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| 1 | Two-scale analysis method for predicting heat transfer performance of composite materials with random grain distribution显示文摘A two-scale analysis (TSA) method for predicting the heat transfer performance of composite materials with the random distribution of same-scale grains is presented. First the representation of the materials with the random distribution is briefly described. Then the two-scale analysis formulation of heat transfer behavior of the materials with random grain distribution of small periodicity is formally derived by means of construction way for each cell. Finally the numerical result on the heat transfer parameters of composite materials is shown. The numerical result shows that TSA is effective to predict the heat transfer performance of composite materials with random grain distribution. | LI Youyun CUI Junzhi | 2004 | Science China Mathematics2004，47，z1： | 12 |
| 2 | Atom-continuum coupled model for thermo-mechanical behavior of materials in micro-nano scales显示文摘In this paper,an atom-continuum coupled model for thermo-mechanical behaviors in micro-nano scales is presented.A representative volume element consisting of atom clusters is used to represent the microstructure of materials.The atom motions in the RVE are divided into two phases,structural deformations and thermal vibrations.For the structural deformations,nonlinear and nonlocal deformation at atomic scales is considered.The atomistic-continuum equations are constructed based on momentum and energy conservation law.The non-locality and nonlinearity of atomistic interactions are built into the thermo-mechanical constitutive equations.The coupled atomistic-continuum thermal-mechanical simulation process is also suggested in this work. | XIANG MeiZhen CUI JunZhi LI BoWen TIAN Xia | 2012 | Science China(Physics,Mechanics & Astronomy)2012，55，6： | 5 |
| 3 | Multiscale Nonlinear Thermo-Mechanical Coupling Analysis of Composite Structures with Quasi-Periodic Properties显示文摘This paper reports a multiscale analysis method to predict the thermomechanical coupling performance of composite structures with quasi-periodic properties.In these material structures,the configurations are periodic,and the material coefficients are quasi-periodic,i.e.,they depend not only on the microscale information but also on the macro location.Also,a mutual interaction between displacement and temperature fields is considered in the problem,which is our particular interest in this study.The multiscale asymptotic expansions of the temperature and displacement fields are constructed and associated error estimation in nearly pointwise sense is presented.Then,a finite element-difference algorithm based on the multiscale analysis method is brought forward in detail.Finally,some numerical examples are given.And the numerical results show that the multiscale method presented in this paper is effective and reliable to study the nonlinear thermo-mechanical coupling problem of composite structures with quasiperiodic properties. | Zihao Yang Liang Ma Qiang Ma Junzhi Cui Yufeng Nie Hao Dong Xiaohong An | 2017 | Computers, Materials & Continua2017，，3： | 2 |
| 4 | Interior Hlder and gradient estimates for the homogenization of the linear elliptic equations显示文摘Hlder and gradient estimates for the correctors in the homogenization are presented based on the translation invariance and Li-Vogelius's gradient estimate.If the coefficients are piecewise smooth and the homogenized solution is smooth enough,the interior error of the first-order expansion is O(ε) in the Hlder norm;it is O(ε) in W 1,∞ based on the Avellaneda-Lin's gradient estimate when the coefficients are Lipschitz continuous.These estimates can be partly extended to the nonlinear parabolic equations. | ZHANG QiaoFu CUI JunZhi | 2013 | Science China Mathematics2013，56，8： | 2 |
| 5 | Second-order two-scale method for bending behavior analysis of composite plate with 3-D periodic configuration and its approximation显示文摘This paper considers the bending behaviors of composite plate with 3-D periodic configuration.A second-order two-scale(SOTS)computational method is designed by means of construction way.First,by 3-D elastic composite plate model,the cell functions which are defined on the reference cell are constructed.Then the effective homogenization parameters of composites are calculated,and the homogenized plate problem on original domain is defined.Based on the Reissner-Mindlin deformation pattern,the homogenization solution is obtained.And then the SOTS’s approximate solution is obtained by the cell functions and the homogenization solution.Second,the approximation of the SOTS’s solution in energy norm is analyzed and the residual of SOTS’s solution for 3-D original in the pointwise sense is investigated.Finally,the procedure of SOTS’s method is given.A set of numerical results are demonstrated for predicting the effective parameters and the displacement and strains of composite plate.It shows that SOTS’s method can capture the 3-D local behaviors caused by3-D micro-structures well. | WANG ZiQiang CUI JunZhi | 2014 | Science China Mathematics2014，57，8： | 1 |
