Parametric Analysis, Generative Design and Machine Learning in Architectural Practice

Preface xi

Acknowledgments xv

Part One: Back ground and Definitions 1

Chapter 1

COMPUTER-AIDED DESIGN AND BUILDING INFORMATION MODELING 3

Computer Aided Design 5

Building Information Modeling 9

Chapter 2

COMPUTATIONAL DESIGN AND PARAMETRIC DESIGN 19

Computational Design 19

Parametric Design 30

Chapter 3

WHAT IS PARAMETRIC DESIGN? 41

Definition of Parametric Design 41

The Need for Parametric Design 47

Project Case: Parametric Analysis 51

Project Case: Generative Design 60

Part Two: Parametric Analysis 73

Chapter 4

METHODS OF PARAMETRIC ANALYSIS 75

Performing Energy Simulations 75

Performing Daylight Simulations 82

Daylight Analysis Process 83

Performing Parametric Analysis 90

Evaluating Parametric Analysis 97

Chapter 5

PARAMETRIC ANALYSIS FOR ENERGY AND DAYLIGHT PERFORMANCE 105

Energy Analysis Project Case: Hotel Residence 105

Project Case: Student Housing 112

Project Case: Student Residence 120

Project Case: High School Building 132

Part Three: Generative Design 139

Chapter 6

METHODS OF GENERATIVE DESIGN 141

Space Partitioning Algorithms 146

Site Subdivision Algorithms 155

Form Making Algorithms 160

Chapter 7

GENERATIVE DESIGN AT THE URBAN DESIGN SCALE 171

Project Case: Business Park 172

Project Case: Mixed Housing 179

Chapter 8

GENERATIVE DESIGN AT THE BUILDING SCALE AND INTERIOR DESIGN SCALE 195

Generative Design at the Building Scale 195

Generative Design at the Interior Design Scale 206

Part Four: Machine L earning 219

Chapter 9

MACHINE LEARNING FOR ENERGY ANALYSIS 221

Machine Learning Algorithms 223

Project Case: Residential Tower 230

Chapter 10

DEEP LEARNING FOR SOLAR ANALYSIS 239

Types of Deep Learning Algorithm 241

Generative Adversarial Networks 246

Project Case: Urban Solar 252

Bibliography 257

Index 259