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The bright future and exciting possibilities of BIM
Many architects and engineers regard BIM as a disruptive force, changing the way building professionals design, build, and ultimately manage a built structure. With its emphasis on continuing advances in BIM research, teaching, and practice, Building Information Modeling: BIM in Current and Future Practice encourages readers to transform disruption to opportunity and challenges them to reconsider their preconceptions about BIM.
Thought leaders from universities and professional practice composed essays exploring BIM s potential to…mehr
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The bright future and exciting possibilities of BIM
Many architects and engineers regard BIM as a disruptive force, changing the way building professionals design, build, and ultimately manage a built structure. With its emphasis on continuing advances in BIM research, teaching, and practice, Building Information Modeling: BIM in Current and Future Practice encourages readers to transform disruption to opportunity and challenges them to reconsider their preconceptions about BIM.
Thought leaders from universities and professional practice composed essays exploring BIM s potential to improve the products and processes of architectural design including the structure and content of the tools themselves. These authors provide insights for assessing the current practice and research directions of BIM and speculate about its future. The twenty-six chapters are thematically grouped in six sections that present complementary and sometimes incompatible positions:
Design Thinking and BIM
BIM Analytics
Comprehensive BIM
Reasoning with BIM
Professional BIM
BIM Speculations
Together, these authors provide stimulating ideas regarding new directions in building information modeling.
Many architects and engineers regard BIM as a disruptive force, changing the way building professionals design, build, and ultimately manage a built structure. With its emphasis on continuing advances in BIM research, teaching, and practice, Building Information Modeling: BIM in Current and Future Practice encourages readers to transform disruption to opportunity and challenges them to reconsider their preconceptions about BIM.
Thought leaders from universities and professional practice composed essays exploring BIM s potential to improve the products and processes of architectural design including the structure and content of the tools themselves. These authors provide insights for assessing the current practice and research directions of BIM and speculate about its future. The twenty-six chapters are thematically grouped in six sections that present complementary and sometimes incompatible positions:
Design Thinking and BIM
BIM Analytics
Comprehensive BIM
Reasoning with BIM
Professional BIM
BIM Speculations
Together, these authors provide stimulating ideas regarding new directions in building information modeling.
Produktdetails
- Produktdetails
- Verlag: Wiley & Sons
- 1. Auflage
- Seitenzahl: 432
- Erscheinungstermin: 9. Juni 2014
- Englisch
- Abmessung: 241mm x 197mm x 30mm
- Gewicht: 666g
- ISBN-13: 9781118766309
- ISBN-10: 111876630X
- Artikelnr.: 40684051
- Verlag: Wiley & Sons
- 1. Auflage
- Seitenzahl: 432
- Erscheinungstermin: 9. Juni 2014
- Englisch
- Abmessung: 241mm x 197mm x 30mm
- Gewicht: 666g
- ISBN-13: 9781118766309
- ISBN-10: 111876630X
- Artikelnr.: 40684051
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 1.7 Design and
Construction 2.0 12 1.8 Conclusion 15 Discussion Questions 15 Bibliography
16 CHAPTER 2 Necessity of Cognitive Modeling in BIM's Future 17 Ömer 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 4.4 Capturing and Deploying Design Expertise
47 4.5 Examples of Deployment 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 5.3
Complexity and Interfaces 65 5.4 Case Studies 69 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 7.6 BIM Affordances 105 7.7
Conclusion 107 Acknowledgments 107 Discussion Questions 107 References 108
CHAPTER 8 Performance Art: Analytics and the New Theater of Design Practice
109 Daniel Davis Nathan Miller 8.1 Introduction 109 viii Contents 8.2
Instruments 110 8.3 Analytics 112 8.4 Interactions 115 8.5 Conclusion:
Algorithms Are Thoughts 116 Discussion Questions 117 References 117 CHAPTER
9 Automated Energy Performance Visualization for BIM 119 Paola Sanguinetti
Pasi Paasiala Charles Eastman 9.1 Introduction 119 9.2 Case Study:
Automated Analysis of U.S. Courthouse Models for GSA 120 9.3 Performance
Visualization 123 9.4 Discussion 125 9.5 Conclusion 127 Acknowledgments 127
Discussion Questions 127 References 127 CHAPTER 10 Urban Energy Information
Modeling: High Fidelity Aggregated Building Simulation for District Energy
Systems 129 Nina Baird Shalini Ramesh Henry Johnstone Khee Poh Lam 10.1
Introduction 129 10.2 Understanding District Energy Systems 129 10.3
Community Energy Planning 130 10.4 Dynamic Energy Mapping 132 10.5 The
Future: BIM in Urban Energy Information Modeling 139 Discussion Questions
