Professor Yuntian Feng

Personal Chair

Civil Engineering

+44 (0) 1792 295161

y.feng@swansea.ac.uk

Academic Office - A_132
First Floor
Engineering Central
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0002-6396-8698

About

Research Includes:

Finite/Discrete Element Methods for Discrete/Discontinuous Systems
Fluid-Solid(Particle)-Thermal Interaction
Stochastic Modelling of Engineering Problems
Computational Biomechanics
Large Scale Engineering & Scientific Computations
High Performance Computing for Engineering
Linear & Nonlinear Finite Element Analysis
Structural Dynamics & Seismic Assessment

Areas Of Expertise

Computational Mechanics
Computational Engineering
Computational Structural Dynamics
Discrete Element Modelling
Lattice Boltzmann method
Fluid–solid interaction
High performance computing

Publications

Research Highlights

Feng, Y. & Feng, Y. (2021). An energy-conserving contact theory for discrete element modelling of arbitrarily shaped particles: Basic framework and general contact model. Computer Methods in Applied Mechanics and Engineering, 373, 113454
https://doi.org/10.1016/j.cma.2020.113454, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55242
http://dx.doi.org/10.1016/j.cma.2020.113454
Feng, Y. (2021). An energy-conserving contact theory for discrete element modelling of arbitrarily shaped particles: Contact volume based model and computational issues. Computer Methods in Applied Mechanics and Engineering, 373, 113493
https://doi.org/10.1016/j.cma.2020.113493, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55381
Feng, Y. (2021). An effective energy-conserving contact modelling strategy for spherical harmonic particles represented by surface triangular meshes with automatic simplification. Computer Methods in Applied Mechanics and Engineering, 379, 113750
https://doi.org/10.1016/j.cma.2021.113750, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56403
http://dx.doi.org/10.1016/j.cma.2021.113750
Feng, Y. & Tan, Y. (2021). The Minkowski overlap and the energy‐conserving contact model for discrete element modeling of convex nonspherical particles. International Journal for Numerical Methods in Engineering, 122(22), 6476-6496.
https://doi.org/10.1002/nme.6800, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57480
Feng, Y. (2021). A generic energy‐conserving discrete element modeling strategy for concave particles represented by surface triangular meshes. International Journal for Numerical Methods in Engineering, 122(10), 2581-2597.
https://doi.org/10.1002/nme.6633, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56022
Feng, Y. & Gao, W. (2021). On the strain energy distribution of two elastic solids under smooth contact. Powder Technology, 389, 376-382.
https://doi.org/10.1016/j.powtec.2021.05.037, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56877
Qu, T., Di, S., Feng, Y., Wang, M., Zhao, T., & QU, T. (2021). Towards data-driven constitutive modelling for granular materials via micromechanics-informed deep learning. International Journal of Plasticity, 144, 103046
https://doi.org/10.1016/j.ijplas.2021.103046, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57046
http://dx.doi.org/10.1016/j.ijplas.2021.103046
QU, T., Di, S., Feng, Y., Wang, M., Zhao, T., & Wang, M. (2021). Deep Learning Predicts Stress–Strain Relations of Granular Materials Based on Triaxial Testing Data. Computer Modeling in Engineering & Sciences, 128(1), 129-144.
https://doi.org/10.32604/cmes.2021.016172, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57281
Wang, X., Yin, Z., Xiong, H., Su, D., & Feng, Y. (2021). A spherical-harmonic-based approach to discrete element modeling of 3D irregular particles. International Journal for Numerical Methods in Engineering, 122(20)
https://doi.org/10.1002/nme.6766, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57503
Wang, X., Yin, Z., Su, D., Xiong, H., & Feng, Y. (2021). A novel Arcs-based discrete element modeling of arbitrary convex and concave 2D particles. Computer Methods in Applied Mechanics and Engineering, 386, 114071
https://doi.org/10.1016/j.cma.2021.114071, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57989
Wang, M., Feng, Y., Qu, T., & Zhao, T. (2021). A coupled polygonal DEM-LBM technique based on an immersed boundary method and energy-conserving contact algorithm. Powder Technology, 381, 101-109.
https://doi.org/10.1016/j.powtec.2020.11.081, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55794
Wang, M., Feng, Y., & Qu, T. (2020). On the implicit immersed boundary method in coupled discrete element and lattice Boltzmann method. International Journal for Numerical and Analytical Methods in Geomechanics, 44(4), 516-532.
https://doi.org/10.1002/nag.3035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52912
http://dx.doi.org/10.1002/nag.3035
Wang, M., Gao, K., & Feng, Y. (2021). An improved continuum-based finite–discrete element method with intra-element fracturing algorithm. Computer Methods in Applied Mechanics and Engineering, 384, 113978
https://doi.org/10.1016/j.cma.2021.113978, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57023
http://dx.doi.org/10.1016/j.cma.2021.113978
Zhao, T., Feng, Y., Zhang, J., Wang, Z., & Wang, Z. (2021). Discrete Element Modelling of Dynamic Behaviour of Rockfills for Resisting High Speed Projectile Penetration. Computer Modeling in Engineering & Sciences, 127(2), 721-735.
https://doi.org/10.32604/cmes.2021.015913, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56836
Gao, W., Liu, X., Hu, J., & Feng, Y. (2022). A Novel Bilinear Constitutive Law for Cohesive Elements to Model the Fracture of Pressure-Dependent Rocks. Rock Mechanics and Rock Engineering, 55(2), 521-540.
https://doi.org/10.1007/s00603-021-02671-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58647
Gao, W., Wang, J., He, X., Feng, Y., Chen, S., & Wang, C. (2022). Modeling the mechanical behavior of a helmeted headform impacted with a laminated windshield with consideration of composite failure. Composite Structures, 279, 114787
https://doi.org/10.1016/j.compstruct.2021.114787, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58369
Qu, T., Feng, Y., & Wang, M. (2021). An adaptive granular representative volume element model with an evolutionary periodic boundary for hierarchical multiscale analysis. International Journal for Numerical Methods in Engineering, 122(9), 2239-2253.
https://doi.org/10.1002/nme.6620, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55963
http://dx.doi.org/10.1002/nme.6620
Wang, Q., Zhou, W., & Feng, Y. (2020). The phase-field model with an auto-calibrated degradation function based on general softening laws for cohesive fracture. Applied Mathematical Modelling, 86, 185-206.
https://doi.org/10.1016/j.apm.2020.05.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54212
http://dx.doi.org/10.1016/j.apm.2020.05.005
Wang, Q., Feng, Y., Zhou, W., Cheng, Y., & Ma, G. (2020). A phase-field model for mixed-mode fracture based on a unified tensile fracture criterion. Computer Methods in Applied Mechanics and Engineering, 370, 113270
https://doi.org/10.1016/j.cma.2020.113270, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54613
Wang, R., Wang, C., Feng, Y., & Tang, C. (2021). Mechanistic pathway of water adsorption to impact on the nonlinear elasticity of single-crystalline ZnO NWs. Computational Materials Science, 188, 110155
https://doi.org/10.1016/j.commatsci.2020.110155, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55846

