Simulation and Modelling of Safety of Roadways in Reverse Horizontal Curves (RHCs): With Focus on Lateral Acceleration by Maziyar Khanjari, Ali Abdi Kordani, Mohammad Zarei

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APPLICATION EXPERIENCE OF COMPUTER SIMULATION SYSTEMS TO INCREASE THE EFFICIENCY OF FOUNDRY PRODUCTION AT THE ROSTOV FOUNDRY by A. V. Fedosov, G. V. Chumachenko

Subjects: “…computer simulation…”
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Simulation Effect Evaluation of CMIP6 Models on Climatic Elements in Huai River Basin by WU Chen, WANG Jingcai, SHAO Junbo, LI Xiangyu, WANG Wenyue

“…The general climate model (CMIP6) is the main means of large-scale simulation and prediction of future climate changes,but the simulation quality of its model data and applicability in different research regions need to be evaluated.Based on the measured data of 19 meteorological stations in the upper and middle reaches of the Huai River Basin from 1960 to 2014,this paper systematically evaluates the simulated climate data of 19 CMIP6 models using five precision indicators.The indicators include equidistant cumulative distribution function method,mean,dispersion coefficient (C_v),Pearson correlation coefficient (PCC),standard deviation (STD),and root-mean-square deviation (RMSE).Finally,the following conclusions are drawn:① Based on the simulation data of 19 CMIP6 models corrected for bias,the top two climate models for precipitation data simulation are preliminarily selected,including ACCESS-ESM1-5 and CMCC-ESM2.The top five climate models for simulating temperature data contain ACCESS-ESM1-5 and CMCC-ESM2;② The historical period data and measured historical climate data of the selected CMIP6 models are evaluated from two aspects of annual change trend and spatial distribution.Then,the CMIP6 model suitable for the upper and middle reaches of the Huai River Basin is verified and selected;③ Based on analyzing the influence of atmospheric circulation factors on climate,AO has a good correlation with the climate data of the upper and middle reaches of the studied basin,and the correlation between the model and atmospheric circulation data is close to the actual situation.The comprehensive evaluation shows that the most suitable models for simulating the upper and middle reaches of the Huai River Basin are ACCESS-ESM1-5 and CMCC-ESM2.The systematic evaluation of CMIP6 model data simulating the upper and middle reaches of the Huai River Basin provides theoretical and technical references for the rational selection and utilization of CMIP6 datasets for the research on climate change factors in future scenarios of the basin.…”
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Experimental and Numerical Simulation Study on the Evolution Mechanism of Soil Plugging Effect of Pipe Piles by Sifeng Zhang, Chaonan Wang, Wei Fan, Jianyong Han, Qian Liu, Guozhang Ren

“…To tackle the issue of relying solely on one research approach and the inadequate examination of the elements influencing the soil plug effect during the penetration of pipe piles, this study combines experimental modeling with numerical simulations. Through these approaches, we explore the formation and progression of the soil plug, delving into its underlying mechanisms from both macro and micro viewpoints. …”
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Research on Lean Planning and Optimization for Precast Component Production Based on Discrete Event Simulation by Zhenmin Yuan, Yaning Qiao, Yaru Guo, Yaowu Wang, Chen Chen, Wenshun Wang

“…In order to solve these problems, a discrete event simulation- (DES-) based lean planning and optimization method for precast component production is proposed by integrating the complexity assessment (CS), discrete event simulation (DES), and lean management (LM). …”
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Simulating Study on Mechanical Properties of Rock Wool Board for Thermal Insulation on External Walls by Xiaoguang Li, Jinjin Liu, Xin Fan, Jinyi Qin, Rui Zhang, Ren Cao, Panqi Wang, Xiaoliang Huo

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Fracture simulation of concrete beams to assess softening behavior by varying different fractions of aggregates by H. S. Vishwanatha, S. Muralidhara, B. K. Raghu Prasad

“…Simulating the concrete fracture unlike other elastic and brittle materials quite different due to its quasibrittleness. …”
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Retracted: Emergency Scheduling Optimization Simulation of Cloud Computing Platform Network Public Resources by null Complexity

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Simulation Analysis of Big Data Discriminatory Pricing Behavior from the Perspective of Game Theory by Nan Wang, Yu Chang, Xiao Yu Song

