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Numerical Analysis of Bacterial Meningitis Stochastic Delayed Epidemic Model through Computational Methods 认领 引用 被引量：2
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作者 Umar Shafique Mohamed Mahyoub Al-Shamiri +3 位作者 Ali Raza Emad Fadhal Muhammad Rafiq Nauman Ahmed 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第10期311-329,共19页
Based on theWorld Health Organization(WHO),Meningitis is a severe infection of the meninges,the membranes covering the brain and spinal cord.It is a devastating disease and remains a significant public health challeng... Based on theWorld Health Organization(WHO),Meningitis is a severe infection of the meninges,the membranes covering the brain and spinal cord.It is a devastating disease and remains a significant public health challenge.This study investigates a bacterial meningitis model through deterministic and stochastic versions.Four-compartment population dynamics explain the concept,particularly the susceptible population,carrier,infected,and recovered.The model predicts the nonnegative equilibrium points and reproduction number,i.e.,the Meningitis-Free Equilibrium(MFE),and Meningitis-Existing Equilibrium(MEE).For the stochastic version of the existing deterministicmodel,the twomethodologies studied are transition probabilities and non-parametric perturbations.Also,positivity,boundedness,extinction,and disease persistence are studiedrigorouslywiththe helpofwell-known theorems.Standard and nonstandard techniques such as EulerMaruyama,stochastic Euler,stochastic Runge Kutta,and stochastic nonstandard finite difference in the sense of delay have been presented for computational analysis of the stochastic model.Unfortunately,standard methods fail to restore the biological properties of the model,so the stochastic nonstandard finite difference approximation is offered as an efficient,low-cost,and independent of time step size.In addition,the convergence,local,and global stability around the equilibria of the nonstandard computational method is studied by assuming the perturbation effect is zero.The simulations and comparison of the methods are presented to support the theoretical results and for the best visualization of results. 展开更多
关键词 Bacterial Meningitis disease stochastic delayed model stability analysis extinction and persistence computational methods
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Predicting Genotype Information Related to COVID-19 for Molecular Mechanism Based on Computational Methods 认领 引用 被引量：2
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作者 Lejun Gong Xingxing Zhang +1 位作者 Li Zhang Zhihong Gao 《Computer Modeling in Engineering & Sciences》 SCIE EI 2021年第10期31-45,共15页
Novel coronavirus disease 2019(COVID-19)is an ongoing health emergency.Several studies are related to COVID-19.However,its molecular mechanism remains unclear.The rapid publication of COVID-19 provides a new way to el... Novel coronavirus disease 2019(COVID-19)is an ongoing health emergency.Several studies are related to COVID-19.However,its molecular mechanism remains unclear.The rapid publication of COVID-19 provides a new way to elucidate its mechanism through computational methods.This paper proposes a prediction method for mining genotype information related to COVID-19 from the perspective of molecular mechanisms based on machine learning.The method obtains seed genes based on prior knowledge.Candidate genes are mined from biomedical literature.The candidate genes are scored by machine learning based on the similarities measured between the seed and candidate genes.Furthermore,the results of the scores are used to perform functional enrichment analyses,including KEGG,interaction network,and Gene Ontology,for exploring the molecular mechanism of COVID-19.Experimental results show that the method is promising for mining genotype information to explore the molecular mechanism related to COVID-19. 展开更多
关键词 COVID-19 SARS-CoV-2 computational method bioinformatics genotype machine learning
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Bio-Inspired Computational Methods for the Polio Virus Epidemic Model 认领 引用
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作者 Fatimah Abdulrahman Alrawajeh F.M.Allehiany +4 位作者 Ali Raza Shaimaa A.M.Abdelmohsen Tahir Nawaz Cheema Muhammad Rafiq Muhammad Mohsin 《Computers, Materials & Continua》 SCIE EI 2022年第8期2357-2374,共18页
