Description |
1 online resource : text file, PDF |
Contents |
Inverse Design Methods for the Built Environment- Front Cover; Inverse Design Methods for the Built Environment; Title Page; Copyright Page; Contents; Preface; Nomenclature; List of abbreviations; Chapter 1: Methods for inverse/optimal design of an enclosed environment; 1.1 Introduction; 1.2 Inverse design for an enclosed environment; 1.3 Discussion; 1.4 Conclusions; Chapter 2: CFD-based genetic algorithm method; 2.1 Introduction; 2.2 Principles of the CFD-based genetic algorithm; 2.3 Applications of the CFD-based genetic algorithm; 2.4 Discussion; 2.5 Summary |
|
Chapter 3: CFD-based adjoint method3.1 Introduction; 3.2 CFD-based adjoint method; 3.3 Application of the CFD-based adjoint method; 3.4 Conclusions; Chapter 4: CFD-based artificial neural network method; 4.1 Introduction; 4.2 Principles of the CFD-based ANN method; 4.3 Application of the CFD-based ANN method; 4.4 Discussion; 4.5 Conclusions; Chapter 5: CFD-based proper orthogonal decomposition method; 5.1 Introduction; 5.2 Principles of inverse design with the CFD-based POD method; 5.3 Application of the CFD-based POD method; 5.4 Conclusions |
|
Chapter 6: Enhancement of the inverse design methods6.1 Introduction; 6.2 Integration of genetic algorithm and adjoint method; 6.3 Integration of genetic algorithm method and artificial neural network; 6.4 Enhancement of computing speed by fast fluid dynamics; 6.5 Enhancement of computing speed by semi-Lagrangian PISO algorithm; 6.6 Discussion; 6.7 Conclusions; Index |
Summary |
"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."--Provided by publisher |
Subject |
Buildings -- Environmental engineering -- Mathematics
|
|
Computational fluid dynamics.
|
|
Inverse relationships (Mathematics)
|
|
Ventilation -- Mathematical models
|
|
TECHNOLOGY & ENGINEERING -- General.
|
|
TECHNOLOGY & ENGINEERING -- Construction -- General.
|
|
Computational fluid dynamics
|
|
Inverse relationships (Mathematics)
|
|
Ventilation -- Mathematical models
|
Form |
Electronic book
|
Author |
Zhai, Zhiqiang
|
|
You, Xueyi
|
|
Zhang, Tengfei
|
ISBN |
9781315468013 |
|
1315468018 |
|