Dynamic characteristic analysis and load design of large floating structures based on experimental design by Guofeng Zhao, Shifan Zhu

“…The experimental design method based on the plane Monte Carlo method and Latin hypercube sampling method and the fitting method based on the moving least squares and Kriging methods can effectively evaluate the influence of wave parameters on the dynamic response of structures. …”
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Effects of Surface Curvature and Surface Strength on Argon Adsorption in Carbon Nanotubes at Temperatures below the Triple Point by Zhongjun Liu, D.D. Do, D. Nicholson, Zhengping Xi

“…This paper describes an investigation of argon adsorption into carbon nanotubes at temperatures below the triple point, using a grand canonical Monte Carlo simulation to study the effects of confinement and surface strength on the 2D transition. …”
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A Nonparametric Operational Risk Modeling Approach Based on Cornish-Fisher Expansion by Xiaoqian Zhu, Jianping Li, Jianming Chen, Yingqi YangHuo, Lijun Gao, Jichuang Feng, Dengsheng Wu, Yongjia Xie

“…In this approach, the samples of severity are generated by Cornish-Fisher expansion and then used in the Monte Carlo simulation to sketch the annual operational loss distribution. …”
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Mean arrival time distributions of extensive air showers at ultrahigh energies by I. F. Hussein, A. A. Al-Rubaiee, A. F. Mkhaiber

“…This paper investigates extensive air showers by estimating the muon and electron mean arrival time distributions at ultrahigh energies for various cosmic-ray particles. The Monte Carlo package AIRES (version 19.04.00) was used to perform simulations at energies of 1019 and 1020 eV. …”
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Observation of 1/3 fractional quantum Hall physics in balanced large angle twisted bilayer graphene by Dohun Kim, Seyoung Jin, Takashi Taniguchi, Kenji Watanabe, Jurgen H. Smet, Gil Young Cho, Youngwook Kim

“…Here we report the observation of fractional quantum Hall physics at 1/3 total filling for balanced layer population in this system. Monte Carlo simulations support that the ground state is also an excitonic superfluid but the excitons are composed of fractional rather than elementary charges. …”
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A Stochastic Wavelet Finite Element Method for 1D and 2D Structures Analysis by Xingwu Zhang, Xuefeng Chen, Zhibo Yang, Bing Li, Zhengjia He

“…By means of virtual work principle and BSWI, the wavelet finite elements of beam, plate, and plane rigid frame are obtained. Combining the Monte Carlo method and the constructed BSWI elements together, the BSWI-SFEM is formulated. …”
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Uncertainty Evaluation of Stochastic Structural Response with Correlated Random Variables by Qiang Fu, Jianjun Liu, Jiarui Shi, Xiao Li, Xueji Cai, Zilong Meng

“…Several numerical examples with an engineering background involving correlated system parameter variables are analyzed and discussed under stochastic excitation, and their results are compared with those yielded by Monte Carlo simulation (MCS) so as to demonstrate the effectiveness of the approach proposed. …”
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Risk Decision-Making Technology in Gas Reservoir Development at Sichuan Basin by Guo Yu, Haitao Li, Yanru Chen, Linqing Liu, Dongming Zhang

“…Regarding the specific production capacity conditions in gas wells (horizontal and vertical wells) and gas reservoir water invasion, the probability method with Monte Carlo stochastic simulation was used to calculate the production and water invasion volumes. …”
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Resilience enhancement strategy for distribution networks considering multiple flexibility resources collaboration by MA Canhao, CHEN Lijuan, WU Zhi

“…Firstly, the fault scenarios of lines and photovoltaic (PV) in the region are simulated by Monte Carlo method based on typical meteorological characteristics, and the typical scenarios are screened by using system information entropy to get the temporal fault states of lines and PV. …”
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Probabilistic assessment of passive earth pressures considering spatial variability of soil parameters and design factors by Jim Shiau, Tan Nguyen, Thinh Pham-Tran-Hung, Jun Sugawara

“…However, modern computational advances, particularly Monte Carlo simulations (MCs), have highlighted the limitations of this approach. …”
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New Method of Tooth Pitch Deviation Measurement based on Laser Tracker for Mega Spur Gear by Zhang Bai, Lin Jiachun

“…Finally, the uncertainties of system measurement of different measurement model are simulated and analyzed by the Monte Carlo method. The experimental results show that the method for measuring the pitch of mega spur gears based on laser tracker meets the single pitch deviation measurement requirements of 8-grade mega spur gears with diameter of more than 6 meters, and meets the total cumulative pitch deviation measurement requirements of 10-grade mega gears with diameter of more than 6 meters.…”
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Modeling and Error Compensation of Robotic Articulated Arm Coordinate Measuring Machines Using BP Neural Network by Guanbin Gao, Hongwei Zhang, Hongjun San, Xing Wu, Wen Wang