| 6 | Macroscopic damping model for structural dynamics with random polycrystalline configurations显示文摘In this paper the macroscopic damping model for dynamical behavior of the structures with random polycrystalline configurations at micro–nano scales is established.First, the global motion equation of a crystal is decomposed into a set of motion equations with independent single degree of freedom(SDOF) along normal discrete modes, and then damping behavior is introduced into each SDOF motion.Through the interpolation of discrete modes, the continuous representation of damping effects for the crystal is obtained.Second, from energy conservation law the expression of the damping coefficient is derived, and the approximate formula of damping coefficient is given. Next, the continuous damping coefficient for polycrystalline cluster is expressed,the continuous dynamical equation with damping term is obtained, and then the concrete damping coefficients for a polycrystalline Cu sample are shown. Finally, by using statistical two-scale homogenization method, the macroscopic homogenized dynamical equation containing damping term for the structures with random polycrystalline configurations at micro–nano scales is set up. | Yantao Yang Junzhi Cui Yifan Yu Meizhen Xiang | 2018 | Acta Mechanica Sinica2018，34，3： | 1 |
| 7 | COVID-19 vaccines: progress and understanding on quality control and evaluation显示文摘The outbreak of COVID-19 has posed a huge threat to global health and economy.Countermeasures have revolutionized norms for working,socializing,learning,and travel.Importantly,vaccines have been considered as most effective tools to combat with COVID-19.As of the beginning of 2021,>200 COVID-19 vaccine candidates,covering nearly all existing technologies and platforms,are being research and development(R&D)by multiple manufacturers worldwide.This has posed a huge obstacle to the quality control and evaluation of those candidate vaccines,especially in China,where five vaccine platforms are deployed in parallel.To accelerate the R&D progress of COVID-19 vaccines,the guidances on R&D of COVID-19 vaccine have been issued by National Regulatory Authorities or organizations worldwide.The Center for Drug Evaluation and national quality control laboratory in China have played a leading role in launching the research on quality control and evaluation in collaboration with relevant laboratories involved in the vaccine R&D,which greatly supported the progression of vaccines R&D,and accelerated the approval for emergency use and conditional marketing of currently vaccine candidates.In this paper,the progress and experience gained in quality control and evaluation of COVID-19 vaccines developed in China are summarized,which might provide references for the R&D of current and next generation of COVID-19 vaccines worldwide. | Qunying Mao Miao Xu Qian He Changgui Li Shufang Meng Yiping Wang Bopei Cui Zhenglun Liang Junzhi Wang | 2021 | Signal Transduction and Targeted Therapy2021，6，6： | 1 |
| 8 | Second-Order Two-Scale Analysis Method for the Heat Conductive Problem with Radiation Boundary Condition in Periodical Porous Domain显示文摘In this paper a second-order two-scale(SOTS)analysismethod is developed for a static heat conductive problem in a periodical porous domain with radiation boundary condition on the surfaces of cavities.By using asymptotic expansion for the temperature field and a proper regularity assumption on the macroscopic scale,the cell problem,effective material coefficients,homogenization problem,first-order correctors and second-order correctors are obtained successively.The characteristics of the asymptotic model is the coupling of the cell problems with the homogenization temperature field due to the nonlinearity and nonlocality of the radiation boundary condition.The error estimation is also obtained for the original solution and the SOTS’s approximation solution.Finally the corresponding finite element algorithms are developed and a simple numerical example is presented. | Qiang Ma Junzhi Cui | 2013 | Communications in Computational Physics2013，14，9： | 1 |
| 9 | A Multiscale Algorithm for Heat Conduction-Radiation Problems in Porous Materials with Quasi-Periodic Structures显示文摘This paper develops a second-order multiscale asymptotic analysis and numerical algorithms for predicting heat transfer performance of porous materials with quasi-periodic structures.In these porousmaterials,they have periodic configurations and associated coefficients are dependent on the macro-location.Also,radiation effect at microscale has an important influence on the macroscopic temperature fields,which is our particular interest in this study.The characteristic of the coupled multiscale model between macroscopic scale and microscopic scale owing to quasi-periodic structures is given at first.Then,the second-ordermultiscale formulas for solving temperature fields of the nonlinear problems are constructed,and associated explicit convergence rates are obtained on some regularity hypothesis.Finally,the corresponding finite element algorithms based on multiscale methods are brought forward and some numerical results are given in detail.Numerical examples including different coefficients are given to illustrate the efficiency and stability of the computational strategy.They show that the expansions to the second terms are necessary to obtain the thermal behavior precisely,and the local and global oscillations of the temperature fields are dependent on the microscopic and macroscopic part of the coefficients respectively. | Zhiqiang Yang Yi Sun Junzhi Cui Xiao Li | 2018 | Communications in Computational Physics2018，24，6： | 1 |
