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Building Information Modeling: BIM in Current and Future Practice

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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.


Características

  • ISBN: 978-1-118-76630-9
  • Páginas: 423
  • Tamaño: 21x30
  • Edición:
  • Idioma: Inglés
  • Año: 2014

Compra bajo pedidoDisponibilidad: 15 a 30 Días

Contenido Building Information Modeling: BIM in Current and Future Practice

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.

Table of Contents

Foreword
Acknowledgmnts
Introduction

Software Mentioned

PART 1 Design Thinking and BIM

CHAPTER 1 Smart Buildings/Smart(er) Designers: BIM and the Creative Design Process

Glenn Goldman
Andrzej Zarzycki

1.1 Introduction
1.2 Evaluation of Visual Information: Form
1.3 Generative Abilities of Parametric Models
1.4 How Lighting, Thermal, and Structural Considerations Can Drive the Design
1.5 Limitations of Current Parametric Models
1.6 Physics and Materiality
1.6.1 Solving for Multiple Criteria
1.6.2 Other Data Types
1.6.3 Soft Constraints
1.7 Design and Construction 2.0
1.7.1 Context-Aware Data
1.7.2 Beyond a Single Lifespan of the Project
1.8 Conclusion
Discussion Questions

Bibliography

CHAPTER 2 Necessity of Cognitive Modeling in BIM’s Future
Ömer Akin

2.1 Introduction: Some Useful Concepts
2.2 Building Information Modeling: The Brand New World of Design Computing 20
2.3 Cognitive Strategies for BIM: Challenges and Opportunities
2.4 Conclusions
Discussion Questions
References

CHAPTER 3 Modeling Architectural Meaning

Mark J. Clayton

3.1 Introduction
3.2 Architectural Ontology
3.3 Regulating Lines
3.4 Diagrams and Semantics
3.5 Types
3.6 Conclusion
Discussion Questions
References

CHAPTER 4 Knowledge-Based Building Information Modeling

Hugo Sheward
Charles Eastman

4.1 The Potential of Building Information Modeling (BIM) to Capture Design Expertise
4.2 “Vanilla BIM” versus Knowledge-Based BIM
4.3 What Is Design Expertise?
4.3.1 Heuristics Applied to Design Processes
4.3.2 Design Workfl ows and Knowledge-Based BIM
4.4 Capturing and Deploying Design Expertise
4.4.1 Capturing Design Expertise
4.4.2 Embedding Knowledge in BIM
4.4.3 Example 1: Building Service Core
4.4.4 Example 2: Ventilation in Laboratories
4.5 Examples of Deployment
4.5.1 Deployment in Manufacturing
4.5.2 Uses in Architecture, Engineering, and Construction
4.6 Summary

Discussion Questions

References

PART 2 BIM Analytics

CHAPTER 5 Parametric BIM SIM: Integrating Parametric Modeling, BIM, and Simulation for Architectural Design

Wei Yan

5.1 Executive Summary
5.2 Introduction
5.2.1 Parametric Modeling
5.2.2 BIM and Parametric BIM
5.2.3 Building Energy Simulation
5.2.4 A Streamlined Modeling Process
5.3 Complexity and Interfaces
5.3.1 Complexity and Computability
5.3.2 User Interfaces and System Interfaces
5.4 Case Studies
5.4.1 Physical BIM for Thermal and Daylighting Simulations
5.4.2 Parametric BIM-Based Energy Optimization
5.5 Conclusion

Acknowledgments

Discussion Questions

References

CHAPTER 6 Models and Measurement: Changing Design Value with Simulation, Analysis, and Outcomes

Phillip G. Bernstein
Matt Jezyk

6.1 Introduction
6.2 BIM 1.0
6.3 Analysis and Simulation through BIM 1.0
6.5 Geometry, Behavioral Properties, Parameters, and Analysis
6.6 Ideation and Design Production under BIM 2.0
6.7 Design Empowerment
6.8 Conclusion: Avenues to Alternative Value Generation

