Download presentation
Presentation is loading. Please wait.
Published byStuart Hopkins Modified over 9 years ago
1
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Improving Multidisciplinary Optimizaton Methods in AEC 1 Principal Investigators John Haymaker, Assistant Professor of CEE Ilan Kroo, Professor of Aero / Astro Research Staff Forest Flager, Ph.D. candidate of CEE Ben Welle, Ph.D. candidate of CEE
2
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Overview (1) Industry Drivers / Limitations (2) Applying MDO Methods to AEC (3) Research Plan / Team (4) Value Proposition 2
3
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 INDUSTRY DRIVERS / LIMITATIONS 3
4
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Industry Drivers 4 sustainabilityscheduleglobalizationcost 25% reduction in life-cycle costs significantly reduce time to market deliver majority of services from global markets deliver within 2% of estimated cost balance capital cost with operating costs / environmental impact improve productivity support distributed teams leverage construction knowledge
5
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 We Have the Technology Virtual Design and Construction (VDC) tools: used earlier in the design process increasing number of disciplines supported 5 StructureEnergyFacadeLighting CFDAcousticsCostSchedule
6
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 How is Current Practice Doing? Survey results [1]: 6 Iteration Duration Iterations per Project InitialSubsequent 7 wks5 wks2.8 Design iteration metrics New design methods and computational frameworks are required to fully benefit from progress in IT
7
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 APPLYING MDO METHODS TO AEC Boeing’s Rapid Conceptual Design (RCD) Process [1] 7
8
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Related Research 8 Design Process Management MDOOptimization in AEC Design Structure Matrix (Steward, Smith, et al.) Narratives (Haymaker, Suter) Collaborative Opt. (Braun and Kroo) Concurrent Subspace Opt. (Sobieszszanski-Sobieski) Trial and error Evolutionary Algorithms (Kicinger, Parmee, et al.) Simulated Annealing (Shea)
9
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Research Goals Develop and apply MDO methods that meet the particular needs of the AEC industry to: Compress design cycle time Explore more alternatives Achieve substantive product quality and performance gains Reduce time to market 9
10
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Research Goals Develop and apply MDO methods that meet the particular needs of the AEC industry to: Understand coupling between analyses Function with AEC organizations Visualize tradeoffs Improve interoperability 10
11
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 RESEARCH PLAN / TEAM 11
12
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Design problems addressed: Disciplines Involved: TopologyShape Component Sizing Research Scope 12 Structure Energy Cost Daylighting Thermal Comfort
13
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Design Problems AddressedDisciplines Involved Topology Structure Energy Cost Daylighting Thermal Comfort Shape Member Sizing Research Scope 13
14
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Design Problems AddressedDisciplines Involved Topology Structure Energy Cost Daylighting Thermal Comfort Shape Member Sizing Research Scope 14
15
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Design Problems AddressedDisciplines Involved Topology Structure Energy Cost Daylighting Thermal Comfort Shape Member Sizing Research Scope 15
16
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Design Problems AddressedDisciplines Involved Topology Structure Energy Cost Daylighting Thermal Comfort Shape Member Sizing Research Scope 16
17
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Research Phases (1) Proof of Concept – Classroom MDO (2) Scaling MDO for Industry Application (3) Develop General MDA Tools (4) Industry Application of New MDO Methods 17
18
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Proof of Concept – Classroom MDO (Phase 1) Research TasksParties Involved 1. Compare commercial PIDO platforms Staff PIDO vendors 2.Evaluate PIDO on Classroom case study [2] Staff Phoenix Integration Gehry Technologies 18 supported by 2008 proposal =
19
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Research Schedule (Phase 1) CAPABILITIES Component Properties GeometryTopology IFC import / export ANALYSES Structure (GSA) Energy (EnergyPlus) Cost (various) Daylighting (Radiance) Thermal (Fluent) 19 Industry Application = = R+D
20
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Results (Phase 1) 20 Automation Integration Trades
21
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Scaling MDO for Industry Application (Phase 2) Research TasksParties Involved 1.Apply to industry project [3] Arup Phoenix Integration 2. Automate structural member sizing process Arup Phoenix Integration 3. Develop member sizing optimization algorithm Arup Phoenix Integration 21 supported by 2008 proposal =
22
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Research Schedule (Phase 2) CAPABILITIES Component Properties GeometryTopology IFC import / export ANALYSES Structure (GSA) Energy (EnergyPlus) Cost (various) Daylighting (Radiance) Thermal (Fluent) 22 Industry Application = = R+D
23
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Results (Phase 2) 23 Design Method Design Iteration Time Duration Total Completed Conventional4 hours39 MDO6 min8042 $10 Million (Est. Savings)
24
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Develop General MDA Tools (Phase 3) Research TasksParties Involved 1.Develop topology trade study capability (structure, energy cost) Research Assistant Phoenix Integration 2. Develop IFC parser Research Assistant AEC3 3. Develop general analysis capability (daylighting, thermal comfort) Sustainable Innovations FPCE, ME Dept, Stanford 24 to be supported by this proposal =
25
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Research Schedule (Phase 3) CAPABILITIES Component Properties GeometryTopology IFC import / export ANALYSES Structure (GSA) Energy (EnergyPlus) Cost (various) Daylighting (Radiance) Thermal (Fluent) 25 Industry Application = = R+D
26
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Expected Results (Phase 3) 26
27
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Industry Application of MDO (Phase 4) 27 to be supported by this proposal = Research TasksParties Involved 1. Apply MDO to Industry Projects CIFE MEMBERS: Arup Gehry Technologies ? 2. Document Case Studies Project stakeholders
28
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Research Schedule (Phase 4) CAPABILITIES Component Properties GeometryTopology IFC import / export ANALYSES Structure (GSA) Energy (EnergyPlus) Cost (various) Daylighting (Radiance) Thermal (Fluent) 28 Industry Application = = R+D
29
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Expected Results (Phase 4) Develop and apply MDO methods that meet the particular needs of the AEC industry to: Compress design cycle time Explore more alternatives Achieve substantive product quality and performance gains Reduce time to market 29
30
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Research Team 30
31
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 VALUE PROPOSITION 31
32
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 How Your Investment Has Been Leveraged 32 Project Budget Proposal Budget
33
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Impact of Research on CIFE 2015 Goals 33 $10 Million sustainabilityscheduleglobalizationcost 25% reduction in life-cycle costs significantly reduce time to market deliver majority of services from global markets deliver within 2% of estimated cost Design Method Iteration Time Current4 hours MDO6 min
34
Copyright 2009 Improving MDO in AEC CIFE TAC 2009 Research Deliverables to CIFE Members Publications Participate in case study projects Training sessions Process assessment Access to software 34
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.