Name: Mechanical Characterization Using Digital Image Correlation: Advanced Fibrous Composite Laminates (en Inglés)
Price: 70500.00 CLP
Availability: InStock
Author: Merzkirch, Matthias
ISBN: 9783030840426

portada Mechanical Characterization Using Digital Image Correlation: Advanced Fibrous Composite Laminates (en Inglés)

Formato

Libro Físico

Autor

Matthias Merzkirch

Editorial

Springer

Idioma

Inglés

N° páginas

295

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.4 x 1.8 cm

Peso

0.57 kg.

ISBN13

9783030840426

N° edición

Categorías

Tecnología de la cerámica y el vidrio
Ingeniería mecánica
Aplicaciones gráficas y multimedia

Mechanical Characterization Using Digital Image Correlation: Advanced Fibrous Composite Laminates (en Inglés)

Matthias Merzkirch (Autor) · Springer · Tapa Blanda

Libro Físico

$ 70.500

$ 141.000

Ahorras: $ 70.500

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Mechanical Characterization Using Digital Image Correlation: Advanced Fibrous Composite Laminates (en Inglés)"

In this book, a precise treatment of the experimental characterization of advanced composite materials using Digital Image Correlation (DIC) is presented. The text explains test methods, testing setup with 2D- and stereo-DIC, specimen preparation and patterning, testing analysis and data reduction schemes to determine and to compare mechanical properties, such as modulus, strength and fracture toughness of advanced composite materials. Sensitivity and uncertainty studies on the DIC calculated data and mechanical properties for a detailed engineering-based understanding are covered instead of idealized theories and sugarcoated results. The book provides students, instructors, researchers and engineers in industrial or government institutions, and practitioners working in the field of experimental/applied structural mechanics of materials a myriad of color figures from DIC measurements for better explanation, datasets of material properties serving as input parameters for analytical modelling, raw data and computer codes for data reduction, illustrative graphs for teaching purposes, practice exercises with solutions provided online and extensive references to the literature at the end of each stand-alone chapter.