复杂流的格子玻尔兹曼建模的工程应用

流体力学是无数科学和技术应用的基础，从最小的物理尺度（纳米流体、细菌运动和多孔介质中的扩散流动）到优选的尺度（从发电厂的能源生产到海洋学和气象学），为了人类的进步、可持续和更有效的未来，必须加深对跨尺度的流体行为的研究。本书共分七章，主要介绍了玻尔兹曼方法应用于科学和技术中复杂流动现象的近期新进展，适合高等院校本科、研究生师生以及相关专业的研究者参考阅读。

Preface
Acknowledgments
Author biographies
1 Introduction
2 The lattice Boltzmann equation for complex flows
2.1 Kinetic and lattice kinetic theory:a brief overview
2.2 The lattice Boltzmann equation
References
3 Lattice schemes for multiphase and multicomponent flows:theory and applications
3.1 The pseudopotential approach for multiphase flows
3.2 Discretisation of the non-ideal forcing term on higher-order lattices
3.2.1 Applications to internal combustion engines:simulating a cavitating injector
3.3 Entropic lattice pseudo-potentials for multiphase flow simulations
3.3.1 The benefits of the entropic formulation
3.4 Applications and results
References
4 Lattice Boltzmann models for fluid-structure interaction problems
4.1 Fluid-structure interaction-rigid cantilevers
4.1.1 Governing equations
4.1.2 Lattice Boltzann implementation
4.1.3 Force evaluation
4.1.4 Representative flow fields
4.1.5 Extraction of the hydrodynamic function
4.2 Fluid-structure interaction-wedge-shaped bodies
4.2.1 The structure:finite element analysis
4.2.2 Fluid-structure interaction:time discontinuous Galerkin method and coupling algorithm
4.2.3 Numerical results
4.3 Free surface simulation in water entry problems
4.3.1 Numerical implementation
4.3.2 Numerical results and validation
References
5 Extended lattice Boltzmann model for rarefied nonequilibrium flows in porous media
5.1 Extended LB approach:higher-order regularization and kineticboundary conditions
5.1.1 Extended lattice Boltzmann versus Grad's generalized hydrodynamics
5.2 Flow across flat plates at increasing Knudsen
5.3 Three-dimensional flow through array of sphere References
6 Lattice Boltzmann approach to reactive flows in nano-porous catalysts
6.1 Relevant non-dimensional numbers in reactive flows
6.2 The reactive boundary condition
6.3 Consistency of reaction time
6.4 Numerical simulations
6.5 Effect of the Damk6hler number
6.6 Effects of the Knudsen number
6.7 Upscaling
References
7 Lattice Boltzmann model for water transport inside sub-nano graphene membranes
7.1 Background
7.2 Experimental details
7.3 Augmented LB for water transport inside GO membranes
7.4 Results
7.5 Inside the flow structure
7.6 Sub-nano tuning of graphene flakes' spacing in GO membrane:effects on permeability
7.7 Some remarks on the slip length in nano-channel flows References
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