Name: Advances in Digital Image Correlation (Dic) (en Inglés)
Price: 62370.00 CLP
Availability: InStock
Author: Périé, Jean-Noël ; Passieux, Jean-Charles
ISBN: 9783039285143

portada Advances in Digital Image Correlation (Dic) (en Inglés)

Formato

Libro Físico

Editorial

Mdpi AG

Autor

Périé, Jean-Noël ; Passieux, Jean-Charles

Año

2020

Idioma

Inglés

N° páginas

252

Encuadernación

Tapa Dura

Dimensiones

24.4 x 17.0 x 2.1 cm

Peso

0.74 kg.

ISBN13

9783039285143

Categorías

Tecnología: cuestiones generales

Advances in Digital Image Correlation (Dic) (en Inglés)

Périé, Jean-Noël ; Passieux, Jean-Charles (Autor) · Mdpi AG · Tapa Dura

Libro Nuevo

$ 62.370

$ 124.730

Ahorras: $ 62.360

50% descuento

Envío normal

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

Se enviará desde nuestra bodega entre el Lunes 29 de Julio y el Lunes 05 de Agosto.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Advances in Digital Image Correlation (Dic) (en Inglés)"

Digital image correlation (DIC) has become the most popular full field measurement technique in experimental mechanics. It is a versatile and inexpensive measurement method that provides a large amount of experimental data. Because DIC takes advantage of a huge variety of image modalities, the technique allows covering a wide range of space and time scales. Stereo extends the scope of DIC to non-planar cases, which are more representative of industrial use cases. With the development of tomography, digital volume correlation now provides access to volumetric data, enabling the study of the inner behavior of materials and structures.However, the use of DIC data to quantitatively validate models or accurately identify a set of constitutive parameters remains challenging. One of the reasons lies in the compromises between measurement resolution and spatial resolution. Second, the question of the boundary conditions is still open. Another reason is that the measured displacements are not directly comparable with usual simulations. Finally, the use of full field data leads to new computational challenges.