期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到790,386篇文章
< 1 2 … 250 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Moving-Window Integrated Physics-Data-Based Modeling of Four-Wheel Vehicle Lateral Dynamics 认领 引用
1
作者 Wenpeng Wei Jinxiang Wang +3 位作者 Dawei Pi Weichao Zhuang Tianyi He Guodong Yin 《Automotive Innovation》 EI CSCD 2025年第2期519-529,共11页
This paper presents an Integrated physics-data-based(IPDB)modeling of lateral vehicle dynamics with moving-window data snapshots.The IPDB model encodes the fundamental physical principle of four-wheel vehicle motions ... This paper presents an Integrated physics-data-based(IPDB)modeling of lateral vehicle dynamics with moving-window data snapshots.The IPDB model encodes the fundamental physical principle of four-wheel vehicle motions and simultaneously carries out the adaptiveness of the data-driven approach.Specifically,the traditional physics-based lateral dynamics considering four-wheel interaction are first derived into an affine linear-parameter-varying model,in which the vehicle-related parameters and motion variables are separated.Then,by using the Kronecker product,the IPDB model,directly formulated by the data snapshots in the moving-window fashion,is obtained for system representation.As a result,the IPDB technique rendered model is physically interpretable.The impacts of moving window length on modeling performance are numerically studied.The IPDB model accuracy is validated with data from CarSim simulations and experiments with passenger vehicles under various scenarios.It is further demonstrated that the proposed IPDB model is more data-efficient than other data-driven methods since it only uses the data snapshot in the moving window to update the model recursively.This characteristic enables the IPDB method with online modeling capability to adapt to varying driving scenarios. 展开更多
关键词 Integrated physics-data-based modeling Linear parameter varying system Four-wheel vehicle dynamics Autonomous vehicles
Construction of a Big Data-Based Engineering Cost Prediction Model 认领 引用
2
作者 ZHOU Lina 《外文科技期刊数据库（文摘版）工程技术》 2026年第2期099-103,共5页
With the continuous expansion and increasing complexity of engineering projects, cost forecasting has become particularly critical in project management. To meet the demands of the big data era, this study utilizes ex... With the continuous expansion and increasing complexity of engineering projects, cost forecasting has become particularly critical in project management. To meet the demands of the big data era, this study utilizes extensive historical engineering data to examine the intrinsic relationships and fluctuation patterns of project costs, covering data collection, preprocessing, and key factor analysis. By employing cutting-edge algorithms for comprehensive comparison and intelligent identification of cost-influencing factors, an efficient cost forecasting methodology was developed, achieving accurate predictions of cost trends. Results demonstrate that this method exhibits high forecasting accuracy across various project scenarios, effectively capturing key cost variation characteristics and providing robust insights for budget preparation and risk control. Practical validation confirms that with sufficient data resources and rigorous analysis of critical factors, cost management precision can be significantly enhanced. Overall, this research not only establishes innovative technical approaches for cost forecasting but also advances the digital transformation of project management, offering substantial practical implications and broad application prospects for improving resource allocation efficiency and optimizing project decision-making. 展开更多
关键词 big data construction cost forecasting model data preprocessing key factor mining intelligent algorithm
暂未订购 下载PDF
Dynamic modeling of spatial variable stator vane mechanism using modified Lagrange multiplier method 认领 引用 被引量：1
3
作者 Ke HE Kaiyi HUANG +2 位作者 Zhen LI Shuhui HU Zhinan ZHANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第6期251-271,共21页
The Variable Stator Vanes(VSV)system ensures the smooth operation of the highpressure compressor by adjusting the vane angles to prevent surge,and the dynamic behavior of its multistage vanes directly affects its serv... The Variable Stator Vanes(VSV)system ensures the smooth operation of the highpressure compressor by adjusting the vane angles to prevent surge,and the dynamic behavior of its multistage vanes directly affects its service performance.To investigate the dynamic behavior of the spatial VSV multi-vane mechanism,a positional constraint equation for the VSV mechanism was established,and the numerical expressions of the Jacobian matrices for different kinematic pair constraint equations were derived.The Lagrange multiplier method was modified for spatial rotation,and an ideal dynamic model of the spatial VSV multi-vane mechanism was developed.The computational results indicate that the dynamic behavior of different vanes within the same stage is similar,and the constraint moment experienced by vanes at different positions has a linear relationship with their centroid coordinates.This study expands the dynamic modeling methods for spatial mechanisms and provides a foundation for researching the frictional dynamic behavior of VSV mechanisms with clearance. 展开更多
