CV- Fei Han Curriculum Vitae Fei Han Research Scientist COHMAS Lab, Mechanical Engineering Department, PSE Division, KAUST, Saudi Arabia Mobile: +966 (0) 545 521 730 E-mail: fei.han@kaust.edu.sa Homepage: http://cohmas.kaust.edu.sa/Pages/Han.aspx Education 2006.9-2010.7 Ph. D., Applied Mathematics. Northwestern Polytechnical University, Xi’an, China. 2003.9-2006.7 M. S., Applied Mathematics. Northwestern Polytechnical University, Xi’an, China. 1999.9-2003.7 B. S., Information and Computing Science. Northwestern Polytechnical University, Xi’an, China. Professional Employment Research Scientist, COHMAS Lab, Mechanical Engineering Department, KAUST, Saudi Arabia. 2010.8-2014.12 Postdoctoral Fellow, COHMAS Lab, Mechanical Engineering Department, KAUST, Saudi Arabia. 2015.1-Now Teaching Experience 2008.9-2009.2, Exercise Lessons of Infinitesimal Calculus, for freshmen, School of Aeronautics, Northwestern Polytechnical University, Xi’an, China. Awards and Certificates Awards: 1. Fei Han, Third place, Scientific Story behind Image Category, First IEEE Scientific Photo Competition 2014, KAUST. Certificates: 1. Fei Han, A two-day Proposal Writing Workshop, the office of Research Services, KAUST, 2014. 2. Fei Han, Online Lab Safety Training, KAUST, 2014. 3. Fei Han, Online Emergency and Crisis Management Overview, KAUST, 2014. 4. Fei Han, Fire Extinguisher Training, KAUST, 2014. CV- Fei Han Presentations in conferences and workshops 1. Fei Han, Yan Azdoud, Gilles Lubineau, Objective simulation of failure by a synergetic usage of hybrid local/non-local continuum model, 11th. World Congress on Computational Mechanics (WCCM XI) and 5th. European Conference on Computational Mechanics (ECCM V), 2014, Barcelona, Spain. 2. Gilles Lubineau, Fei Han, Yan Azdoud, Application of the Morphing technique in coupled local/non-local solid mechanics simulations, 17th U.S. National Congress on Theoretical and Applied Mechanics, 2014, Michigan State University, USA. 3. Fei Han, Yan Azdoud, Gilles Lubineau, Predictive computational modeling of elastic properties of carbon nanotube/polymer composites by classical continuum and nonlocal elastic models, 12th US National Congress on Computational Mechanics, 2013, Raleigh, NC, USA. 4. Fei Han, Gilles Lubineau, Coupling non-local and local continuum models by the Arlequin approach, 11th US National Congress on Computational Mechanics, 2011, Minneapolis, MN, USA. 5. Fei Han, Junzhi Cui, Yan Yu, Prediction for mechanical properties of core-shell particle-filled polymers via statistical two-scale method, International Symposium on Computational Mechanics, 2007, Beijing, China. Student advising 1. 2014.01~Now, Angel Mora Cordova‎, implementation and C++ programming. Advising on numerical algorithm Service & Society Memberships  Serviced as a reviewer for the following Journals:  International Journal of Mechanical Sciences (Elsevier)  International Journal for Numerical Methods in Engineering (Wiley)  Applied Mathematical Modelling (Elsevier)  International Journal of Solids and Structures (Elsevier)  Acta Mechanica Sinica (Springer)  International Journal of Heat and Mass Transfer (Elsevier)  CMES: Computer Modeling in Engineering & Sciences Conference & Workshop Organizing  As a member of committee organizing Computational and Experimental Mechanics of Advanced Materials (CEMAM) workshop, 2013, KAUST, Saudi Arabia.  As a member of committee organizing Recent Trends in Predicting and Monitoring the Integrity of Composites (COMINT) workshop, 2015, KAUST, Saudi Arabia. Participation in Research Projects 2015-2017 Supported by SABIC Company, Project Title: Optimizing Microstructures CV- Fei Han for Conductive Nano-composites: Achieving Better Efficiency with Fewer Nanoparticles. 2010-2015 Supported by Boeing Company, Sub-Project Title: Development of robust peridynamics framework: Computational Techniques and Material Modeling, Project Title: Analysis Methods for Multifunction Composites Materials used in presence of Electromagnetic Effect. 2012-2013 Supported by Boeing Company, Project Title: Multi-functional Polymeric Materials (MPM) for Reduced Weight of Airplane Interior Materials, Improved Fuel Efficiency and Decreased Fabrication Costs - Materials, Modeling and Processing. 2005-2010 The State Key Development Program for Basic Research of China, Grant No. 2005CB321704, Sub-Project Title: Study on Multi-physical and Multi-scale Computation of Physical Properties of Materials, Project Title: Study on High Performance Scientific Computing. 