Name: Inverse Design Methods for the Built Environment (en Inglés)
Price: 178900.00 CLP
Availability: InStock
Author: Chen, Qingyan ; Zhai, Zhiqiang ; You, Xueyi
ISBN: 9781138204980

portada Inverse Design Methods for the Built Environment (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

264

Encuadernación

Tapa Dura

Dimensiones

24.9 x 17.5 x 2.0 cm

Peso

0.73 kg.

ISBN13

9781138204980

Categorías

Arquitectura
Calefacción, iluminación, ventilación

Inverse Design Methods for the Built Environment (en Inglés)

Qingyan Chen (Autor) · Zhiqiang Zhai (Autor) · Xueyi You (Autor) · Routledge · Tapa Dura

Libro Físico

$ 178.900

$ 325.280

Ahorras: $ 146.380

45% descuento

Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Martes 25 de Junio y el Viernes 05 de Julio.

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

Reseña del libro "Inverse Design Methods for the Built Environment (en Inglés)"

The inverse design approach is new to the built environment research and design community, though it has been used in other industries including automobile and airplane design. This book, from some of the pioneers of inverse design applications in the built environment, introduces the basic principles of inverse design and the specific techniques that can be applied to built environment systems. The authors' inverse design concept uses the desired enclosed environment as the design objective and inversely determines the systems required to achieve the objective. The book discusses a number of backward and forward methods for inverse design. Backward methods, such as the quasi-reversibility method, the pseudo-reversibility method, and the regularized inverse matrix method, can be used to identify contaminant sources in an enclosed environment. However, these methods cannot be used to inversely design a desired indoor environment. Forward methods, such as the computational-fluid-dynamics (CFD)-based genetic algorithm (GA) method, the CFD-based adjoint method, the CFD-based artificial neural network (ANN) method, and the CFD-based proper orthogonal decomposition (POD) method, show the promise in the inverse design of airflow and heat transfer in an enclosed environment. The book describes the fundamentals of the methods for beginners, provides exciting design examples for the reader to duplicate, discusses the pros and cons of each design method and points out the knowledge gaps for further development.