关键词 Dynamic characteristics Dynamic models Lagrange multipliers Spatial dynamic modeling:VSV
暂未订购 下载PDF
An interpretable attention-guided generative adversarial network framework with dual-domain learning for multi-condition constrained sedimentary facies modeling 认领 引用 被引量：1
4
作者 Lei Liu Wei Li +7 位作者 Jian Gao Da-Li Yue De-Gang Wu Wu-Rong Wang Jin Lin Zhi-Bo Li Qian Zhong Jia-Gen Hou 《Petroleum Science》 SCIE EI CAS CSCD 2026年第4期1754-1772,共19页
Sedimentary facies modeling is a critical approach for understanding geological phenomena,yet the strong heterogeneity of reservoir systems poses a serious challenge for their refined characterization.In this study,we... Sedimentary facies modeling is a critical approach for understanding geological phenomena,yet the strong heterogeneity of reservoir systems poses a serious challenge for their refined characterization.In this study,we innovatively propose an interpretable attention-guided generative adversarial network framework with dual-domain learning,which achieves precise sedimentary facies modeling under the constraints of well facies and soft probability data.Specifically,we first effectively extract and preserve prior information of sedimentary facies models from both spatial and frequency domain perspectives.Then,during simulation,to enhance the capability of the network model for finely characterizing complex heterogeneous models,cross-spatial attention mechanisms are designed to effectively capture short-range and long-range dependencies between multi-scale pattern features.Additionally,through systematic feature map visualization analysis,we elucidate the processes of conditional fitting and complex sedimentary facies model reconstruction,intuitively demonstrating the functional mechanisms of each module.Finally,systematic experiments are conducted on multiple datasets to validate the effectiveness of the proposed method.The results demonstrate that the generated sedimentary facies models exhibit high consistency with training datasets in terms of visual realism and statistical indicators.Quantitative comparisons reveal remarkable performance of the method,achieving low Wasserstein distance(0.09),Kernel Inception Distance(0.0017)and Kernel Maximum Mean Discrepancy(0.21).These findings further confirm the high realism of the generated realizations regarding pattern features.This study offers a reliable and practical method for geological reservoir modeling,thereby advancing quantitative,precise geological research with broad application prospects. 展开更多
关键词 Sedimentary facies models Attention-guided generative adversarial network Interpretable framework Sedimentary patterns Multi-condition modeling
暂未订购 下载PDF
A peridynamics modeling approach for pre-cracked rock cracking processes under impact by integrating Drucker-Prager plasticity model and efficient contact model 认领 引用 被引量：2
5
作者 Jingzhi Tu Nengxiong Xu Gang Mei 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第1期179-195,共17页
In rock engineering,natural cracks in rock masses subjected to external loads tend to initiate and propagate,leading to potential safety hazards.To investigate the effect of cracking behavior on the mechanical propert... In rock engineering,natural cracks in rock masses subjected to external loads tend to initiate and propagate,leading to potential safety hazards.To investigate the effect of cracking behavior on the mechanical properties of rocks,the cracking processes of pre-cracked rocks have been extensively studied using numerical modeling methods.The peridynamics(PD)exhibits advantages over other numerical methods due to the absence of the requirements for remeshing and external crack growth criterion.However,for modeling pre-cracked rock cracking processes under impact,current PD implementations lack generally applicable rock constitutive models and impact contact models,which leads to difficulties in determining rock material parameters and efficiently calculating impact loads.This paper proposes a non-ordinary state-based peridynamics(NOSBPD)modeling method integrating the Drucker-Prager(DP)plasticity model and an efficient contact model to address the above problems.In the proposed method,the Drucker-Prager plasticity model is integrated into the NOSBPD,thereby equipping NOSBPD with the capability to accurately characterize the nonlinear stress-strain relationship inherent in rocks.An efficient contact model between particles and meshes is designed to calculate the impact loads,which is essentially a coupling method of PD with the finite element method(FEM).The effectiveness of the proposed NOSBPD modeling method is verified by comparison with other numerical methods and experiments.Experimental results indicate that the proposed method can effectively and accurately predict the 3D cracking processes of pre-cracked cracks under impact loading,and the maximum principal stress is the key driver behind wing crack formation in pre-cracked rocks. 展开更多
