Prediction of Residual Gas Content during Coal Roadway Tunneling Based on Drilling Cuttings Indices and BA-ELM Algorithm by Zhenhua Yang, Hongwei Zhang, Sheng Li, Chaojun Fan

“…This method has higher accuracy than other methods and can effectively reveal the nonlinear relationship between drilling cuttings indices and residual gas content. …”
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The Effect of Microsized Aluminum Powder on Thermal Decomposition of HNIW (CL-20) by Xiaoxiang Mao, Chenguang Zhu, Yanchun Li, Yifan Li, Longfei Jiang, Xiaoming Wang

“…The kinetic parameters of CL-20 and CL-20/Al were obtained by ASTM685 and Friedman methods, respectively, indicating that Al powder decreases the activation energy of CL-20 slightly and has a catalytic effect on the thermal decomposition of CL-20. By the method of nonlinear multivariate regression, kinetic models of CL-20 and CL-20/Al were derived as fα=1−αn1+kcat⋅α, where the lgkcat of CL-20 and CL-20/Al is 1.97 and 2.12, respectively, showing that the autocatalytic ability of CL-20 had been increased by adding Al powder. …”
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Deformation of the Geocell Flexible Reinforced Retaining Wall under Earthquake by Yalin Zhu, Kun Tan, Yin Hong, Ting Tan, Manrong Song, Yixian Wang

“…In this paper, we use the FLAC3D nonlinear, finite-difference method to study the failure mechanism of geocell-reinforced retaining walls under earthquake, to analyze the advantages of the geocell retaining wall in controlling deformation compared with the unreinforced retaining wall and geogrid-reinforced retaining wall, and we try to study the deformation of the reinforced wall by changing the length of the geocell and reinforcement spacing of the geocell. …”
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Bilinear control of evolution equations with unbounded lower order terms. Application to the Fokker–Planck equation by Alabau-Boussouira, Fatiha, Cannarsa, Piermarco, Urbani, Cristina

“…., Cannarsa P. and Urbani C., Nonlinear Diff. Eq. Appl. (2022)] for a bounded operator $B$. …”
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The Prediction of Pile Foundation Buried Depth Based on BP Neural Network Optimized by Quantum Particle Swarm Optimization by Fei Yin, Yong Hao, Taoli Xiao, Yan Shao, Man Yuan

“…Accordingly, the prediction of pile foundation buried depth is of great significance in construction engineering. In this paper, a nonlinear model based on coordinates and buried depth of piles was established by the BP neural network to predict the samples to be evaluated, the consequence of which indicated that the BP neural network was easily trapped in local extreme value, and the error reached 31%. …”
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A Study of Failure Strength for Fiber-Reinforced Composite Laminates with Consideration of Interface by Junjie Ye, Yuanying Qiu, Xuefeng Chen, Yumin He, Zhi Zhai

“…Composite laminates can exhibit the nonlinear properties due to the fiber/matrix interface debonding and matrix plastic deformation. …”
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Bending Characteristics of Foldable Touch Display Panel with a Protection Structure Design by Hsien-Chie Cheng, Wei-Heng Xu, Wen-Hwa Chen, Pi-Hsien Wang, Kuo-Feng Chen, Chih-Chia Chang

“…The bending performance of the TDP without or with the protection structure designs is addressed using three-dimensional geometry-nonlinear finite element analysis and mechanical testing. …”
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Finite Element Analysis of Occupant Risk in Vehicular Impacts into Cluster Mailboxes by Emre Palta, Lukasz Pachocki, Dawid Bruski, Qian Wang, Christopher Jaus, Howie Fang

“…This study investigated the crashworthiness of two types of CMs through nonlinear finite element simulations. Two configurations of CM arrangements were considered: a single- and a dual-unit setup. …”
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An Experimental Study on the Creep Characteristics of Sandstone in the Interval of Different Critical Stresses by Chao Yang, Xingchen Dong, Xuan Xu, Qiancheng Sun

“…Both relationships tf and σ1 and (dε/dt)max and σ1 can be described by the exponential function. Then, a nonlinear damage creep model considering the deformation damage and strength damage in the interval of different critical stresses was established, which can describe the whole creep process and predict the failure time of sandstone specimens.…”
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Epidemic spread of influenza viruses: The impact of transient populations on disease dynamics by Karen R. Ríos-Soto, Baojun Song, Carlos Castillo-Chavez

“…A metapopulation framework based on a system of nonlinear ordinary differential equations is used to study the transmission dynamics and control of avian diseases. …”
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Experimental Quantification of Local Pressure Loss at a 90° Bend in Low-Pressure Dilute-Phase Pneumatic Conveying of Coarse Particles by Rui Zhu, Chunsheng Luo, Xin Li, Fei Yan

