A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A versatile optimization framework for sustainable post-disaster building reconstruction
This paper proposes an optimization framework for sustainable post-disaster building reconstruction. Based on mathematical optimization, it is intended to provide decision makers with a versatile tool to optimize building designs and to explore the trade-off between costs and environmental impact (represented by embodied energy) of alternative building materials. The mixed-integer nonlinear optimization model includes an analytical building model that considers structural and safety constraints and incorporates regional building codes. Using multi-objective optimization concepts, Pareto-optimal designs are computed that represent the best trade-off designs from which a decision maker can choose when they take additional criteria into consideration. As a case study, we consider the design of a multi-room one-story masonry building in Nepal. We demonstrate how the framework can be employed to address a variety of questions, such as the optimal building design and material selection, the sensitivity of the decision to material prices, and the impact of regional safety regulation thresholds.
A versatile optimization framework for sustainable post-disaster building reconstruction
This paper proposes an optimization framework for sustainable post-disaster building reconstruction. Based on mathematical optimization, it is intended to provide decision makers with a versatile tool to optimize building designs and to explore the trade-off between costs and environmental impact (represented by embodied energy) of alternative building materials. The mixed-integer nonlinear optimization model includes an analytical building model that considers structural and safety constraints and incorporates regional building codes. Using multi-objective optimization concepts, Pareto-optimal designs are computed that represent the best trade-off designs from which a decision maker can choose when they take additional criteria into consideration. As a case study, we consider the design of a multi-room one-story masonry building in Nepal. We demonstrate how the framework can be employed to address a variety of questions, such as the optimal building design and material selection, the sensitivity of the decision to material prices, and the impact of regional safety regulation thresholds.
A versatile optimization framework for sustainable post-disaster building reconstruction
Optim Eng
Izadinia, Niloufar (author) / Ramyar, Elham (author) / Alzayer, Maytham (author) / Carr, Stephen H. (author) / Cusatis, Gianluca (author) / Dwivedi, Vidushi (author) / Garcia, Daniel J. (author) / Hettiarachchi, Missaka (author) / Massion, Thomas (author) / Miller, William M. (author)
Optimization and Engineering ; 24 ; 2079-2114
2023-09-01
36 pages
Article (Journal)
Electronic Resource
English
Mixed-integer nonlinear optimization , Multi-objective optimization , Building model , Post-disaster reconstruction , Sustainability , Earthquake resistant building Mathematics , Optimization , Engineering, general , Systems Theory, Control , Environmental Management , Operations Research/Decision Theory , Financial Engineering , Mathematics and Statistics
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