关键词 Pre-cracked rocks Cracking processes Non-ordinary state-based peridynamics (NOSBPD) Drucker-Prager plasticity model Efficient contact model
暂未订购 下载PDF
Non-landslide sample for landslide susceptibility prediction modeling:A review of selection strategies and their influence rules 认领 引用 被引量：1
6
作者 Zhuo Jia Zhijin Cheng +3 位作者 Zhilu Chang Qin Li Faming Huang Yuhao Peng 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第4期2859-2880,共22页
A proper non-landslide sample selection strategy can improve landslide susceptibility prediction(LSP)accuracy.However,there may be uncertainties regarding the compatibility between different selection strategies and m... A proper non-landslide sample selection strategy can improve landslide susceptibility prediction(LSP)accuracy.However,there may be uncertainties regarding the compatibility between different selection strategies and machine learning models,as well as in the extent of LSP performance enhancement after their coupling.To overcome these uncertainties,this study takes Wuning county of China as a case area,collecting 24 conditioning factors and 379 landslides data.Four non-landslide sample selection strategies,namely random selection,low-slope,buffer zone,and semi-supervised strategies,are then combined with landslide samples in a 1:1 ratio to serve as input variables for constructing LSP models using support vector machine(SVM),logistic regression(LR),random forest(RF)and extreme gradient boosting(XGBoost).Finally,the uncertainty of semi-supervised machine learning coupled models with a 1:2 ratio of landslide to non-landslide samples is analyzed and compared.The results show that:(1)The semi-supervised and low-slope strategies demonstrate higher prediction accuracy compared to the buffer zone and random selection strategies.Moreover,the RF coupled models are the most reliable,followed by the XGBoost,SVM,and LR coupled models;(2)Compared to a 1:1 ratio,a 1:2 ratio of landslide to non-landslide samples significantly improves prediction accuracy,suggesting that appropriately increasing the proportion of non-landslide samples helps to mitigate overfitting and enhance the identification of landslide samples;and(3)LSP is more sensitive to non-landslide sample selection strategies than to the choice of machine learning models.In conclusion,prioritizing reliable non-landslide samples is crucial for improving accuracy of LSP. 展开更多
关键词 Landslide susceptibility prediction Non-landslide sample selection Machine learning models Uncertainty analysis
暂未订购 下载PDF
Multi-scale modeling of ultra-thin commercially pure titanium sheet for fuel cell bipolar plates:Plastic anisotropy and distortional strain hardening 认领 引用 被引量：1
7
作者 Kyung Mun Min Seonghwan Choi +2 位作者 Xiaohua Hu Jinwoo Lee Hyuk Jong Bong 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第5期1637-1651,共15页
This study presents a multi-scale modeling framework to describe the mechanical behavior of a 0.1 mm-thick commercially pure titanium(CP-Ti)sheet developed for fuel cell bipolar plates.Since standardized methods for c... This study presents a multi-scale modeling framework to describe the mechanical behavior of a 0.1 mm-thick commercially pure titanium(CP-Ti)sheet developed for fuel cell bipolar plates.Since standardized methods for characterizing ultra-thin sheets under complex stress states are lacking,a virtual modeling approach was employed.At the grain scale,a crystal plasticity finite element(CPFE)model was constructed to incorporate the relevant slip and twinning systems,enabling prediction of responses under diverse loading conditions.Extending to the continuum scale,the CPFE results,combined with tensile data,were used to calibrate an advanced constitutive model based on the evolutionary Yld2000-2d yield function,capable of capturing anisotropic behavior.Validation against independent limiting dome height tests confirmed the predictive accuracy of the framework.The proposed approach provides a basis for simulating the forming behavior of ultra-thin CP-Ti sheets and supports precise manufacturing of bipolar plates in fuel cell systems. 展开更多
关键词 commercially pure titanium sheet crystal plasticity plastic anisotropy distortional strain hardening multi-scale modeling
暂未订购 下载PDF
Modeling adaptive growth in forest trees:Integrating individual variation to understand climate responses in widely-distributed species 认领 引用 被引量：1
8
作者 Arne Buechling Charles D.Canham +9 位作者 Nataliya Korolyova Melanie Saulnier Patrick H.Martin Magnuz Engardt Martin Mikoláš Ondřej Vostarek Daniel Kozák Pavel Janda Jeňýk Hofmeister Miroslav Svoboda 《Forest Ecosystems》 SCIE CAS CSCD 2026年第3期797-811,共15页
