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Generalized modeling of carbon film deposition growth via hybrid MD/MC simulations with machine-learning potentials 认领 引用
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作者 Yutao Liu Tinghong Gao +4 位作者 Qingquan Xiao Yunjun Ruan Qian Chen Bei Wang Jin Huang 《npj Computational Materials》 SCIE EI CSCD 2025年第1期3102-3114,共13页
Theoretical investigations into the controlled growth of carbon films are essential for guiding the experimental fabrication of carbon-based devices.However,accurately simulating the deposition process remains a signi... Theoretical investigations into the controlled growth of carbon films are essential for guiding the experimental fabrication of carbon-based devices.However,accurately simulating the deposition process remains a significant challenge.In this work,we developed an active learning workflow to construct a machine learning-based neuroevolution potential(NEP)for investigating carbon atoms deposition growth on various substrates.By integrating molecular dynamics and time-stamped forcebiased Monte Carlo simulations,we studied the growth of amorphous carbon films on Si(111)and found that deposition energy strongly influenced bonding topology and film morphology.The NEP reliably captured the surface diffusion of carbon atoms,the formation of carbon chains and rings.We revealed a new growth mechanism of adhesion-driven growth at low energies and peening-induced densification at high energies of carbon atoms on Si(111)substrates.To evaluate the transferability of fitting workflow,we extended the NEP to simulate carbon deposition on Cu(111)and Al2O3(0001)surface.Simulation results demonstrate that the NEP can reproduce the subprocesses of graphene formation during carbon growth on the Cu(111)substrate.In contrast,only disordered carbon chains are observed on the Al2O3(0001)substrate.This work provides atomistic insights into the growth mechanisms of carbon films on representative substrates and establishes a robust computational framework for synthesis of diverse carbon nanostructures. 展开更多
关键词 surface diffusion carbon atoms bonding topology carbon films hybrid MD MC simulations machine learning potentials deposition process carbon film deposition
Novel optimization techniques for underwater wireless optical communication links:using Monte Carlo simulation 认领 引用
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作者 Intesar Ramley Hamdah MAlzayed +2 位作者 Yas Al-Hadeethi Abeer ZBarasheed Mingguang Chen 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2025年第8期386-411,共26页
The Underwater Communication Link(UCL)is a crucial component of Underwater Wireless Optical Communication(UWOC)systems,requiring optimised design to mitigate the high power attenuation inherent in seawater.To ensure t... The Underwater Communication Link(UCL)is a crucial component of Underwater Wireless Optical Communication(UWOC)systems,requiring optimised design to mitigate the high power attenuation inherent in seawater.To ensure the reliability of an optimal UCL design,it is essential to account for the three primary scattering regimes:forward scattering(FSC),backward scattering(BSC),and isotropic scattering(ISC)in seawater channels.This study introduces a new photon-tracking model based on a discrete equation,facilitating Monte Carlo Simulation(MCS)to evaluate how different scattering regimes influence received photon distribution.Three distinct Scattering Regime Contribution Weight(SRCW)probability sets were employed,each representing different UCL operational configurations dominated by specific scattering regimes.The proposed modeling approach enables a comprehensive assessment of the temporal characteristics of received optical pulses,channel loss,and time spread-ultimately defining the optimal UCL design parameters.The key findings of this study include:(1)Enhancing the FSC regime dominance leads to a quasi-light waveguide effect over link spans and small Fields of View(FOV)25°)and extended link spans.(4)The developed novel MCS-based discrete equation provides a simple yet robust model for simulating photon propagation in both homogeneous and inhomogeneous underwater channels.These insights contribute to developing more efficient and reliable UCL designs with military standards by enhancing UWOC system performance over a longer linkspan for a given limited optical power across various underwater environments. 展开更多
关键词 Channel gain/loss Channel impulse response(CIR) Central limit theorem(CLT) Channel time spread Field of view(FOV) Monte Carlo simulation(MCS) Underwater wireless optical communication(UWOC)
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MONTE CARLO SIMULATION OF TRIBLOCK COPOLYMER/HOMOPOLYMER BLEND FILMS 认领 引用
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作者 HUANG Yongmin XIAO Xingqing +1 位作者 LIU Honglai HU Ying 《Chinese Journal of Reactive Polymers》 2006年第2期167-173,共7页
