Name: Nonlinear Finite Element Method with Python (en Inglés)
SKU: 69146261
Price: 211.20 USD
Availability: InStock
Author: G.R. Liu
ISBN: 9781946018168

portada Nonlinear Finite Element Method with Python (en Inglés)

Nonlinear Finite Element Method with Python (en Inglés)

Formato

Libro Físico

Editorial

Scientech Publisher LLC

Autor

G.R. Liu

Idioma

Inglés

N° páginas

402

Encuadernación

Tapa Dura

ISBN13

9781946018168

Nonlinear Finite Element Method with Python (en Inglés)

G.r. Liu (Autor) · Scientech Publisher LLC · Tapa Dura

Libro Nuevo Importado

Envío: 19 a 26 días háb.

$ 384.00$ 211.20

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 211.20

Llega entre el 09 Nov y el 20 Nov a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Nonlinear Finite Element Method with Python (en Inglés)"

This book presents a modern, implementation-driven introduction to the Nonlinear Finite Element Method (NFEM) for solid mechanics. It bridges classical continuum mechanics with practical computational algorithms, guiding readers from first principles to fully functional nonlinear finite element solvers.Focusing on large deformation, finite strain, hyperelasticity, and elastoplasticity, the text develops both the theoretical foundations and the basic numerical procedures required for real-world analysis. Central topics include Total and Updated Lagrangian formulations,stress and strain measures, constitutive modeling, consistent linearization, and Newton-Raphson solution strategies.Unlike traditional treatments, this book emphasizes computational construction over abstract derivation, showing how nonlinear finite element formulations are implemented step-by-step in Python. Readers gain direct exposure to element-level coding, tangent stiffness assembly, and return-mapping algorithms, supported by clear explanations and application examples.Designed for senior undergraduates, graduate students, and practicing engineers, this work serves as both a learning resource and a practical reference for building modern nonlinear FEM solvers.