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Multidisciplinary design optimization in Architecture, Engineering, and Construction: a detailed review and call for collaboration
by
Brown, Nathan
, Muthumanickam, Naveen Kumar
, Duarte, Jose Pinto
, Simpson, Timothy W.
in
Accuracy
/ Aerospace engineering
/ Architecture
/ Building design
/ Computational Mathematics and Numerical Analysis
/ Construction
/ Construction engineering
/ Design optimization
/ ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
/ Engineering
/ Engineering Design
/ Engineering research
/ Environment models
/ model and simulation-based engineering
/ multi-fidelity modeling
/ multi-objective optimization
/ Multidisciplinary design optimization
/ Multiple objective analysis
/ problem structuring methods
/ Review Paper
/ Simulation
/ Systems engineering
/ Theoretical and Applied Mechanics
/ tradespace exploration
2023
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Multidisciplinary design optimization in Architecture, Engineering, and Construction: a detailed review and call for collaboration
by
Brown, Nathan
, Muthumanickam, Naveen Kumar
, Duarte, Jose Pinto
, Simpson, Timothy W.
in
Accuracy
/ Aerospace engineering
/ Architecture
/ Building design
/ Computational Mathematics and Numerical Analysis
/ Construction
/ Construction engineering
/ Design optimization
/ ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
/ Engineering
/ Engineering Design
/ Engineering research
/ Environment models
/ model and simulation-based engineering
/ multi-fidelity modeling
/ multi-objective optimization
/ Multidisciplinary design optimization
/ Multiple objective analysis
/ problem structuring methods
/ Review Paper
/ Simulation
/ Systems engineering
/ Theoretical and Applied Mechanics
/ tradespace exploration
2023
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Do you wish to request the book?
Multidisciplinary design optimization in Architecture, Engineering, and Construction: a detailed review and call for collaboration
by
Brown, Nathan
, Muthumanickam, Naveen Kumar
, Duarte, Jose Pinto
, Simpson, Timothy W.
in
Accuracy
/ Aerospace engineering
/ Architecture
/ Building design
/ Computational Mathematics and Numerical Analysis
/ Construction
/ Construction engineering
/ Design optimization
/ ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
/ Engineering
/ Engineering Design
/ Engineering research
/ Environment models
/ model and simulation-based engineering
/ multi-fidelity modeling
/ multi-objective optimization
/ Multidisciplinary design optimization
/ Multiple objective analysis
/ problem structuring methods
/ Review Paper
/ Simulation
/ Systems engineering
/ Theoretical and Applied Mechanics
/ tradespace exploration
2023
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Multidisciplinary design optimization in Architecture, Engineering, and Construction: a detailed review and call for collaboration
Journal Article
Multidisciplinary design optimization in Architecture, Engineering, and Construction: a detailed review and call for collaboration
2023
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Overview
The design of buildings has become a complex and multidisciplinary problem involving multiple conflicting objectives as architects and designers address competing technical, economic, environmental, and societal concerns. This has been driving research in Architecture, Engineering, and Construction (AEC) toward rigorous multidisciplinary decision-making frameworks that generate and evaluate numerous design alternatives using multi-objective optimization in concert with simulation and analysis models of varying fidelity and computational expense. While such frameworks are well known and widely employed in the aerospace and systems engineering domains, efforts by design professionals and researchers in the AEC field are scattered at best. In this paper, we provide a detailed review of recent developments in optimization frameworks in the AEC field and subsequently highlight how such developments are largely compartmentalized into separate domains such as structural, energy, daylighting, and other performance factors. We further discuss the technical challenges involved in concurrent coupled multidisciplinary design optimization (MDO) in the AEC field such as interoperability issues between Building Information Modeling (BIM) environments, analysis/simulation tools, and optimization frameworks. We conclude by outlining research needed for more unified modeling and simulation-based optimization frameworks to aid in complex and multidisciplinary building design processes. We also highlight the need for the identification and development of multi-fidelity simulation tools for use across multiple design phases. As such, this paper contributes a novel roadmap to leverage aerospace and systems engineering research in MDO into the field of AEC, along with a call for researchers in the MDO community to seek collaborations in AEC field.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V,Springer
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