The morphologies of triblock copolymer/homopolymer blend films, ABA/A and ABAIB, confined between two neutral hard walls were studied via Monte Carlo （MC） simulation on a simple .cubic lattice. The effects of φh （... The morphologies of triblock copolymer/homopolymer blend films, ABA/A and ABAIB, confined between two neutral hard walls were studied via Monte Carlo （MC） simulation on a simple .cubic lattice. The effects of φh （the volume fraction of homopolymer） and Md/Mb （the molecular weight of homopolymer in relation to that of the corresponding blocks in the copolymer） on the morphologies were investigated in detail. 展开更多
关键词 MC simulation Triblock copolymer/homopolymer blend film Morphology
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Exploring uncertainty in the household water,energy,and food nexus:trade-offs and synergies in South Africa 认领 引用
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作者 Thulani NINGI Amon TARUVINGA +1 位作者 Leocadia ZHOU Saul NGARAVA 《Regional Sustainability》 CAS CSCD 2026年第3期151-176,共26页
Access to water,energy,and food(WEF)remains a persistent challenge in many developing countries,particularly in rural areas where infrastructural limitations and socio-economic vulnerabilities intersect.At the househo... Access to water,energy,and food(WEF)remains a persistent challenge in many developing countries,particularly in rural areas where infrastructural limitations and socio-economic vulnerabilities intersect.At the household level,identifying the complex trade-offs and synergies within the water-energy-food(W-E-F)nexus remains a major challenge due to uncertainties and competing priorities.This study addressed this gap by applying partial correlation network analysis and Monte Carlo simulation(MCS)to model the interactions and sensitivities of WEF-related decisions among households.A cross-sectional survey was conducted with 655 households in the Amathole District Municipality(ADM),South Africa,using a mixed sampling approach.The analysis explored key trade-offs and synergies across the food-water(F-W),water-energy(W-E),food-energy(F-E),and W-E-F nexus dimensions.Findings revealed that income competition and transportation were major trade-offs,while solar pump use emerged as a significant synergy.Income competition had the highest node strength(0.872)and expected influence(1.117)in the W-E-F nexus trade-off network.Within the synergy network,the strongest node strength and expected influence were found for transportation(1.380 and 1.106,respectively)in the F-W nexus,good energy infrastructure(0.848 and 1.240,respectively)in the W-E nexus,and low energy cost(1.031 and 1.031,respectively)in the F-E nexus.Simulation results further indicated that income competition was highly sensitive to transportation and labour use,while synergies like solar pump use,good energy infrastructure,and low energy cost were most sensitive to changes in the use of modern energy,water saving technique,and use of modern energy,respectively.The study concluded that household-level WEF decisions were shaped by multidimensional trade-offs and synergies that were highly sensitive to resource access,infrastructure,and income dynamics.This study advanced understanding of household-level uncertainties in the W-E-F nexus and provided empirical evidence to inform policies aimed at strengthening household resilience and promoting sustainable governance. 展开更多
关键词 Water,energy,and food(WEF)nexus Household resilience Trade-offs Synergies Partial correlation network analysis Monte Carlo simulation(MCS) South Africa
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GEANT4 simulation study of over-response phenomenon of fiber x-ray sensor 认领 引用 被引量：1
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作者 Bin Zhang Tian-Ci Xie +7 位作者 Zhuang Qin Hao-Peng Li Song Li Wen-Hui Zhao Zi-Yin Chen Jun Xu Elfed Lewis Wei-Min Sun 《Chinese Physics B》 SCIE EI CAS CSCD 2021年第4期633-639,共7页
The purpose of this article is to explore the cause of the over-response phenomenon of fiber x-ray sensor.The sensor is based on a length of PMMA fiber,whose end is filled with the scintillation material Gd2O2S:... The purpose of this article is to explore the cause of the over-response phenomenon of fiber x-ray sensor.The sensor is based on a length of PMMA fiber,whose end is filled with the scintillation material Gd2O2S:Tb.The Monte Carlo simulation software GEANT4 uses the phase space file provided by the International Atomic Energy Agency(IAEA),by irradiating the fiber x-ray sensor in the water phantom,counting the fluorescence signal of the optical fiber x-ray sensor after propagation through the fiber.In addition,the number of Cerenkov photons propagating through the fiber is also counted.Comparing this article with previous research,we believe that one of the reasons for the over-response of the fiber x-ray sensor is the non-linear response of the deposition energy of the scintillator to the fluorescence.By establishing a region of interest and counting the x-rays in this region,the simulation results show that the counted number of x-rays that may affect the fiber x-ray sensor is the biggest in the area of interest at a water depth of 5 cm.This result is close to the maximum dose point of the experimental and simulated percentage depth dose(PDD) curve of fiber x-ray sensor.Therefore,the second reason of the over-response phenomenon is believed to be fact that the inorganic materials such as Gd2O2S:Tb have larger effective atomic numbers,so the fiber x-ray sensors will cause more collisions with x-ray in a low energy region of 0.1 MeV-1.5 MeV. 展开更多
