Hamiltonian system is given as an example to highlight the procedure and accuracy of the proposed method. Results show that, based on the proposed method, fewer samples (only 1/10000 of compared ones) can predict the stochastic responses of subsystems of interest in multi-degree-of-freedom quasi-integrable Hamiltonian systems well.</p></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0307904X24004359/pdfft?md5=5ae5f7fe079436b22a91dad6aa77e6a5&pid=1-s2.0-S0307904X24004359-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An unbiased non-homogeneous grey forecasting model and its applications 无偏非均质灰色预测模型及其应用

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2024-09-05 DOI: 10.1016/j.apm.2024.115677

{"title":"An unbiased non-homogeneous grey forecasting model and its applications","authors":"","doi":"10.1016/j.apm.2024.115677","DOIUrl":"10.1016/j.apm.2024.115677","url":null,"abstract":"<div><p>In response to the limitations of the traditional grey forecasting model in terms of structure and parameters, an unbiased non-homogeneous grey forecasting model containing a nonlinear time term is proposed. First, the background value is improved based on the integral median theorem, which in turn gives a new unbiased parameter estimation method. Second, the optimization effect of the model is further enhanced by better selection of initial value through relative error sum of squares minimization. It not only has the number multiplication transformation consistency, but also can be compatible with many existing grey forecasting models by adjusting its own structural parameters. Third, the unbiasedness and effectiveness of this model are verified with the help of matrix theory and three practical cases, respectively, and the results show that its performance is more advantageous compared with other grey models as well as various time series forecasting models. Finally, the model is applied to the forecasts for consumer expenditure and food production, with in-sample errors of 0.722% and 0.471%, and out-of-sample errors of 1.341% and 0.827%, respectively. Forecasts show that the per capita consumption expenditure of rural residents in Sichuan Province will reach about 23,000 yuan, and grain production in Jiangsu Province will reach about 39.9 million tons in 2027.</p></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0307904X2400430X/pdfft?md5=6cf2bb317f25e68a2f05447a74503363&pid=1-s2.0-S0307904X2400430X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intrinsic model of rock nonconstant damage creep based on fractal-order theory 基于分形阶理论的岩石非恒定损伤蠕变本构模型

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2024-09-04 DOI: 10.1016/j.apm.2024.115681

{"title":"Intrinsic model of rock nonconstant damage creep based on fractal-order theory","authors":"","doi":"10.1016/j.apm.2024.115681","DOIUrl":"10.1016/j.apm.2024.115681","url":null,"abstract":"<div><p>Saltstone is an ideal medium for storing fossil energy and highly radioactive nuclear waste. Studying the creep mechanical properties of salt rock is important for the safe operation of underground salt rock reservoirs. An intrinsic model of salt rock creep considering the time effect is established based on the element combination model and combined with the fractal-order calculus theory. The model can describe the viscoelastic–plastic creep mechanical behavior of rocks. The 1D and 3D creep equations of salt rock considering the time effect are deduced based on the theory of combined model. The long-term strength values of salt rocks are determined by analyzing the characteristics of isochronous stress–strain curves of existing uni- and triaxial creep tests of the rocks. The parameters in the model are identified by combining the isochronous stress–strain curves and creep test data. Results show that the established creep constitutive model effectively describes the creep mechanical properties of salt rock under different stress states. The model also compensates for the shortcomings of the traditional model that cannot describe the accelerated creep deformation law. It can provide a certain theoretical basis for predicting the creep deformation characteristics of salt rock.</p></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0307904X24004347/pdfft?md5=54ac065bec539b1dfb0d266588ae2a3c&pid=1-s2.0-S0307904X24004347-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Combined effects of information dissemination and resource allocation on spatial spreading of the epidemic 信息传播和资源分配对流行病空间传播的综合影响

IF 4.4 2区工程技术

Applied Mathematical Modelling Pub Date : 2024-09-04 DOI: 10.1016/j.apm.2024.115672

{"title":"Combined effects of information dissemination and resource allocation on spatial spreading of the epidemic","authors":"","doi":"10.1016/j.apm.2024.115672","DOIUrl":"10.1016/j.apm.2024.115672","url":null,"abstract":"<div><p>Information dissemination driven by the epidemic may intensify individuals' awareness to change their behavior, as we observe that aware ones often pursue more resources to resist the epidemic. Particularly, the co-effects of herd awareness to individuals and resource allocation between locations on the spatial spreading of the epidemic has not further uncovered. Therefore, to deeply investigate the co-effects of herd awareness and resource allocation on the spatial spreading of the epidemic, a three-layer metapopulation networks model is proposed to characterize the complex interplay among information diffusion, resource allocation, and epidemic spreading. The results indicate enhancing self-awareness apparently promotes the information dissemination and validly suppresses the epidemic spreading. Intensifying herd awareness can remarkably suppress the epidemic spreading. Besides, pursuing resources excessively has few impacts on curbing the epidemic when individuals suffer from panics, and reducing the infection rate of susceptible individuals via investing resources can properly reduce the final infection scale.</p></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0307904X24004256/pdfft?md5=483988505c3162ecce44423371ced818&pid=1-s2.0-S0307904X24004256-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0