In 2021,most of the developing countries are fighting polio,and parents are concerned with the disabling of their children.Poliovirus transmits from person to person,which can infect the spinal cord,and paralyzes the ... In 2021,most of the developing countries are fighting polio,and parents are concerned with the disabling of their children.Poliovirus transmits from person to person,which can infect the spinal cord,and paralyzes the parts of the body within a matter of hours.According to the World Health Organization(WHO),18 million currently healthy people could have been paralyzed by the virus during 1988–2020.Almost all countries but Pakistan,Afghanistan,and a fewmore have been declared polio-free.The mathematical modeling of poliovirus is studied in the population by categorizing it as susceptible individuals(S),exposed individuals(E),infected individuals(I),and recovered individuals(R).In this study,we study the fundamental properties such as positivity and boundedness of the model.We also rigorously study the model’s stability and equilibria with or without poliovirus.For numerical study,we design the Euler,Runge–Kutta,and nonstandard finite difference method.However,the standard techniques are time-dependent and fail to present the results for an extended period.The nonstandard finite difference method works well to study disease dynamics for a long time without any constraints.Finally,the results of different methods are compared to prove their effectiveness. 展开更多
关键词 Poliovirus modeling stability results computational methods
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Casting computational fluid mechanics into a convex quadratic optimization framework 认领 引用
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作者 Hussam Sababha Haithem Taha Mohammed Daqaq 《Theoretical & Applied Mechanics Letters》 EI CAS CSCD 2026年第3期127-131,共5页
We employ the principle of a minimum pressure gradient to transform problems in unsteady computational fluid dynamics(CFD)into a convex optimization framework subject to linear constraints.This formulation permits sol... We employ the principle of a minimum pressure gradient to transform problems in unsteady computational fluid dynamics(CFD)into a convex optimization framework subject to linear constraints.This formulation permits solving,for the first time,CFD problems efficiently via well-established quadratic programming tools.The proposed approach is demonstrated via three benchmark examples.In particular,through comparison with traditional CFD tools,the proposed framework is capable of predicting the flow field in a lid-driven cavity,in a uniform pipe(Poiseuille flow),and that past a backward facing step.The results highlight the potential of the method as a simple,robust,and potentially transformative alternative to traditional CFD approaches. 展开更多
关键词 Computational methods Convex optimization Variational methods Principle of minimum pressure gradient
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Computational methods for inertial microfluidics:recent advances and future perspectives 认领 引用
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作者 Giuseppe Lauricella Mohammad Moein Naderi +4 位作者 Benjamin Owen Nima Mostafazadeh Jian Zhou Zhangli Peng Ian Papautsky 《Microsystems & Nanoengineering》 SCIE EI CSCD 2025年第5期165-185,共21页
Numerical modeling has played a pivotal role in advancing inertial microfluidics,tracing its development from inception and offering deeper insights into the microscale phenomena governing inertial focusing.These comp... Numerical modeling has played a pivotal role in advancing inertial microfluidics,tracing its development from inception and offering deeper insights into the microscale phenomena governing inertial focusing.These computational approaches have simultaneously supported the proliferation of on-chip technologies.Initially adopted across diverse industries for passive and high-throughput operations such as trapping,separation,and sorting of particles,the greatest potential of inertial microfluidics lies in biomedical applications,where it serves as a cornerstone for processing cells in clinical and research settings.As the range of applications continues to expand,microfluidic devices are evolving into increasingly complex systems capable of handling diverse cell types and particles within miniature chip architectures.This growing complexity necessitates the enhancement of conventional numerical techniques and the integration of innovative computational approaches to address these emerging challenges.This review aims to provide an overview of the available numerical techniques,highlighting their advantages and limitations.We explore recent strides in computational inertial microfluidics,emphasizing advancements within the last four years and the emergence of innovative methodologies such as smoothed particle hydrodynamics.Furthermore,we describe the nascent role of machine learning in inertial microfluidics,noting its limited adoption compared to conventional microfluidics and highlighting the potential to transform the field,as well as challenges that need to be overcome. 展开更多
关键词 computational methods smoothed particle hydrodynamics machine learning inertial microfluidicstracing computational approaches inertial microfluidics numerical modeling