关键词 fiber x-ray sensors over-response percentage depth dose(PDD) Monte Carlo(MC)simulation
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Eulerian-Lagranigan simulation of aerosol evolution in turbulent mixing layer 认领 引用 被引量：1
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作者 Kun ZHOU Xiao JIANG +1 位作者 Ke SUN Zhu HE 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2016年第10期1305-1314,共10页
The formation and evolution of aerosol in turbulent flows are ubiquitous in both industrial processes and nature. The intricate interaction of turbulent mixing and aerosol evolution in a canonical turbulent mixing lay... The formation and evolution of aerosol in turbulent flows are ubiquitous in both industrial processes and nature. The intricate interaction of turbulent mixing and aerosol evolution in a canonical turbulent mixing layer was investigated by a direct numerical simulation （DNS） in a recent study （Zhou, K., Attili, A., Alshaarawi, A., and Bisetti, F. Simulation of aerosol nucleation and growth in a turbulent mixing layer. Physics of Fluids, 26, 065106 （2014））. In this work, Monte Carlo （MC） simulation of aerosol evolution is carried out along Lagrangian trajectories obtained in the previous simulation, in order to quantify the error of the moment method used in the previous simulation. Moreover, the particle size distribution （PSD）, not available in the previous works, is also investigated. Along a fluid parcel moving through the turbulent flow, temperature and vapor concentration exhibit complex fluctuations, triggering complicate aerosol processes and rendering complex PSD. However, the mean PSD is found to be bi-modal in most of the mixing layer except that a tri-modal distribution is found in the turbulent transition region. The simulated PSDs agree with the experiment observations available in the literature. A different explanation on the formation of such PSDs is provided. 展开更多
关键词 turbulent mixing layer aerosol dynamics Monte Carlo （MC） simulation
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A simulation research of the louver structure scintillator neutron detector with SiPM readout 认领 引用
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作者 Y.j.Wang C.Huang +9 位作者 B.Tang D.W.Guo J.J.Fu Q.Yu S.J.Chen X.K.Wang H.Xu L.Yu Z.J.Sun Y.B.Chen 《Radiation Detection Technology and Methods》 CSCD 2026年第3期464-473,共10页
Neutron scattering technology is suitable for the investigation of the structure and dynamics of the materials.It has been extensively employed in several fields of research,such as crystallography,geomechanics,molecu... Neutron scattering technology is suitable for the investigation of the structure and dynamics of the materials.It has been extensively employed in several fields of research,such as crystallography,geomechanics,molecular biology,and so on.With the establishment and operation of large neutron scientific facilities,such as the China Spallation Neutron Source(CSNS),advanced neutron scattering instruments equipped with high performance neutron detectors are needed urgently.With the increasing limited of the 3He gas resources,the neutron detectors with wide coverage area,high detection efficiency,and precise positional accuracy are devolved for the replace of traditional3He tubes has become a hot research topic.In this paper,a position sensitive scintillator neutron detector based on the Silicon Photomultiplier(SiPM)readout is proposed.The detector is composed of oblique 6LiF/ZnS(Ag)scintillator screens which create a louver structure,SiPMs and electronics.The SiPM has high-performance and low-cost,which is good for neutron detection efficiency and position resolution.The design of the Louver structure detector was described comprehensively in this paper.The Geant4 software based on the Monte Carlo simulation was used to study various key parameters of the detector.The tilt angle of the scintillation screen,the shape of the optical guide,and the pixel size of the SiPM are studied.The simulation results indicate that the 400 umthick 6LiF/ZnS(Ag)scintillation screens with 75°oblique angle coupled with a trapezoidal BK7 optical guides,the readout SiPMs with 3 mm×3 mm pixel size,and the charger-readout electronics,could composed the optimized detector.Using the center-of-gravity method,the position resolution of O.64 mm can achieve.The detection efficiency of the detector for thermal neutrons can exceed 80%. 展开更多
关键词 Scintillator neutron detectors MC simulation Geant4 6LiF/ZnS(Ag)scintillator Neutron detection efficiency Position resolution
Research on Application of Monte Carlo Simulation in the Income Approach of Asset Valuation A listed Company in China as an Example 认领 引用
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作者 Chen Lei Gu Mengdi 《Journal of Modern Accounting and Auditing》 2012年第9期1301-1310,共10页