All Research

Journal Articles

Xia, M., Fu, J., Feng, Y., Gong, F., & Yu, J. (2024). A particle-resolved heat-particle-fluid coupling model by DEM-IMB-LBM. Journal of Rock Mechanics and Geotechnical Engineering, 16(6), 2267-2281.
https://doi.org/10.1016/j.jrmge.2023.02.030, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62683
Gao, W., Feng, Y., & Wang, C. (2023). A coupled isogeometric/multi-sphere discrete element approach for the contact interaction between irregular particles and structures. Powder Technology, 430, 118971
https://doi.org/10.1016/j.powtec.2023.118971, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64584
Qu, T., Zhao, J., Guan, S., & Feng, Y. (2023). Data-driven multiscale modelling of granular materials via knowledge transfer and sharing. International Journal of Plasticity, 171, 103786
https://doi.org/10.1016/j.ijplas.2023.103786, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64899
Xia, M., Xu, X., Gong, F., Wang, M., & Feng, Y. (2023). A Minkowski difference‐based advancing front packing technique for generating convex noncircular particles in complex domains. International Journal for Numerical Methods in Engineering, 124(20), 4520-4546.
https://doi.org/10.1002/nme.7318, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63698
Cai, W., Gao, K., Ai, S., Wang, M., & Feng, Y. (2023). Implementation of extrinsic cohesive zone model (ECZM) in 2D finite-discrete element method (FDEM) using node binding scheme. Computers and Geotechnics, 159, 105470
https://doi.org/10.1016/j.compgeo.2023.105470, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63290
http://dx.doi.org/10.1016/j.compgeo.2023.105470
Wang, Q., Yue, Q., Zhou, W., Feng, Y., & Chang, X. (2023). Modeling of both tensional-shear and compressive-shear fractures by a unified phase-field model. Applied Mathematical Modelling, 117, 162-196.
https://doi.org/10.1016/j.apm.2022.12.006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62173
QU, T., Guan, S., Feng, Y., Ma, G., Zhou, W., & Zhao, J. (2023). Deep active learning for constitutive modelling of granular materials: From representative volume elements to implicit finite element modelling. International Journal of Plasticity, 164, 103576
https://doi.org/10.1016/j.ijplas.2023.103576, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62759
http://dx.doi.org/10.1016/j.ijplas.2023.103576
Guan, S., QU, T., Feng, Y., Ma, G., & Zhou, W. (2023). A machine learning-based multi-scale computational framework for granular materials. Acta Geotechnica, 18(4), 1699-1720.
https://doi.org/10.1007/s11440-022-01709-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60725
http://dx.doi.org/10.1007/s11440-022-01709-z
Xia, M., Gong, F., Feng, S., Yu, J., Feng, Y., & Wang, M. (2023). A coupled DEM-IMB-LBM model for simulating methane hydrate exploitation involving particle dissolution. International Journal for Numerical Methods in Engineering, 124(8), 1701-1720.
https://doi.org/10.1002/nme.7181, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62246
http://dx.doi.org/10.1002/nme.7181
Zeng, Z., Fu, P., Feng, Y., & Wang, M. (2023). Revisiting the empirical particle‐fluid coupling model used in DEM‐CFD by high‐resolution DEM‐LBM‐IMB simulations: A 2D perspective. International Journal for Numerical and Analytical Methods in Geomechanics, 47(5), 862-879.
https://doi.org/10.1002/nag.3496, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62446
http://dx.doi.org/10.1002/nag.3496
Liang, S., Feng, Y., Zhao, T., & Wang, Z. (2023). On energy transfer and dissipation of intruder impacting granular materials based on discrete element simulations. Powder Technology, 419, 118347
https://doi.org/10.1016/j.powtec.2023.118347, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62678
Feng, Y. (2023). Thirty years of developments in contact modelling of non-spherical particles in DEM: a selective review. Acta Mechanica Sinica, 39(1)
https://doi.org/10.1007/s10409-022-22343-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62672
Wang, M., QU, T., Guan, S., Zhao, T., Liu, B., & Feng, Y. (2022). Data-driven strain–stress modelling of granular materials via temporal convolution neural network. Computers and Geotechnics, 152, 105049
https://doi.org/10.1016/j.compgeo.2022.105049, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61307
Qu, T., Feng, Y., & Zhao, J. (2022). A strain energy-based elastic parameter calibration method for lattice/bonded particle modelling of solid materials. Powder Technology, 410, 117860
https://doi.org/10.1016/j.powtec.2022.117860, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60858
Ma, G., Guan, S., Wang, Q., Feng, Y., Zhou, W., Feng, Y., & Guan, S. (2022). A predictive deep learning framework for path-dependent mechanical behavior of granular materials. Acta Geotechnica, 17(8), 3463-3478.
https://doi.org/10.1007/s11440-021-01419-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59484
http://dx.doi.org/10.1007/s11440-021-01419-y
Gao, W., Liu, X., Hu, J., & Feng, Y. (2022). A Novel Bilinear Constitutive Law for Cohesive Elements to Model the Fracture of Pressure-Dependent Rocks. Rock Mechanics and Rock Engineering, 55(2), 521-540.
https://doi.org/10.1007/s00603-021-02671-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58647
