Building information modeling : (Record no. 52036)

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fixed length control field 140422s2014 nju o 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2014016119
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118766613 (ePub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119174752
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Classification number TH438.13
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 690.0285
Edition number 23
245 00 - TITLE STATEMENT
Title Building information modeling :
Remainder of title BIM in current and future practice /
Statement of responsibility, etc Karen M. Kensek, Douglas E. Noble.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, New Jersey :
Name of publisher, distributor, etc Wiley.,
Date of publication, distribution, etc [2014]
264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc c2014
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (432 pages).
336 ## - CONTENT TYPE
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337 ## - MEDIA TYPE
Media type term computer
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338 ## - CARRIER TYPE
Carrier type term online resource
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General note ABOUT THE AUTHOR<br/>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).
500 ## - GENERAL NOTE
General note Includes index.
505 0# - CONTENTS
Formatted contents note Foreword xvii<br/>Acknowledgments xxi<br/><br/>Introduction xxiii<br/><br/>Software Mentioned xxxi<br/><br/>PART 1 Design Thinking and BIM 1<br/><br/>CHAPTER 1 Smart Buildings/Smart(er) Designers: BIM and the Creative Design Process<br/>Glenn Goldman<br/>Andrzej Zarzycki<br/><br/>1.1 Introduction 3<br/><br/>1.2 Evaluation of Visual Information: Form 5<br/><br/>1.3 Generative Abilities of Parametric Models 6<br/><br/>1.4 How Lighting, Thermal, and Structural Considerations Can Drive the Design 6<br/><br/>1.5 Limitations of Current Parametric Models 8<br/><br/>1.6 Physics and Materiality 9<br/><br/>1.6.1 Solving for Multiple Criteria 10<br/><br/>1.6.2 Other Data Types 10<br/><br/>1.6.3 Soft Constraints 11<br/><br/>1.7 Design and Construction 2.0 12<br/><br/>1.7.1 Context-Aware Data 12<br/><br/>1.7.2 Beyond a Single Lifespan of the Project 13<br/><br/>1.8 Conclusion 15<br/><br/>Discussion Questions 15<br/><br/>Bibliography 16<br/><br/>CHAPTER 2 Necessity of Cognitive Modeling in BIM’s Future 17<br/>Ömer Akin<br/><br/>2.1 Introduction: Some Useful Concepts 17<br/><br/>2.2 Building Information Modeling: The Brand New World of Design Computing 20<br/><br/>2.3 Cognitive Strategies for BIM: Challenges and Opportunities 21<br/><br/>2.4 Conclusions 26<br/><br/>Discussion Questions 26<br/><br/>References 27<br/><br/>CHAPTER 3 Modeling Architectural Meaning 29<br/>Mark J. Clayton<br/><br/>3.1 Introduction 29<br/><br/>3.2 Architectural Ontology 30<br/><br/>3.3 Regulating Lines 30<br/><br/>3.4 Diagrams and Semantics 36<br/><br/>3.5 Types 38<br/><br/>3.6 Conclusion 40<br/><br/>Discussion Questions 40<br/><br/>References 41<br/><br/>CHAPTER 4 Knowledge-Based Building Information Modeling 43<br/>Hugo Sheward<br/>Charles Eastman<br/><br/>4.1 The Potential of Building Information Modeling (BIM) to Capture Design Expertise 43<br/><br/>4.2 “Vanilla BIM” versus Knowledge-Based BIM 44<br/><br/>4.3 What Is Design Expertise? 