The income approach of asset valuation estimates the asset value according to the asset-discounted future earnings or the capitalizing process. As a result, a reasonable prediction of asset-expected future returns has... The income approach of asset valuation estimates the asset value according to the asset-discounted future earnings or the capitalizing process. As a result, a reasonable prediction of asset-expected future returns has become one of the core contents of the income approach. The forecast on expected future earnings is generally based on many uncertain factors, such as strict conditions of assumption and the complexity of environment. However, the current valuation practice in this aspect varies greatly and sometimes depends on personally experienced judgment of appraisers. Therefore, the obtained valuation results tend to be simplified and absolutized. This paper takes a listed company in China as an example to explore the way of inserting an uncertainty analysis into the prediction of the income approach, and then to obtain a series of valuation results within a certain probability fluctuation range. Finally, it puts forward some suggestions about the Monte Carlo simulation （MCS）. 展开更多
关键词 asset valuation income approach uncertainty prediction Monte Carlo simulation （MCS）
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Probabilistic prediction of expected ground condition and construction time and costs in road tunnels 认领 引用 被引量：6
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作者 A.Mahmoodzadeh S.Zare 《Journal of Rock Mechanics and Geotechnical Engineering》 CSCD 2016年第5期734-745,共12页
Ground condition and construction(excavation and support)time and costs are the key factors in decision-making during planning and design phases of a tunnel project.An innovative methodology for probabilistic estimati... Ground condition and construction(excavation and support)time and costs are the key factors in decision-making during planning and design phases of a tunnel project.An innovative methodology for probabilistic estimation of ground condition and construction time and costs is proposed,which is an integration of the ground prediction approach based on Markov process,and the time and cost variance analysis based on Monte-Carlo(MC)simulation.The former provides the probabilistic description of ground classification along tunnel alignment according to the geological information revealed from geological profile and boreholes.The latter provides the probabilistic description of the expected construction time and costs for each operation according to the survey feedbacks from experts.Then an engineering application to Hamro tunnel is presented to demonstrate how the ground condition and the construction time and costs are estimated in a probabilistic way.In most items,in order to estimate the data needed for this methodology,a number of questionnaires are distributed among the tunneling experts and finally the mean values of the respondents are applied.These facilitate both the owners and the contractors to be aware of the risk that they should carry before construction,and are useful for both tendering and bidding. 展开更多
关键词 Markov process Geological condition Monte-Carlo(MC)simulation Construction time and costs Hamro tunnel
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Effects of fracture distribution and length scale on the equivalent continuum elastic compliance of fractured rock masses 认领 引用 被引量：5
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作者 Marte Gutierrez Dong-Joon Youn 《Journal of Rock Mechanics and Geotechnical Engineering》 CSCD 2015年第6期626-637,共12页
Fracture systems have strong influence on the overall mechanical behavior of fractured rock masses dueto their relatively lower stiffness and shear strength than those of the rock matrix. Understanding theeffects of f... Fracture systems have strong influence on the overall mechanical behavior of fractured rock masses dueto their relatively lower stiffness and shear strength than those of the rock matrix. Understanding theeffects of fracture geometrical distribution, such as length, spacing, persistence and orientation, isimportant for quantifying the mechanical behavior of fractured rock masses. The relation betweenfracture geometry and the mechanical characteristics of the fractured rock mass is complicated due tothe fact that the fracture geometry and mechanical behaviors of fractured rock mass are stronglydependent on the length scale. In this paper, a comprehensive study was conducted to determine theeffects of fracture distribution on the equivalent continuum elastic compliance of fractured rock massesover a wide range of fracture lengths. To account for the stochastic nature of fracture distributions, threedifferent simulation techniques involving Oda＇s elastic compliance tensor, Monte Carlo simulation （MCS）,and suitable probability density functions （PDFs） were employed to represent the elastic compliance offractured rock masses. To yield geologically realistic results, parameters for defining fracture distributionswere obtained from different geological fields. The influence of the key fracture parameters andtheir relations to the overall elastic behavior of the fractured rock mass were studied and discussed. Adetailed study was also carried out to investigate the validity of the use of a representative elementvolume （REV） in the equivalent continuum representation of fractured rock masses. A criterion was alsoproposed to determine the appropriate REV given the fracture distribution of the rock mass. 展开更多