| 10 | Global Top Ten Engineering Achievements 2022显示文摘Engineering is an integrated activity in which humans create or change the characters of things by using science and technology and employing resources in an organized manner in order to survive,develop,and achieve specific purposes[1].From the pyramids in ancient Egypt to the Eiffel Tower in modern Paris,and from the Apollo Manned Lunar Landing Project in the United States to the Three Gorges Key Water Conservancy Project in China,human engineering practices profoundly change the planet we live on and are constantly enriching and expanding our world. | Junzhi Cui Jian-Feng Chen | 2022 | Engineering2022，，12： | 0 |
| 11 | A new method for modeling thermo-mechanical behaviors of polycrystalline aggregates显示文摘We present in this paper a numerical algorithm that couples the atomistic and continuum models for the thermal-mechanical coupled problem of polycrystalline aggregates.The key point is that the conservation laws should be satisfied for both the atomistic and continuum models at the microscale.Compared with the traditional methods which construct the constitutive equations of the grain interiors and grain boundaries by continuum mechanics,our model calculates the continuum fluxes through molecular dynamics simulations,provided that the atomistic simulations are consistent with the local microstate of the system.For the grain interiors without defects,central schemes are available for solving the conservation laws and the constitutive parameters can be obtained via molecular dynamics simulations.For the grain boundary structures,the front tracking method is employed because the solutions of the conservation equations are discontinuous near the defects.Firstly,appropriate control volumes are chosen at both sides of the interface,then the finite volume method is applied to solve the continuum equations in each control volume.Fluxes near both sides of the interface are calculated via atomistic simulations.Therefore,all thermo-mechanical information can be obtained. | TIAN Xia CUI JunZhi LI BoWen | 2012 | Science China(Physics,Mechanics & Astronomy)2012，55，11： | 0 |
| 12 | Global Top Ten Engineering Achievements 2021显示文摘Engineering is a direct productive force for mankind to change the world.Throughout the ages,mankind has created countless amazing engineering achievements,promoting profound changes in the whole society and pushing human civilization to a new higher stage[1].To motivate engineering progress and innovation and draw global attention to engineering science and technology. | Junzhi Cui | 2021 | Engineering2021，7，12： | 0 |
| 13 | A Mixed Wavelet-Learning Method of Predicting Macroscopic Effective Heat Transfer Conductivities of Braided Composite Materials显示文摘In this paper,a novel mixed wavelet-learning method is developed for predicting macroscopic effective heat transfer conductivities of braided composite materials with heterogeneous thermal conductivity.This innovative methodology integrates respective superiorities of multi-scale modeling,wavelet transform and neural networks together.By the aid of asymptotic homogenization method(AHM),off-line multi-scalemodeling is accomplished for establishing thematerial databasewith highdimensional and highly-complexmappings.Themulti-scalematerial database and the wavelet-learning strategy ease the on-line training of neural networks,and enable us to efficiently build relatively simple networks that have an essentially increasing capacity and resisting noise for approximating the high-complexity mappings.Moreover,it should be emphasized that the wavelet-learning strategy can not only extract essential data characteristics from the material database,but also achieve a tremendous reduction in input data of neural networks.The numerical experiments performed using multiple 3D braided composite models verify the excellent performance of the presentedmixed approach.The numerical results demonstrate that themixedwaveletlearningmethodology is a robustmethod for computing themacroscopic effective heat transfer conductivities with distinct heterogeneity patterns.The presentedmethod can enormously decrease the computational time,and can be further expanded into estimating macroscopic effective mechanical properties of braided composites. | Hao Dong Wenbo Kou Junyan Han Jiale Linghu Minqiang Zou Junzhi Cui | 2022 | Communications in Computational Physics2022，31，2： | 0 |