140 References 140 CHAPTER 11 BIM and the Predesign Process: Modeling the
Unknown 143 Michael Donn 11.1 Introduction 143 11.2 Limits of Traditional
Early Design Analysis 145 11.3 BIM-Based Detailed Performance Analysis 149
11.4 Conclusion: Inventing a New BIM for Early Design Analysis 153
Discussion Questions 154 References 154 CHAPTER 12 Analytical BIM: BIM
Fragments, Domain Gaps, and Other Impediments 157 Karen M. Kensek 12.1
Introduction 157 12.2 Analytical Modeling 157 12.3 Building Information
Modeling 158 12.4 Levels of BIM 159 12.5 FDEIC Knowledge 164 12.6 Feedback
Loop 165 12.7 Fragment BIMs and Three Gaps 166 12.8 Conclusion 170
Acknowledgments 170 Discussion Questions 170 References 171 PART 3
Comprehensive BIM 173 CHAPTER 13 One BIM to Rule Them All: Future Reality
or Myth? 175 Brian R. Johnson 13.1 Introduction 175 13.2 A Brief History of
the Single Model 175 13.3 The 2D Interregnum 176 13.4 What's Wrong with
This Picture? 177 13.5 One BIM to Rule Them All? 183 Discussion Questions
184 References 184 CHAPTER 14 Component-Based BIM: A Comprehensive,
Detailed, Single-Model Strategy 187 Anton C. Harfmann 14.1 Executive
Summary 187 14.2 The Wicked Problem of Making Architecture 188 14.3
Implementing Component-Based Design 190 14.4 Conclusion 195 Discussion
Questions 196 References 196 CHAPTER 15 BIM Ecosystem: The Coevolution of
Products, Processes, and People 197 Ning Gu Vishal Singh Kerry London 15.1
Introduction 197 15.2 Coevolution of Products, Processes, and People 198
15.3 Understanding the Industry Context of BIM 199 15.4 Establishing a BIM
Ecosystem: Operational and Support Technical Requirements in BIM 202 15.5
Establishing a BIM Ecosystem: Collaborative Platform BIM Decision Framework
203 15.6 Discussion and Future BIM Ecosystem 207 Discussion Questions 209
References 209 PART 4 Reasoning with BIM 211 CHAPTER 16 BIM, Materials, and
Fabrication 213 Christopher Beorkrem 16.1 The Uber-Detail 213 16.2
Materials 214 16.3 The Logic of Materiality 215 16.4 Soft Data 218 16.5
Backward BIM 220 16.6 BIM, Materials, and Fabrication 222 16.7 Going
Forward 222 16.8 Conclusion 223 Discussion Questions 224 References 224
CHAPTER 17 Communicating Semantics through Model Restructuring and
Representation 225 Ramesh Krishnamurti Varvara Toulkeridou Tajin Biswas
17.1 Introduction 225 17.2 Spatial Reasoning and Querying 227 17.3
Reasoning for Green Certifi cation 230 17.4 Conclusion 233 Discussion
Questions 233 References 234 CHAPTER 18 BIM as a Catalyst to Foster
Creativity through Collaboration 237 Murali Paranandi 18.1 Introduction 237
18.2 The Role of Collaboration in Design 238 18.3 Social Framework 238 18.4
Computational Workfl ows 242 18.5 Conclusion 247 Acknowledgments 248
Discussion Questions 248 References 248 CHAPTER 19 BIM and Virtual
Reconstruction: A Long-Term View of (Re-)Modeling 251 Bob Martens Herbert
Peter 19.1 Executive Summary 251 19.2 Introduction 252 19.3 BIM and Virtual
Reconstruction 253 19.4 Information Basis: Model Tree Structures 257 19.5
Model Porting and Data Exchange 261 19.6 Outlook: Where Do We Go from Here?
263 19.7 Conclusion 264 Discussion Questions 264 References 264 PART 5
Professional BIM 267 CHAPTER 20 Managing BIM Projects, Organizations, and
Policies: Turning Aspirations into Quantitative Measures of Success 269
Calvin Kam 20.1 Introduction 269 20.2 Scorecard Methodology 270 20.3
Project Evaluation 272 20.4 Continuous Evaluation 275 20.5 Performance
Indicators 276 20.6 Portfolio Evaluation 277 20.7 Country-Level BIM
Evaluations 278 20.8 Conclusion 279 Acknowledgments 280 Discussion
Questions 280 References 280 CHAPTER 21 Space: The First (and Final)
Frontier of BIM 281 Stephen R Hagan 21.1 Introduction 281 21.2 Historical
Perspectives of Space and the Facility Life Cycle 282 21.3 Space,
Measurement, and BIM 282 21.4 BIM Spatial Pioneers: Coast Guard and GSA 283
21.5 Project Spatial BIM: Connecting Program to Design, Construction, and
Facility Management 288 21.6 Geospatial, Campus-Wide, and Services-Oriented
Spatial BIM 289 21.7 Standardizing Spatial BIM: IFMA-BOMA, BISDM, CityGML,
and Indoor Navigation 290 21.8 Conclusion 290 Discussion Questions 292
References 292 CHAPTER 22 Translating Designs for Construction +
Operations: The Future of BIM in a World of Material and Energy Scarcity
295 Franca Trubiano 22.1 Buildings, Information, and Modeling 295 22.2 The
Changing Character of Architectural Representations 297 22.3 Facilitating
the Translation from Design to Construction--with Matter 299 22.4
Facilitating the Translation from Design to Operations--with Energy 308
22.5 Conclusion 310 Discussion Questions 311 References 311 CHAPTER 23
Marx, BIM, and Contemporary Labor 313 Peggy Deamer 23.1 BIM and Work 313
23.2 BIM Managers: What They Are Doing 314 23.3 The Enactment of
Enlightened Management Theory 317 23.4 Conclusion: Post-Capitalist
Architecture 319 Discussion Questions 319 References 319 PART 6 BIM
Speculation 321 CHAPTER 24 Beyond BIM: Next-Generation Building Information
Modeling to Support Form, Function, and Use of Buildings 323 Yehuda E.