Gao, W., Wang, J., He, X., Feng, Y., Chen, S., & Wang, C. (2022). Modeling the mechanical behavior of a helmeted headform impacted with a laminated windshield with consideration of composite failure. Composite Structures, 279, 114787
https://doi.org/10.1016/j.compstruct.2021.114787, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58369
Wang, X., Yin, Z., Su, D., Xiong, H., & Feng, Y. (2021). A novel Arcs-based discrete element modeling of arbitrary convex and concave 2D particles. Computer Methods in Applied Mechanics and Engineering, 386, 114071
https://doi.org/10.1016/j.cma.2021.114071, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57989
Feng, Y. & Tan, Y. (2021). The Minkowski overlap and the energy‐conserving contact model for discrete element modeling of convex nonspherical particles. International Journal for Numerical Methods in Engineering, 122(22), 6476-6496.
https://doi.org/10.1002/nme.6800, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57480
Wang, M., Gao, K., & Feng, Y. (2021). An improved continuum-based finite–discrete element method with intra-element fracturing algorithm. Computer Methods in Applied Mechanics and Engineering, 384, 113978
https://doi.org/10.1016/j.cma.2021.113978, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57023
http://dx.doi.org/10.1016/j.cma.2021.113978
Feng, Y. & Gao, W. (2021). On the strain energy distribution of two elastic solids under smooth contact. Powder Technology, 389, 376-382.
https://doi.org/10.1016/j.powtec.2021.05.037, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56877
Qu, T., Di, S., Feng, Y., Wang, M., Zhao, T., & QU, T. (2021). Towards data-driven constitutive modelling for granular materials via micromechanics-informed deep learning. International Journal of Plasticity, 144, 103046
https://doi.org/10.1016/j.ijplas.2021.103046, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57046
http://dx.doi.org/10.1016/j.ijplas.2021.103046
Wang, X., Yin, Z., Xiong, H., Su, D., & Feng, Y. (2021). A spherical-harmonic-based approach to discrete element modeling of 3D irregular particles. International Journal for Numerical Methods in Engineering, 122(20)
https://doi.org/10.1002/nme.6766, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57503
QU, T., Di, S., Feng, Y., Wang, M., Zhao, T., & Wang, M. (2021). Deep Learning Predicts Stress–Strain Relations of Granular Materials Based on Triaxial Testing Data. Computer Modeling in Engineering & Sciences, 128(1), 129-144.
https://doi.org/10.32604/cmes.2021.016172, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57281
Feng, Y. (2021). An effective energy-conserving contact modelling strategy for spherical harmonic particles represented by surface triangular meshes with automatic simplification. Computer Methods in Applied Mechanics and Engineering, 379, 113750
https://doi.org/10.1016/j.cma.2021.113750, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56403
http://dx.doi.org/10.1016/j.cma.2021.113750
Feng, Y. (2021). A generic energy‐conserving discrete element modeling strategy for concave particles represented by surface triangular meshes. International Journal for Numerical Methods in Engineering, 122(10), 2581-2597.
https://doi.org/10.1002/nme.6633, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56022
Qu, T., Feng, Y., & Wang, M. (2021). An adaptive granular representative volume element model with an evolutionary periodic boundary for hierarchical multiscale analysis. International Journal for Numerical Methods in Engineering, 122(9), 2239-2253.
https://doi.org/10.1002/nme.6620, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55963
http://dx.doi.org/10.1002/nme.6620
Zhao, T., Feng, Y., Zhang, J., Wang, Z., & Wang, Z. (2021). Discrete Element Modelling of Dynamic Behaviour of Rockfills for Resisting High Speed Projectile Penetration. Computer Modeling in Engineering & Sciences, 127(2), 721-735.
https://doi.org/10.32604/cmes.2021.015913, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56836
Wang, M., Feng, Y., Qu, T., & Zhao, T. (2021). A coupled polygonal DEM-LBM technique based on an immersed boundary method and energy-conserving contact algorithm. Powder Technology, 381, 101-109.
https://doi.org/10.1016/j.powtec.2020.11.081, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55794
Wang, R., Wang, C., Feng, Y., & Tang, C. (2021). Mechanistic pathway of water adsorption to impact on the nonlinear elasticity of single-crystalline ZnO NWs. Computational Materials Science, 188, 110155
https://doi.org/10.1016/j.commatsci.2020.110155, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55846
Feng, Y. & Feng, Y. (2021). An energy-conserving contact theory for discrete element modelling of arbitrarily shaped particles: Basic framework and general contact model. Computer Methods in Applied Mechanics and Engineering, 373, 113454
https://doi.org/10.1016/j.cma.2020.113454, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55242
http://dx.doi.org/10.1016/j.cma.2020.113454
Feng, Y. (2021). An energy-conserving contact theory for discrete element modelling of arbitrarily shaped particles: Contact volume based model and computational issues. Computer Methods in Applied Mechanics and Engineering, 373, 113493
https://doi.org/10.1016/j.cma.2020.113493, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55381