An improved understanding of how forest trees may respond individually and differentially to climate across broad environmental gradients,due to adaptation or physiological acclimation,may facilitate more robust forec... An improved understanding of how forest trees may respond individually and differentially to climate across broad environmental gradients,due to adaptation or physiological acclimation,may facilitate more robust forecasts of forest resilience under climate change.We present a framework for modeling stem diameter growth in adult canopy trees that accounts for responses to climate that may be unique for individuals in different ecological settings.We used data from>10,000 tree cores from 888 forest inventory plots distributed across wide climatic gradients in two mountain ranges in Europe.We formulated a suite of nonlinear models for each of the four species to understand factors regulating annual radial growth.The models accounted for the effects of tree ontogeny,competition,nitrogen deposition(Nd),temperature,and precipitation.We compared two approaches to evaluate evidence for adaptation or acclimation in the growth-climate relations of trees.One method tested whether growth responses diverged for individual trees associated with distinct climate regimes.An alternate method fitted climate response functions with the deviation of climate in a given year from the prevailing average conditions at a tree location.We also tested whether the peak height of this function,representing the maximum growth capacity of a tree,depended on local average climate.For all taxa,models that incorporated within-species variation received stronger support relative to simpler models that assumed a consistent species-average growth response to climate.Growth in all but one species was best predicted by models fitted with climate deviations.Trees differed markedly in terms of their peak growth potential and climate optima,and in some cases,occupied suboptimal environments.Growth responses to nitrogen(N)inputs were also modulated by climate.Our framework offers a flexible approach for integrating individual-level climate sensitivity into tree demography models,which may allow for more rigorous investigations of forest dynamics,the outcomes of which may inform adaptive management strategies for mitigating climate change impacts. 展开更多
关键词 Acclimation Competition Differentiation Gaussian functions Local adaptation Nitrogen deposition(Nd) Nonlinear growth models
暂未订购 下载PDF
Deformation characteristics of unsaturated slope during post-rainfall earthquake:Insights from centrifuge and numerical modeling 认领 引用 被引量：1
9
作者 Jiawei Xu Kun Fang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第1期380-397,共18页
Slopes are likely to fail in areas with frequent rainfall and earthquakes.The deformation characteristics of unsaturated slopes subjected to post-rainfall earthquakes are investigated using centrifuge model tests and ... Slopes are likely to fail in areas with frequent rainfall and earthquakes.The deformation characteristics of unsaturated slopes subjected to post-rainfall earthquakes are investigated using centrifuge model tests and finite element analyses.Three tests of the slope deformation under earthquake and post-rainfall earthquakes are first studied using image analysis techniques.Then,based on an elastoplastic constitutive model,numerical simulations are carried out using the finite element method and compared with the centrifuge test results.Finally,a parametric study is performed to clarify the effects of antecedent rainfall on earthquake-induced slope deformation.The results show that slope deformation caused by post-rainfall earthquakes differs from that caused by earthquakes without antecedent rainfall.The seepage flow and soil strength of the slope are affected by previous rainfall conditions,such as intensity and duration,which directly influence the slope deformation caused by the subsequent earthquake.Soil displacement and strain become greater and the slip surface is more noticeable during the post-rainfall earthquake of higher intensity.In addition,the time interval between the rainfall and the earthquake has a considerable impact on the detailed characteristics of the slope deformation,and the significant deformation occurs at the time of lowest soil strength when seepage flow reaches the lower part of the slope.Moreover,the repeated intermittent rainfall greatly affects the subsequent earthquake-induced slope deformation,the main characteristics of which are closely related to the changes in saturation and strength of the slope.However,with the prolonged time gap between each round of rainfall,the earthquake-induced slope deformation becomes insignificant. 展开更多
关键词 Slope Deformation Post-rainfall earthquake Centrifuge model test Finite element analysis
暂未订购 下载PDF
Modeling of Precipitation over Africa:Progress,Challenges,and Prospects 认领 引用
10
作者 A.A.AKINSANOLA C.N.WENHAJI +21 位作者 R.BARIMALALA P.-A.MONERIE R.D.DIXON A.T.TAMOFFO M.O.ADENIYI V.ONGOMA I.DIALLO M.GUDOSHAVA C.M.WAINWRIGHT R.JAMES K.C.SILVERIO A.FAYE S.S.NANGOMBE M.W.POKAM D.A.VONDOU N.C.G.HART I.PINTO M.KILAVI S.HAGOS E.N.RAJAGOPAL R.K.KOLLI S.JOSEPH 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第1期59-86,共28页
