GRADIENT SMOOTHING METHODS WITH PROGRAMMING

This unique compendium presents the Gradient Smoothing Methods (GSMs), as a general solver for linear and nonlinear PDEs (Partial Differential Equations) with a focus on fluids and flowing solids.

The volume introduces the basic concepts and theories of the gradient smoothing technique used in the GSMs. Formulations for both Eulerian-GSM and Lagrangian-GSM are presented. The key ingredients of GSMs and its effectiveness in solving challenging fluid/solid flow problems with complex geometries are then discussed.

Applications of GSM are highlighted, including compressible and incompressible flows, hydrodynamics with flexible free surface, and flowing solids with material strength and large deformation in geotechnical engineering, in particular, landslide simulations.

In-house MATLAB codes are provided for both Eulerian and Lagrangian GSMs, along with detailed descriptions. More efficient FORTRAN source codes for solving complex engineering problems are also available on Github.

Contents:

• About the Authors
• Introduction
• Theory for Gradient Smoothing Methods
• Eulerian GSM for Solving Poisson Equation
• Eulerian GSM for Compressible Flows
• Eulerian GSM for Incompressible Flows
• Theory and Formulation for Lagrangian GSM
• L-GSM for Incompressible Hydrodynamics
• L-GSM for Granular Flows in Geotechnical Engineering
• Programming with GSMs and Source Codes
• Index

Readership: Researchers, professionals, academics, and graduate students in engineering mechanics, numerical analysis, environmental engineering and earthquake engineering.