ICCM2018, August 6th-10th, Rome, Italy

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Home > ICCM2018, August 6th-10th, Rome, Italy, Completed > The 14th International Conference of Computational Methods (ICCM2023) > Presentations and Authors

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Track: All Tracks Plenary Lecture MS-000 General Papers MS-001 Theory and Formulation for Novel Computational Methods MS-002 Particle Based Methods MS-003 Mechanics of surface/interface and bionics MS-004 Boundary Element Methods and Mesh Reduction Methods MS-005 Reduced order models for structures and fluids MS-006 Crash safety and structural optimization MS-007 Fire Simulation MS-008 Modeling and Simulation of Complex Flow and Transport Phenomena MS-009 Computational Methods in Fluid Engineering MS-010 Data-driven Surrogate Modeling Techniques for Inverse and Other Related Problems MS-011 Damage and Failure Modelling in Composite Materials MS-012 Deformation, Fatigue and Fracture of Advanced Materials MS-013 Large Scale Coupled Problems and Related Topics MS-014 Progresses of Computational Marine Hydrodynamics MS-015 Smoothed Finite Element Methods and Related Techniques MS-016 Computational Mechanics for Composite Plates and Shells MS-017 Computational methods in Hydraulic engineering MS-018 Data, Uncertainty, Machine Learning and Digital Twin MS-019 Methods for Multi-Phase Flows MS-020 Concurrent multiscale modeling from electrons to finite elements MS-021 Multiscale modelling of engineering materials MS-022 Advances in computational methods for large deformation problems in geo-mechanic MS-023 Recent Advances In Meshfree and Particle Methods MS-024 Meshfree and Other Advanced Numerical Methods for Engineering and Applied Mathematical Problems MS-025 Limit state analysis of structures and materials MS-026 Modeling and Simulation for Additive Manufacturing MS-027 Computational Acoustics and Elastodynamics in Materials and Structures MS-028 Kernel and machine learning based solutions of PDEs MS-029 Stochastic BEM in Fracture Mechanics MS-030 Acoustic metamaterials and phononic crystals: from fundamental theory to potential applications MS-031 Design optimization of structures and metamaterials MS-032 Local and nonlocal modeling approaches in dynamics MS-033 Computational Biomechanics MS-034 Recent Advances and Developments for Damage and Failure of Engineering Materials and Structures MS-035 Modelling Heterogeneous Media: Fracture, Localisation and Multiphase Flow MS-036 Mechanics of soft materials MS-037 Computational Biomechanics MS-038 Computational methods for advanced soft matter and soft robotics MS-039 Computational Particle Dynamics MS-040 Energy systems for electric mobility MS-041 Multiscale multiphysical damage and fracture simulation of cementitious composites MS-042 Structural Reliability Analysis and Design Optimization MS-043 Data-driven modeling and design approaches MS-044 Micro-/Nano-mechanics for Novel Materials MS-045 Computational design, optimization and manufacturing advanced materials and structures MS-046 Seismic performance and resilience analysis of underground space and tunnelling MS-047 Computational modeling of geological hazards and related cascading processes Publication at the conference Proceedings

 

MS-000 General Papers

Filtering spurious eigenmodes in electromagnetic cavities discretized by energy-orthogonal finite elements
Francisco Brito

Experimental and numerical studies on Penetrating Granular Packings
Jian Chen, Mika Tei, Ettore Barbieri, Daisuke Nishiura, Mikito Furuichi

MS-024 Meshfree and Other Advanced Numerical Methods for Engineering and Applied Mathematical Problems

A Physics-Informed Neural Network Framework for Computational Structural Dynamics
Shusheng Xiao, Jinshuai Bai, Laith Alzubaidi, Yuantong Gu

MS-027 Computational Acoustics and Elastodynamics in Materials and Structures

Magnetic tunable metamaterials
Liang SI, Ronghao BAO

MS-028 Kernel and machine learning based solutions of PDEs

Physics-informed radial basis network (PIRBN) for solving nonlinear partial differential equations
Jinshuai Bai, Gui-Rong Liu, Laith Alzubaidi, Xi-Qiao Feng, YuanTong Gu

Novel deep learning approaches for learning scientific simulations
Saurabh Deshpande, Raúl Ian Sosa, Stéphane Bordas, Jakub Lengiewicz

Physics informed neural networks for solving boundary integral equations
Elena Atroshchenko, Han Zhang, Cosmin Anitescu, Stephane Bordas, Timon Rabczuk

MS-034 Recent Advances and Developments for Damage and Failure of Engineering Materials and Structures

Contribution to Griffith theory of fracture for predicting fracture toughness
Thuy NGUYEN, Daniel Bonamy

MS-037 Computational Biomechanics

Weight initialization in physics-informed neural networks to enhance consistency of mass-loss predictions for a plant cell during drying
Chanaka Prabuddha Batuwatta Gamage, C.M. Rathnayaka, H.C.P. Karunasena, M.A. Karim, Y.T. Gu

MS-043 Data-driven modeling and design approaches

Machine Learning Based Approaches for Ultimate Compression Capacity Prediction of Concrete Filled Double Skin Steel Tube Columns.
Piyawat Boonlertnirun

Publication at the conference Proceedings

Design and load-bearing capacity analysis of bone-inspired lightweight microstructures
Shuxiang Zhang, Jia Li, Cong Bi, Zehao Wang, Dana Tang, Haibin Tang