“…The impact of key parameters on each party is studied through simulation analysis to provide a reference for cracking down on BDDP behavior. …”
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Simulations of pH and thermal effects on SARS-CoV-2 spike glycoprotein by Ziyuan Niu, Georgios Kementzidis, Miriam Rafailovich, Marcia Simon, Evangelos Papadopoulos, Bertal H. Aktas, Yuefan Deng

“…We performed triplicate and long-time all-atom molecular dynamics simulations to investigate the structures and dynamics of the SARS-CoV-2 spike glycoprotein (S-protein) for a broad range of pH = 1 through 11 and temperatures of 3°C through 75°C. …”
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Finite Element Method Analysis in Simulation of Induction Heater Using Helical Coil Method by Lenny Iryani, Adolf S

“…To study about the corrosion removal by using the helical coil method, in this research the simulation of the removal corrosion in bolt and nut joint are conducted. …”
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RETRACTED: Simulation of the process of grinding and transporting organic waste in an activated carbon production unit by Safin Rushan, Sotnikov Viktor

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Evaluating GEMS HCHO Retrievals With TROPOMI Product, Pandora Observations, and GEOS‐Chem Simulations by Weitao Fu, Lei Zhu, Hyeong‐Ahn Kwon, Rokjin J. Park, Gitaek T. Lee, Isabelle DeSmedt, Song Liu, Xicheng Li, Yuyang Chen, Dongchuan Pu, Juan Li, Xiaoxing Zuo, Peng Zhang, Yali Li, Zhuoxian Yan, Xue Zhang, Jiaming Zhang, Xingyi Wu, Huizhong Shen, Jianhuai Ye, Chen Wang, Tzung‐May Fu, Xin Yang

“…During the fire season of mainland Southeast Asia, GEMS HCHO increases in the afternoon, in line with diurnal emission estimates from the Global Fire Emissions Database Version 4 with small fires (GFED4s) and GEOS‐Chem simulations. GEMS also captures the spatial patterns of fire emissions in GFED4s. …”
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The Impact of Virtual Reality-Based Simulation Training on Dental Students’ Clinical Skills and Confidence by Vikas Singh, B Vidya, Reshma V. Jameela, Liya N. Bipinchandra, Pratiksha Bordoloi, Monika Srivastav

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A new statistical approach with simulation study: Its implementations in management sciences and reliability by Zhidong Liang

“…We derive the quartile-based properties and formulates the maximum likelihood estimators. Additionally, a simulation study is performed to validate the theoretical findings. …”
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Screening fungi for use as biocatalysts in self-healing concrete with protocol simulating concrete environment by Ahsanul Kabir Sumon, Krutika Invally, Lu-Kwang Ju

“…This work addresses the problem of having no existent protocol that closely simulates the harsh concrete environment, namely, high pH (about 13) and temperature (up to above 50 °C during cement hydration), for selecting microorganisms to use in microbe-effected self-healing concrete (MESHC). …”
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Numerical simulation and experimental validation of the oleogel formation from grape seed oil and beeswax by Zohreh Baratian Ghorghi, Ali Faezian, Samira Yeganehzad, Mohammad Ali Hesarinejad, Alireza Sheikhi Darani, Marcello Fidaleo, Hashem Ahmadi Tighchi

Subjects: “…Numerical simulation…”
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Model and Simulation of Maximum Entropy Phrase Reordering of English Text in Language Learning Machine by Weifang Wu

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Fatigue Delamination Crack Growth in GFRP Composite Laminates: Mathematical Modelling and FE Simulation by Hassan Ijaz, Waqas Saleem, Muhammad Zain-ul-abdein, Aqeel Ahmad Taimoor, Abdullah Salmeen Bin Mahfouz

“…The results obtained by the finite element simulations verify the experimental findings of Kenane and Benzeggagh for the fatigue crack growth in GFRP composite laminates.…”
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Monte Carlo Simulation of Linear Polymer Thermal Depolymerization under Isothermal and Dynamic Modes by Elena V. Bystritskaya, Oleg N. Karpukhin, Alla V. Kutsenova

“…Kinetics of linear polymer thermal depolymerization under isothermal and dynamic TGA modes was simulated by the Monte Carlo method. The simulation was carried out on model arrays having the same initial degree of polymerization 𝑃𝑛=100 and different width (polydispersity index, PDI=𝑃𝑤/𝑃𝑛=1∼3) at three constant temperatures and five heating rates. …”
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