44<br/><br/>4.3.1 Heuristics Applied to Design Processes 45<br/><br/>4.3.2 Design Workfl ows and Knowledge-Based BIM 46<br/><br/>4.4 Capturing and Deploying Design Expertise 47<br/><br/>4.4.1 Capturing Design Expertise 47<br/><br/>4.4.2 Embedding Knowledge in BIM 47<br/><br/>4.4.3 Example 1: Building Service Core 49<br/><br/>4.4.4 Example 2: Ventilation in Laboratories 50<br/><br/>4.5 Examples of Deployment 53<br/><br/>4.5.1 Deployment in Manufacturing 53<br/><br/>4.5.2 Uses in Architecture, Engineering, and Construction 53<br/><br/>4.6 Summary 54<br/><br/>Discussion Questions 54<br/><br/>References 55<br/><br/>PART 2 BIM Analytics 57<br/><br/>CHAPTER 5 Parametric BIM SIM: Integrating Parametric Modeling, BIM, and Simulation for Architectural Design 59<br/>Wei Yan<br/><br/>5.1 Executive Summary 59<br/><br/>5.2 Introduction 59<br/><br/>5.2.1 Parametric Modeling 60<br/><br/>5.2.2 BIM and Parametric BIM 60<br/><br/>5.2.3 Building Energy Simulation 61<br/><br/>5.2.4 A Streamlined Modeling Process 63<br/><br/>5.3 Complexity and Interfaces 65<br/><br/>5.3.1 Complexity and Computability 65<br/><br/>5.3.2 User Interfaces and System Interfaces 66<br/><br/>5.4 Case Studies 69<br/><br/>5.4.1 Physical BIM for Thermal and Daylighting Simulations 69<br/><br/>5.4.2 Parametric BIM-Based Energy Optimization 72<br/><br/>5.5 Conclusion 74<br/><br/>Acknowledgments 74<br/><br/>Discussion Questions 74<br/><br/>References 75<br/><br/>CHAPTER 6 Models and Measurement: Changing Design Value with Simulation, Analysis, and Outcomes 79<br/>Phillip G. Bernstein<br/>Matt Jezyk<br/><br/>6.1 Introduction 79<br/><br/>6.2 BIM 1.0 80<br/><br/>6.3 Analysis and Simulation through BIM 1.0 80<br/><br/>6.4 BIM 2.0 83<br/><br/>6.5 Geometry, Behavioral Properties, Parameters, and Analysis 85<br/><br/>6.6 Ideation and Design Production under BIM 2.0 89<br/><br/>6.7 Design Empowerment 91<br/><br/>6.8 Conclusion: Avenues to Alternative Value Generation 91<br/><br/>Discussion Questions 92<br/><br/>References 93<br/><br/>CHAPTER 7 Energy Modeling in Conceptual Design 95<br/>Timothy Hemsath<br/><br/>7.1 Introduction 95<br/><br/>7.2 Building Performance Simulation (BPS) 95<br/><br/>7.3 BIM’s Role in the Process 97<br/><br/>7.4 Conceptual Design Decisions 98<br/><br/>7.5 Sensitivity Analysis and Optimization 101<br/><br/>7.5.1 Sensitivity Analysis 101<br/><br/>7.5.2 Conceptual Design Optimization 102<br/><br/>7.6 BIM Affordances 105<br/><br/>7.7 Conclusion 107<br/><br/>Acknowledgments 107<br/><br/>Discussion Questions 107<br/><br/>References 108<br/><br/>CHAPTER 8 Performance Art: Analytics and the New Theater of Design Practice 109<br/>Daniel Davis<br/>Nathan Miller<br/><br/>8.1 Introduction 109<br/><br/>viii Contents<br/><br/>8.2 Instruments 110<br/><br/>8.3 Analytics 112<br/><br/>8.4 Interactions 115<br/><br/>8.5 Conclusion: Algorithms Are Thoughts 116<br/><br/>Discussion Questions 117<br/><br/>References 117<br/><br/>CHAPTER 9 Automated Energy Performance Visualization for BIM 119<br/>Paola Sanguinetti<br/>Pasi Paasiala<br/>Charles Eastman<br/><br/>9.1 Introduction 119<br/><br/>9.2 Case Study: Automated Analysis of U.S. Courthouse Models for GSA 120<br/><br/>9.2.1 Preliminary Concept Design (PCD) 120<br/><br/>9.2.2 Post-Processing for Energy Analysis 120<br/><br/>9.2.3 Building Model