Kalay Davide Schaumann Seung Wan Hong Davide Simeone 24.1 Rationale 323
24.2 The Shortcomings of BIM 325 24.3 Form, Function, Use 327 24.4
Dependencies 329 24.5 Objectives 330 24.6 Methodology 330 24.7
Implementation 331 24.8 Conclusion 334 Acknowledgments 334 Discussion
Questions 334 References 334 CHAPTER 25 Engines of Information: Big Data
from Small Buildings 337 Chandler Ahrens Aaron Sprecher 25.1 Introduction
337 25.2 Data to Information 338 25.3 Looking through the Lens of Data 340
25.4 Building an Information Model 342 25.5 The Present Future 343 25.6 IM:
Drop the (B) 344 25.7 Information to Knowledge 347 25.8 Conclusion 347
Discussion Questions 347 References 348 CHAPTER 26 BIM and MetaBIM: Design
Narrative and Modeling Building Information 349 Mark Burry 26.1 Background
to a Series of Dilemmas 349 26.2 A Case in Point: The Sagrada Família
Basilica Sala Creuer 351 26.3 Creative Digital Workflow as BIM 357 26.4
Watch This Space . . . 360 Acknowledgments 362 Discussion Questions 362
Glossary 363 Author Biographies 373 Index 385
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 1.7 Design and
Construction 2.0 12 1.8 Conclusion 15 Discussion Questions 15 Bibliography
16 CHAPTER 2 Necessity of Cognitive Modeling in BIM's Future 17 Ömer 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 4.4 Capturing and Deploying Design Expertise
47 4.5 Examples of Deployment 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 5.3
Complexity and Interfaces 65 5.4 Case Studies 69 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 7.6 BIM Affordances 105 7.7
Conclusion 107 Acknowledgments 107 Discussion Questions 107 References 108
CHAPTER 8 Performance Art: Analytics and the New Theater of Design Practice
109 Daniel Davis Nathan Miller 8.1 Introduction 109 viii Contents 8.2
Instruments 110 8.3 Analytics 112 8.4 Interactions 115 8.5 Conclusion:
Algorithms Are Thoughts 116 Discussion Questions 117 References 117 CHAPTER
9 Automated Energy Performance Visualization for BIM 119 Paola Sanguinetti
Pasi Paasiala Charles Eastman 9.1 Introduction 119 9.2 Case Study:
Automated Analysis of U.S. Courthouse Models for GSA 120 9.3 Performance
Visualization 123 9.4 Discussion 125 9.5 Conclusion 127 Acknowledgments 127
Discussion Questions 127 References 127 CHAPTER 10 Urban Energy Information
Modeling: High Fidelity Aggregated Building Simulation for District Energy
Systems 129 Nina Baird Shalini Ramesh Henry Johnstone Khee Poh Lam 10.1
Introduction 129 10.2 Understanding District Energy Systems 129 10.3
Community Energy Planning 130 10.4 Dynamic Energy Mapping 132 10.5 The
Future: BIM in Urban Energy Information Modeling 139 Discussion Questions
140 References 140 CHAPTER 11 BIM and the Predesign Process: Modeling the
Unknown 143 Michael Donn 11.1 Introduction 143 11.2 Limits of Traditional
Early Design Analysis 145 11.3 BIM-Based Detailed Performance Analysis 149
11.4 Conclusion: Inventing a New BIM for Early Design Analysis 153
Discussion Questions 154 References 154 CHAPTER 12 Analytical BIM: BIM
Fragments, Domain Gaps, and Other Impediments 157 Karen M. Kensek 12.1
Introduction 157 12.2 Analytical Modeling 157 12.3 Building Information
Modeling 158 12.4 Levels of BIM 159 12.5 FDEIC Knowledge 164 12.6 Feedback
Loop 165 12.7 Fragment BIMs and Three Gaps 166 12.8 Conclusion 170
Acknowledgments 170 Discussion Questions 170 References 171 PART 3
Comprehensive BIM 173 CHAPTER 13 One BIM to Rule Them All: Future Reality
or Myth? 175 Brian R. Johnson 13.1 Introduction 175 13.2 A Brief History of
the Single Model 175 13.3 The 2D Interregnum 176 13.4 What's Wrong with
This Picture? 177 13.5 One BIM to Rule Them All? 183 Discussion Questions
184 References 184 CHAPTER 14 Component-Based BIM: A Comprehensive,
Detailed, Single-Model Strategy 187 Anton C. Harfmann 14.1 Executive
Summary 187 14.2 The Wicked Problem of Making Architecture 188 14.3