Coupled computational fluiddynamics–discrete-element method investigation of soil contact erosion under cyclic hydraulic loading:A multiscale perspective 认领 引用
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作者 Xianfeng Diao Guoqing Cai +3 位作者 Tao Liu Peiyun Zhang Yanlin Su Bangzheng Rao 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第6期4812-4830,共19页
Tidal waves,intermittent rainfall,and fluctuations in water levels,which create cyclic hydraulic gradients,can exacerbate the migration of fine particles within soils and lead to deterioration in stability.However,mac... Tidal waves,intermittent rainfall,and fluctuations in water levels,which create cyclic hydraulic gradients,can exacerbate the migration of fine particles within soils and lead to deterioration in stability.However,macroscale experimental methods struggle to capture the microscopic deformations that occur during seepage-induced erosion.Therefore,this study,which is based on the coupled computational fluid dynamics–discrete element method(CFD–DEM)coupling method,investigates the contact mechanical mechanisms that induce macroscopic deformation under cyclic hydraulic gradients by considering the effects of different amplitudes and frequencies.The results show that the erosion mass of fine particles increases in a stepwise manner,with a multipeak variation in the erosion rate,and both the erosion amount and intensity are greater under constant gradient conditions.Fine particles erode primarily near the contact surface and,after migration,accumulate mainly in the coarse particle layers close to the contact surface.Increasing the amplitude and frequency of the cyclic hydraulic gradient leads to more fine particle blockages within the coarse particle layer.The cyclic hydraulic gradient causes the contact force chain network to repeatedly break and reorganize,reducing the shear strengths of the soil and resulting in more pronounced anisotropy in the contact force distribution. 展开更多
关键词 Computational fluid dynamics–discrete element method(CFD–DEM)coupling Contact erosion Cyclic hydraulic gradients Macroscopic deformation Micromechanism
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Computational Methods in Quantum Social Science:Innovative Theoretical,Interdisciplinary,and Empirical Approaches 认领 引用
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作者 Changkui LI 《计算社会科学》 2025年第1期1-16,共16页
This paper proposes an innovative approach to social science research based on quantum theory,integrating quantum probability,quantum game theory,and quantum statistical methods into a comprehensive interdisciplinary ... This paper proposes an innovative approach to social science research based on quantum theory,integrating quantum probability,quantum game theory,and quantum statistical methods into a comprehensive interdisciplinary framework for both theoretical and empirical investigation.The study elaborates on how core quantum concepts such as superposition,interference,and measurement collapse can be applied to model social decision making,cognition,and interactions.Advanced quantum computational methods and algorithms are employed to transition from theoretical model development to simulation and experimental validation.Through case studies in international relations,economic games,and political decision making,the research demonstrates that quantum models possess significant advantages in explaining irrational and context-dependent behaviors that traditional methods often fail to capture.The paper also explores the potential applications of quantum social science in policy formulation and public decision making,addresses the ethical,privacy,and social equity challenges posed by quantum artificial intelligence,and outlines future research directions at the convergence of quantum AI,quantum machine learning,and big data analytics.The findings suggest that quantum social science not only offers a novel perspective for understanding complex social phenomena but also lays the foundation for more accurate and efficient systems in social forecasting and decision support. 展开更多
关键词 Quantum Social Science Quantum Probability Quantum Game Theory Quantum Statistics Computational Methods Interdisciplinary Empirical Analysis Social Decision Making
Computational methods in super-resolution microscopy 认领 引用 被引量：5
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作者 Zhi-ping ZENG Hao XIE +4 位作者 Long CHEN Karl ZHANGHAO Kun ZHAO Xu-san YANG Peng XI 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2017年第9期1222-1235,共14页