Property Defi nition 123<br/><br/>9.3 Performance Visualization 123<br/><br/>9.3.1 Aggregation of Simulation Output Variables 124<br/><br/>9.3.2 Visualization of Thermal Flows 124<br/><br/>9.4 Discussion 125<br/><br/>9.5 Conclusion 127<br/><br/>Acknowledgments 127<br/><br/>Discussion Questions 127<br/><br/>References 127<br/><br/>CHAPTER 10 Urban Energy Information Modeling: High Fidelity Aggregated Building Simulation for District Energy Systems 129<br/>Nina Baird<br/>Shalini Ramesh<br/>Henry Johnstone<br/>Khee Poh Lam<br/><br/>10.1 Introduction 129<br/><br/>10.2 Understanding District Energy Systems 129<br/><br/>10.3 Community Energy Planning 130<br/><br/>10.4 Dynamic Energy Mapping 132<br/><br/>10.4.1 An Initial Example: Pittsburgh’s Lower Hill District 132<br/><br/>10.4.2 Urban Energy Simulation of the Lower Hill District 133<br/><br/>10.4.3 Future Improvements Using Cloud Services 134<br/><br/>10.4.4 First Order District System Analysis 135<br/><br/>10.4.5 Data Visualization for Time-of-Use Aggregate Load Profi les 136<br/><br/>10.4.6 Interpreting Lower Hill District Results 137<br/><br/>10.5 The Future: BIM in Urban Energy Information Modeling 139<br/><br/>Discussion Questions 140<br/><br/>References 140<br/><br/>CHAPTER 11 BIM and the Predesign Process: Modeling the Unknown 143<br/>Michael Donn<br/><br/>11.1 Introduction 143<br/><br/>11.1.1 Current BIM Concepts Limit Performance Analysis 144<br/><br/>11.1.2 Performance Analysis in Early Design 144<br/><br/>11.2 Limits of Traditional Early Design Analysis 145<br/><br/>11.2.1 The Promise of BIM in Early Design 145<br/><br/>11.2.2 Performative (Generative) Design as a Solution 145<br/><br/>11.2.3 Daylight Design Example of Limits of Traditional Analysis 147<br/><br/>11.2.4 Modern Performance Metrics in Daylight Design 147<br/><br/>11.3 BIM-Based Detailed Performance Analysis 149<br/><br/>11.3.1 A BIM Is More than a Representation of a Building 149<br/><br/>11.3.2 The Role of the Analyst in Performance Simulation 150<br/><br/>11.3.3 Tools for Rapid Evaluation of Design Scenarios 152<br/><br/>11.4 Conclusion: Inventing a New BIM for Early Design Analysis 153<br/><br/>Discussion Questions 154<br/><br/>References 154<br/><br/>CHAPTER 12 Analytical BIM: BIM Fragments, Domain Gaps, and Other Impediments 157<br/>Karen M. Kensek<br/><br/>12.1 Introduction 157<br/><br/>12.2 Analytical Modeling 157<br/><br/>12.3 Building Information Modeling 158<br/><br/>12.4 Levels of BIM 159<br/><br/>12.4.1 Pre-BIM: Planning Stages 161<br/><br/>12.4.2 BIM Light: A Component-Based 3D Model 161<br/><br/>12.4.3 BIM + Information 161<br/><br/>12.4.4 BIM + Knowledge 162<br/><br/>12.4.5 BIM + Decisions 163<br/><br/>12.5 FDEIC Knowledge 164<br/><br/>12.6 Feedback Loop 165<br/><br/>12.7 Fragment BIMs and Three Gaps 166<br/><br/>12.7.1 Architect to Energy Consultant 167<br/><br/>12.7.2 Architect to Contractor 167<br/><br/>12.7.3 Architect and Contractor to Facilities Manager and Owner 169<br/><br/>12.8 Conclusion 170<br/><br/>Acknowledgments 170<br/><br/>Discussion Questions 170<br/><br/>References 171<br/><br/>PART 3 Comprehensive BIM 173<br/><br/>CHAPTER 13 One BIM to Rule Them All: Future Reality or Myth? 175<br/>Brian R. Johnson<br/><br/>13.1 Introduction 175<br/><br/>13.2 A Brief History of the Single Model 175<br/><br/>13.3 The 2D Interregnum 176<br/><br/>13.3.1 Drawings versus Models 176<br/><br/>13.4 What’s Wrong with This Picture? 