In recent years,there has been an increasing need for climate information across diverse sectors of society.This demand has arisen from the necessity to adapt to and mitigate the impacts of climate variability and cha... In recent years,there has been an increasing need for climate information across diverse sectors of society.This demand has arisen from the necessity to adapt to and mitigate the impacts of climate variability and change.Likewise,this period has seen a significant increase in our understanding of the physical processes and mechanisms that drive precipitation and its variability across different regions of Africa.By leveraging a large volume of climate model outputs,numerous studies have investigated the model representation of African precipitation as well as underlying physical processes.These studies have assessed whether the physical processes are well depicted and whether the models are fit for informing mitigation and adaptation strategies.This paper provides a review of the progress in precipitation simulation overAfrica in state-of-the-science climate models and discusses the major issues and challenges that remain. 展开更多
关键词 rainfall monsoon climate modeling CORDEX CMIP6 convection-permitting models
暂未订购 下载PDF
Variable pseudo-particle modeling for molecular dynamics simulation 认领 引用
11
作者 Tianhao Qiu Mingcan Zhao +2 位作者 Chengxiang Li Yaning Zhang Wei Ge 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2026年第3期218-230,共13页
Hard sphere(HS)models are efficient for molecular dynamics simulation of dilute gases,but exhibit limitations for dense and real gases due to its oversimplification of molecular interactions.To improve simulation accu... Hard sphere(HS)models are efficient for molecular dynamics simulation of dilute gases,but exhibit limitations for dense and real gases due to its oversimplification of molecular interactions.To improve simulation accuracy for real gases,the variable hard sphere(VHS)model has been proposed.However,similar to the HS model,VHS is difficult to parallelize in computing due to its inherent serial algorithm.The pseudo-particle modeling(PPM),based on a modified HS model,can circumvent this difficulty to some extent and,when further coupled with HS,can achieve almost linear scalability at large-scales,but it is still difficult to accurately simulate real gases.In this work,a variable-diameter model based on PPM(VPPM)was proposed,in which the collision diameter is dynamically determined by the timestep and relative velocity of colliding particle pairs.Through systematic investigation of gas system properties including the mean free path,compressibility factor,and self-diffusion coefficient,the VPPM simulation shows excellent agreement with the VHS results,confirming both the model's effectiveness and successful coupling of VHS and VPPM.Furthermore,the viscosity coefficients of three-dimensional real gases obtained by VPPM in the temperature range of 300-2000 K are consistent with experimental data,with a maximum relative deviation of only 3.7%,significantly outperforming conventional PPM(48% deviation)and Chapman-Enskog theory(35% deviation).It demonstrates that VPPM is highly suitable for accurate and large-scale parallel simulations of real gases,particularly in high temperaturegradient systems such as gas-solid catalytic reaction,gas diffusion,adsorption and separation in chemical engineering,and aerospace applications,especially under significant temperature gradients. 展开更多
关键词 Variable-diameter model Molecular simulation HS-PPM coupling Viscosity Model
暂未订购 下载PDF
Modeling reaction between high-Al steel and slag with consideration of MgO-refractory dissolution into slag 认领 引用
12
作者 Rong-Zhen Mo Chi-Hao Zhang +1 位作者 Ying Ren Li-Feng Zhang 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第3期106-115,共10页
The dissolution of MgO-refractory into the slag had an obvious influence on the steel-slag reaction and the slag property,especially for high-aluminum steels.The dissolution behavior of MgO-refractory was investigated... The dissolution of MgO-refractory into the slag had an obvious influence on the steel-slag reaction and the slag property,especially for high-aluminum steels.The dissolution behavior of MgO-refractory was investigated under various conditions,including the temperature,the initial steel composition,and the initial slag composition.A steel-slag-refractory kinetic model for high-aluminum steel was developed,which incorporated the process of MgO-refractory dissolution.The dependence of the MgO mass transfer coefficient kMgOron temperature T during MgO-refractory dissolution process was established,as described by ln kMgOr=63,754/T+24.38524.It was indicated that the MgO dissolution rate was significantly influenced by the temperature.A higher temperature increased the dissolution rate of MgO.The initial steel composition had a slight impact on the MgO dissolution rate.Additionally,the initial slag composition strongly impacted the MgO saturation concentration and the dissolution rate.A lower initial Al2O3/SiO2ratio increased the MgO dissolution rate.The steel-slag-refractory kinetic model accurately predicted the dissolution of MgO-refractory and the influence of dissolved MgO on the viscosity and composition change during steel-slag-refractory reactions.It was suggested that a higher temperature can hardly reduce the viscosity due to the dissolution of the MgO-refractory. 展开更多
关键词 MgO-refractory Steel-slag-refractory model Kinetic model High-aluminum steel Mold flux
暂未订购 下载PDF
Large Language Model-Enabled Constitutive Modeling for Rate-Dependent Plasticity and Automatic UMAT Subroutine Generation 认领 引用
13