Wang, Q., Zhou, W., & Feng, Y. (2020). The phase-field model with an auto-calibrated degradation function based on general softening laws for cohesive fracture. Applied Mathematical Modelling, 86, 185-206.
https://doi.org/10.1016/j.apm.2020.05.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54212
http://dx.doi.org/10.1016/j.apm.2020.05.005
Wang, Q., Feng, Y., Zhou, W., Cheng, Y., & Ma, G. (2020). A phase-field model for mixed-mode fracture based on a unified tensile fracture criterion. Computer Methods in Applied Mechanics and Engineering, 370, 113270
https://doi.org/10.1016/j.cma.2020.113270, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54613
Wang, M., Feng, Y., Qu, T., Tao, S., & Zhao, T. (2020). Instability and treatments of the coupled discrete element and lattice Boltzmann method by the immersed moving boundary scheme. International Journal for Numerical Methods in Engineering, 121(21)
https://doi.org/10.1002/nme.6499, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54581
Qu, T., Feng, Y., Zhao, T., Wang, M., QU, T., & Zhao, T. (2020). A hybrid calibration approach to Hertz‐type contact parameters for discrete element models. International Journal for Numerical and Analytical Methods in Geomechanics, 44(9), 1281-1300.
https://doi.org/10.1002/nag.3061, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53487
http://dx.doi.org/10.1002/nag.3061
Wang, M., Feng, Y., Wang, Y., Qu, T., & He, W. (2020). A hybrid discrete bubble-lattice Boltzmann–discrete element model for gas-charged sediments. Computational Particle Mechanics, 7(3), 509-522.
https://doi.org/10.1007/s40571-019-00276-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51394
http://dx.doi.org/10.1007/s40571-019-00276-7
Jaini, Z., Kit, S., & Feng, Y. (2020). Numerical Assessment on Fatigue Failure of Castellated Steel Beams under Sinusoidal Vibration. International Journal of Sustainable Construction Engineering and Technology, 11(1), 273-283.
https://doi.org/10.30880/ijscet.2020.11.01.026, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55256
QU, T., Feng, Y., Wang, M., & Jiang, S. (2020). Calibration of parallel bond parameters in bonded particle models via physics-informed adaptive moment optimisation. Powder Technology, 366, 527-536.
https://doi.org/10.1016/j.powtec.2020.02.077, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53715
Wang, M., Feng, Y., & Qu, T. (2020). On the implicit immersed boundary method in coupled discrete element and lattice Boltzmann method. International Journal for Numerical and Analytical Methods in Geomechanics, 44(4), 516-532.
https://doi.org/10.1002/nag.3035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52912
http://dx.doi.org/10.1002/nag.3035
Feng, Y., Tan, Y., & Feng, Y. (2019). On Minkowski difference-based contact detection in discrete/discontinuous modelling of convex polygons/polyhedra. Engineering Computations, ahead-of-print(ahead-of-print)
https://doi.org/10.1108/EC-03-2019-0124, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50478
Qu, T., Feng, Y., Zhao, T., Wang, M., & Feng, Y. (2019). Calibration of linear contact stiffnesses in discrete element models using a hybrid analytical-computational framework. Powder Technology
https://doi.org/10.1016/j.powtec.2019.09.016, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51730
Gao, W., Feng, Y., & Feng, Y. (2019). A coupled 3D discrete elements/isogeometric method for particle/structure interaction problems. Computational Particle Mechanics
https://doi.org/10.1007/s40571-019-00267-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51018
Zhao, T., Feng, Y., & Feng, Y. (2019). An enthalpy based discrete thermal modelling framework for particulate systems with phase change materials. Powder Technology
https://doi.org/10.1016/j.powtec.2019.06.028, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50889
Gao, W., Wang, J., Yin, S., Feng, Y., & Feng, Y. (2019). A coupled 3D isogeometric and discrete element approach for modelling interactions between structures and granular matters. Computer Methods in Applied Mechanics and Engineering
https://doi.org/10.1016/j.cma.2019.05.043, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50539
Wang, Q., Zhou, W., Feng, Y., Ma, G., Cheng, Y., Chang, X., & Feng, Y. (2019). An adaptive orthogonal improved interpolating moving least-square method and a new boundary element-free method. Applied Mathematics and Computation, 353, 347-370.
https://doi.org/10.1016/j.amc.2019.02.013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49013
Wang, M., Feng, Y., Zhao, T., Wang, Y., & Feng, Y. (2019). Modelling of sand production using a mesoscopic bonded particle lattice Boltzmann method. Engineering Computations
https://doi.org/10.1108/EC-02-2018-0093, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47970
Wang, M., Feng, Y., Owen, D., Qu, T., Feng, Y., & Owen, R. (2019). A novel algorithm of immersed moving boundary scheme for fluid–particle interactions in DEM–LBM. Computer Methods in Applied Mechanics and Engineering, 346, 109-125.
https://doi.org/10.1016/j.cma.2018.12.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa46181
Qu, T., Feng, Y., Wang, Y., Wang, M., & Feng, Y. (2019). Discrete element modelling of flexible membrane boundaries for triaxial tests. Computers and Geotechnics, 115, 103154
https://doi.org/10.1016/j.compgeo.2019.103154, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50971
