Advanced Mechanics of Continua (Applied and Computational by Karan S. Surana

By Karan S. Surana


Explore the Computational tools and Mathematical types which are attainable via Continuum Mechanics Formulations



Mathematically challenging, but in addition rigorous, certain, and written utilizing very transparent language, Advanced Mechanics of Continua provides an intensive knowing of continuum mechanics. This booklet explores the root of continuum mechanics and constitutive theories of fabrics utilizing comprehensible notations. It doesn't persist with one particular shape, yet as an alternative presents a mixture of notations that whereas many times are assorted than these utilized in present perform, are a traditional selection for the data that they signify. The ebook areas designated emphasis on either matrix and vector notations, and provides fabric utilizing those notations every time possible.



The writer explores the improvement of mathematical descriptions and constitutive theories for deforming solids, fluids, and polymeric fluids—both compressible and incompressible with transparent contrast among Lagrangian and Eulerian descriptions in addition to co- and contravariant bases. He additionally establishes the tensorial nature of pressure measures and effect of rotation of frames on quite a few measures, illustrates the actual that means of the elements of lines, provides the polar decomposition of deformation, and offers the definitions and measures of stress.



Comprised of sixteen chapters, this article covers:





  • Einstein’s notation

  • Index notations

  • Matrix and vector notations

  • Basic definitions and concepts

  • Mathematical preliminaries

  • Tensor calculus and modifications utilizing co- and contra-variant bases

  • Differential calculus of tensors

  • Development of mathematical descriptions and constitutive theories



Advanced Mechanics of Continua prepares graduate scholars for basic and uncomplicated examine paintings in engineering and sciences, offers targeted and constant derivations with readability, and will be used for self-study.

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