“…A neural network model is proposed and analyzed by using the data generated via Monte-Carlo method in simulations. The structure and parameter settings of neural network are optimized to improve the prediction accuracy and training speed. …”
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Relative Permeability of Porous Media with Nonuniform Pores by He Chen, Minghui Yang, Ke Chen, Chao Zhang

“…Based on these, a fractal-based continuous analytical model and a fractal-based Monte Carlo model of relative permeability as well as a permeability-porosity model are established. …”
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Comparison of Weighted Lag Adaptive LASSO with Autometrics for Covariate Selection and Forecasting Using Time-Series Data by Sara Muhammadullah, Amena Urooj, Faridoon Khan, Mohammed N Alshahrani, Mohammed Alqawba, Sanaa Al-Marzouki

“…For analytical comparison, we implement Monte Carlo simulation and assess the performance of these techniques in terms of out-of-sample Root Mean Square Error, Gauge, and Potency. …”
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Estimation for Akshaya Failure Model with Competing Risks under Progressive Censoring Scheme with Analyzing of Thymic Lymphoma of Mice Application by Tahani A. Abushal, Jitendra Kumar, Abdisalam Hassan Muse, Ahlam H. Tolba

“…The Bayes estimate is obtained by using the Markov Chain Monte Carlo (MCMC) method under symmetric and asymmetric loss functions. …”
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Probabilistic Risk Assessment of Slope Failure in 3-D Spatially Variable Soils by Finite Element Method by Ya-Nan Ding, Zu-Fang Qi, Miao Hu, Jin-Zhu Mao, Xiao-Cheng Huang

“…It remains a challenging task to effectively identify the critical slip surface and conduct the efficient risk assessment based on a three-dimensional (3-D) slope with spatial variability. Based on Monte Carlo simulation and the random field method, a quantitative risk evaluation method for slope failure considering the spatial variability of soil parameters is proposed in the study. …”
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Kinematics and spatial structure analysis of TBM gunite robot based on D–H parameter method by Lianhui Jia, Shenyao Liu, Chenxu Cao, Yehao Kang, Ying Zhu, Lijun Wang, Donglai Xu, Ruixue Cheng

“…Finally, based on the Monte Carlo random sampling method, the workspace of the robot is constructed, and its reachability and flexibility within the robot workspace are evaluated. …”
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Design Forces of Horizontal Braces Unlocated at Middle of Columns considering Random Initial Geometric Imperfections by Jinyou Zhao, Junming Wei, Jun Wang

“…In this paper, a large number of column-bracing systems with the horizontal braces unlocated at middle of columns were modelled and analyzed using the finite element method, in which the random initial geometric imperfections of both the columns and the horizontal braces unlocated at middle of columns were well considered by the Monte Carlo method. Based on the numerical calculations, parametric analysis, and probability statistics, the probability density function of the horizontal bracing forces was found, so that the corresponding design forces of horizontal braces unlocated at middle of columns were proposed which were compared with the design mid-height horizontal bracing forces in the previous study and the relevant codes. …”
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Application of Random Dynamic Grouping Simulation Algorithm in PE Teaching Evaluation by Haitao Hao

“…To address this problem, a stochastic simulation-based comprehensive evaluation solution algorithm based on the idea of “Monte Carlo simulation” is proposed, and the corresponding ranking method is investigated, which is characterized by generating evaluation conclusions with probability (reliability) information, and thus has more advantages than the absolute conclusion form in terms of problem interpretability. …”
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Health Risk Assessment of Volatile Organic Compounds for Children in Indoor Air, Ulaanbaatar, Mongolia by Oyun-Erdene Otgonbyamba, Gantuya Ganbat, Ser-Od Khuyag, Enkhjargal Altangerel, Bilguun Ganbold, Altangadas Bayanjargal, Altangerel Bat-Erdene, Bataa Chuluunbaatar, Burmaajav Badrakh, Suvd Batbaatar

“…The levels of benzene, toluene, and xylene in new and old buildings and apartments exceed the recommended values of AGÖF for volatile organic compounds in indoor air. The probabilistic Monte Carlo simulation method was used to estimate the risk exposure of four types of VOCs (benzene, formaldehyde, toluene, and m,p-xylene) to the health of the study population. …”
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