| 14 | Prediction on nonlinear mechanical performance of random particulate composites by a statistical second-order reduced multiscale approach显示文摘A novel statistical second-order reduced multiscale(SSRM)approach is established for nonlinear composite materials with random distribution of grains.For these composites considered in this work,the complex microstructure of grains,including their shape,orientation,size,spatial distribution,volume fraction and so on,results in changing of the macroscopic mechanical properties.The first-and second-order unit cell functions based on two-scale asymptotic expressions are constructed at first.Then,the expected homogenized parameters are defined,and the nonlinear homogenization equation on global structure is established,successively.Further,an effective reduced model format for analyzing second-order nonlinear unit cell problem with less computation cost is introduced in detail.Finally,some numerical examples for the materials with varying distribution models are evaluated and compared with the data by theoretical models and experimental results.These examples illustrate that the proposed SSRM approaches are effective for predicting the macroscopic properties of the random composite materials and supply a potential application in actual engineering computation. | Zhiqiang Yang Yi Sun Yizhi Liu Junzhi Cui | 2021 | Acta Mechanica Sinica2021，37，4： | 0 |
| 15 | Dynamic thermo-mechanical coupled simulation of statistically inhomogeneous materials by statistical second-order two-scale method显示文摘In this paper,a statistical second-order twoscale(SSOTS) method is developed to simulate the dynamic thcrmo-mechanical performances of the statistically inhomogeneous materials.For this kind of composite material,the random distribution characteristics of particles,including the shape,size,orientation,spatial location,and volume fractions,are all considered.Firstly,the repre.sentation for the microscopic configuration of the statistically inhomogeneous materials is described.Secondly,the SSOTS formulation for the dynamic thermo-mechanical coupled problem is proposed in a constructive way,including the cell problems,effective thermal and mechanical parameters,homogenized problems,and the SSOTS formulas of the temperatures,displacements,heat flux densities and stresses.And then the algorithm procedure corresponding to the SSOTS method is brought forward.The numerical results obtained by using the SSOTS algorithm are compared with those by classical methods.In addition,the thermo-mechanical coupling effect is studied by comparing the results of coupled case with those of uncoupled case.It demonstrates that the coupling effect on the temperatures,heat flux densities,displacements,and stresses is very distinct.The results show that the SSOTS method is valid to predict the dynamic thermo-mechanical coupled performances of statistically inhomogeneous materials. | Zihao Yang Junzhi Cui Yufeng Nie Zhiqiang Huang Meizhen Xiang | 2015 | Acta Mechanica Sinica2015，31，5： | 0 |
| 16 | Second-order two-scale computational method for ageing linear viscoelastic problem in composite materials with periodic structure显示文摘The correspondence principle is an important mathematical technique to compute the non-ageing linear viscoelastic problem as it allows to take advantage of the computational methods originally developed for the elastic case. However, the correspondence principle becomes invalid when the materials exhibit ageing. To deal with this problem, a second-order two-scale(SOTS) computational method in the time domain is presented to predict the ageing linear viscoelastic performance of composite materials with a periodic structure. First, in the time domain, the SOTS formulation for calculating the effective relaxation modulus and displacement approximate solutions of the ageing viscoelastic problem is formally derived. Error estimates of the displacement approximate solutions for SOTS method are then given. Numerical results obtained by the SOTS method are shown and compared with those by the finite element method in a very fine mesh. Both the analytical and numerical results show that the SOTS computational method is feasible and efficient to predict the ageing linear viscoelastic performance of composite materials with a periodic structure. | Yang ZHANG Junzhi CUI Yufeng NIE | 2016 | Applied Mathematics and Mechanics(English Edition)2016，37，2： | 0 |
| 17 | 2023全球十大工程成就发布显示文摘Engineering benefits humanity,and technology creates the future.Linking scientific discoveries,technological inventions,and industrial innovation,engineering technology is an important driving force for economic and social development and a key support for addressing global risks and challenges.Today,in the early 21st century,a new round of technological revolution and industrial transformation is continuing to evolve,and engineering technology innovation has entered a dense and active cycle,especially in fields such as information technology,energy technology,biotechnology,advanced manufacturing,and space exploration.Groundbreaking achievements in engineering innovation are constantly emerging. | Junzhi Cui Jian-Feng Chen | 2023 | Engineering2023，31，12： | 0 |
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