2005-2009 The Major Program of the National Nature Science Foundation of China, Grant No. 10590353, Sub-Project Title: The Multi-scale Model and Computing Method for Predicting Performance of Materials and Products, Project Title: The key Mechanical and Engineering Problems in the Progress of Polymer Molding and Mold Design. Publications Book chapters (invited): 1. Yan Azdoud, Fei Han, David Littlewood, Gilles Lubineau, Pablo Seleson. Chapter: Coupling local and non-local models. In The Handbook of Peridynamics. F. Bobaru, J.T. Foster, P. Geubelle and S.A. Silling Eds. Series: Modern Mechanics and Mathematics. Publisher: Taylor & Francis/CRC Press. to appear in 2015 2. Abe Askari, Yan Azdoud, Fei Han, Gilles Lubineau, Stewart Silling. Chapter 12: Peridynamics for analysis of failure in advanced composite materials. In Numerical Modelling of Failure in Advanced Composite Materials. S. Hallett and P. Camanho Eds. Publisher: Woodhead publishing. Pages: 331-350, 2015. http://dx.doi.org/10.1016/B978-008-100332-9.00012-8 International Journals: 1. Yan Azdoud, Fei Han, Gilles Lubineau. The morphing method as a flexible tool for adaptive local/non-local simulation of static fracture, Computational Mechanics, 2014, 2014, 54(3), 711-722. 2. Fei Han, Yan Azdoud, Gilles Lubineau. Computational modeling of elastic properties of carbon nanotube/polymer composites with interphase regions. Part I: Microstructural characterization and geometric modeling, Computational Materials Science, 2014, 81, 641-651. 3. Fei Han, Yan Azdoud, Gilles Lubineau. Computational modeling of elastic properties of carbon nanotube/polymer composites with interphase regions. Part II: Mechanical CV- Fei Han modeling, Computational Materials Science, 2014, 81, 652-661. 4. Yan Azdoud, Fei Han, Gilles Lubineau. A morphing framework to couple non-local and local anisotropic continua, International Journal of Solids and Structures, 2013, 50, 1332-1341. 5. Gilles Lubineau, Yan Azdoud, Fei Han, Christian Rey, Abe Askari. A morphing strategy to couple non-local to local continuum mechanics, Journal of the Mechanics and Physics of Solids, 2012, 60, 1088-1102. 6. Fei Han, Gilles Lubineau. Coupling of non-local and local continuum models by the Arlequin approach, International Journal for Numerical Methods in Engineering, 2012, 89, 671-685. 7. Fei Han, Junzhi Cui, Yan Yu, The statistical second-order two-scale method for mechanical properties of statistically inhomogeneous materials, International Journal for Numerical Methods in Engineering, 2010, 84, 972–988. 8. Fei Han, Junzhi Cui, Yan Yu, The statistical second-order two-scale method for thermomechanical properties of statistically inhomogeneous materials, Computational Materials Science, 2009, 46(3): 654-659. 9. Fei Han, Junzhi Cui, Yan Yu, Prediction on mechanical parameters of inconsistently random composites by statistical second-order two-scale method, Acta Physica Sinica, 2009, 58(13): S1-S7. (In Chinese) 10. Yan Yu, Junzhi Cui, Fei Han, The statistical second-order two-scale analysis method for heat conduction performances of the composite structure with inconsistent random distribution, Computational Materials Science, 2009, 46(1): 151-161. 11. Fei Han, Junzhi Cui, Yan Yu, The statistical two-order and two-scale method for predicting the mechanics parameters of core-shell particle-filled polymer composites. Interaction and Multiscale Mechanics, 2008, 1(2): 231-250. (Invited Paper) 12. Yan Yu, Junzhi Cui, Fei Han, An effective computer generation method for the composites with random distribution of large numbers of heterogeneous grains, Composites Science and Technology, 2008, 68(12): 2543-2550. 13. Yan Yu, Junzhi Cui, Fei Han and Yun Chen, The two-order and two-scale method for heat conduction properties of composite materials with random distribution of grains, Computer and Experimental Simulations in Engineering and Science(CESES), 2008, 2: 19-34. Conference proceedings: 1. Junzhi Cui, Fei Han, Yanjing Shan, Statistical multi-scale method of mechanics parameter prediction for rock mass with random cracks/joints distribution, Computational Structural Engineering, Proceedings of the International Symposium on Computational Structural Engineering, Shanghai, China, 2009. 2. Junzhi Cui, Fei Han, Yanjing Shan, Statistical multi-scale method of mechanics parameter prediction for rock mass, Rock Engineering in Difficult Conditions, Proceedings of the 3rd CANUS Rock Mechanics Symposium, Toronto, Canada, 2009, Abstracts: 151-152. CV- Fei Han 3. Fei Han, Junzhi Cui, Yan Yu, The statistically second-order two-scale method for predicting the mechanical performance of composites with inconsistent random distribution, Microstructure Related Durability of Cementitious Composites, 1st International Conference on Microstructure Related Durability of Cementitious Composites, Nanjing, China, 2008, 1053-1062. 