177<br/><br/>13.4.1 Task Complexity 177<br/><br/>13.4.2 Software Complexity 179<br/><br/>13.4.3 When a Model Isn’t Enough: Data versus Process 180<br/><br/>13.4.4 Limitations on Data as an Expression of Intent 181<br/><br/>13.4.5 People and Cognition 182<br/><br/>13.5 One BIM to Rule Them All? 183<br/><br/>Discussion Questions 184<br/><br/>References 184<br/><br/>CHAPTER 14 Component-Based BIM: A Comprehensive, Detailed, Single-Model Strategy 187<br/>Anton C. Harfmann<br/><br/>14.1 Executive Summary 187<br/><br/>14.2 The Wicked Problem of Making Architecture 188<br/><br/>14.2.1 Design Complexity and Uniqueness 188<br/><br/>14.2.2 Fragmentation and Multiple Representations 189<br/><br/>14.2.3 Redesign and Discovery 189<br/><br/>14.3 Implementing Component-Based Design 190<br/><br/>14.3.1 The Component-Based Paradigm: Overview 190<br/><br/>14.3.2 Product/Manufacturer Links 191<br/><br/>14.3.3 External Reasoning 191<br/><br/>14.3.4 BIM-Driven Component Modeling 192<br/><br/>14.3.5 Component-Based Model Example 192<br/><br/>14.3.6 Component Model as Authority 195<br/><br/>14.4 Conclusion 195<br/><br/>Discussion Questions 196<br/><br/>References 196<br/><br/>CHAPTER 15 BIM Ecosystem: The Coevolution of Products, Processes, and People 197<br/>Ning Gu<br/>Vishal Singh<br/>Kerry London<br/><br/>15.1 Introduction 197<br/><br/>15.2 Coevolution of Products, Processes, and People 198<br/><br/>15.3 Understanding the Industry Context of BIM 199<br/><br/>15.3.1 Fundamental Characteristics of BIM and Their Evolution 199<br/><br/>15.3.2 Industry Perception of BIM-Related Products, Processes, and People 201<br/><br/>15.4 Establishing a BIM Ecosystem: Operational and Support Technical Requirements in BIM 202<br/><br/>15.5 Establishing a BIM Ecosystem: Collaborative Platform BIM Decision Framework 203<br/><br/>15.5.1 Current Scope and Development of the Decision Framework 203<br/><br/>15.5.2 Sections of the Decision Framework for BIM Implementation 204<br/><br/>15.5.3 Applying the Decision Framework in Collaborative Practice 204<br/><br/>15.6 Discussion and Future BIM Ecosystem 207<br/><br/>15.6.1 Key Issues and Implication of Future BIM Ecosystem 207<br/><br/>15.6.2 Preparing for Future BIM Ecosystem 208<br/><br/>Discussion Questions 209<br/><br/>References 209<br/><br/>PART 4 Reasoning with BIM 211<br/><br/>CHAPTER 16 BIM, Materials, and Fabrication 213<br/>Christopher Beorkrem<br/><br/>16.1 The Uber-Detail 213<br/><br/>16.2 Materials 214<br/><br/>16.3 The Logic of Materiality 215<br/><br/>16.4 Soft Data 218<br/><br/>16.5 Backward BIM 220<br/><br/>16.6 BIM, Materials, and Fabrication 222<br/><br/>16.7 Going Forward 222<br/><br/>16.8 Conclusion 223<br/><br/>Discussion Questions 224<br/><br/>References 224<br/><br/>CHAPTER 17 Communicating Semantics through Model Restructuring and Representation 225<br/>Ramesh Krishnamurti<br/>Varvara Toulkeridou<br/>Tajin Biswas<br/><br/>17.1 Introduction 225<br/><br/>17.2 Spatial Reasoning and Querying 227<br/><br/>17.2.1 BIM as an Infrastructure for Spatial Reasoning 227<br/><br/>17.2.2 Extraction, Restructuring, Representation 227<br/><br/>17.2.3 Spatial Topology Data Extraction from IFC 228<br/><br/>17.2.4 Prototype for Spatial Topology Queries 229<br/><br/>17.3 Reasoning for Green