“…Based on the additional pressure theory of Barth, an empirical formula estimating the local pressure loss is obtained using dimensional and nonlinear regression analysis. Summarizing the experiments and literature, the results expound on the local gas flow pressure loss coefficient decreases with increasing Reynolds number, and first decreases and then increases with increasing bending radius ratios from 0.5 to 7. …”
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NONAN GaitPrint: An IMU gait database of healthy older adults by Tyler M. Wiles, Seung Kyeom Kim, Madhur Mangalam, Joel H. Sommerfeld, Kolby J. Brink, Alli Grunkemeyer, Marilena Kalaitzi Manifrenti, Anaelle E. Charles, Narges Shakerian, Mehrnoush Haghighatnejad, Spyridon Mastorakis, Nick Stergiou, Aaron D. Likens

“…To address this need and complement our previous database on healthy young adults, we present an addition to the Nonlinear Analysis Core (NONAN) GaitPrint database. …”
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Optimal transmission for scalable video coded streaming in cellular wireless networks with the cooperation of local peer-to-peer network by Guangsheng Feng, Junyu Lin, Qian Zhao, Huiqiang Wang, Hongwu Lv, Bingyang Li, DongDong Su

“…To optimize the cellular and peer-to-peer transmission arrangement, we first formulate it as a mixed integer nonlinear programming problem, which becomes more complicated when the number of user equipments increases. …”
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Rapid Characterization of Tanshinone Extract Powder by Near Infrared Spectroscopy by Gan Luo, Bing Xu, Xinyuan Shi, Jianyu Li, Shengyun Dai, Yanjiang Qiao

“…Results demonstrated NIR to be a valid and fast process analytical technology tool to simultaneously determine multiple quality attributes of herbal extract powders and indicated that there existed some nonlinear relationship between NIR spectra and physical quality attributes.…”
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A Coupled Novel Green Element and Embedded Discrete Fracture Model for Simulation of Fluid Flow in Fractured Reservoir by Linsong Cheng, Xulin Du, Renyi Cao, Zhikai Wang, Junjie Shi

“…GEM is an excellent advanced algorithm, which can solve nonlinear problems in heterogeneous media. That is also an obvious advantage of GEM against the original boundary element method (BEM). …”
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Horizontal-Vertical-Rocking Coupled Response Analysis of Vertical Seismic Isolated Structure under Near-Fault Earthquakes by Dewen Liu, Yafei Zhang, Sitong Fang, Yang Liu

“…The responses of horizontal-vertical-rocking coupling base-isolated structure including quasizero stiffness (QZS) and vertical damper (VD) subjected to NF horizontal and vertical ground motions are investigated. Nonlinear dynamic analyses are conducted to study the effects of essential parameters such as isolation system eccentricity, static equilibrium position, vertical isolation period, and vertical damping ratio on seismic responses of vertical isolated structure. …”
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A Low-Complexity GA-WSF Algorithm for Narrow-Band DOA Estimation by Haihua Chen, Jialiang Hu, Hui Tian, Shibao Li, Jianhang Liu, Masakiyo Suzuki

“…However, its criteria is a multimodal nonlinear multivariate optimization problem. As a result, the computational complexity of WSF is very high, which prevents its application to real systems. …”
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Variable-Parameter Impedance Control of Manipulator Based on RBFNN and Gradient Descent by Linshen Li, Fan Wang, Huilin Tang, Yanbing Liang

“…Secondly, the RBFNN, known for its nonlinear fitting capabilities, is employed to identify the system throughout the iterative process. …”
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Parametric Estimation of Directional Wave Spectra from Moored FPSO Motion Data Using Optimized Artificial Neural Networks by Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, MooHyun Kim

“…In addition, comparisons against other machine learning (ML) methods—such as Support Vector Machines, Random Forest, Gradient Boosting, and Ridge Regression—demonstrate the present ANN model’s superior ability to capture intricate nonlinear interdependencies between vessel motions and environmental conditions.…”
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Cumulative Damage Evaluation of RC Bridge Piers subjected to Multiple Earthquakes by Do Hyung Lee, Byeong Hwa Kim, Jung Joong Kim, WooSeok Kim

“…It is thus important that a rigorous seismic analysis of such structures should account for the effect of prior earthquake damage. For this purpose, nonlinear seismic analysis of a reinforced concrete bridge structure has been carried out under both single and multiple earthquake ground motions. …”
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