关键词 Fractured rock mass Equivalent continuum elastic compliance Monte Carlo simulation(MCS) Representative element volume(REV) Scale effects
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Deformation and stability of the seawall,considering the strength uncertainty of cement mixing piles 认领 引用 被引量：2
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作者 Yuansheng YU Lingling LI +2 位作者 Xiangmiao KONG Chengyuan LI Zhen GUO 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS CSCD 2024年第6期483-501,共19页
The cement mixing (CM) pile is a common method of improving soft offshore ground. The strength growth of CM piles under complex conditions is affected by many factors, especially the cement and moisture contents, and ... The cement mixing (CM) pile is a common method of improving soft offshore ground. The strength growth of CM piles under complex conditions is affected by many factors, especially the cement and moisture contents, and shows significant uncertainty. To investigate the stochasticity of the early strength of CM piles and its impact on the displacement and stability of a seawall, a series of laboratory tests and numerical analyses were carried out in this study. Vane shear tests were conducted on the cement-solidified soil to determine the relationships between the undrained shear strength su of the cement soil curing in the seawater and the cement content ac, as well as the in situ soil moisture content w. It can be inferred that the 24 h undrained shear strength follows a normal distribution. A numerical model considering the random CM pile strength was established to investigate the deformation of the seawall. Due to the uncertainty of CM pile strength, the displacement of the seawall demonstrates a certain discreteness. The decrease of the mean undrained shear strength of CM piles causes a corresponding increase in the average displacement of the seawall. When the mean strength of CM piles is lower than a certain threshold, there is a risk of instability. Furthermore, the heterogeneity of the strength within an individual CM pile also has an impact on seawall displacement. Attention should be paid to the uncertainty of CM pile strength to control displacement and stability. 展开更多
关键词 Construction uncertainty Cement mixing(CM)pile Strength of cement soil Seawall stability Random finite element method(RFEM) Monte Carlo simulation(MCS)
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Robust design and optimization for autonomous PV-wind hybrid power systems 认领 引用 被引量：1
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作者 Jun-hai SHI Zhi-dan ZHONG +1 位作者 Xin-jian ZHU Guang-yi CAO 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS 2008年第3期401-409,共9页
This study presents a robust design method for autonomous photovoltaic (PV)-wind hybrid power systems to obtain an optimum system configuration insensitive to design variable variations. This issue has been formulated... This study presents a robust design method for autonomous photovoltaic (PV)-wind hybrid power systems to obtain an optimum system configuration insensitive to design variable variations. This issue has been formulated as a constraint multi-objective optimization problem, which is solved by a multi-objective genetic algorithm, NSGA-II. Monte Carlo Simulation (MCS) method, combined with Latin Hypercube Sampling (LHS), is applied to evaluate the stochastic system performance. The potential of the proposed method has been demonstrated by a conceptual system design. A comparative study between the proposed robust method and the deterministic method presented in literature has been conducted. The results indicate that the proposed method can find a large mount of Pareto optimal system configurations with better compromising performance than the deterministic method. The trade-off information may be derived by a systematical comparison of these configurations. The proposed robust design method should be useful for hybrid power systems that require both optimality and robustness. 展开更多
关键词 PV-wind power system Robust design Constraint multi-objective optimizations Multi-objective genetic algorithms Monte Carlo Simulation （MCS） Latin Hypercube Sampling （LHS）
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Effects of tissue absorption on calculation of mean photon path length using modified Beer-Lambert law 认领 引用 被引量：1
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作者 尚禹 桂志国 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2016年第2期110-114,100,共5页