Zhao, T., Feng, Y., & Tan, Y. (2019). Characterising 3D spherical packings by principal component analysis. Engineering Computations, ahead-of-print(ahead-of-print)
https://doi.org/10.1108/ec-05-2019-0225, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51481
http://dx.doi.org/10.1108/ec-05-2019-0225
Zhou, W., Yue, Q., Wang, Q., Feng, Y., Chang, X., & Feng, Y. (2019). The boundary element method for elasticity problems with concentrated loads based on displacement singular elements. Engineering Analysis with Boundary Elements, 99, 195-205.
https://doi.org/10.1016/j.enganabound.2018.11.016, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47950
Li, T., Wu, A., Feng, Y., Wang, H., Wang, L., Chen, X., & Yin, S. (2018). Coupled DEM-LBM simulation of saturated flow velocity characteristics in column leaching. Minerals Engineering, 128, 36-44.
https://doi.org/10.1016/j.mineng.2018.08.027, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43783
Zhao, T., Feng, Y., & Feng, Y. (2018). Extended Greenwood–Williamson Models for Rough Spheres. Journal of Applied Mechanics, 85(10), 101007
https://doi.org/10.1115/1.4040537, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40677
Feng, Y., Zhao, T., Wang, M., Owen, D., Feng, Y., & Owen, R. (2018). Characterising particle packings by principal component analysis. Computer Methods in Applied Mechanics and Engineering, 340, 70-89.
https://doi.org/10.1016/j.cma.2018.05.018, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40287
Zhao, T., Feng, Y., Wang, M., & Feng, Y. (2018). An extended Greenwood-Williamson modelbased normal interaction law for discrete element modelling of spherical particles with surface roughness. International Journal for Numerical and Analytical Methods in Geomechanics
https://doi.org/10.1002/nag.2805, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40270
Wang, M., Feng, Y., Pande, G., Zhao, T., & Feng, Y. (2018). A coupled 3-dimensional bonded discrete element and lattice Boltzmann method for fluid-solid coupling in cohesive geomaterials. International Journal for Numerical and Analytical Methods in Geomechanics, 42(12), 1405-1424.
https://doi.org/10.1002/nag.2799, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39984
Wang, R., Wang, C., Feng, Y., Tang, C., Feng, Y., & Wang, C. (2018). Mechanisms underlying the shape effect on nano-piezoelectricity. Nano Energy, 53, 906-915.
https://doi.org/10.1016/j.nanoen.2018.09.031, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44424
Wang, R., Wang, C., Feng, Y., Tang, C., Feng, Y., & Wang, C. (2018). Mechanical responses of a-axis GaN nanowires under axial loads. Nanotechnology, 29(9), 095707
https://doi.org/10.1088/1361-6528/aaa64d, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38763
Tan, Y., Zhang, C., Jiang, S., Feng, Y., & Feng, Y. (2018). Simulation of Ceramic Grinding Mechanism Based on Discrete Element Method. International Journal of Computational Methods, 1843008
https://doi.org/10.1142/S0219876218430089, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40081
Wang, M., Feng, Y., Wang, C., Feng, Y., & Wang, C. (2017). Numerical investigation of initiation and propagation of hydraulic fracture using the coupled Bonded Particle–Lattice Boltzmann Method. Computers & Structures, 181, 32-40.
https://doi.org/10.1016/j.compstruc.2016.02.014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32504
Sun, X., Dong, Y., Hao, P., Shi, L., Li, F., Feng, Y., & Feng, Y. (2017). Three-dimensional numerical simulation of quasi-static pebble flow. Advanced Powder Technology, 28(2), 499-505.
https://doi.org/10.1016/j.apt.2016.11.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31108
Xiao, Y., Wang, C., Feng, Y., Feng, Y., & Wang, C. (2017). Effect of CNTs and Interfacial Defects on the Vibration of CNT-Based Hybrid Nanotubes. International Journal of Applied Mechanics, 09(03), 1750032
https://doi.org/10.1142/S1758825117500326, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34342
Wang, R., Wang, C., Feng, Y., Feng, Y., & Wang, C. (2017). Effective geometric size and bond-loss effect in nanoelasticity of GaN nanowires. International Journal of Mechanical Sciences, 130, 267-273.
https://doi.org/10.1016/j.ijmecsci.2017.06.026, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34386
Wang, M., Feng, Y., Wang, Y., Zhao, T., & Feng, Y. (2017). Periodic boundary conditions of discrete element method-lattice Boltzmann method for fluid-particle coupling. Granular Matter, 19(3)
https://doi.org/10.1007/s10035-017-0733-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33143
Feng, Y., Zhao, T., Kato, J., & Zhou, W. (2017). Towards stochastic discrete element modelling of spherical particles with surface roughness: A normal interaction law. Computer Methods in Applied Mechanics and Engineering, 315, 247-272.
https://doi.org/10.1016/j.cma.2016.10.031, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30816
Feng, Y., Han, K., & Owen, R. (2017). A generic contact detection framework for cylindrical particles in discrete element modelling. Computer Methods in Applied Mechanics and Engineering, 315, 632-651.
https://doi.org/10.1016/j.cma.2016.11.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30913