The broad applicability of super-resolution microscopy has been widely demonstrated in various areas and disciplines. The optimization and improvement of algorithms used in super-resolution microscopy are of great imp... The broad applicability of super-resolution microscopy has been widely demonstrated in various areas and disciplines. The optimization and improvement of algorithms used in super-resolution microscopy are of great importance for achieving optimal quality of super-resolution imaging. In this review, we comprehensively discuss the computational methods in different types of super-resolution microscopy, including deconvolution microscopy, polarization-based super-resolution microscopy, structured illumination microscopy, image scanning microscopy, super-resolution optical fluctuation imaging microscopy, single-molecule localization microscopy, Bayesian super-resolution microscopy, stimulated emission depletion microscopy, and translation microscopy. The development of novel computational methods would greatly benefit super-resolution microscopy and lead to better resolution, improved accuracy, and faster image processing. 展开更多
关键词 Super-resolution microscopy Deconvolution Computational methods
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Recent Advances in Computational Methods for Nuclear Magnetic Resonance Data Processing 认领 引用 被引量：1
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作者 Xin Gao 《Genomics, Proteomics & Bioinformatics》 CAS CSCD 2013年第1期29-33,共5页
Although three-dimensional protein structure determination using nuclear magnetic res- onance （NMR） spectroscopy is a computationally costly and tedious process that would benefit from advanced computational techniq... Although three-dimensional protein structure determination using nuclear magnetic res- onance （NMR） spectroscopy is a computationally costly and tedious process that would benefit from advanced computational techniques, it has not garnered much research attention from special- ists in bioinformatics and computational biology. In this paper, we review recent advances in com- putational methods for NMR protein structure determination. We summarize the advantages of and bottlenecks in the existing methods and outline some open problems in the field. We also dis- cuss current trends in NMR technology development and suggest directions for research on future computational methods for NMR. 展开更多
关键词 Nuclear magnetic resonance Protein structure Computational methods Bioinformatics
Computational Solutions of a Delay-Driven Stochastic Model for Conjunctivitis Spread 认领 引用
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作者 Ali Raza Asad Ullah +3 位作者 Eugénio M.Rocha Dumitru Baleanu Hala H.Taha Emad Fadhal 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第9期3433-3461,共29页
This study investigates the transmission dynamics of conjunctivitis using stochastic delay differential equations(SDDEs).A delayed stochastic model is formulated by dividing the population into five distinct compartme... This study investigates the transmission dynamics of conjunctivitis using stochastic delay differential equations(SDDEs).A delayed stochastic model is formulated by dividing the population into five distinct compartments:susceptible,exposed,infected,environmental irritants,and recovered individuals.The model undergoes thorough analytical examination,addressing key dynamical properties including positivity,boundedness,existence,and uniqueness of solutions.Local and global stability around the equilibrium points is studied with respect to the basic reproduction number.The existence of a unique global positive solution for the stochastic delayed model is established.In addition,a stochastic nonstandard finite difference scheme is developed,which is shown to be dynamically consistent and convergent toward the equilibrium states.The scheme preserves the essential qualitative features of the model and demonstrates improved performance when compared to existing numerical methods.Finally,the impact of time delays and stochastic fluctuations on the susceptible and infected populations is analyzed. 展开更多
关键词 Conjunctivitis disease stochastic delay differential equations(SDDE’s) existence and uniqueness unique global positivity computational methods results
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Towards determining molecular structure with ESI-MS backed by computational methods:structures of subnanoclusters of Pd and Cu chlorides,ion dynamics in vacuum,and challenges to the methodology 认领 引用
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作者 Anton A.Bondarenko Yulia S.Vlasova +2 位作者 Mikhail V.Polynski Valentina V.Ilyushenkova Valentine P.Ananikov 《Inorganic Chemistry Frontiers》 SCIE EI 2022年第20期5279-5295,共17页