作者 Yuchuan Gu Lusheng Wang +3 位作者 Jun Ding Yanhong Peng Changgeng Li Shaojie Gu 《Computers, Materials & Continua》 SCIE EI 2026年第5期315-329,共15页
In materials science and engineering design,high-fidelity and high-efficiency numerical simulation has become a driving force for innovation and practical implementation.To address longstanding bottlenecks in the deve... In materials science and engineering design,high-fidelity and high-efficiency numerical simulation has become a driving force for innovation and practical implementation.To address longstanding bottlenecks in the development of conventional material constitutive models—such as lengthy modeling cycles and difficulties in numerical implementation—this study proposes an intelligent modeling and code generation approach powered by large languagemodels.A structured knowledge base integrating constitutive theory,numerical algorithms,and UMAT(User Material)interface specifications is constructed,and a retrieval-augmented generation strategy is employed to establish an end-to-end workflow spanning experimental data parsing,constitutive model formulation,and automatic UMAT subroutine generation.Experimental results show that the method achieves high accuracy for both a classical Johnson–Cookmodel and a physics-informed neural network(PINN)model,with key parameter identification errors below 5%.Moreover,the automatically generated UMAT subroutines yield finite element simulation results in Abaqus that are highly consistent with theoretical predictions(coefficient of determination R2>0.98)while maintaining good numerical stability.This framework is currently focused on the automatic construction of rate-dependent elastoplastic material models,and its core method also provides a clear path for extending to other constitutive categories such as hyperelasticity and viscoelasticity.This work provides an effective technical route for the rapid development and reliable numerical implementation of material constitutive models,significantly advancing the intelligence level of computational mechanics research and improving engineering application efficiency. 展开更多
关键词 Large language model constitutive model UMAT subroutine
暂未订购 下载PDF
A Metaheuristic Football Optimization Algorithm Integrated with Large Language Models for Automated Seismic Time-Series Modeling 认领 引用
14
作者 Amal H.Alharbi Marwa M.Eid +2 位作者 Nima Khodadadi Ebrahim A.Mattar Sayed Elkenawy 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第5期947-987,共41页
Seismic time series forecasting remains challenging due to the nonlinearity,non-stationarity,and noise of earthquake data,and because deep learning models are sensitive to preprocessing and hyperparameter settings.Alt... Seismic time series forecasting remains challenging due to the nonlinearity,non-stationarity,and noise of earthquake data,and because deep learning models are sensitive to preprocessing and hyperparameter settings.Although recent studies have improved neural architectures and optimization techniques,preprocessing is often treated as a fixed or manually designed stage,with limited integration into model optimization.To address this,this paper proposes an integrated,data-driven modelling framework that combines guided preprocessing with systematic hyperparameter optimization for seismic prediction,specifically forecasting earthquake magnitude from seismic catalog time-series data,with experiments conducted on Canadian seismic records.The method uses a Large Language Model to guide data preparation and feature engineering,rather than fully automate them,and applies deep learning-based forecasting with the N-HITS architecture,optimized via metaheuristic-assisted feature selection and hyperparameter tuning.The Football Optimization Algorithm(FbOA),employed as a metaheuristic optimization strategy in this study,is evaluated and compared with several well-known optimizers under identical conditions.The results show significant performance gains,with FbOA achieving superior accuracy,robustness,and convergence compared to baseline and competing methods.Notably,error metrics are reduced(MSE 3.10×10-7,RMSE 5.57×103),with high performance indicators(r=0.982,R2=0.979,NSE=0.981,WI=0.985).These results highlight the value of integrating guided preprocessing with optimization and demonstrate a scalable framework for high-precision time-series prediction in geophysical and related domains. 展开更多
关键词 Seismic time-series forecasting large language models metaheuristic algorithms football optimization algorithm earthquake modeling
暂未订购 下载PDF
Parametric Modeling of Glottal Flow in Form of Piecewise Differential Equations 认领 引用
15
作者 MUSHTAQ Tahir MURTAZA Sadaf +2 位作者 SALEEM Muhammad FARHAD Khurram EJAZ Muhammad Faisal 《Journal of Shanghai Jiaotong university(Science)》 EI 2026年第4期1048-1056,I0021,共9页
