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 (r...

Full description

Saved in:
Bibliographic Details
Published in:Optimization and engineering 2023-09, Vol.24 (3), p.2079-2114
Main Authors: Izadinia, Niloufar, Ramyar, Elham, Alzayer, Maytham, Carr, Stephen H., Cusatis, Gianluca, Dwivedi, Vidushi, Garcia, Daniel J., Hettiarachchi, Missaka, Massion, Thomas, Miller, William M., Wächter, Andreas
Format: Article
Language:English
Subjects:
Building codes
Building design
Building materials
Constraint modelling
Construction materials
Control
Decision making
Disasters
Engineering
Environmental impact
Environmental Management
Financial Engineering
Materials selection
Mathematics
Mathematics and Statistics
Mixed integer
Multiple objective analysis
Operations Research/Decision Theory
Optimization
Optimization models
Pareto optimization
Reconstruction
Research Article
Safety
Systems Theory
Tradeoffs
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1389-4420
1573-2924
DOI:10.1007/s11081-022-09766-9