Many practically relevant inorganic solution systems have complex compositions with tens or hundreds of distinct species.Here,we present an approach to analyzing ESI-MS spectra combining a set of scripts for peak assi... Many practically relevant inorganic solution systems have complex compositions with tens or hundreds of distinct species.Here,we present an approach to analyzing ESI-MS spectra combining a set of scripts for peak assignment and a quantum chemical methodology for the determination of the structure of selected ions.We selected solutions of CuCl,PdCl2,and the CuCl–PdCl2 mixture as models of popular precatalysts in cross-coupling reactions and the Wacker process that can form“cocktail”-type systems.The spectra exhibited a great number of signals of mono-and bimetallic oligomeric chloride subnanoclusters.Few oligometallic ions had core–shell structures,according to the computations;the structure of most ions was completely unsymmetric,with bridging Cl−ligands supporting the oligomeric structures.Born-Oppenheimer molecular dynamics showed that some ions were structurally flexible under the selected conditions.Many considered ions exhibited rich configurational and conformational isomerism.The activation(polarization)of the N2 molecule(from the drying gas used during electrospray ionization)by some ions was determined by the analysis of electron density distributions.For the first time,we describe a flexible approach for semiautomatic analysis of highly complex mass-spectra of organometallic systems in solution with the possibility of revealing molecular structures. 展开更多
关键词 molecular structure ESI MS wacker process quantum chemical methodology set scripts peak assignment computational methods determination structure selected
A comprehensive evaluation of RNA secondary structures prediction methods 认领 引用
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作者 Xinlong Chen En Lou +2 位作者 Zouchenyu Zhou Ya-Lan Tan Zhi-Jie Tan 《Chinese Physics B》 SCIE EI CAS CSCD 2025年第8期115-127,共13页
RNAs have important biological functions and the functions of RNAs are generally coupled to their structures, especiallytheir secondary structures. In this work, we have made a comprehensive evaluation of the performa... RNAs have important biological functions and the functions of RNAs are generally coupled to their structures, especiallytheir secondary structures. In this work, we have made a comprehensive evaluation of the performances of existingtop RNA secondary structure prediction methods, including five deep-learning (DL) based methods and five minimum freeenergy (MFE) based methods. First, we made a brief overview of these RNA secondary structure prediction methods.Afterwards, we built two rigorous test datasets consisting of RNAs with non-redundant sequences and comprehensivelyexamined the performances of the RNA secondary structure prediction methods through classifying the RNAs into differentlength ranges and different types. Our examination shows that the DL-based methods generally perform better thanthe MFE-based methods for RNAs with long lengths and complex structures, while the MFE-based methods can achievegood performance for small RNAs and some specialized MFE-based methods can achieve good prediction accuracy forpseudoknots. Finally, we provided some insights and perspectives in modeling RNA secondary structures. 展开更多
关键词 RNA secondary structure prediction computational methods comprehensive evaluation traditional methods deep-learning-based methods
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Computational Modeling of Streptococcus Suis Dynamics via Stochastic Delay Differential Equations 认领 引用
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作者 Umar Shafique Ali Raza +4 位作者 Dumitru Baleanu Khadija Nasir Muhammad Naveed Abu Bakar Siddique Emad Fadhal 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第4期449-476,共28页
Streptococcus suis(S.suis)is a major disease impacting pig farming globally.It can also be transferred to humans by eating raw pork.A comprehensive study was recently carried out to determine the indices throughmultip... Streptococcus suis(S.suis)is a major disease impacting pig farming globally.It can also be transferred to humans by eating raw pork.A comprehensive study was recently carried out to determine the indices throughmultiple geographic regions in China.Methods:The well-posed theorems were employed to conduct a thorough analysis of the model’s feasible features,including positivity,boundedness equilibria,reproduction number,and parameter sensitivity.Stochastic Euler,Runge Kutta,and EulerMaruyama are some of the numerical techniques used to replicate the behavior of the streptococcus suis infection in the pig population.However,the dynamic qualities of the suggested model cannot be restored using these techniques.Results:For the stochastic delay differential equations of the model,the non-standard finite difference approach in the sense of stochasticity is developed to avoid several problems such as negativity,unboundedness,inconsistency,and instability of the findings.Results from traditional stochastic methods either converge conditionally or diverge over time.The stochastic non-negative step size convergence nonstandard finite difference(NSFD)method unconditionally converges to the model’s true states.Conclusions:This study improves our understanding of the dynamics of streptococcus suis infection using versions of stochastic with delay approaches and opens up new avenues for the study of cognitive processes and neuronal analysis.Theplotted interaction behaviour and new solution comparison profiles. 展开更多