Wang, M., Feng, Y., Pande, G., Chan, A., Zuo, W., Pande, G., & Feng, Y. (2017). Numerical modelling of fluid-induced soil erosion in granular filters using a coupled bonded particle lattice Boltzmann method. Computers and Geotechnics, 82, 134-143.
https://doi.org/10.1016/j.compgeo.2016.10.006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30607
Wang, M., Pande, G., Kong, L., Feng, Y., Pande, G., & Feng, Y. (2016). Comparison of Pore-Size Distribution of Soils Obtained by Different Methods. International Journal of Geomechanics, 06016012
https://doi.org/10.1061/(ASCE)GM.1943-5622.0000696, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30606
Xiao, Y., Wang, C., Feng, Y., & Feng, Y. (2016). Vibration of Piezoelectric ZnO-SWCNT Nanowires. Nanomaterials, 6(12), 242
https://doi.org/10.3390/nano6120242, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31382
Li, T., Wu, A., Han, B., Feng, Y., & Sun, W. (2016). Discrete element method study on the percolation process of fine particles in ore drawing by the block caving method. Chinese Journal of Engineering, 38(11)
https://doi.org/10.13374/j.issn2095-9389.2016.11.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa35943
Feng, Y., Zhao, T., Katao, C., & Zhou, W. (2016). Stochastic discrete element modelling of rough particles-a random normal interaction law. Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics, 33(4), 629-636.
https://doi.org/10.7511/jslx201604032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30128
Wang, M., Wang, C., & Feng, Y. (2016). Coupled bonded particle and lattice Boltzmann method for modelling fluid–solid interaction. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 40(10), 1383-1401.
https://doi.org/10.1002/nag.2481, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25683
Jones, B., Feng, Y., & Feng, Y. (2016). Effect of image scaling and segmentation in digital rock characterisation. Computational Particle Mechanics, 3(2), 201-213.
https://doi.org/10.1007/s40571-015-0077-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25671
Chen, S., Zhang, C., Feng, Y., Sun, Q., Jin, F., & Feng, Y. (2016). Three-dimensional simulations of Bingham plastic flows with the multiple-relaxation-time lattice Boltzmann model. Engineering Applications of Computational Fluid Mechanics, 10(1), 347-360.
https://doi.org/10.1080/19942060.2016.1169946, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28924
Y.T. Feng, Professor Xikui Li, Prof, P., Tan, Y., Deng, R., Feng, Y., Zhang, H., Jiang, S., & Feng, Y. (2015). Numerical study of concrete mixing transport process and mixing mechanism of truck mixer. Engineering Computations, 32(4), 1041-1065.
https://doi.org/10.1108/EC-04-2014-0097, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25672
Feng, Y., Owen, D., & Feng, Y. (2014). Discrete element modelling of large scale particle systems—I: exact scaling laws. Computational Particle Mechanics, 1(2), 159-168.
https://doi.org/10.1007/s40571-014-0010-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25673
Pan, J., Feng, Y., Jin, F., Zhang, C., & Roger Jones Owen, D. (2014). Comparison of different fracture modelling approaches to gravity dam failure. Engineering Computations, 31(1), 18-32.
https://doi.org/10.1108/EC-04-2012-0091, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25674
Pan, J., Feng, Y., Jin, F., Zhang, C., & Feng, Y. (2013). Numerical prediction of swelling in concrete arch dams affected by alkali-aggregate reaction. European Journal of Environmental and Civil Engineering, 17(4), 231-247.
https://doi.org/10.1080/19648189.2013.771112, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25677
Pan, J., Feng, Y., Xu, Y., Jin, F., Zhang, C., & Zhang, B. (2013). Chemo-damage modeling and cracking analysis of AAR-affected concrete dams. Science China Technological Sciences, 56(6), 1449-1457.
https://doi.org/10.1007/s11431-013-5187-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25676
Wu, J., Feng, Y., & Feng, Y. (2013). Finite element simulation of new RHS column-to-I beam connections for avoiding tensile fracture. Journal of Constructional Steel Research, 86, 42-53.
https://doi.org/10.1016/j.jcsr.2013.03.012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25675
Pan, J., Feng, Y., Jin, F., Xu, Y., Sun, Q., Zhang, C., Owen, D., & Feng, Y. (2013). Meso-scale particle modeling of concrete deterioration caused by alkali-aggregate reaction. International Journal for Numerical and Analytical Methods in Geomechanics, 37(16), 2690-2705.
https://doi.org/10.1002/nag.2157, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25678
Noor, S., Pridham, C., Fawcett, T., Barclay, M., Feng, Y., Hassan, O., Pallister, I., & Feng, Y. (2013). Finite element analysis modelling of proximal femoral fractures, including post-fixation periprosthetic fractures. Injury, 44(6), 791-795.
https://doi.org/10.1016/j.injury.2012.10.023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21121
Leonardi, C., Owen, D., Feng, Y., & Feng, Y. (2012). Simulation of fines migration using a non‐Newtonian lattice Boltzmann‐discrete element model. Engineering Computations, 29(4), 366-391.
https://doi.org/10.1108/02644401211227617, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25682
Owen, D., Feng, Y., & Feng, Y. (2012). Fifty years of finite elements — a solid mechanics perspective. Theoretical and Applied Mechanics Letters, 2(5), 051001
https://doi.org/10.1063/2.1205101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25681