The mean path length(MPL)of photons is a critical parameter to calculate tissue absorption coefficient as well as blood oxygenation using modified Beer-Lambert law,where in the differential path factor(DPF)is often as... The mean path length(MPL)of photons is a critical parameter to calculate tissue absorption coefficient as well as blood oxygenation using modified Beer-Lambert law,where in the differential path factor(DPF)is often assumed as constant over range of tissue absorption.By utilizing the Monte Carlo(MC)simulation of photon migrations in the leg,this study used four approaches to estimate MPL,and compared them with that determined by the MPL definition.The simulation results indicate that the DPF is remarkably affected by tissue absorption,at approximate 10% variation.A linear model is suggested to calculate MPL for measurements of tissue absorption as well as blood oxygenation using modified Beer-Lambert law. 展开更多
关键词 mean path length(MPL) photon Monte Carlo(MC)simulation modified Beer-Lambert law tissue absorption
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VOC emission caps constrained by air quality targets based on response surface model:A case study in the Pearl River Delta Region,China 认领 引用 被引量：1
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作者 Ya’nan Hu Bowen Shi +5 位作者 Xin Yuan Chuanzeng Zheng Qing’e Sha Yufan Yu Zhijiong Huang Junyu Zheng 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2023年第1期430-445,共16页
Because of the recent growth in ground-level ozone and increased emission of volatile organic compounds(VOCs),VOC emission control has become a major concern in China.In response,emission caps to control VOC have been... Because of the recent growth in ground-level ozone and increased emission of volatile organic compounds(VOCs),VOC emission control has become a major concern in China.In response,emission caps to control VOC have been stipulated in recent policies,but few of them were constrained by the co-control target of PM2.5and ozone,and discussed the factor that influence the emission cap formulation.Herein,we proposed a framework for quantification of VOC emission caps constrained by targets for PM2.5and ozone via a new response surface modeling(RSM)technique,achieving 50%computational cost savings of the quantification.In the Pearl River Delta(PRD)region,the VOC emission caps constrained by air quality targets varied greatly with the NOxemission reduction level.If control measures in the surrounding areas of the PRD region were not considered,there could be two feasible strategies for VOC emission caps to meet air quality targets(160μg/m3for the maximum 8-hr-average 90th-percentile(MDA8-90%)ozone and 25μg/m3for the annual average of PM2.5):a moderate VOC emission cap with60%NOxemission reductions.If the ozone concentration target were reduced to 155μg/m3,deep NOxemission reductions is the only feasible ozone control measure in PRD.Optimization of seasonal VOC emission caps based on the Monte Carlo simulation could allow us to gain higher ozone benefits or greater VOC emission reductions.If VOC emissions were further reduced in autumn,MDA8-90%ozone could be lowered by 0.3-1.5μg/m3,equaling the ozone benefits of 10%VOC emission reduction measures.The method for VOC emission cap quantification and optimization proposed in this study could provide scientific guidance for coordinated control of regional PM2.5and O3pollution in China. 展开更多
关键词 Volatile organic compounds Emission caps Air quality targets Response surface model Monte Carlo(MC)simulations
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LS-SVM and Monte Carlo methods based reliability analysis for settlement of soft clayey foundation 认领 引用 被引量：11
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作者 Yinghe Wang Xinyi Zhao Baotian Wang 《Journal of Rock Mechanics and Geotechnical Engineering》 EI CSCD 2013年第4期312-317,共6页
A method which adopts the combination of least squares support vector machine（LS-SVM） and Monte Carlo（MC） simulation is used to calculate the foundation settlement reliability.When using LS-SVM,choosing the traini... A method which adopts the combination of least squares support vector machine（LS-SVM） and Monte Carlo（MC） simulation is used to calculate the foundation settlement reliability.When using LS-SVM,choosing the training dataset and the values for LS-SVM parameters is the key.In a representative sense,the orthogonal experimental design with four factors and five levels is used to choose the inputs of the training dataset,and the outputs are calculated by using fast Lagrangian analysis continua（FLAC）.The decimal ant colony algorithm（DACA） is also used to determine the parameters.Calculation results show that the values of the two parameters,and δ2 have great effect on the performance of LS-SVM.After the training of LS-SVM,the inputs are sampled according to the probabilistic distribution,and the outputs are predicted with the trained LS-SVM,thus the reliability analysis can be performed by the MC method.A program compiled by Matlab is employed to calculate its reliability.Results show that the method of combining LS-SVM and MC simulation is applicable to the reliability analysis of soft foundation settlement. 展开更多
关键词 Foundation settlement Reliability analysis Least squares support vector machine（LS-SVM） Monte Carlo（MC） simulation Decimal ant colony algorithm（DACA）
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Bifurcation in most probable phase portraits for a bistable kinetic model with coupling Gaussian and non-Gaussian noises 认领 引用 被引量：2
