Software and Plug-in Acknowledgments |
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xv | |
Acknowledgments |
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xvii | |
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Chapter 01 Introduction to Parametric Design: Basics in Relation to Architectural Design Process Phases |
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1 | (9) |
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1.1 What Is Parametric Design? |
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2 | (2) |
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1.2 Developments in Design Thinking |
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4 | (2) |
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1.2.1 Cognitive Models of Design Thinking |
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4 | (1) |
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1.2.2 Computational Models of Digital Design Thinking: Computer-Aided Design and Digital Architectural Design |
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4 | (1) |
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1.2.3 The New Wave of Digital Design: Parametric Models of Design |
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5 | (1) |
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1.3 Basics of Parametric Interface, CAD Interface, and Parametric Relationships Using Rhinoceros and Grasshopper |
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6 | (3) |
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1.3.1 Relationships between Geometry and Geometric Representations in Rhinoceros and Grasshopper |
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6 | (1) |
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1.3.2 Basic Command Component Structure in Rhinoceros |
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7 | (1) |
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1.3.3 Coordinated Interrelationships of Components in Grasshopper |
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8 | (1) |
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1.4 Parametric Thinking, Parametric Methods, and the Architectural Design Process |
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9 | (1) |
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Chapter 02 History and Conceptual Framework of Parametric Design in Architecture |
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10 | (10) |
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2.1 Parametric Thinking: Before Computers and Digital Methods for Parametric Thinking |
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11 | (1) |
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2.2 Parametric Design Following the Proliferation of Computers and Digital Applications |
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11 | (2) |
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2.3 "Parametricism" and the Current Debate |
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13 | (4) |
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2.3.1 The Parametricist Manifesto of 2008 |
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13 | (1) |
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2.3.2 Responses and Discussions Triggered by the Parametricist Manifesto |
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14 | (2) |
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16 | (1) |
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2.4 Parametric Design and Architectural Research |
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17 | (1) |
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2.4.1 The Operationalization Challenge |
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17 | (1) |
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2.4.2 Parametric Methods and Architectural Research |
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17 | (1) |
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2.5 Parametric Design and Prospective Futures |
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18 | (2) |
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Chapter 03 Site Analysis: Understanding the Site and Its Context Using Parametric Methods |
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20 | (28) |
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3.1 Site Analysis: Methods |
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20 | (1) |
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3.1.1 Site visits, observations, and archival methods |
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20 | (1) |
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3.2 Elements of Site Analysis |
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21 | (1) |
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3.2.1 Contextual Information, Rules, Regulations, and Physical Conditions in and around the Site |
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21 | (1) |
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3.2.2 Environmental Information about the Site and Its Context |
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21 | (1) |
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3.3 Parametric Methods for Site Analysis |
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22 | (9) |
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3.3.7 Environment-Related Information That Can Be Analyzed Using Grasshopper |
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22 | (1) |
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3.3.2 Accessing Local Climate Data |
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22 | (2) |
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3.3.3 The Psychrometric Chart |
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24 | (1) |
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3.3.4 Analyzing Solar Conditions |
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24 | (7) |
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3.4 Site Conditions in Relation to Thermal Comfort |
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31 | (5) |
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3.4.1 Mean Radiant Temperature and Outdoor Mean Radiant Temperature |
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32 | (1) |
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32 | (2) |
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34 | (2) |
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3.4.4 Bringing Thermal Comfort Information Together: Universal Thermal Climate Index |
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36 | (1) |
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3.5 Site Conditions in Relation to Contextual Visual Connections |
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36 | (5) |
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36 | (5) |
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3.5.2 Visibility Percent Analysis |
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41 | (1) |
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3.6 Site Conditions in Relation to Slope |
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41 | (6) |
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41 | (3) |
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3.6.2 Basic Even Subdivision of Surfaces |
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44 | (1) |
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3.6.3 Visualizing a Site's Slope Condition |
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45 | (2) |
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3.7 Using Site Analysis Findings to Inform Conceptual Development |
