On the possibility of controlling the temperature of gases and liquids in a transportation system by local cooling or heating with account salt deposition by Evgeny L. Pankratov

“…The model is based on an analytical solution of partial differential equations with nonlinearity and variation of their coefficients in space and time. …”
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A Digital Twin for Unconventional Reservoirs: A Multiscale Modeling and Algorithm to Investigate Complex Mechanisms by Tao Zhang, Yiteng Li, Jianchao Cai, Qingbang Meng, Shuyu Sun, Chenguang Li

“…The application potential is highly expected especially for problems with complex mechanisms and high data dimensions, because the utilized platform in the digital twin can be easily extended to cover more mechanisms and solve highly complicated problems with strong nonlinearity compared with experimental studies in physical space. …”
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Research on Fault Feature Extraction Method Based on NOFRFs and Its Application in Rotor Faults by Yang Liu, Yulai Zhao, Jintao Li, Fangquan Xi, Shuanghe Yu, Ye Zhang

“…The occurrence of faults is often accompanied by the generation of nonlinear phenomena. However, it is difficult to find out because the nonlinear characteristics are not obvious at the beginning of the fault. …”
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A Step Towards Neuroplasticity: Capsule Networks with Self-Building Skip Connections by Nikolai A. K. Steur, Friedhelm Schwenker

“…As a necessary precondition, we introduce the concept of Adaptive Nonlinearity Gates (ANG)s which dynamically steer and limit the usage of nonlinear processing. …”
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Unloading Creep Characteristics of Frozen Clay Subjected to Long-Term High-Pressure K0 Consolidation before Freezing by Jinbo Jia, Yansen Wang, Yangguang Leng

“…Consolidation stress significantly affects the instantaneous strength. (3) The deformation resistance capability of frozen clay is enhanced by compaction; thus, E1, η1, and η2 increase with prolonged consolidation, and the nonlinearity of the accelerated creep increases.…”
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Influence of Reinforcement Load Level on Bearing Capacity of RC Beams Externally Reinforced with СFRP by Gennadiy A. Smolyago, Alexander E. Zhdanov, Yana L. Obernikhina

“…This article presents a methodology for assessing the effect of the stress-strain state level of reinforcement on the bearing capacity and other parameters of the sections of bent reinforced concrete elements reinforced with carbon fiber, taking into account the physical nonlinearity of concrete and using real deformation diagrams, including reinforcement and reinforcement systems. …”
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Cost-efficient behavioral modeling of antennas by means of global sensitivity analysis and dimensionality reduction by Slawomir Koziel, Anna Pietrenko-Dabrowska

“…Challenges include the curse of dimensionality and the high nonlinearity of antenna characteristics. Moreover, design utility necessitates that the models are defined across wide ranges of frequency, geometry dimensions, and material parameters, posing a significant bottleneck for existing modeling frameworks. …”
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Control of Coexisting Attractors with Preselection of the Survived Attractor in Multistable Chua’s System: A Case Study by Zeric Tabekoueng Njitacke, Theophile Fonzin Fozin, Christian Tchito Tchapga, Gervais Dolvis Leutcho, K. Marcel Wouapi, Jacques Kengne

“…Nonlinear dynamical tools including bifurcation diagrams, standard Lyapunov exponents, phase portraits, and cross section of initial conditions are exploited to reveal the selection scenarios of the survived attractor in the multistability control process of Chua’s system. …”
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Evaluation of the Response of Posttensioned Steel Frames with Energy Dissipators Using Equivalent Single-Degree-of-Freedom Systems by J. Luz Rivera, Arturo López-Barraza, Sonia E. Ruiz, Alfredo Reyes-Salazar

“…The hysteretic energy (EH) dissipated in posttensioned steel frames (PTSF) with hysteretic dampers is calculated by using equivalent single-degree-of-freedom systems (ESDOFS), where the nonlinearity of both the steel bars (beam and columns) and the connections of the structural frame is separately considered. …”
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Online Voltage Regulation With Minimum Disturbance for Distribution Grid Without System Knowledge by Hamad Alduaij, Yang Weng