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作者 Mengjiao HUA Yu WU 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2021年第12期1759-1770,共12页
The phenomenon of stochastic bifurcation driven by the correlated non-Gaussian colored noise and the Gaussian white noise is investigated by the qualitative changes of steady states with the most probable phase portra... The phenomenon of stochastic bifurcation driven by the correlated non-Gaussian colored noise and the Gaussian white noise is investigated by the qualitative changes of steady states with the most probable phase portraits.To arrive at the Markovian approximation of the original non-Markovian stochastic process and derive the general approximate Fokker-Planck equation(FPE),we deal with the non-Gaussian colored noise and then adopt the unified colored noise approximation(UCNA).Subsequently,the theoretical equation concerning the most probable steady states is obtained by the maximum of the stationary probability density function(SPDF).The parameter of the uncorrelated additive noise intensity does enter the governing equation as a non-Markovian effect,which is in contrast to that of the uncorrelated Gaussian white noise case,where the parameter is absent from the governing equation,i.e.,the most probable steady states are mainly controlled by the uncorrelated multiplicative noise.Additionally,in comparison with the deterministic counterpart,some peculiar bifurcation behaviors with regard to the most probable steady states induced by the correlation time of non-Gaussian colored noise,the noise intensity,and the non-Gaussian noise deviation parameter are discussed.Moreover,the symmetry of the stochastic bifurcation diagrams is destroyed when the correlation between noises is concerned.Furthermore,the feasibility and accuracy of the analytical predictions are verified compared with those of the Monte Carlo(MC)simulations of the original system. 展开更多
关键词 stochastic bifurcation non-Gaussian colored noise most probable steady state Fokker-Planck equation(FPE) Monte Carlo(MC)simulation
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Stochastic analysis of load-transfer mechanism of energy piles by random finite difference model 认领 引用 被引量：4
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作者 Chao Shi Yu Wang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2023年第4期997-1010,共14页
The surge in demand for renewable energy to combat the ever-escalating climate crisis promotes development of the energy-saving,carbon saving and reduction technologies.Shallow ground-source heat pump(GSHP)system is a... The surge in demand for renewable energy to combat the ever-escalating climate crisis promotes development of the energy-saving,carbon saving and reduction technologies.Shallow ground-source heat pump(GSHP)system is a promising carbon reduction technology that can stably and effectively exploit subsurface geothermal energy by taking advantage of load-bearing structural elements as heat transfer medium.However,the transformation of conventional geo-structures(e.g.piles)into heat exchangers between the ground and superstructures can potentially induce variable thermal axial stresses and displacements in piles.Traditional energy pile analysis methods often rely on deterministic and homogeneous soil parameter profiles for investigating thermo-mechanical soil-structure interaction,without consideration of soil spatial variability,model uncertainty or statistical uncertainty associated with interpolation of soil parameter profiles from limited site-specific measurements.In this study,a random finite difference model(FDM)is proposed to investigate the thermo-mechanical load-transfer mechanism of energy piles in granular soils.Spatially varying soil parameter profile is interpreted from limited site-specific measurements using Bayesian compressive sensing(BCS)with proper considering of soil spatial variability and other uncertainties in the framework of Monte Carlo simulation(MCS).Performance of the proposed method is demonstrated using an illustrative example.Results indicate that the proposed method enables an accurate evaluation of thermally induced axial stress/displacement and variation in null point(NP)location with quantified uncertainty.A series of sensitivity analyses are also carried out to assess effects of the pile-superstructure stiffness and measurement data number on the performance of the proposed method,leading to useful insights. 展开更多
关键词 Null point(NP)variation Load-transfer mechanism Bayesian compressive sensing(BCS) Heating and cooling Monte Carlo simulation(MCS)
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A neural network solution of first-passage problems 认领 引用
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作者 Jiamin QIAN Lincong CHEN J.Q.SUN 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2024年第11期2023-2036,共14页