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47 | (1) |
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Chapter 04 Conceptual and Preliminary Development: Formal Explorations and Iterations With Parametric Methods |
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48 | (27) |
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4.1 Parametric Tools in Form Exploration for Conceptual and Preliminary Development |
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48 | (15) |
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4.7.7 Parametrically Creating and Editing Irregular Shapes and Surfaces: NURBS Geometries |
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49 | (7) |
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4.1.2 Parametrically Creating and Editing Irregular SubD Geometries: Meshes |
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56 | (7) |
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4.2 Parametric Tools in Analyzing Contextual Relationships to Support Preliminary Development |
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63 | (12) |
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Chapter 05 Spatial Organization and Visibility Analysis Using Parametric Methods |
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75 | (11) |
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5.1 Visibility Analyses in Design Development |
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75 | (8) |
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5.7.7 Basic Two-Dimensional Visibility Analysis for Interiors |
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75 | (1) |
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5.7.2 Basic Interspatial Visibility Analysis Using Grasshopper's Native "Isovist" Component for Building Interiors |
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76 | (5) |
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5.7.3 Representing Space and Movement in Visibility Analysis: The Minkowski Model |
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81 | (2) |
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5.2 Spatial Organization Analysis in Design Development |
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83 | (3) |
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5.2.1 Basic Definitions in Space Syntax Methods |
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83 | (3) |
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Chapter 06 Skin Systems: Repetition, Subdividing Geometries, and Paneling Approaches |
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86 | (33) |
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87 | (6) |
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6.1.1 Subdividing Complex Surfaces Creating Straight Edges for Simplified Subsurfaces |
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91 | (1) |
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6.1.2 Subdividing Complex Surfaces with Commonly Utilized Plug-ins |
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92 | (1) |
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6.2 Relationships with Daylight: Direct Sun Hours Analysis of Building Components |
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93 | (16) |
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6.2.1 Direct Sun Hours Analysis of Building Components |
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93 | (1) |
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6.2.2 Preliminary Interpretations of the Results of Direct Sun Hours Analysis: Designing Parametric Facade Screen Systems to Balance Direct Sun Hours |
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94 | (15) |
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6.3 Other Repetition and Paneling Approaches to / Subdividing Surfaces |
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109 | (5) |
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6.4 Repetition and Paneling Approaches Subdividing Complex Geometries |
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114 | (1) |
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6.5 Populating Complex Surfaces with Predesigned Units: Repeating Modular Units on Complex Surfaces |
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115 | (1) |
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6.6 Populating Complex Surfaces with Predesigned Units: Repeating Modular Units on Complex Surfaces to Avoid Distortion |
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115 | (3) |
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118 | (1) |
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118 | (1) |
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Chapter 07 Evolutionary Applications: Using Parametric Applications to Generate, Analyze, and Select Design Iterations |
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119 | (28) |
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7.1 Evolutionary Applications: Background |
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119 | (1) |
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120 | (2) |
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7.2.1 Advantages and Disadvantages of Evolutionary Solvers |
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121 | (1) |
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7.3 Single-Objective Optimization |
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122 | (4) |
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7.4 Evolutionary Solvers in Architecture: Single Objective Optimization Examples |
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126 | (5) |
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7.4.1 Identifying the Orientation of Workspaces to Minimize Direct Sun Access and Glare |
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126 | (2) |
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7.4.2 Identifying the Building Orientation That Allows Maximum Access to Desired Views |
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128 | (2) |
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7.4.3 Identifying the Highest Visibility Point for Multiple Storefronts for a Commercial Space |
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130 | (1) |
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7.5 Multi-objective Optimization |
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131 | (4) |
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7.5.1 Defining a Multi-objective Optimization Problem |
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132 | (1) |
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7.5.2 The Optimization Procedure |
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133 | (1) |
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7.5.3 Interpreting Findings |
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133 | (2) |
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7.6 Evolutionary Solvers in Architecture: Multi-objective Optimization Examples |
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135 | (12) |
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7.6.1 Optimizing Building Orientation to Minimize Energy Consumption |
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135 | (5) |
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7.6.2 Optimizing Views and Square Footage to Increase Real Estate Value |
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140 | (7) |
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Chapter 08 Parametric Methods for Introductory Environmental Performance Analyses |
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147 | (19) |