Discussion Questions

References

CHAPTER 7 Energy Modeling in Conceptual Design
Timothy Hemsath

7.1 Introduction
7.2 Building Performance Simulation (BPS)
7.3 BIM’s Role in the Process
7.4 Conceptual Design Decisions
7.5 Sensitivity Analysis and Optimization
7.5.1 Sensitivity Analysis
7.5.2 Conceptual Design Optimization
7.6 BIM Affordances
7.7 Conclusion

Acknowledgments
Discussion Questions
References

CHAPTER 8 Performance Art: Analytics and the New Theater of Design Practice

 
Daniel Davis
Nathan Miller

8.1 Introduction
8.2 Instruments
8.3 Analytics
8.4 Interactions
8.5 Conclusion: Algorithms Are Thoughts
Discussion Questions

References

CHAPTER 9 Automated Energy Performance Visualization for BIM

 
Paola Sanguinetti
Pasi Paasiala
Charles Eastman

9.1 Introduction
9.2 Case Study: Automated Analysis of U.S. Courthouse Models for GSA
9.2.1 Preliminary Concept Design (PCD)
9.2.2 Post-Processing for Energy Analysis
9.2.3 Building Model Property Defi nition
9.3 Performance Visualization
9.3.1 Aggregation of Simulation Output Variables
9.3.2 Visualization of Thermal Flows
9.4 Discussion
9.5 Conclusion

Acknowledgments
Discussion Questions
References

CHAPTER 10 Urban Energy Information Modeling: High Fidelity Aggregated Building Simulation for District Energy Systems

Nina Baird
Shalini Ramesh
Henry Johnstone
Khee Poh Lam

10.1 Introduction
10.2 Understanding District Energy Systems
10.3 Community Energy Planning
10.4 Dynamic Energy Mapping
10.4.1 An Initial Example: Pittsburgh’s Lower Hill District
10.4.2 Urban Energy Simulation of the Lower Hill District
10.4.3 Future Improvements Using Cloud Services
10.4.4 First Order District System Analysis
10.4.5 Data Visualization for Time-of-Use Aggregate Load Profi les
10.4.6 Interpreting Lower Hill District Results
10.5 The Future: BIM in Urban Energy Information Modeling

Discussion Questions

References

CHAPTER 11 BIM and the Predesign Process: Modeling the Unknown
Michael Donn

11.1 Introduction
11.1.1 Current BIM Concepts Limit Performance Analysis
11.1.2 Performance Analysis in Early Design
11.2 Limits of Traditional Early Design Analysis
11.2.1 The Promise of BIM in Early Design
11.2.2 Performative (Generative) Design as a Solution
11.2.3 Daylight Design Example of Limits of Traditional Analysis
11.2.4 Modern Performance Metrics in Daylight Design
11.3 BIM-Based Detailed Performance Analysis
11.3.1 A BIM Is More than a Representation of a Building
11.3.2 The Role of the Analyst in Performance Simulation
11.3.3 Tools for Rapid Evaluation of Design Scenarios
11.4 Conclusion: Inventing a New BIM for Early Design Analysis

Discussion Questions
References

CHAPTER 12 Analytical BIM: BIM Fragments, Domain Gaps, and Other Impediments

Karen M. Kensek

12.1 Introduction
12.2 Analytical Modeling
12.3 Building Information Modeling
12.4 Levels of BIM
12.4.1 Pre-BIM: Planning Stages
12.4.2 BIM Light: A Component-Based 3D Model
12.4.3 BIM + Information
12.4.4 BIM + Knowledge
12.4.5 BIM + Decisions
12.5 FDEIC Knowledge
12.6 Feedback Loop
12.7 Fragment BIMs and Three Gaps
12.7.1 Architect to Energy Consultant
12.7.2 Architect to Contractor
12.7.3 Architect and Contractor to Facilities Manager and Owner
12.8 Conclusion

Acknowledgments

Discussion Questions

References

PART 3 Comprehensive BIM

CHAPTER 13 One BIM to Rule Them All: Future Reality or Myth?