Implementing Component-Based Design 190 14.4 Conclusion 195 Discussion
Questions 196 References 196 CHAPTER 15 BIM Ecosystem: The Coevolution of
Products, Processes, and People 197 Ning Gu Vishal Singh Kerry London 15.1
Introduction 197 15.2 Coevolution of Products, Processes, and People 198
15.3 Understanding the Industry Context of BIM 199 15.4 Establishing a BIM
Ecosystem: Operational and Support Technical Requirements in BIM 202 15.5
Establishing a BIM Ecosystem: Collaborative Platform BIM Decision Framework
203 15.6 Discussion and Future BIM Ecosystem 207 Discussion Questions 209
References 209 PART 4 Reasoning with BIM 211 CHAPTER 16 BIM, Materials, and
Fabrication 213 Christopher Beorkrem 16.1 The Uber-Detail 213 16.2
Materials 214 16.3 The Logic of Materiality 215 16.4 Soft Data 218 16.5
Backward BIM 220 16.6 BIM, Materials, and Fabrication 222 16.7 Going
Forward 222 16.8 Conclusion 223 Discussion Questions 224 References 224
CHAPTER 17 Communicating Semantics through Model Restructuring and
Representation 225 Ramesh Krishnamurti Varvara Toulkeridou Tajin Biswas
17.1 Introduction 225 17.2 Spatial Reasoning and Querying 227 17.3
Reasoning for Green Certifi cation 230 17.4 Conclusion 233 Discussion
Questions 233 References 234 CHAPTER 18 BIM as a Catalyst to Foster
Creativity through Collaboration 237 Murali Paranandi 18.1 Introduction 237
18.2 The Role of Collaboration in Design 238 18.3 Social Framework 238 18.4
Computational Workfl ows 242 18.5 Conclusion 247 Acknowledgments 248
Discussion Questions 248 References 248 CHAPTER 19 BIM and Virtual
Reconstruction: A Long-Term View of (Re-)Modeling 251 Bob Martens Herbert
Peter 19.1 Executive Summary 251 19.2 Introduction 252 19.3 BIM and Virtual
Reconstruction 253 19.4 Information Basis: Model Tree Structures 257 19.5
Model Porting and Data Exchange 261 19.6 Outlook: Where Do We Go from Here?
263 19.7 Conclusion 264 Discussion Questions 264 References 264 PART 5
Professional BIM 267 CHAPTER 20 Managing BIM Projects, Organizations, and
Policies: Turning Aspirations into Quantitative Measures of Success 269
Calvin Kam 20.1 Introduction 269 20.2 Scorecard Methodology 270 20.3
Project Evaluation 272 20.4 Continuous Evaluation 275 20.5 Performance
Indicators 276 20.6 Portfolio Evaluation 277 20.7 Country-Level BIM
Evaluations 278 20.8 Conclusion 279 Acknowledgments 280 Discussion
Questions 280 References 280 CHAPTER 21 Space: The First (and Final)
Frontier of BIM 281 Stephen R Hagan 21.1 Introduction 281 21.2 Historical
Perspectives of Space and the Facility Life Cycle 282 21.3 Space,
Measurement, and BIM 282 21.4 BIM Spatial Pioneers: Coast Guard and GSA 283
21.5 Project Spatial BIM: Connecting Program to Design, Construction, and
Facility Management 288 21.6 Geospatial, Campus-Wide, and Services-Oriented
Spatial BIM 289 21.7 Standardizing Spatial BIM: IFMA-BOMA, BISDM, CityGML,
and Indoor Navigation 290 21.8 Conclusion 290 Discussion Questions 292
References 292 CHAPTER 22 Translating Designs for Construction +
Operations: The Future of BIM in a World of Material and Energy Scarcity
295 Franca Trubiano 22.1 Buildings, Information, and Modeling 295 22.2 The
Changing Character of Architectural Representations 297 22.3 Facilitating
the Translation from Design to Construction--with Matter 299 22.4
Facilitating the Translation from Design to Operations--with Energy 308
22.5 Conclusion 310 Discussion Questions 311 References 311 CHAPTER 23
Marx, BIM, and Contemporary Labor 313 Peggy Deamer 23.1 BIM and Work 313
23.2 BIM Managers: What They Are Doing 314 23.3 The Enactment of
Enlightened Management Theory 317 23.4 Conclusion: Post-Capitalist
Architecture 319 Discussion Questions 319 References 319 PART 6 BIM
Speculation 321 CHAPTER 24 Beyond BIM: Next-Generation Building Information
Modeling to Support Form, Function, and Use of Buildings 323 Yehuda E.
