A genetic algorithm-based design model to provide reduced risk areas for housing interiors

Seniye Banu Garip, Orkan Zeynel Güzelci*, Ervin Garip, Serkan Kocabay

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: This study aims to present a novel Genetic Algorithm-Based Design Model (GABDM) to provide reduced-risk areas, namely, a “safe footprint,” in interior spaces during earthquakes. This study focuses on housing interiors as the space where inhabitants spend most of their daily lives. Design/methodology/approach: The GABDM uses the genetic algorithm as a method, the Nondominated Sorting Genetic Algorithm II algorithm, and the Wallacei X evolutionary optimization engine. The model setup, including inputs, constraints, operations and fitness functions, is presented, as is the algorithmic model’s running procedure. Following the development phase, GABDM is tested with a sample housing interior designed by the authors based on the literature related to earthquake risk in interiors. The implementation section is organized to include two case studies. Findings: The implementation of GABDM resulted in optimal “safe footprint” solutions for both case studies. However, the results show that the fitness functions achieved in Case Study 1 differed from those achieved in Case Study 2. Furthermore, Case Study 2 has generated more successful (higher ranking) “safe footprint” alternatives with its proposed furniture system. Originality/value: This study presents an original approach to dealing with earthquake risks in the context of interior design, as well as the development of a design model (GABDM) that uses a generative design method to reduce earthquake risks in interior spaces. By introducing the concept of a “safe footprint,” GABDM contributes explicitly to the prevention of earthquake risk. GABDM is adaptable to other architectural typologies that involve footprint and furniture relationships.

Original languageEnglish
Pages (from-to)49-66
Number of pages18
JournalConstruction Innovation
Volume24
Issue number1
DOIs
Publication statusPublished - 9 Jan 2024

Bibliographical note

Publisher Copyright:
© 2023, Emerald Publishing Limited.

Funding

This study is a part of the research project titled “Determining Design Criteria for Reducing Earthquake Risks in Housing Interiors and Developing a Design Model Defining Reduced Risk Areas” funded by TUBITAK (The Scientific and Technological Research Council of Turkey) under project number 221M188.

FundersFunder number
Determining Design Criteria for Reducing Earthquake Risks in Housing Interiors and Developing a Design Model Defining
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu221M188

    Keywords

    • Earthquake
    • Genetic algorithms
    • Housing interiors
    • NSGA II
    • Natural disaster
    • Nonstructural earthquake damage

    Fingerprint

    Dive into the research topics of 'A genetic algorithm-based design model to provide reduced risk areas for housing interiors'. Together they form a unique fingerprint.

    Cite this