4. Junzhi Cui, Fei Han, Yan Yu, The statistical two-order and two-scale method for structural analysis of composites with non-stationary stochastic distribution, Advances in Heterogeneous Material Mechanics 2008, International Conference on Heterogeneous Material Mechanics (ICHMM), Huangshan, China, 2008, 211-215. 5. Fei Han, Junzhi Cui, Yufeng Nie, The two-order and two-scale method in cylindrical coordinates for mechanical properties of laminated composite cylindrical structure, 8th. World Congress on Computational Mechanics (WCCM8) and 5th. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2008), Venice, Italy, 2008. 6. Fei Han, Junzhi Cui, Yan Yu, Prediction for mechanical properties of core-shell particle-filled polymers via statistical two-scale method, Computational Mechanics, Proceedings of International Symposium on Computational Mechanics, Beijing, China, 2007. 7. Junzhi Cui, Xingang Yu, Fei Han, Yan Yu, Statistical two-scale method for strength prediction of composites with random distribution and its applications, Computational Mechanics, Proceedings of International Symposium on Computational Mechanics, Beijing, China, 2007. 8. Yan Yu, Junzhi Cui, Fei Han, An effective computer generation method for the domain with random distribution of large numbers of heterogeneous grains, Computational Methods in Engineering and Science, Proceeding of Enhancement and Promotion of Computational Methods in Engineering and Science X (EPMESC X), Sanya, China, 2006. Research interests Peridynamic Theory: Numerical implementation and software design on peridynamics; Application of peridynamics for heterogeneous and composite materials. Multi-scale and Coupling Methods: Mathematical multi-scale methods based on asymptotic expansion homogenization theory for periodic, quasi-periodic or random structures; Multi-scale methods coupling of micro-scale, meso-scale and macro-scale models. Mechanics of Heterogeneous Composite Materials: Particles or short fibers reinforced composites, porous materials and 3-D braided composites, nanotube reinforced composites; the effects of microstructures, inclusions and interphase properties on the macromechanical behaviors, including stiffness, strength, damage and fracture. Multi-physical fields Coupling Calculations: Numerical computation of thermal, electrical and mechanical properties, such as heat conduction, thermal expansion, electrical CV- Fei Han conductivity, stiffness, strength, damage and fracture; coupled thermal-mechanical behaviors, piezo-resistive behavior. Numerical Algorithms and Programming: Efficient numerical techniques; high performance parallel computing; programming technique and software design. CV- Fei Han Personal Experience I spend more than ten years in different academic groups on developing algorithm and programs for evaluating thermal and mechanical property of composite/nano-composite materials and for enabling a new paradigm in fracture mechanics, in particular the peridynamics theory. I have a lot of experience about how to establish a property evaluation system and how to develop and employ peridynamic theory for fracture mechanics. I classify them as follows. Experience 1: Geometry Modeling Techniques The geometry modeling is the first step in an evaluation system. This work in my doctoral group was started in 2004 while I was always a major participant. At first we focused on random composite materials. We presented a new computer generation method by which the cube with many inclusions, such as ellipsoids, short fibers and polyhedrons, can be automatically created, as shown in Figure 1. Figure 1. The cube with many inclusions During my research in KAUST, I finished the geometry modeling on the microstructure of nanotube/polymer composites. They include uniformly random distributed nanotubes, aligned nanotubes and nanotubes agglomerations in a cube, as shown in Figure 2. Also, I show here the ability of the proposed algorithm to reproduce transmission electron microscopy (TEM) observed morphology of CNT reinforced polymers in Figure 3. CV- Fei Han Figure 2. The periodic cell with different distributions of nanotubes Figure 3. A comparison of simulation result to experimental observation: (left) a projected image of 3D geometric model; (right) a TEM picture of MWCNTs/epoxy composites Experience 2: 3D Complex Mesh Generation I spent a lot of time developing mesh generation algorithms and programs for random composites. One reason is that