Kalay Davide Schaumann Seung Wan Hong Davide Simeone 24.1 Rationale 323
24.2 The Shortcomings of BIM 325 24.3 Form, Function, Use 327 24.4
Dependencies 329 24.5 Objectives 330 24.6 Methodology 330 24.7
Implementation 331 24.8 Conclusion 334 Acknowledgments 334 Discussion
Questions 334 References 334 CHAPTER 25 Engines of Information: Big Data
from Small Buildings 337 Chandler Ahrens Aaron Sprecher 25.1 Introduction
337 25.2 Data to Information 338 25.3 Looking through the Lens of Data 340
25.4 Building an Information Model 342 25.5 The Present Future 343 25.6 IM:
Drop the (B) 344 25.7 Information to Knowledge 347 25.8 Conclusion 347
Discussion Questions 347 References 348 CHAPTER 26 BIM and MetaBIM: Design
Narrative and Modeling Building Information 349 Mark Burry 26.1 Background
to a Series of Dilemmas 349 26.2 A Case in Point: The Sagrada Família
Basilica Sala Creuer 351 26.3 Creative Digital Workflow as BIM 357 26.4
Watch This Space . . . 360 Acknowledgments 362 Discussion Questions 362
Glossary 363 Author Biographies 373 Index 385
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 1.7 Design and
Construction 2.0 12 1.8 Conclusion 15 Discussion Questions 15 Bibliography
16 CHAPTER 2 Necessity of Cognitive Modeling in BIM's Future 17 Ömer 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 4.4 Capturing and Deploying Design Expertise
47 4.5 Examples of Deployment 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 5.3
Complexity and Interfaces 65 5.4 Case Studies 69 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 7.6 BIM Affordances 105 7.7
Conclusion 107 Acknowledgments 107 Discussion Questions 107 References 108
CHAPTER 8 Performance Art: Analytics and the New Theater of Design Practice
109 Daniel Davis Nathan Miller 8.1 Introduction 109 viii Contents 8.2
Instruments 110 8.3 Analytics 112 8.4 Interactions 115 8.5 Conclusion:
Algorithms Are Thoughts 116 Discussion Questions 117 References 117 CHAPTER
9 Automated Energy Performance Visualization for BIM 119 Paola Sanguinetti
Pasi Paasiala Charles Eastman 9.1 Introduction 119 9.2 Case Study:
Automated Analysis of U.S. Courthouse Models for GSA 120 9.3 Performance
Visualization 123 9.4 Discussion 125 9.5 Conclusion 127 Acknowledgments 127
Discussion Questions 127 References 127 CHAPTER 10 Urban Energy Information
Modeling: High Fidelity Aggregated Building Simulation for District Energy
Systems 129 Nina Baird Shalini Ramesh Henry Johnstone Khee Poh Lam 10.1
Introduction 129 10.2 Understanding District Energy Systems 129 10.3
Community Energy Planning 130 10.4 Dynamic Energy Mapping 132 10.5 The
Future: BIM in Urban Energy Information Modeling 139 Discussion Questions
140 References 140 CHAPTER 11 BIM and the Predesign Process: Modeling the
Unknown 143 Michael Donn 11.1 Introduction 143 11.2 Limits of Traditional
Early Design Analysis 145 11.3 BIM-Based Detailed Performance Analysis 149
11.4 Conclusion: Inventing a New BIM for Early Design Analysis 153
Discussion Questions 154 References 154 CHAPTER 12 Analytical BIM: BIM
Fragments, Domain Gaps, and Other Impediments 157 Karen M. Kensek 12.1
Introduction 157 12.2 Analytical Modeling 157 12.3 Building Information
Modeling 158 12.4 Levels of BIM 159 12.5 FDEIC Knowledge 164 12.6 Feedback
Loop 165 12.7 Fragment BIMs and Three Gaps 166 12.8 Conclusion 170
Acknowledgments 170 Discussion Questions 170 References 171 PART 3
Comprehensive BIM 173 CHAPTER 13 One BIM to Rule Them All: Future Reality
or Myth? 175 Brian R. Johnson 13.1 Introduction 175 13.2 A Brief History of
the Single Model 175 13.3 The 2D Interregnum 176 13.4 What's Wrong with
This Picture? 177 13.5 One BIM to Rule Them All? 183 Discussion Questions
184 References 184 CHAPTER 14 Component-Based BIM: A Comprehensive,
Detailed, Single-Model Strategy 187 Anton C. Harfmann 14.1 Executive
Summary 187 14.2 The Wicked Problem of Making Architecture 188 14.3