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8.1 Architectural Design and Energy |
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147 | (2) |
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148 | (1) |
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8.1.2 Energy Use Intensity |
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148 | (1) |
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8.1.3 Surface Area to Volume Ratio |
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149 | (1) |
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8.2 Parametric Methods for Analyzing Energy Use Implications |
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149 | (11) |
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8.2.1 EUI: Basic Simulation Using Ladybug, Honeybee, and Honeybee Energy |
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149 | (3) |
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8.2.2 EUI: Multiple Building Use Zone Simulation Using Ladybug, Honeybee, and Honeybee Energy |
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152 | (5) |
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8.2.3 Looking into EUI With a Louver System |
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157 | (1) |
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8.2.4 Surface Area to Volume Ratio (SA/V) as It Relates to EUI |
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158 | (2) |
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8.3 Architectural Design and Daylight |
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160 | (1) |
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8.3.1 Spatial Daylight Autonomy (SDA) |
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161 | (1) |
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8.4 Parametric Methods for Analyzing Lighting and Energy Use Implications |
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161 | (4) |
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8.4.1 Looking into SDA With a Louver System |
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163 | (2) |
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8.5 Measuring Building Environmental Performance Using "Ladybug Tools": Observations |
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165 | (1) |
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Chapter 09 Practical Matters: Parametric Methods and Digital Fabrication for Architectural Model Making |
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166 | (21) |
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9.1 Cutting Operations and Parametric Methods in Architectural Modeling |
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168 | (7) |
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168 | (3) |
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171 | (1) |
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172 | (1) |
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9.1.4 Time-Saving Model Building Strategies Using Parametric Methods with Cutting Operations in Mind |
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172 | (3) |
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9.2 Additive Techniques: Three-Dimensional Printing |
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175 | (5) |
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9.2.1 Fused Deposition Modeling 3D Printing Basics |
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178 | (2) |
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9.2.2 FDM 3D Printing in the Architectural Design Process |
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180 | (1) |
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9.3 Subtractive Techniques |
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180 | (4) |
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9.3.1 Basic CNC Milling Steps |
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182 | (2) |
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9.4 Mixing and Matching Methods and Materials: Digital Fabrication Techniques and Architectural Model Building Materials |
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184 | (2) |
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9.4.1 Representing the Site |
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184 | (1) |
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9.4.2 Representing the Structural System and Slabs |
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184 | (1) |
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9.4.3 Representing Vertical Circulation Elements |
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185 | (1) |
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9.4.4 Representing Fagade Materials |
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185 | (1) |
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185 | (1) |
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9.5 Possible Developments: Parametric Methods, Digital Fabrication, and the Future of Architectural Model Making |
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186 | (1) |
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Chapter 10 Recontextualizing Parametric Methods in Architecture: Routes for Further Development |
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187 | (8) |
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10.1 Contributions of Parametric Methods in the Architectural Design Process |
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187 | (4) |
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10.1.1 Contributions to Development, Analysis, and Manipulation of Complex Geometries |
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188 | (1) |
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10.1.2 Contributions by Bringing in Empirical Approaches and Methods into the Architectural Design Process |
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188 | (1) |
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10.1.3 Decreasing the Number of Third-Party Software and Streamlining the Design Process |
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189 | (1) |
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10.1.4 Time- and Effort-Saving Optimization Techniques in Design Decision-making: Evolutionary Solvers |
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189 | (1) |
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10.1.5 Advances in Digital Fabrication Methods and Tools |
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190 | (1) |
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10.2 Computer-Aided Design, Parametric Design, Digital Fabrication, and Emerging Concerns in Architectural Design |
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191 | (2) |
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193 | (2) |
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10.3.1 Stronger Connections Between Design Disciplines and Basic Science |
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193 | (1) |
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10.3.2 Key Skills Remain Crucial |
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193 | (1) |
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10.3.3 Architects and Designers Mastering Data Management |
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194 | (1) |
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10.3.4 Looking into the Future |
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194 | (1) |
References |
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195 | (3) |
Index |
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198 | |