Brian R. Johnson

13.1 Introduction
13.2 A Brief History of the Single Model
13.3 The 2D Interregnum
13.3.1 Drawings versus Models
13.4 What’s Wrong with This Picture?
13.4.1 Task Complexity
13.4.2 Software Complexity
13.4.3 When a Model Isn’t Enough: Data versus Process
13.4.4 Limitations on Data as an Expression of Intent
13.4.5 People and Cognition
13.5 One BIM to Rule Them All?

Discussion Questions

References

CHAPTER 14 Component-Based BIM: A Comprehensive, Detailed, Single-Model Strategy

14.1 Executive Summary
14.2 The Wicked Problem of Making Architecture
14.2.1 Design Complexity and Uniqueness
14.2.2 Fragmentation and Multiple Representations
14.2.3 Redesign and Discovery
14.3 Implementing Component-Based Design
14.3.1 The Component-Based Paradigm: Overview
14.3.2 Product/Manufacturer Links
14.3.3 External Reasoning
14.3.4 BIM-Driven Component Modeling
14.3.5 Component-Based Model Example
14.3.6 Component Model as Authority
14.4  Conclusion

Discussion Questions
References

CHAPTER 15 BIM Ecosystem: The Coevolution of Products, Processes, and People
Ning Gu
Vishal Singh
Kerry London

15.1 Introduction
15.2 Coevolution of Products, Processes, and People
15.3 Understanding the Industry Context of BIM
15.3.1 Fundamental Characteristics of BIM and Their Evolution
15.3.2 Industry Perception of BIM-Related Products, Processes, and People
15.4 Establishing a BIM Ecosystem: Operational and Support Technical Requirements in BIM
15.5 Establishing a BIM Ecosystem: Collaborative Platform BIM Decision Framework
15.5.1 Current Scope and Development of the Decision Framework
15.5.2 Sections of the Decision Framework for BIM Implementation
15.5.3 Applying the Decision Framework in Collaborative Practice
15.6 Discussion and Future BIM Ecosystem
15.6.1 Key Issues and Implication of Future BIM Ecosystem
15.6.2 Preparing for Future BIM Ecosystem

Discussion Questions

References

PART 4 Reasoning with BIM

CHAPTER 16 BIM, Materials, and Fabrication

Christopher Beorkrem

16.1 The Uber-Detail
16.2 Materials
16.3 The Logic of Materiality
16.4 Soft Data
16.5 Backward BIM
16.6 BIM, Materials, and Fabrication
16.7 Going Forward
16.8 Conclusion
Discussion Questions

References

CHAPTER 17 Communicating Semantics through Model Restructuring and Representation
Ramesh Krishnamurti
Varvara Toulkeridou
Tajin Biswas

17.1 Introduction
17.2 Spatial Reasoning and Querying
17.2.1 BIM as an Infrastructure for Spatial Reasoning
17.2.2 Extraction, Restructuring, Representation
17.2.3 Spatial Topology Data Extraction from IFC
17.2.4 Prototype for Spatial Topology Queries
17.3 Reasoning for Green Certifi cation
17.3.1 Aggregation, Augmentation, Representation
17.3.2 Prototype for Green Certifi cation
17.4 Conclusion
Discussion Questions
References

CHAPTER 18 BIM as a Catalyst to Foster Creativity through Collaboration

Murali Paranandi

18.1 Introduction
18.2 The Role of Collaboration in Design
18.3 Social Framework
18.3.1 The Human Side
18.3.2 Defi ne and Manage Roles
18.3.3 Co-locating to Facilitate Dialog
18.4 Computational Workfl ows
18.4.1 Tools for Designing and Collaborating
18.4.2 Collaborative Prototyping
18.4.3 Crowdsourcing
18.4.4 Knowledge Capture and Sharing in the Cloud
18.5 Conclusion
18.5.1 Feedback to Academia
18.5.2 Feedback to the Profession