Certifi cation 230<br/><br/>17.3.1 Aggregation, Augmentation, Representation 231<br/><br/>17.3.2 Prototype for Green Certifi cation 232<br/><br/>17.4 Conclusion 233<br/><br/>Discussion Questions 233<br/><br/>References 234<br/><br/>CHAPTER 18 BIM as a Catalyst to Foster Creativity through Collaboration 237<br/>Murali Paranandi<br/><br/>18.1 Introduction 237<br/><br/>18.2 The Role of Collaboration in Design 238<br/><br/>18.3 Social Framework 238<br/><br/>18.3.1 The Human Side 239<br/><br/>18.3.2 Defi ne and Manage Roles 240<br/><br/>18.3.3 Co-locating to Facilitate Dialog 241<br/><br/>18.4 Computational Workfl ows 242<br/><br/>18.4.1 Tools for Designing and Collaborating 242<br/><br/>18.4.2 Collaborative Prototyping 243<br/><br/>18.4.3 Crowdsourcing 244<br/><br/>18.4.4 Knowledge Capture and Sharing in the Cloud 245<br/><br/>18.5 Conclusion 247<br/><br/>18.5.1 Feedback to Academia 247<br/><br/>18.5.2 Feedback to the Profession 247<br/><br/>Acknowledgments 248<br/><br/>Discussion Questions 248<br/><br/>References 248<br/><br/>CHAPTER 19 BIM and Virtual Reconstruction: A Long-Term View of (Re-)Modeling 251<br/>Bob Martens<br/>Herbert Peter<br/><br/>19.1 Executive Summary 251<br/><br/>19.2 Introduction 252<br/><br/>19.3 BIM and Virtual Reconstruction 253<br/><br/>19.4 Information Basis: Model Tree Structures 257<br/><br/>19.5 Model Porting and Data Exchange 261<br/><br/>19.5.1 Model Porting 262<br/><br/>19.5.2 Data Exchange 262<br/><br/>19.6 Outlook: Where Do We Go from Here? 263<br/><br/>19.7 Conclusion 264<br/><br/>Discussion Questions 264<br/><br/>References 264<br/><br/>PART 5 Professional BIM 267<br/><br/>CHAPTER 20 Managing BIM Projects, Organizations, and Policies: Turning Aspirations into Quantitative Measures of Success 269<br/>Calvin Kam<br/><br/>20.1 Introduction 269<br/><br/>20.2 Scorecard Methodology 270<br/><br/>20.3 Project Evaluation 272<br/><br/>20.4 Continuous Evaluation 275<br/><br/>20.5 Performance Indicators 276<br/><br/>20.6 Portfolio Evaluation 277<br/><br/>20.7 Country-Level BIM Evaluations 278<br/><br/>20.8 Conclusion 279<br/><br/>Acknowledgments 280<br/><br/>Discussion Questions 280<br/><br/>References 280<br/><br/>CHAPTER 21 Space: The First (and Final) Frontier of BIM 281<br/>Stephen R Hagan<br/><br/>21.1 Introduction 281<br/><br/>21.2 Historical Perspectives of Space and the Facility Life Cycle 282<br/><br/>21.3 Space, Measurement, and BIM 282<br/><br/>21.4 BIM Spatial Pioneers: Coast Guard and GSA 283<br/><br/>21.5 Project Spatial BIM: Connecting Program to Design, Construction, and Facility Management 288<br/><br/>21.6 Geospatial, Campus-Wide, and Services-Oriented Spatial BIM 289<br/><br/>21.7 Standardizing Spatial BIM: IFMA-BOMA, BISDM, CityGML, and Indoor Navigation 290<br/><br/>21.8 Conclusion 290<br/><br/>Discussion Questions 292<br/><br/>References 292<br/><br/>CHAPTER 22 Translating Designs for Construction + Operations: The Future of BIM in a World of Material and Energy Scarcity 295<br/>Franca Trubiano<br/><br/>22.1 Buildings, Information, and Modeling 295<br/><br/>22.1.1 The Promise 295<br/><br/>22.1.2 The Critique 296<br/><br/>22.2 The Changing Character of Architectural Representations 297<br/><br/>22.3 Facilitating the Translation from Design to Construction—with Matter 299<br/><br/>22.4 Facilitating the Translation from Design to Operations—with