This paper proposes a novel method for solving the first-passage time probability problem of nonlinear stochastic dynamic systems.The safe domain boundary is exactly imposed into the radial basis function neural netwo... This paper proposes a novel method for solving the first-passage time probability problem of nonlinear stochastic dynamic systems.The safe domain boundary is exactly imposed into the radial basis function neural network(RBF-NN)architecture such that the solution is an admissible function of the boundary-value problem.In this way,the neural network solution can automatically satisfy the safe domain boundaries and no longer requires adding the corresponding loss terms,thus efficiently handling structure failure problems defined by various safe domain boundaries.The effectiveness of the proposed method is demonstrated through three nonlinear stochastic examples defined by different safe domains,and the results are validated against the extensive Monte Carlo simulations(MCSs). 展开更多
关键词 first-passage time probability nonlinear stochastic dynamic system radial basis function neural network(RBF-NN) safe domain boundary Monte Carlo simulation(MCS)
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Incident duration reliability assessment using Monte-Carlo simulation and kernel density estimation of machine learning-based models 认领 引用
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作者 Lubna Obaid Khaled Hamad Samer Barakat 《International Journal of Transportation Science and Technology》 EI CSCD 2025年第4期157-177,共21页
Traffic incidents are a major cause of non-recurrent congestion and delays,making accu-rate incident duration(ID)prediction essential for effective traffic management.While machine learning(ML)and deep learning(DL)mod... Traffic incidents are a major cause of non-recurrent congestion and delays,making accu-rate incident duration(ID)prediction essential for effective traffic management.While machine learning(ML)and deep learning(DL)models have been developed to predict ID and its sub-periods(verification,response,and clearance times),their reliability has not been systematically assessed.This study introduces a novel framework to evaluate the reli-ability of these predictions using 4000 traffic incident records.Non-parametric kernel den-sity estimation(KDE)effectively captured variations in the data,outperforming traditional parametric methods.Monte Carlo simulation(MCS)was then used to assess prediction reliability.Among the models tested,bagged ensemble trees provided the best balance between accuracy and complexity,showing strong reliability for predicting total ID and sub-periods.Adding 5–25%buffer adjustments further improved reliability by accounting for prediction uncertainties.This framework offers a robust tool for assessing prediction reliability,is adaptable to various ML and DL models,and represents a significant step for-ward in traffic incident management. 展开更多
关键词 Incident duration(ID) Deep learning(ML) Reliability Monte-Carlo simulation(MCS) Kernel density estimation(KDE)
A sequential method for estimating the optical properties of two-layer agro-products from spatially-resolved diffuse reflectance: Simulation 认领 引用 被引量：1
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作者 Aichen Wang Xinhua Wei 《Artificial Intelligence in Agriculture》 EI 2019年第3期69-78,共10页
A sequential method for estimating the optical properties of two-layer biological tissues with spatially-resolved diffuse reflectance was proposed and validated using Monte Carlo simulations.The relationship between t... A sequential method for estimating the optical properties of two-layer biological tissues with spatially-resolved diffuse reflectance was proposed and validated using Monte Carlo simulations.The relationship between the penetration depth of detected photons and source-detector separation was first studied.Photons detected at larger source-detector separations generally penetrated deeper into the medium than those detected at small source-detector separations.The effect of each parameter involved in the two-layer diffusion model(i.e.,the absorption and reduced scattering coefficients(μa andμs′)of each layer,and the thickness of top layer)on reflectance was investigated.It was found that the relationship between the optical properties and thickness of top layer was a critical factor in determining whether photons would have sufficient interactions with the top layer and also penetrate into the bottom layer.The constraints for the proposed sequential estimation method were quantitatively determined by the curve fitting procedure coupledwith error contourmap analyses.Results showed that the optical properties of top layer could be determinedwithin 10%error using the semi-infinite diffusion model for reflectance profiles with properly selected start and end points,when the thickness of top layer was larger than two times its mean free path(mfp′).And the optical properties of the bottom layer could be estimatedwithin 10%error by the two-layer diffusion model,when the thickness of top layerwas b16 times its mfp′.The proposed sequential estimation method is promising for improving the estimation of the optical properties of two-layer tissues from the same spatially-resolved reflectance. 展开更多
关键词 Optical properties Sequential estimation Diffusion model Two-layer Spatially-resolved MC simulation
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