关键词 Streptococcus suis disease model stochastic delay differential equations(SDDEs) existence and uniqueness Lyapunov function stability results reproduction number computational methods
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Assessment of slurry chamber clogging alleviation during ultra-large-diameter slurry tunnel boring machine tunneling in hard-rock using computational fluid dynamics-discrete element method:A case study 认领 引用 被引量：2
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作者 Yidong Guo Xinggao Li +2 位作者 Dalong Jin Hongzhi Liu Yingran Fang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2025年第8期4715-4734,共20页
To fundamentally alleviate the excavation chamber clogging during slurry tunnel boring machine(TBM)advancing in hard rock,large-diameter short screw conveyor was adopted to slurry TBM of Qingdao Jiaozhou Bay Second Un... To fundamentally alleviate the excavation chamber clogging during slurry tunnel boring machine(TBM)advancing in hard rock,large-diameter short screw conveyor was adopted to slurry TBM of Qingdao Jiaozhou Bay Second Undersea Tunnel.To evaluate the discharging performance of short screw conveyor in different cases,the full-scale transient slurry-rock two-phase model for a short screw conveyor actively discharging rocks was established using computational fluid dynamics-discrete element method(CFD-DEM)coupling approach.In the fluid domain of coupling model,the sliding mesh technology was utilized to describe the rotations of the atmospheric composite cutterhead and the short screw conveyor.In the particle domain of coupling model,the dynamic particle factories were established to produce rock particles with the rotation of the cutterhead.And the accuracy and reliability of the CFD-DEM simulation results were validated via the field test and model test.Furthermore,a comprehensive parameter analysis was conducted to examine the effects of TBM operating parameters,the geometric design of screw conveyor and the size of rocks on the discharging performance of short screw conveyor.Accordingly,a reasonable rotational speed of screw conveyor was suggested and applied to Jiaozhou Bay Second Undersea Tunnel project.The findings in this paper could provide valuable references for addressing the excavation chamber clogging during ultra-large-diameter slurry TBM tunneling in hard rock for similar future. 展开更多
关键词 Slurry tunnel boring machine(TBM) Short screw conveyor Slurry chamber clogging Computational fluid dynamics-discrete element method(CFD-DEM)coupled modeling Engineering application
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Fundamental topics in continuum mechanics:grand ideas,errors and horrors 认领 引用
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作者 G.ROMANO R.BARRETTA 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2026年第5期1131-1156,共26页
Shortly after the middle of the past century,a comprehensive presentation of continuum mechanics was written under the supervision of Clifford Ambrose TruesdellⅢin two volumes of Siegfried Flügge's Handbuch ... Shortly after the middle of the past century,a comprehensive presentation of continuum mechanics was written under the supervision of Clifford Ambrose TruesdellⅢin two volumes of Siegfried Flügge's Handbuch der Physik;a first volume in 1960 with Richard Toupin on The Classical Field Theories(the monster),including an Appendix on Tensor Analysis by Jerald La Verne Ericksen,and a second volume in 1965 with Walter Noll on The Non-Linear Field Theories of Mechanics(the monsterino).Both nicknames were due to Truesdell.These contributions were gradually taken as turning points by the mechanics community worldwide,due to the completeness of the analysis and the profoundness of the documentation.However,the vastness of the treatment acted as a shield against careful reasoning on delicate but basic notions.In the wake of some 19th-century scholars,these notions were taken to be worthy of belief and incorporated into the presentation with a valuable historical background.A lack of engineering perspective discouraged the necessary caution when addressing a number of issues.Scholars in continuum mechanics,fascinated by the monumental work conceived and carried out by Truesdell and his associates,did not dare to make any accurate revisions.The analysis is here centered on unsatisfactory formulations that are presently disseminated in the literature by followers of Truesdell's magnum opus.The geometric approach in fourdimensional(4D)Euclidean spacetime adopted here is self-contained even in the classical context,providing clarity of notions,methods,and results unachievable via the more familiar but less powerful and error-prone three-dimensional(3D)treatment. 展开更多