For realistic speech generation,variation in glottal waveform models has long been proposed.Due to simplicity and efficiency,the parametric models of the glottal flow are very popular in the field of speech generation... For realistic speech generation,variation in glottal waveform models has long been proposed.Due to simplicity and efficiency,the parametric models of the glottal flow are very popular in the field of speech generation.The proposed work presents a new approach to modeling the glottal flow.The current model is comprised of two piecewise differential equations that generate a glottal pulse.The first and second differential equations generate the opening and closing phases of the vocal folds,respectively while the closed phase is taken as zero.There are four parameters involved in the proposed model to bring variation in the shape of the glottal pulse.The current model is very flexible in designing a glottal pulse and is comparable with the famous Liljencrants-Fant model,Rosenberg model,and KLGLOTT88 model.This comparison supports its successful implementation as a voice source in speech synthesis which also leads to the validity of our differential equation-based glottal model. 展开更多
关键词 glottal flow Liljencrants-Fant glottal model vocal folds parametric model differential form
暂未订购 下载PDF
Borehole breakout in heterogeneous rocks using improved Voronoi model:Laboratory test and discrete element modeling 认领 引用
16
作者 Yingchun Li Jiazhi Zhang +1 位作者 Changyi Zuo Kang Duan 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第5期3606-3622,共17页
Borehole instability in heterogeneous rocks poses a significant challenge in geo-energy engineering.The deformation and failure around boreholes are heavily mediated by the inherent heterogeneity of rocks.Here,we exam... Borehole instability in heterogeneous rocks poses a significant challenge in geo-energy engineering.The deformation and failure around boreholes are heavily mediated by the inherent heterogeneity of rocks.Here,we examined borehole breakout under hydrostatic pressure through both laboratory tests and numerical simulations on sandstone samples.Laboratory experiments demonstrated symmetrical V-shaped failures across various borehole diameters.To replicate these observations,we developed a heterogenous UDEC Voronoi model where the material heterogeneity was interpreted by assigning Weibull-distributed inter-grain contact parameters.The rigorously calibrated numerical modeling can effectively capture the microscopic damage process and match the observed macroscopic failure modes.Simulations showed that reducing the borehole diameter increases the critical hydrostatic pressure required for borehole failure and prompts a shift from tensile to shear-dominated failure behavior.While stress anisotropy primarily governs the overall breakout morphology,rock heterogeneity influences the specific locations of crack initiation,leading to localized stress concentrations that shape the ultimate failure patterns.These results provide valuable insights into borehole stability in heterogeneous rocks and guide engineering design and pertinent risk assessment. 展开更多
关键词 Borehole breakout Rock heterogeneity Discrete element model(DEM) Weibull distribution Sandstone Voronoi model
暂未订购 下载PDF
Computational technology and strategy for largescale high-accuracy gravity modeling 认领 引用
17
作者 Wang Shuai Zhao Guo-Feng +1 位作者 Qiu Long-Jun Chen Zhao-Xi 《Applied Geophysics》 SCIE CSCD 2026年第2期843-854,873,共12页
The modeling and inversion of the large-scale gravity fi eld is the basis for exploring the density structure and geodynamics of the deep Earth.For this reason,the realization of fast,large-scale gravity modeling has ... The modeling and inversion of the large-scale gravity fi eld is the basis for exploring the density structure and geodynamics of the deep Earth.For this reason,the realization of fast,large-scale gravity modeling has been a hot topic in recent years.By integrating horizontal adaptive subdivision and the radial extension technique,this paper investigates the combination of computational technology and strategy with the goal of enhancing the accuracy and effi ciency of large-scale gravity modeling.This study also employs the computational strategy that combines mixed-resolution digital elevation models with the above techniques.This strategy signifi cantly improves effi ciency without compromising accuracy.The computational technology and strategy proposed in this paper provide a novel approach for facilitating high-accuracy gravity modeling on a large scale. 展开更多
关键词 gravity modeling horizontal adaptive subdivision radial extension technique mixed-resolution digital elevation models
暂未订购 下载PDF
Exact Computer Modeling of Photovoltaic Sources with Lambert-W Explicit Solvers for Real-Time Emulation and Controller Verification 认领 引用 被引量：1
18
作者 Abdulaziz Almalaq Ambe Harrison +2 位作者 Ibrahim Alsaleh Abdullah Alassaf Mashari Alangari 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第1期873-891,共19页
