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

IF 3.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
S. B. Garip, Orkan Zeynel Güzelci, E. Garip, Serkan Kocabay
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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.
一种基于遗传算法的设计模型,为住宅内部提供降低风险的区域
目的本研究旨在提出一种新的基于遗传算法的设计模型(GABDM),以在地震期间在室内空间提供降低风险的区域,即“安全足迹”。这项研究的重点是住宅内部,因为居民日常生活的大部分时间都在这里度过。设计/方法论/方法GABDM使用遗传算法作为方法,使用非支配排序遗传算法II算法和Wallacei X进化优化引擎。给出了模型设置,包括输入、约束、运算和适应度函数,以及算法模型的运行过程。在开发阶段之后,GABDM用作者根据室内地震风险相关文献设计的住宅室内样本进行了测试。执行部分包括两个案例研究。发现GABDM的实施为两个案例研究带来了最佳的“安全足迹”解决方案。然而,结果表明,在案例研究1中实现的适应度函数与在案例研究2中实现的不同。此外,案例研究2通过其拟议的家具系统产生了更成功(排名更高)的“安全足迹”替代方案。独创性/价值本研究提出了一种在室内设计背景下处理地震风险的独创性方法,并开发了一种设计模型(GABDM),该模型使用生成设计方法来降低室内空间的地震风险。通过引入“安全足迹”的概念,GABDM明确地为预防地震风险做出了贡献。GABDM适用于其他涉及占地面积和家具关系的建筑类型。
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来源期刊
Construction Innovation-England
Construction Innovation-England CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
7.10
自引率
12.10%
发文量
71
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