Implementing Component-Based Design 190 14.4 Conclusion 195 Discussion
Questions 196 References 196 CHAPTER 15 BIM Ecosystem: The Coevolution of
Products, Processes, and People 197 Ning Gu Vishal Singh Kerry London 15.1
Introduction 197 15.2 Coevolution of Products, Processes, and People 198
15.3 Understanding the Industry Context of BIM 199 15.4 Establishing a BIM
Ecosystem: Operational and Support Technical Requirements in BIM 202 15.5
Establishing a BIM Ecosystem: Collaborative Platform BIM Decision Framework
203 15.6 Discussion and Future BIM Ecosystem 207 Discussion Questions 209
References 209 PART 4 Reasoning with BIM 211 CHAPTER 16 BIM, Materials, and
Fabrication 213 Christopher Beorkrem 16.1 The Uber-Detail 213 16.2
Materials 214 16.3 The Logic of Materiality 215 16.4 Soft Data 218 16.5
Backward BIM 220 16.6 BIM, Materials, and Fabrication 222 16.7 Going
Forward 222 16.8 Conclusion 223 Discussion Questions 224 References 224
CHAPTER 17 Communicating Semantics through Model Restructuring and
Representation 225 Ramesh Krishnamurti Varvara Toulkeridou Tajin Biswas
17.1 Introduction 225 17.2 Spatial Reasoning and Querying 227 17.3
Reasoning for Green Certifi cation 230 17.4 Conclusion 233 Discussion
Questions 233 References 234 CHAPTER 18 BIM as a Catalyst to Foster
Creativity through Collaboration 237 Murali Paranandi 18.1 Introduction 237
18.2 The Role of Collaboration in Design 238 18.3 Social Framework 238 18.4
Computational Workfl ows 242 18.5 Conclusion 247 Acknowledgments 248
Discussion Questions 248 References 248 CHAPTER 19 BIM and Virtual
Reconstruction: A Long-Term View of (Re-)Modeling 251 Bob Martens Herbert
Peter 19.1 Executive Summary 251 19.2 Introduction 252 19.3 BIM and Virtual
Reconstruction 253 19.4 Information Basis: Model Tree Structures 257 19.5
Model Porting and Data Exchange 261 19.6 Outlook: Where Do We Go from Here?
263 19.7 Conclusion 264 Discussion Questions 264 References 264 PART 5
Professional BIM 267 CHAPTER 20 Managing BIM Projects, Organizations, and
Policies: Turning Aspirations into Quantitative Measures of Success 269
Calvin Kam 20.1 Introduction 269 20.2 Scorecard Methodology 270 20.3
Project Evaluation 272 20.4 Continuous Evaluation 275 20.5 Performance
Indicators 276 20.6 Portfolio Evaluation 277 20.7 Country-Level BIM
Evaluations 278 20.8 Conclusion 279 Acknowledgments 280 Discussion
Questions 280 References 280 CHAPTER 21 Space: The First (and Final)
Frontier of BIM 281 Stephen R Hagan 21.1 Introduction 281 21.2 Historical
Perspectives of Space and the Facility Life Cycle 282 21.3 Space,
Measurement, and BIM 282 21.4 BIM Spatial Pioneers: Coast Guard and GSA 283
21.5 Project Spatial BIM: Connecting Program to Design, Construction, and
Facility Management 288 21.6 Geospatial, Campus-Wide, and Services-Oriented
Spatial BIM 289 21.7 Standardizing Spatial BIM: IFMA-BOMA, BISDM, CityGML,
and Indoor Navigation 290 21.8 Conclusion 290 Discussion Questions 292
References 292 CHAPTER 22 Translating Designs for Construction +
Operations: The Future of BIM in a World of Material and Energy Scarcity
295 Franca Trubiano 22.1 Buildings, Information, and Modeling 295 22.2 The
Changing Character of Architectural Representations 297 22.3 Facilitating
the Translation from Design to Construction--with Matter 299 22.4
Facilitating the Translation from Design to Operations--with Energy 308
22.5 Conclusion 310 Discussion Questions 311 References 311 CHAPTER 23
Marx, BIM, and Contemporary Labor 313 Peggy Deamer 23.1 BIM and Work 313
23.2 BIM Managers: What They Are Doing 314 23.3 The Enactment of
Enlightened Management Theory 317 23.4 Conclusion: Post-Capitalist
Architecture 319 Discussion Questions 319 References 319 PART 6 BIM
Speculation 321 CHAPTER 24 Beyond BIM: Next-Generation Building Information
Modeling to Support Form, Function, and Use of Buildings 323 Yehuda E.