Feng, Y., Han, K., & Feng, Y. (2012). An accurate evaluation of geometric view factors for modelling radiative heat transfer in randomly packed beds of equally sized spheres. International Journal of Heat and Mass Transfer, 55(23-24), 6374-6383.
https://doi.org/10.1016/j.ijheatmasstransfer.2012.06.025, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25680
Feng, Y., Han, K., Owen, D., Feng, Y., & Owen, R. (2012). Energy-conserving contact interaction models for arbitrarily shaped discrete elements. Computer Methods in Applied Mechanics and Engineering, 205-208, 169-177.
https://doi.org/10.1016/j.cma.2011.02.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15629
Feng, Y. & Owen, R. (2011). An efficient framework for fluid-structure interaction using the lattice Boltzmann method and immersed moving boundaries. International Journal for Numerical Methods in Engineering
https://doi.org/10.1002/nme.2985, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5536
Feng, Y. & Li, C. (2010). A directed Monte Carlo solution of linear stochastic algebraic system of equations. Finite Elements in Analysis and Design
https://doi.org/10.1016/j.finel.2010.01.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5537
Feng, Y., Adhikari, S., & Wang, C. (2010). Vibration of Axially Strained Triple-Wall Carbon Nanotubes. Journal of Computational and Theoretical Nanoscience
https://doi.org/10.1166/jctn.2010.1601, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5540
Feng, Y. (2010). Modelling of Magnetorheological Fluids with Combined Lattice Boltzmann and Discrete Element Approach. Communications in Computational Physics
https://doi.org/10.4208/cicp.2009.09.130, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5541
Han, K., Feng, Y., Owen, D., Feng, Y., & Owen, R. (2010). Three-dimensional modelling and simulation of magnetorheological fluids. International Journal for Numerical Methods in Engineering, 84(11), 1273-1302.
https://doi.org/10.1002/nme.2940, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15630
Feng, Y. (2009). On upscaling of discrete element models: similarity principles. Engineering Computations
https://doi.org/10.1108/02644400910975405, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5539
Feng, Y., Han, K., Owen, D., & Feng, Y. (2009). Combined three-dimensional lattice Boltzmann method and discrete element method for modelling fluid-particle interactions with experimental assessment. International Journal for Numerical Methods in Engineering, 81(2), 229-245.
https://doi.org/10.1002/nme.2689, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5543
Feng, Y., Han, K., Owen, D., & Feng, Y. (2009). Discrete thermal element modelling of heat conduction in particle systems: Pipe-network model and transient analysis. Powder Technology, 193(3), 248-256.
https://doi.org/10.1016/j.powtec.2009.03.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5544
Feng, Y. (2008). Modelling of thermal contact resistance within the framework of the thermal lattice Boltzmann method. International Journal of Thermal Sciences
https://doi.org/10.1016/j.ijthermalsci.2007.11.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5538
Feng, Y., Han, K., C.F, L., Owen, D., Feng, Y., & Li, C. (2008). Discrete thermal element modelling of heat conduction in particle systems: Basic formulations. Journal of Computational Physics, 227(10), 5072-5089.
https://doi.org/10.1016/j.jcp.2008.01.031, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5542
Li, C., Feng, Y., Owen, R., Li, D., & Davies, I. (2008). A Fourier-Karhunen-Loève discretization scheme for stationary random material properties in SFEM. International Journal for Numerical Methods in Engineering, 73(13), 1942-1965.
https://doi.org/10.1002/nme.2160, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12322
Feng, Y., Han, K., Owen, D., & Feng, Y. (2007). Coupled lattice Boltzmann method and discrete element modelling of particle transport in turbulent fluid flows: Computational issues. , 1111-1134.
https://doi.org/10.1002/nme.2114, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1890
Feng, Y. & Feng, Y. (2006). On the Discrete Dynamic Nature of the Conjugate Gradient Method. , 91-98.
https://doi.org/10.1016/j.jcp.2005.05.006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1889
Li, C., Feng, Y., Owen, R., & Davies, I. (2006). Fourier representation of random media fields in stochastic finite element modelling. Engineering Computations, 23(7), 794-817.
https://doi.org/10.1108/02644400610689901, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1606
Feng, Y., Han, K., Owen, D., & Feng, Y. (2003). Filling Domains with Disks: An Advancing Front Approach.. , 699-713.
https://doi.org/10.1002/nme.583, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1891
Feng, Y., Owen, D., & Feng, Y. (2002). An augmented spatial digital tree algorithm for contact detection in computational mechanics. , 159-176.
https://doi.org/10.1002/nme.502, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1892
WANG, M., Feng, Y., Kumar, K., Qu, T., & Wang, M. (n.d.) Machine Learning Aided Modeling of Granular Materials: A Review. Archives of Computational Methods in Engineering
https://doi.org/10.1007/s11831-024-10199-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa68074