Energy 308<br/><br/>22.5 Conclusion 310<br/><br/>Discussion Questions 311<br/><br/>References 311<br/><br/>CHAPTER 23 Marx, BIM, and Contemporary Labor 313<br/>Peggy Deamer<br/><br/>23.1 BIM and Work 313<br/><br/>23.2 BIM Managers: What They Are Doing 314<br/><br/>23.2.1 Design versus Technology 314<br/><br/>23.2.2 Networked Tasks 315<br/><br/>23.2.3 Political/Organizational Change 316<br/><br/>23.3 The Enactment of Enlightened Management Theory 317<br/><br/>23.4 Conclusion: Post-Capitalist Architecture 319<br/><br/>Discussion Questions 319<br/><br/>References 319<br/><br/>PART 6 BIM Speculation 321<br/><br/>CHAPTER 24 Beyond BIM: Next-Generation Building Information Modeling to Support Form, Function, and Use of Buildings 323<br/>Yehuda E. Kalay<br/>Davide Schaumann<br/>Seung Wan Hong<br/>Davide Simeone<br/><br/>24.1 Rationale 323<br/><br/>24.2 The Shortcomings of BIM 325<br/><br/>24.3 Form, Function, Use 327<br/><br/>24.3.1 Form 327<br/><br/>24.3.2 Function 327<br/><br/>24.3.3 Use 328<br/><br/>24.4 Dependencies 329<br/><br/>24.4.1 Form versus Function 329<br/><br/>24.4.2 Form versus Use 330<br/><br/>24.4.3 Function versus Use 330<br/><br/>24.5 Objectives 330<br/><br/>24.6 Methodology 330<br/><br/>24.7 Implementation 331<br/><br/>24.8 Conclusion 334<br/><br/>Acknowledgments 334<br/><br/>Discussion Questions 334<br/><br/>References 334<br/><br/>CHAPTER 25 Engines of Information: Big Data from Small Buildings 337<br/>Chandler Ahrens<br/>Aaron Sprecher<br/><br/>25.1 Introduction 337<br/><br/>25.2 Data to Information 338<br/><br/>25.3 Looking through the Lens of Data 340<br/><br/>25.4 Building an Information Model 342<br/><br/>25.5 The Present Future 343<br/><br/>25.6 IM: Drop the (B) 344<br/><br/>25.7 Information to Knowledge 347<br/><br/>25.8 Conclusion 347<br/><br/>Discussion Questions 347<br/><br/>References 348<br/><br/>CHAPTER 26 BIM and MetaBIM: Design Narrative and Modeling Building Information 349<br/>Mark Burry<br/><br/>26.1 Background to a Series of Dilemmas 349<br/><br/>26.2 A Case in Point: The Sagrada Família Basilica Sala Creuer 351<br/><br/>26.2.1 Sala Creuer Documentation 351<br/><br/>26.2.2 Project Phases 352<br/><br/>26.3 Creative Digital Workflow as BIM 357<br/><br/>26.4 Watch This Space . . . 360<br/><br/>Acknowledgments 362<br/><br/>Discussion Questions 362<br/><br/>Glossary 363<br/><br/>Author Biographies 373<br/><br/>Index 385
520 ## - SUMMARY, ETC.
Summary, etc The bright future and exciting possibilities of BIM<br/><br/>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.<br/><br/>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:<br/><br/>Design Thinking and BIM<br/>BIM Analytics<br/>Comprehensive BIM<br/>Reasoning with BIM<br/>Professional BIM<br/>BIM Speculations<br/>Together, these authors provide stimulating ideas regarding new directions in building information modeling.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on print version record and CIP data provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Building information modeling.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kensek, Karen M.,
Dates associated with a name 1962-
Relator term editor of compilation.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Noble, Douglas E.
856 ## - ELECTRONIC LOCATION AND ACCESS
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