Improving the Accuracy of the Diffusion Model in Highly Absorbing Media by Alexander X. Cong, Haiou Shen, Wenxiang Cong, Ge Wang

“…The effectiveness of the proposed technique was demonstrated by the numerical experiments using the Monte Carlo simulation data as measurements.…”
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Evaluation of tritium production capability of the 5 MWe gas-cooled graphite-moderated reactor at Yongbyon using tritium-producing burnable absorber rods by Dokyun Kim, Seong Jeong Jeong, Hyung Jin Shim

“…This paper presents burnup analysis results for TPBAR-embedded core models performed by McCARD, a Monte Carlo neutron transport simulation code. For three types of cores with TPBARs, the numerical results show that the 5 MWe reactor can produce 1.83–7.51 g of tritium per year depending on the number of TPBARs in the core. …”
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Measurement and prediction of the development level of China’s digital economy by Shuangyang Lai, Haoming Chen, Yuexu Zhao

“…The empirical analysis shows the Grey-Markov model is superior to grey prediction model in capturing random fluctuations, and Monte Carlo simulation indicates that this model has good robustness. …”
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Improvement of the Resilience of a Microgrid Using Fragility Modeling and Simulation by Santhan Kumar Ch, N. Karuppiah, B. Praveen Kumar, S. Shitharth, B. Dasu

“…The method used for this purpose is a combination of Monte Carlo simulation and prioritization of load of the microgrid. …”
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Modeling and Simulation Analysis of Journal Impact Factor Dynamics Based on Submission and Citation Rules by Jian Zhou, Lin Feng, Ning Cai, Jie Yang

“…The parallel model aims to simulate the submission and citation behaviors of the papers in journals belonging to a similar subject, in a distributed manner. We perform Monte Carlo simulations to show how the model parameters influence the impact factor dynamics. …”
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RELIABILITY ANALYSIS ON HYBRID SURROGATE MODEL OF RADIAL BASIS FUNCTION AND SPARSE POLYNOMIAL CHAOS EXPANSION (MT) by ZHAO ZiDa, ZHANG DeQuan, OUYANG Heng, WU ZePing

“…Subsequently, the reliability analysis of complex structures is carried out based on Monte Carlo simulation（MCS）. In this work, three simulation cases were implemented to compare the performance of the proposed method with the traditional RBF model and augmented RBF model. …”
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Sensitivity Analysis and Optimization for Selected Supply Chain Management Issues in the Company – Using System Dynamics and Vensim by Elżbieta Kasperska, Elwira Mateja-Losa, Rafał Marjasz

“…The visualization called “confidence bounds“ is used, to show the behaviour of chosen variables over a period of time. The Monte-Carlo method is applied for sampling a set of numbers from within bounded domains (distribution for each searching parameters is specified). …”
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Distributed Risk Aversion Parameter Estimation for First-Price Auction in Sensor Networks by Xin An, Shuo Xu, Jiancheng Chen, Yuan Zhang

“…To evaluate the performance of the aggregated parameter estimators, extensive Monte Carlo simulation experiments are conducted for ten different values of risk aversion parameters including the risk neutrality case in multiple classic scenes. …”
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Instantaneous Impact Point Guidance with Coast Arcs for Solid Rockets by Shengwei Jia, Fugui Li, Mingbo Tong

“…The proposed guidance method is verified by Monte Carlo simulations, and the testing results demonstrate the adaptability, strong robustness, and excellent performance for different desired impact point missions.…”
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Stochastic Generation of Subsurface Profiles for Realistic Simulation of Through-the-Earth Communication Systems by Josua Daniel Pena Carreno, A. Judson De Barros Braga

“…An algorithm based on the Monte Carlo method is presented and uses the Finite Element Method (FEM) to compute field propagation through each random structure. …”
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A Bayesian Hierarchical Model for Relating Multiple SNPs within Multiple Genes to Disease Risk by Lewei Duan, Duncan C. Thomas

“…The entire model is fitted using Markov chain Monte Carlo methods. Simulation studies show that the approach is capable of recovering many of the truly causal SNPs and genes, depending upon their frequency and size of their effects. …”
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On the Performance of Energy Harvesting Dual-Hop Free-Space Optical Communication Systems with Secrecy Analysis by Abdulgani A. Ibrahim, Serdar Özgür Ata, Lütfiye Durak-Ata

“…Finally, the accuracy of the derived analytical expressions are validated with Monte Carlo simulations. Results show that our proposed system model outperforms its non-SLIPT counterpart.…”
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Reliability analysis of reinforced concrete slabs according to NBR 6118 considering the lateral confinement by Gabriel Orso Garcia, Mauro de Vasconcellos Real, Paula Manica Lazzari

“…A numerical model developed in ANSYS software, calibrated from experimental results, was used to determine the slabs' failure loads. The Monte Carlo Simulation Method was employed to obtain the failure probabilities and reliability indexes. …”
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Estimation of the coefficients of variation for inverse power Lomax distribution by Samah M. Ahmed, Abdelfattah Mustafa

“…Additionally, it is recommended to use the Markov Chain Monte Carlo (MCMC) method to calculate the Bayes estimate and generate posterior distributions. …”
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Evaluating the Effect of Modelling Errors in Load Identification Using Classical Identification Methods by Michael Vigsø, Rune Brincker, Christos Georgakis

“…From a numerical perspective, uncertainty is quantified through Monte Carlo simulations. Two results are outlined: one where the identification process is completely blindfolded in its most naive form, and one where the spatial distribution of the load is predefined. …”
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Effect of cracking and randomness of inputs on corrosion initiation of reinforced concrete bridge decks exposed to chlorides by P. Konecny, P. Lehner

“…The preliminary model for damage effect on chloride ion ingress through water proof membrane under penetrable asphalt overlay is used. 2-D finite element chloride ingress model is combined with Monte Carlo simulation technique. The innovative crack effect modeling via highly penetrable elements is applied. …”
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Study of Error Propagation in the Transformations of Dynamic Thermal Models of Buildings by Loïc Raillon, Christian Ghiaus

“…A procedure for the study of error by Monte Carlo simulation and of factor prioritization is exemplified on a simple, but representative, thermal model of a building. …”
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Solution of the Stochastic Heat Equation with Nonlinear Losses Using Wiener-Hermite Expansion by Mohamed A. El-Beltagy, Noha A. Al-Mulla

“…The system resulting from WHEP technique is solved also analytically using the eigenfunction expansion technique. The Monte-Carlo simulations (MCS) are performed to get the statistical properties of the stochastic solution and to verify other solution techniques. …”
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Analysis of Type-II Censored Competing Risks’ Data under Reduced New Modified Weibull Distribution by Saad J. Almalki, Tahani A. Abushal, M. D. Alsulami, G. A. Abd-Elmougod

“…Finally, the estimators are compared with the Monte Carlo simulation study.…”
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A Modified Newmark Method for Calculating Permanent Displacement of Seismic Slope considering Dynamic Critical Acceleration by Yulong Cui, Aijuan Liu, Chong Xu, Jun Zheng

“…In this paper, this problem is analyzed, and a new method for calculating permanent displacement of seismic slope considering dynamic critical acceleration is proposed, in which the Monte Carlo simulation is used. Example calculations indicate that this approach permits to show the dropping cohesion and the dynamic critical acceleration of the slide block during the earthquake time history. …”
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