“…To gain information about the model, active learning methods propose to disturb the system consistently to learn the nonlinearity. The exploration process also introduces uncertainty for further outages. …”
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Comparative Study of Seismic Behavior between Monolithic Precast Concrete Structure and Cast-in-Place Structure by Chao-gang Qin, Guo-liang Bai, Ya-zhou Xu, Ning-fen Su, Tao Wu

“…The distribution of seismic response presented linearity along the height of models in plastic stage and turned into nonlinearity later for severe damage. In general, the MPCS and CIPS had similar seismic responses, except typical characteristics. …”
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Load Deflection Analysis of Beam-Column using Total Potential Energy (TPE) Principle by Manar A. Al-Fadul, Haider H. Darwash, Furat Y. Al-Ghalibi

“…The proposed approach utilizes the energy principal method and takes into account the geometric nonlinearity including the effects of axial force on bending stiffness, the end moments on axial stiffness (bowing), and the initial imperfection. …”
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Real time SOC estimation for Li-ion batteries in Electric vehicles using UKBF with online parameter identification by Selvarani Nachimuthu, Faisal Alsaif, Gunapriya Devarajan, Indragandhi Vairavasundaram

“…Thevenin 2RC battery model is used to captures the nonlinear relationship between the battery’s voltage, current, and SOC. …”
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Analytical Simulation of 3D Wind-Induced Vibrations of Rectangular Tall Buildings in Time Domain by Iván F Huergo, Hugo Hernández-Barrios, Roberto Gómez-Martíne

“…The Monte Carlo simulation method for along-wind loads on tall buildings performed in the time and space domain may be the only analytical viable option for specific problems such as nonlinearity behavior, nonclassically damping, and detailed structural models in commercial software. …”
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Experimental Analysis of Fabricated Synthetic Midthoracic Paediatric Spine as Compared to the Porcine Spine Based on Range of Motion (ROM) by Nor Amalina Muhayudin, Khairul Salleh Basaruddin, Ruslizam Daud, Fiona McEvoy, Tansey

“…Biomechanical tests were conducted to measure the ROM and nonlinearity of sigmoidal curves at six degrees of freedom (DOF) with moments at ±4 Nm before the specimens failed. …”
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Study on shear creep model of calcareous sand in China South Sea by Bin Tang, Bin Tang, Xingyun Huang, Weitao Zhong

“…The results showed that the shear creep curve of calcareous sand exhibits nonlinearity with time, and can be divided into decelerated creep stage and stable creep stage; calcareous sand has different degrees of particle fragmentation during the shear creep test, and the degree of particle fragmentation is greater with the increase of the shear stress level. …”
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Effects of Unbalanced Lamination Parameters on the Static Aeroelasticity of a High Aspect Ratio Wing by JinYang Li, JunLi Wang, ZhiGui Ren, WeiFeng Wei

“…The increase of the unbalanced coefficient makes the chordal displacement gradually change from linear distribution to nonlinear distribution along the spread direction, and the displacement will gradually decrease.…”
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Temporal Patterns of Shrub Vegetation and Variation with Precipitation in Gurbantunggut Desert, Central Asia by Yuguang Yang, Chengyi Zhao, Ming Han, Yike Li, Ruihong Yang

“…The relationship between shrub vegetation and precipitation is one important component of desert vegetation responses to climate change, but it has not been understood completely because of its complexity and nonlinearity. In this study, we used MODIS NDVI data and precipitation data from 2004 to 2012 to evaluate the relationship between the shrub vegetation and precipitation within Gurbantunggut Desert, Central Asia. …”
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A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges by Zongxu Liu, Hui Guo, Yingshuai Zhang, Zongliang Zuo

“…Machine learning methods, especially deep learning approaches such as Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), and ensemble learning techniques like XGBoost, excel in addressing the nonlinearity and complexity of wind power data. The review also explores critical aspects such as data preprocessing, feature selection strategies, and model optimization techniques, which significantly enhance prediction accuracy and robustness. …”
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Statistical Damage Constitutive Model for Cemented Sand considering the Residual Strength and Initial Compaction Phase by Cai Tan, Ming-dao Yuan, Yong-sheng Shi, Bing-sheng Zhou, Hao Li

“…In order to consider the nonlinear deformation and volume change in the initial pore compaction stage, the critical point reflecting the completion of the initial compaction stage was determined. …”
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