关键词 motion in spacetime material and spatial bundle superposed rigid body motion change of observer material frame indifference(MFI) continuum with microstructure alleged referential equilibrium rate elasticity computational method
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A computational method for post-construction settlement of high-speed railway bridge pile foundation considering soil creep effect 认领 引用 被引量：13
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作者 冯胜洋 魏丽敏 +1 位作者 何重阳 何群 《Journal of Central South University》 SCIE EI CAS 2014年第7期2921-2927,共7页
Based on reasonable assumptions that simplified the calculational model,a simple and practical method was proposed to calculate the post-construction settlement of high-speed railway bridge pile foundation by using th... Based on reasonable assumptions that simplified the calculational model,a simple and practical method was proposed to calculate the post-construction settlement of high-speed railway bridge pile foundation by using the Mesri creep model to describe the soil characteristics and the Mindlin-Geddes method considering pile diameter to calculate the vertical additional stress of pile bottom.A program named CPPS was designed for this method to calculate the post-construction settlement of a high-speed railway bridge pile foundation.The result indicates that the post-construction settlement in 100 years meets the requirements of the engineering specifications,and in the first two decades,the post-construction settlement is about 80% of its total settlement,while the settlement in the rest eighty years tends to be stable.Compared with the measured settlement after laying railway tracks,the calculational result is closed to that of the measured,and the results are conservative with a high computational accuracy.It is noted that the method can be used to calculate the post-construction settlement for the preliminary design of high-speed railway bridge pile foundation. 展开更多
关键词 high-speed railway bridge pile foundation post-construction settlement Mesri creep model simplified computational method
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A fast computational method for the landing footprints of space-to-ground vehicles 认领 引用 被引量：2
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作者 LIU Qingguo LIU Xinxue +1 位作者 WU Jian LI Yaxiong 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2020年第5期1062-1076,共15页
Fast computation of the landing footprint of a space-to-ground vehicle is a basic requirement for the deployment of parking orbits, as well as for enabling decision makers to develop real-time programs of transfer tra... Fast computation of the landing footprint of a space-to-ground vehicle is a basic requirement for the deployment of parking orbits, as well as for enabling decision makers to develop real-time programs of transfer trajectories. In order to address the usually slow computational time for the determination of the landing footprint of a space-to-ground vehicle under finite thrust, this work proposes a method that uses polynomial equations to describe the boundaries of the landing footprint and uses back propagation(BP) neural networks to quickly determine the landing footprint of the space-to-ground vehicle. First, given orbital parameters and a manoeuvre moment, the solution model of the landing footprint of a space-to-ground vehicle under finite thrust is established. Second, given arbitrary orbital parameters and an arbitrary manoeuvre moment, a fast computational model for the landing footprint of a space-to-ground vehicle based on BP neural networks is provided.Finally, the simulation results demonstrate that under the premise of ensuring accuracy, the proposed method can quickly determine the landing footprint of a space-to-ground vehicle with arbitrary orbital parameters and arbitrary manoeuvre moments. The proposed fast computational method for determining a landing footprint lays a foundation for the parking-orbit configuration and supports the design of real-time transfer trajectories. 展开更多
关键词 space-to-ground vehicle landing footprint back propagation(BP)neural network fast computational method Pontryagin's minimum principle
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Computational Fluid Dynamics Uncertainty Analysis for Simulations of Roll Motions for a 3D Ship 认领 引用 被引量：8
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作者 朱仁传 杨春蕾 +1 位作者 缪国平 范菊 《Journal of Shanghai Jiaotong university(Science)》 EI 2015年第5期591-599,共9页