Kalay Davide Schaumann Seung Wan Hong Davide Simeone 24.1 Rationale 323
24.2 The Shortcomings of BIM 325 24.3 Form, Function, Use 327 24.4
Dependencies 329 24.5 Objectives 330 24.6 Methodology 330 24.7
Implementation 331 24.8 Conclusion 334 Acknowledgments 334 Discussion
Questions 334 References 334 CHAPTER 25 Engines of Information: Big Data
from Small Buildings 337 Chandler Ahrens Aaron Sprecher 25.1 Introduction
337 25.2 Data to Information 338 25.3 Looking through the Lens of Data 340
25.4 Building an Information Model 342 25.5 The Present Future 343 25.6 IM:
Drop the (B) 344 25.7 Information to Knowledge 347 25.8 Conclusion 347
Discussion Questions 347 References 348 CHAPTER 26 BIM and MetaBIM: Design
Narrative and Modeling Building Information 349 Mark Burry 26.1 Background
to a Series of Dilemmas 349 26.2 A Case in Point: The Sagrada Família
Basilica Sala Creuer 351 26.3 Creative Digital Workflow as BIM 357 26.4
Watch This Space . . . 360 Acknowledgments 362 Discussion Questions 362
Glossary 363 Author Biographies 373 Index 385
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 1.7 Design and
Construction 2.0 12 1.8 Conclusion 15 Discussion Questions 15 Bibliography
16 CHAPTER 2 Necessity of Cognitive Modeling in BIM's Future 17 Ömer 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 4.4 Capturing and Deploying Design Expertise
47 4.5 Examples of Deployment 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 5.3
Complexity and Interfaces 65 5.4 Case Studies 69 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 7.6 BIM Affordances 105 7.7
Conclusion 107 Acknowledgments 107 Discussion Questions 107 References 108
CHAPTER 8 Performance Art: Analytics and the New Theater of Design Practice
109 Daniel Davis Nathan Miller 8.1 Introduction 109 viii Contents 8.2
Instruments 110 8.3 Analytics 112 8.4 Interactions 115 8.5 Conclusion:
Algorithms Are Thoughts 116 Discussion Questions 117 References 117 CHAPTER
9 Automated Energy Performance Visualization for BIM 119 Paola Sanguinetti
Pasi Paasiala Charles Eastman 9.1 Introduction 119 9.2 Case Study:
Automated Analysis of U.S. Courthouse Models for GSA 120 9.3 Performance
Visualization 123 9.4 Discussion 125 9.5 Conclusion 127 Acknowledgments 127
Discussion Questions 127 References 127 CHAPTER 10 Urban Energy Information
Modeling: High Fidelity Aggregated Building Simulation for District Energy
Systems 129 Nina Baird Shalini Ramesh Henry Johnstone Khee Poh Lam 10.1
Introduction 129 10.2 Understanding District Energy Systems 129 10.3
Community Energy Planning 130 10.4 Dynamic Energy Mapping 132 10.5 The
Future: BIM in Urban Energy Information Modeling 139 Discussion Questions
140 References 140 CHAPTER 11 BIM and the Predesign Process: Modeling the
Unknown 143 Michael Donn 11.1 Introduction 143 11.2 Limits of Traditional
Early Design Analysis 145 11.3 BIM-Based Detailed Performance Analysis 149
11.4 Conclusion: Inventing a New BIM for Early Design Analysis 153
Discussion Questions 154 References 154 CHAPTER 12 Analytical BIM: BIM
Fragments, Domain Gaps, and Other Impediments 157 Karen M. Kensek 12.1
Introduction 157 12.2 Analytical Modeling 157 12.3 Building Information
Modeling 158 12.4 Levels of BIM 159 12.5 FDEIC Knowledge 164 12.6 Feedback
Loop 165 12.7 Fragment BIMs and Three Gaps 166 12.8 Conclusion 170
Acknowledgments 170 Discussion Questions 170 References 171 PART 3
Comprehensive BIM 173 CHAPTER 13 One BIM to Rule Them All: Future Reality
or Myth? 175 Brian R. Johnson 13.1 Introduction 175 13.2 A Brief History of
the Single Model 175 13.3 The 2D Interregnum 176 13.4 What's Wrong with
This Picture? 177 13.5 One BIM to Rule Them All? 183 Discussion Questions
184 References 184 CHAPTER 14 Component-Based BIM: A Comprehensive,
Detailed, Single-Model Strategy 187 Anton C. Harfmann 14.1 Executive
Summary 187 14.2 The Wicked Problem of Making Architecture 188 14.3
Implementing Component-Based Design 190 14.4 Conclusion 195 Discussion
Questions 196 References 196 CHAPTER 15 BIM Ecosystem: The Coevolution of
Products, Processes, and People 197 Ning Gu Vishal Singh Kerry London 15.1
Introduction 197 15.2 Coevolution of Products, Processes, and People 198
15.3 Understanding the Industry Context of BIM 199 15.4 Establishing a BIM
Ecosystem: Operational and Support Technical Requirements in BIM 202 15.5
Establishing a BIM Ecosystem: Collaborative Platform BIM Decision Framework
203 15.6 Discussion and Future BIM Ecosystem 207 Discussion Questions 209
References 209 PART 4 Reasoning with BIM 211 CHAPTER 16 BIM, Materials, and
Fabrication 213 Christopher Beorkrem 16.1 The Uber-Detail 213 16.2
Materials 214 16.3 The Logic of Materiality 215 16.4 Soft Data 218 16.5
Backward BIM 220 16.6 BIM, Materials, and Fabrication 222 16.7 Going
Forward 222 16.8 Conclusion 223 Discussion Questions 224 References 224
CHAPTER 17 Communicating Semantics through Model Restructuring and
Representation 225 Ramesh Krishnamurti Varvara Toulkeridou Tajin Biswas
17.1 Introduction 225 17.2 Spatial Reasoning and Querying 227 17.3
Reasoning for Green Certifi cation 230 17.4 Conclusion 233 Discussion
Questions 233 References 234 CHAPTER 18 BIM as a Catalyst to Foster
Creativity through Collaboration 237 Murali Paranandi 18.1 Introduction 237
18.2 The Role of Collaboration in Design 238 18.3 Social Framework 238 18.4
Computational Workfl ows 242 18.5 Conclusion 247 Acknowledgments 248
Discussion Questions 248 References 248 CHAPTER 19 BIM and Virtual
Reconstruction: A Long-Term View of (Re-)Modeling 251 Bob Martens Herbert
Peter 19.1 Executive Summary 251 19.2 Introduction 252 19.3 BIM and Virtual
Reconstruction 253 19.4 Information Basis: Model Tree Structures 257 19.5
Model Porting and Data Exchange 261 19.6 Outlook: Where Do We Go from Here?