Acknowledgments
Discussion Questions
References

CHAPTER 19 BIM and Virtual Reconstruction: A Long-Term View of (Re-)Modeling
Bob Martens
Herbert Peter

19.1 Executive Summary
19.2 Introduction
19.3 BIM and Virtual Reconstruction
19.4 Information Basis: Model Tree Structures
19.5 Model Porting and Data Exchange
19.5.1 Model Porting
19.5.2 Data Exchange
19.6 Outlook: Where Do We Go from Here?
19.7 Conclusion

Discussion Questions

References

PART 5 Professional BIM


CHAPTER 20 Managing BIM Projects, Organizations, and Policies: Turning Aspirations into Quantitative Measures of Success

Calvin Kam

20.1 Introduction
20.2 Scorecard Methodology
20.3 Project Evaluation
20.4 Continuous Evaluation
20.5 Performance Indicators
20.6 Portfolio Evaluation
20.7 Country-Level BIM Evaluations
20.8 Conclusion
Acknowledgments
Discussion Questions

References

CHAPTER 21 Space: The First (and Final) Frontier of BIM

Stephen R Hagan

21.1 Introduction
21.2 Historical Perspectives of Space and the Facility Life Cycle
21.3 Space, Measurement, and BIM
21.4 BIM Spatial Pioneers: Coast Guard and GSA
21.5 Project Spatial BIM: Connecting Program to Design, Construction, and Facility Management
21.6 Geospatial, Campus-Wide, and Services-Oriented Spatial BIM
21.7 Standardizing Spatial BIM: IFMA-BOMA, BISDM, CityGML, and Indoor Navigation
21.8 Conclusion
Discussion Questions
References

CHAPTER 22 Translating Designs for Construction + Operations: The Future of BIM in a World of Material and Energy Scarcity
Franca Trubiano

22.1 Buildings, Information, and Modeling
22.1.1 The Promise
22.1.2 The Critique
22.2 The Changing Character of Architectural Representations
22.3 Facilitating the Translation from Design to Construction—with Matter
22.4 Facilitating the Translation from Design to Operations—with Energy
22.5 Conclusion
Discussion Questions
References

CHAPTER 23 Marx, BIM, and Contemporary Labor
Peggy Deamer


23.1 BIM and Work
23.2 BIM Managers: What They Are Doing
23.2.1 Design versus Technology
23.2.2 Networked Tasks
23.2.3 Political/Organizational Change
23.3 The Enactment of Enlightened Management Theory
23.4 Conclusion: Post-Capitalist Architecture
Discussion Questions
References

PART 6 BIM Speculation

CHAPTER 24 Beyond BIM: Next-Generation Building Information Modeling to Support Form, Function, and Use of Buildings
Yehuda E. Kalay
Davide Schaumann
Seung Wan Hong
Davide Simeone

24.1 Rationale
24.2 The Shortcomings of BIM
24.3 Form, Function, Use
24.3.1 Form
24.3.2 Function
24.3.3 Use
24.4 Dependencies
24.4.1 Form versus Function
24.4.2 Form versus Use
24.4.3 Function versus Use
24.5 Objectives
24.6 Methodology
24.7 Implementation
24.8 Conclusion
Acknowledgments
Discussion Questions
References

CHAPTER 25 Engines of Information: Big Data from Small Buildings
Chandler Ahrens

Aaron Sprecher

25.1 Introduction
25.2 Data to Information
25.3 Looking through the Lens of Data
25.4 Building an Information Model
25.5 The Present Future
25.6 IM: Drop the (B)
25.7 Information to Knowledge
25.8 Conclusion
Discussion Questions
References

CHAPTER 26 BIM and MetaBIM: Design Narrative and Modeling Building Information
Mark Bur

26.1 Background to a Series of Dilemmas
26.2 A Case in Point: The Sagrada Família Basilica Sala Creuer
26.2.1 Sala Creuer Documentation
26.2.2 Project Phases
26.3 Creative Digital Workflow as BIM
26.4 Watch This Space . . .
Acknowledgments
Discussion Questions
Glossary
Author Biographies
Index

 

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