The roll motions are influenced by significant viscous effects such as the flow separation.The 3D simulations of free decay roll motions for the ship model DTMB 5512 are carried out by Reynold averaged NavierStokes(RA... The roll motions are influenced by significant viscous effects such as the flow separation.The 3D simulations of free decay roll motions for the ship model DTMB 5512 are carried out by Reynold averaged NavierStokes(RANS) method based on the dynamic mesh technique.A new moving mesh technique is adopted and discussed in details for the present simulations.The purpose of the research is to obtain accurate numerical prediction for roll motions with their respective numerical/modeling errors and uncertainties.Errors and uncertainties are estimated by performing the modern verification and validation(V&V) procedures.Simulation results for the free-floating surface combatant are used to calculate the linear,nonlinear damping coefficients and resonant frequencies including a wide range of forward speed.The present work can provide a useful reference to calculate roll damping by computational fluid dynamics(CFD) method and simulate a general ship motions in waves. 展开更多
关键词 Reynold averaged Navier-Stokes（RANS） method free decay forced roll computational fluid dynamics uncertainty
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Protein-protein interactions: Methods, databases, and applications in virus-host study 认领 引用 被引量：6
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作者 Qurat ul Ain Farooq Zeeshan Shaukat +1 位作者 Sara Aiman Chun-Hua Li 《World Journal of Virology》 2021年第6期288-300,共13页
Almost all the cellular processes in a living system are controlled by proteins:They regulate gene expression,catalyze chemical reactions,transport small molecules across membranes,and transmit signal across membranes... Almost all the cellular processes in a living system are controlled by proteins:They regulate gene expression,catalyze chemical reactions,transport small molecules across membranes,and transmit signal across membranes.Even,a viral infection is often initiated through virus-host protein interactions.Protein-protein interactions(PPIs)are the physical contacts between two or more proteins and they represent complex biological functions.Nowadays,PPIs have been used to construct PPI networks to study complex pathways for revealing the functions of unknown proteins.Scientists have used PPIs to find the molecular basis of certain diseases and also some potential drug targets.In this review,we will discuss how PPI networks are essential to understand the molecular basis of virus-host relationships and several databases which are dedicated to virus-host interaction studies.Here,we present a short but comprehensive review on PPIs,including the experimental and computational methods of finding PPIs,the databases dedicated to virus-host PPIs,and the associated various applications in protein interaction networks of some lethal viruses with their hosts. 展开更多
关键词 Protein-protein interactions Experimental and computational methods Protein-protein interaction networks Protein-protein interaction databases Disease pathways Protein-protein interaction applications
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Applications of Soft Computing Methods in Backbreak Assessment in Surface Mines: A Comprehensive Review 认领 引用
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作者 Mojtaba Yari Manoj Khandelwal +3 位作者 Payam Abbasi Evangelos I.Koutras Danial Jahed Armaghani Panagiotis G.Asteris 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第9期2207-2238,共32页
Geo-engineering problems are known for their complexity and high uncertainty levels,requiring precise defini-tions,past experiences,logical reasoning,mathematical analysis,and practical insight to address them effecti... Geo-engineering problems are known for their complexity and high uncertainty levels,requiring precise defini-tions,past experiences,logical reasoning,mathematical analysis,and practical insight to address them effectively.Soft Computing(SC)methods have gained popularity in engineering disciplines such as mining and civil engineering due to computer hardware and machine learning advancements.Unlike traditional hard computing approaches,SC models use soft values and fuzzy sets to navigate uncertain environments.This study focuses on the application of SC methods to predict backbreak,a common issue in blasting operations within mining and civil projects.Backbreak,which refers to the unintended fracturing of rock beyond the desired blast perimeter,can significantly impact project timelines and costs.This study aims to explore how SC methods can be effectively employed to anticipate and mitigate the undesirable consequences of blasting operations,specifically focusing on backbreak prediction.The research explores the complexities of backbreak prediction and highlights the potential benefits of utilizing SC methods to address this challenging issue in geo-engineering projects. 展开更多
关键词 Backbreak blasting soft computing methods prediction theory-guided machine learning
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