Building Information Modeling: BIM in Current and Future Practice

KAREN M. KENSEK and DOUGLAS E. NOBLE teach at the University of Southern California, School of Architecture. Prof. Kensek has received national BIM honors from the AIA TAP committee and Autodesk, hosts an annual conference on Building Information Modeling, and received the 2014 ACSA Award for Creativity with Prof. Noble. They are both past presidents of Association for Computer Aided Design In Architecture (ACADIA) and are active in the American Institute of Architects (AIA).

Foreword xvii Acknowledgments xxi Introduction xxiii Software Mentioned xxxi PART 1 Design Thinking and BIM 1 CHAPTER 1 Smart Buildings/Smart(er) Designers: BIM and the Creative Design Process Glenn Goldman Andrzej Zarzycki 1.1 Introduction 3 1.2 Evaluation of Visual Information: Form 5 1.3 Generative Abilities of Parametric Models 6 1.4 How Lighting, Thermal, and Structural Considerations Can Drive the Design 6 1.5 Limitations of Current Parametric Models 8 1.6 Physics and Materiality 9 1.6.1 Solving for Multiple Criteria 10 1.6.2 Other Data Types 10 1.6.3 Soft Constraints 11 1.7 Design and Construction 2.0 12 1.7.1 Context-Aware Data 12 1.7.2 Beyond a Single Lifespan of the Project 13 1.8 Conclusion 15 Discussion Questions 15 Bibliography 16 CHAPTER 2 Necessity of Cognitive Modeling in BIM's Future 17 OEmer Akin 2.1 Introduction: Some Useful Concepts 17 2.2 Building Information Modeling: The Brand New World of Design Computing 20 2.3 Cognitive Strategies for BIM: Challenges and Opportunities 21 2.4 Conclusions 26 Discussion Questions 26 References 27 CHAPTER 3 Modeling Architectural Meaning 29 Mark J. Clayton 3.1 Introduction 29 3.2 Architectural Ontology 30 3.3 Regulating Lines 30 3.4 Diagrams and Semantics 36 3.5 Types 38 3.6 Conclusion 40 Discussion Questions 40 References 41 CHAPTER 4 Knowledge-Based Building Information Modeling 43 Hugo Sheward Charles Eastman 4.1 The Potential of Building Information Modeling (BIM) to Capture Design Expertise 43 4.2 "Vanilla BIM" versus Knowledge-Based BIM 44 4.3 What Is Design Expertise? 44 4.3.1 Heuristics Applied to Design Processes 45 4.3.2 Design Workfl ows and Knowledge-Based BIM 46 4.4 Capturing and Deploying Design Expertise 47 4.4.1 Capturing Design Expertise 47 4.4.2 Embedding Knowledge in BIM 47 4.4.3 Example 1: Building Service Core 49 4.4.4 Example 2: Ventilation in Laboratories 50 4.5 Examples of Deployment 53 4.5.1 Deployment in Manufacturing 53 4.5.2 Uses in Architecture, Engineering, and Construction 53 4.6 Summary 54 Discussion Questions 54 References 55 PART 2 BIM Analytics 57 CHAPTER 5 Parametric BIM SIM: Integrating Parametric Modeling, BIM, and Simulation for Architectural Design 59 Wei Yan 5.1 Executive Summary 59 5.2 Introduction 59 5.2.1 Parametric Modeling 60 5.2.2 BIM and Parametric BIM 60 5.2.3 Building Energy Simulation 61 5.2.4 A Streamlined Modeling Process 63 5.3 Complexity and Interfaces 65 5.3.1 Complexity and Computability 65 5.3.2 User Interfaces and System Interfaces 66 5.4 Case Studies 69 5.4.1 Physical BIM for Thermal and Daylighting Simulations 69 5.4.2 Parametric BIM-Based Energy Optimization 72 5.5 Conclusion 74 Acknowledgments 74 Discussion Questions 74 References 75 CHAPTER 6 Models and Measurement: Changing Design Value with Simulation, Analysis, and Outcomes 79 Phillip G. Bernstein Matt Jezyk 6.1 Introduction 79 6.2 BIM 1.0 80 6.3 Analysis and Simulation through BIM 1.0 80 6.4 BIM 2.0 83 6.5 Geometry, Behavioral Properties, Parameters, and Analysis 85 6.6 Ideation and Design Production under BIM 2.0 89 6.7 Design Empowerment 91 6.8 Conclusion: Avenues to Alternative Value Generation 91 Discussion Questions 92 References 93 CHAPTER 7 Energy Modeling in Conceptual Design 95 Timothy Hemsath 7.1 Introduction 95 7.2 Building Performance Simulation (BPS) 95 7.3 BIM's Role in the Process 97 7.4 Conceptual Design Decisions 98 7.5 Sensitivity Analysis and Optimization 101 7.5.1 Sensitivity Analysis 101 7.5.2 Conceptual Design Optimization 102 7.6 BIM Affordances 105 7.7 Conclusion 107 Acknowledgments 107 Discussion Questions 107 References 108 CHAPTER 8 Pe