263 19.7 Conclusion 264 Discussion Questions 264 References 264 PART 5
Professional BIM 267 CHAPTER 20 Managing BIM Projects, Organizations, and
Policies: Turning Aspirations into Quantitative Measures of Success 269
Calvin Kam 20.1 Introduction 269 20.2 Scorecard Methodology 270 20.3
Project Evaluation 272 20.4 Continuous Evaluation 275 20.5 Performance
Indicators 276 20.6 Portfolio Evaluation 277 20.7 Country-Level BIM
Evaluations 278 20.8 Conclusion 279 Acknowledgments 280 Discussion
Questions 280 References 280 CHAPTER 21 Space: The First (and Final)
Frontier of BIM 281 Stephen R Hagan 21.1 Introduction 281 21.2 Historical
Perspectives of Space and the Facility Life Cycle 282 21.3 Space,
Measurement, and BIM 282 21.4 BIM Spatial Pioneers: Coast Guard and GSA 283
21.5 Project Spatial BIM: Connecting Program to Design, Construction, and
Facility Management 288 21.6 Geospatial, Campus-Wide, and Services-Oriented
Spatial BIM 289 21.7 Standardizing Spatial BIM: IFMA-BOMA, BISDM, CityGML,
and Indoor Navigation 290 21.8 Conclusion 290 Discussion Questions 292
References 292 CHAPTER 22 Translating Designs for Construction +
Operations: The Future of BIM in a World of Material and Energy Scarcity
295 Franca Trubiano 22.1 Buildings, Information, and Modeling 295 22.2 The
Changing Character of Architectural Representations 297 22.3 Facilitating
the Translation from Design to Construction--with Matter 299 22.4
Facilitating the Translation from Design to Operations--with Energy 308
22.5 Conclusion 310 Discussion Questions 311 References 311 CHAPTER 23
Marx, BIM, and Contemporary Labor 313 Peggy Deamer 23.1 BIM and Work 313
23.2 BIM Managers: What They Are Doing 314 23.3 The Enactment of
Enlightened Management Theory 317 23.4 Conclusion: Post-Capitalist
Architecture 319 Discussion Questions 319 References 319 PART 6 BIM
Speculation 321 CHAPTER 24 Beyond BIM: Next-Generation Building Information
Modeling to Support Form, Function, and Use of Buildings 323 Yehuda E.
Kalay Davide Schaumann Seung Wan Hong Davide Simeone 24.1 Rationale 323
24.2 The Shortcomings of BIM 325 24.3 Form, Function, Use 327 24.4
Dependencies 329 24.5 Objectives 330 24.6 Methodology 330 24.7
Implementation 331 24.8 Conclusion 334 Acknowledgments 334 Discussion
Questions 334 References 334 CHAPTER 25 Engines of Information: Big Data
from Small Buildings 337 Chandler Ahrens Aaron Sprecher 25.1 Introduction
337 25.2 Data to Information 338 25.3 Looking through the Lens of Data 340
25.4 Building an Information Model 342 25.5 The Present Future 343 25.6 IM:
Drop the (B) 344 25.7 Information to Knowledge 347 25.8 Conclusion 347
Discussion Questions 347 References 348 CHAPTER 26 BIM and MetaBIM: Design
Narrative and Modeling Building Information 349 Mark Burry 26.1 Background
to a Series of Dilemmas 349 26.2 A Case in Point: The Sagrada Família
Basilica Sala Creuer 351 26.3 Creative Digital Workflow as BIM 357 26.4
Watch This Space . . . 360 Acknowledgments 362 Discussion Questions 362
Glossary 363 Author Biographies 373 Index 385