the complex meshes generated by the present commerce software usually failed to satisfy needs. So, I had to make own programs and then I undertook this complicated task until it was completed, some figures are shown as follows. CV- Fei Han Figure 4. The meshes of many particles in cubes Similarly, the meshes of 3D braided composites have already been created by ANSYS ICEM CFD meshing software. Some samples are shown in Figure 5. Figure 5. The meshes of 3D braided composites cells Experience 3: Peridynamic theory and its coupling technique A recently developed nonlocal theory of solid mechanics, known as the peridynamics theory, assumes that the equilibrium of a material point is attained by an integral of internal forces exerted by non-adjacent points across a finite distance. This nonlocal model CV- Fei Han can naturally handle discontinuities in the displacement fields, i.e. cracks. These advantages have attached considerable attention on the peridynamics in the recent years. The peridynamics, however, comes with huge computational cost that makes classical engineering problems out of reach. A reasonable strategy is to reserve the peridynamics for parts of the structure where key mechanisms strongly impact the solution, whereas to use the continuum mechanics for the rest of the structure where the conventional continuum model is satisfactory. We proposed a coupling technique named as the morphing method. The morphing method couples both local and nonlocal models at the level of constitutive parameters in terms of the conservation of strain energy. This capability makes it possible to apply the coupled model to complex structures. Some adaptive fracture simulations have been successfully conducted so far (see Figure 6a & 6b). Future work is required to apply the morphing coupling to nonlinear problems, such as damage or plasticity. Figure 6a. The dissipated energy in a deformed body during the crack propagation (Discontinuous Galerkin Finite Element Method (DGFEM), represented by brick elements, is implemented in the nonlocal continuum domain). Figure 6b. The evolution of damage and fracture from (a) to (d) in a notched plate. Discontinuous Galerkin Finite Element Method (represented by quadrilateral grids) is implemented in the nonlocal continuum domain. CV- Fei Han Experience 4: Multiscale Modeling by Homogenization Theory My major is applied mathematics, so I have made great efforts to develop numerical methods, especially mathematical homogenization theory. I am familiar with them and I improved them for my special problem, for example predicting mechanical properties of random composites. You can find a series of papers using these methods which were published. Experience 5: C, C++, FORTRAN and Software Design As you known, I spent a lot of time in programming during my doctoral and post-doctoral study. Actually, I began my programming class about BASIC and PASCAL in 1995 when I was a student in high school. The early training is a good start and I had found that I was interesting in programming. After I went into the university, I learned C, C++ and FORTRAN languages. Now I often use C++ which is an object-oriented programming language. It makes it easier to construct great software projects. My programs are all developed in C++ on Microsoft Visual Studio. A screenshot of my programs is shown as follows. Figure 7. A screenshot of my programs on Microsoft Visual Studio Experience 6: Parallel Programming and High Performance Environment I had made some parallel programs by using MPI or OpenMP programming techniques. These parallel programs can improve the efficiency of multiscale computation. Because of a large amount of calculations and memories, it is also more necessary to use the high performance cluster. Fortunately, I have been using the different high performance clusters since 2005. The following picture in Figure 8 shows the clusters I had used. I knew how to operate Linux system and also how to use some Cluster Job Management Systems, such as PBS and LSF. CV- Fei Han Figure 8. The high performance clusters I had used Experience 7: Mechanics Background I have considered the stiffness and strength properties of composite materials in my publications. I also studied the peridynamic theory in KAUST, which is a new non-local continuum mechanics. Experience 8: Composite Materials Background I have a lot of knowledge about composite materials, especially for carbon fiber or nanotube reinforced polymer composites. Experience 9: Commercial Software Application I have experience in some commercial software, including ANSYS, TECPLOT and MATLAB etc.