Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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 (Autor:in) / Ramyar, Elham (Autor:in) / Alzayer, Maytham (Autor:in) / Carr, Stephen H. (Autor:in) / Cusatis, Gianluca (Autor:in) / Dwivedi, Vidushi (Autor:in) / Garcia, Daniel J. (Autor:in) / Hettiarachchi, Missaka (Autor:in) / Massion, Thomas (Autor:in) / Miller, William M. (Autor:in)
Optimization and Engineering ; 24 ; 2079-2114
01.09.2023
36 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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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