Supervision

High performance boundary element method and its application in engineering (awarded 2023)

PhD

Other supervisor: Prof Eduardo De Souza Neto
Machine learning-based constitutive modelling for granular materials (awarded 2024)

PhD

Other supervisor: Dr Chengyuan Wang
The data-driven-based constitutive model and its application in machine learning-aided multiscale modelling for granular materials (current)

PhD

Other supervisor: Prof Eduardo De Souza Neto
Data-driven reduced order modelling based on deep learning (awarded 2024)

PhD

Other supervisor: Prof Wulf Dettmer
Force Teleoperation Of Nanomaterials: Preliminary Study And Proof-Of-Concept Prototyping (awarded 2024)

MSc

Other supervisor: Dr Chengyuan Wang

Taught Modules

EG-320 Structural Mechanics III

This module aims to provide a fundamental understanding of the principles of structural instability and the principles of limit state analysis and elasto-plastic bending. Study of structural instability will include the potential energy approach and stability analysis of beam/columns, rigid bar/spring systems. Statical and kinematic solution approaches to plastic collapse problems wlll be analysed and applied in the solution of the plastic collapse of beams/frameworks.
EG-D04 MSc Dissertation - Civil and Computational Engineering

The module aims to develop fundamental research skills. It comprises the development of supervised research work leading to a dissertation in the field of the Master's degree programme. The specific research topic will be chosen by the student following consultation with academic staff.
EG-D12 MSc Dissertation. Structural Engineering

The module aims to develop fundamental research skills. It comprises the development of supervised research work leading to a dissertation in the field of the Master's degree programme. The specific research topic will be chosen by the student following consultation with academic staff, within the wide scope of structural engineering.
EG-M344 Structural Mechanics III

This module aims to provide a fundamental understanding of the principles of structural instability and the principles of limit state analysis and elasto-plastic bending. Study of structural instability will include the potential energy approach and stability analysis of beam/columns, rigid bar/spring systems. Statical and kinematic solution approaches to plastic collapse problems wlll be analysed and applied in the solution of the plastic collapse of beams/frameworks.
EGIM07 Dynamics and Earthquake Analysis of Structures

This module aims to develop the understanding and skills necessary to analyse linear structures under general dynamic, including earthquake loading, and to understand the use of time stepping schemes for linear dynamic and transient problems.

Affiliated Positions

Joint Director, Discontinuum Mechanics for Engineering Disasters (DMED)

2008 - Present
Co-Editor, Discrete Element Methods & Numerical Modelling Discontinuum Mech

2008 - Present
Guest Editor, Engineering Computations

2008 - Present

Fellowships

2009: Plumer visiting fellowship, St. Anne College, Oxford University
2007-2009: Leverhulme research fellowship, Leverhulme Trust Foundation, UK
2003: Sandia National Laboratories, USA

Professor Yuntian Feng

Telephone number

Email address

Research Links

About

Areas Of Expertise

Publications

Research Highlights

All Research

Journal Articles

Supervision

High performance boundary element method and its application in engineering (awarded 2023)

Machine learning-based constitutive modelling for granular materials (awarded 2024)

The data-driven-based constitutive model and its application in machine learning-aided multiscale modelling for granular materials (current)

Data-driven reduced order modelling based on deep learning (awarded 2024)

Force Teleoperation Of Nanomaterials: Preliminary Study And Proof-Of-Concept Prototyping (awarded 2024)

Taught Modules

EG-320 Structural Mechanics III

EG-D04 MSc Dissertation - Civil and Computational Engineering

EG-D12 MSc Dissertation. Structural Engineering

EG-M344 Structural Mechanics III

EGIM07 Dynamics and Earthquake Analysis of Structures

Affiliated Positions

Joint Director, Discontinuum Mechanics for Engineering Disasters (DMED)

Co-Editor, Discrete Element Methods & Numerical Modelling Discontinuum Mech

Guest Editor, Engineering Computations

Fellowships