We present a computer-modeling framework for photovoltaic(PV)source emulation that preserves the exact single-diode physics while enabling iteration-free,real-time evaluation.We derive two closed-form explicit solvers... We present a computer-modeling framework for photovoltaic(PV)source emulation that preserves the exact single-diode physics while enabling iteration-free,real-time evaluation.We derive two closed-form explicit solvers based on the Lambert W function:a voltage-driven V-Lambert solver for high-fidelity I–V computation and a resistance-driven R-Lambert solver designed for seamless integration in a closed-loop PV emulator.Unlike Taylor-linearized explicit models,our proposed formulation retains the exponential nonlinearity of the PV equations.It employs a numerically stable analytical evaluation that eliminates the need for lookup tables and root-finding,all while maintaining limited computational costs and a small memory footprint.The R-Lambert model is integrated into a buck-converter emulator equipped with a discrete PI regulator,which generates current references directly from sensed operating points,thus supporting hardware-constrained implementation.Comprehensive numerical experiments conducted on six commercial modules from various technologies(mono,poly,and multicrystalline)demonstrate significant accuracy improvements under the IEC EN 50530 near-MPP criterion:the V-Lambert solver reduces the±10%Vmpp band error by up to 61 times compared to an explicit-model baseline.Dynamic simulations under varying irradiance,temperature,and load conditions achieve millisecond-scale settling with accurate trajectory tracking.Additionally,processor-in-the-loop experimental validation on an embedded microcontroller supports the simulation results.By unifying exact analytical modeling with embedded realization,this work advances computer modeling for PV emulation,MPPT benchmarking,and controller verification in integrated renewable energy systems. 展开更多
关键词 Photovoltaic emulators(PVE) explicit PV model(EPVM) IEC EN 50530 Lambert function maximum power point(MPP) PVE integration processor-in-the loop
暂未订购 下载PDF
Predicting cerebral acetylcholine dynamics with huperzine A pharmacokinetics in blood via mPBPK-PD modeling 认领 引用
19
作者 Jiaying Wang Yangfan Zhang +7 位作者 Haoqian Wu Siqi Yu Xiaoying Cai Youying Zhang Jian Chen Zixing Chen Xiao Zheng Haiping Hao 《Chinese Journal of Natural Medicines》 SCIE CAS CSCD 2026年第3期349-364,共16页
Huperzine A(HupA) is a highly selective, reversible acetylcholinesterase(AChE) inhibitor that exhibits neuroprotective effects and is clinically used to manage benign memory decline.However, the specific relationship ... Huperzine A(HupA) is a highly selective, reversible acetylcholinesterase(AChE) inhibitor that exhibits neuroprotective effects and is clinically used to manage benign memory decline.However, the specific relationship between the pharmacokinetic(PK) profile of HupA and cerebral acetylcholine(ACh) dynamics remains poorly characterized. Here, we characterize the PK-pharmacodynamic(PD) properties of HupA in rats under both physiological and pathological conditions. Following a single intramuscular injection, HupA exhibits a short halflife but rapid brain penetration, while multiple dosing significantly enhances its brain exposure. In a middle cerebral artery occlusion(MCAO) rat model, HupA demonstrates increased brain distribution. Furthermore, HupA elevates ACh concentrations across multiple brain regions, concurrently modulating several monoamine neurotransmitters. Using a minimal physiologically based pharmacokinetic-pharmacodynamic(mPBPK-PD) modeling approach,cerebral ACh dynamics were accurately predicted based on the pharmacokinetics of HupA in systemic circulation. The developed mPBPK-PD model exhibits robust predictive performance and holds potential for guiding the optimization of clinical dosing regimens and improving the therapeutic efficacy of HupA. 展开更多
关键词 Huperzine A Acetylcholinesterase Neuroprotection Acetylcholine Ischemic stroke mPBPK-PD MCAO model
暂未订购 下载PDF
Thermodynamic constitutive modeling for analyzing the consistencies and differences of intelligent responses induced by thermo-elastic-viscoplastic couplings 认领 引用
20
作者 Hao DUAN W.M.HUANG +2 位作者 Hao ZENG Jianping GU Huiyu SUN 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2026年第7期1533-1548,共16页
Through appropriate thermo-mechanical stimulation,shape memory polymers(SMPs)can exhibit autonomous shape-morphing capabilities,which are referred to as entropic elastic(EE)or reversible plastic(RP)intelligent respons... Through appropriate thermo-mechanical stimulation,shape memory polymers(SMPs)can exhibit autonomous shape-morphing capabilities,which are referred to as entropic elastic(EE)or reversible plastic(RP)intelligent responses.Currently,few studies in the literature address unified constitutive modeling for these two types of intelligent responses,and thermodynamic consistency is lacking.Here,we develop a unified thermodynamically consistent constitutive model that captures hyperelastic-viscoelastic and elasto-viscoplastic couplings,thereby reproducing both the EE and RP intelligent responses.Through verification against experimental data and results from subsequent mechanistic and parametric studies,the constitutive model can not only integrate the theoretical representations of these two phenomena into a mathematical framework,but also reveal the consistencies and differences between the two types of intelligent responses. 展开更多
关键词 intelligent response hyperelasticity-viscoelasticity elasto-viscoplasticity thermodynamic constitutive modeling
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 250 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