A versatile optimization framework for sustainable post-disaster building reconstruction

Niloufar Izadinia; Elham Ramyar; Maytham Alzayer; Stephen H. Carr; Gianluca Cusatis; Vidushi Dwivedi; Daniel J. Garcia; Missaka Hettiarachchi; Thomas Massion; William M. Miller; Andreas Wächter

doi:10.1007/s11081-022-09766-9

A versatile optimization framework for sustainable post-disaster building reconstruction

Niloufar Izadinia, Elham Ramyar, Maytham Alzayer, Stephen H. Carr, Gianluca Cusatis, Vidushi Dwivedi, Daniel J. Garcia, Missaka Hettiarachchi, Thomas Massion, William M. Miller, Andreas Wächter^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	2079-2114
Number of pages	36
Journal	Optimization and Engineering
Volume	24
Issue number	3
DOIs	https://doi.org/10.1007/s11081-022-09766-9
State	Published - Sep 2023

Funding

Vidushi Dwivedi was supported in part by the Resnick Family Social Impact Program of Northwestern’s Institute for Sustainability and Energy (ISEN) and the World Wildlife Fund (WWF). Daniel J. Garcia was supported by a Northwestern University Presidential Fellowship. Additional support was provided by Leslie and Mac McQuown. We thank Mike McMahon for help with coordination and comments on the paper and Jennifer B. Dunn for discussions providing a life cycle analysis perspective. We also thank Ah Kim, Can Divitoglu, and Giovanna Varalta, who created an initial version of the AMPL model as part of their project in the Northwestern course IEMS 394 IE Client Project Challenge.

Keywords

Building model
Earthquake resistant building
Mixed-integer nonlinear optimization
Multi-objective optimization
Post-disaster reconstruction
Sustainability

ASJC Scopus subject areas

Software
Civil and Structural Engineering
Aerospace Engineering
Mechanical Engineering
Control and Optimization
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s11081-022-09766-9

Cite this

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abstract = "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.",

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AU - Dwivedi, Vidushi

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AU - Hettiarachchi, Missaka

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AU - Miller, William M.

AU - Wächter, Andreas

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A versatile optimization framework for sustainable post-disaster building reconstruction

Abstract

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Keywords

ASJC Scopus subject areas

UN SDGs

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