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Social distancing enhanced automated optimal design of physical spaces in the wake of the COVID-19 pandemic

Abstract: As the COVID-19 pandemic unfolds, manually enhanced ad-hoc solutions have helped the physical space designers and decision makers to cope with the dynamic nature of space planning. Due to the unpredictable nature by which the pandemic is unfolding, the standard operating procedures also change, and the protocols for physical interaction require continuous reconsideration. Consequently, the development of an appropriate technological solution to address the current challenge of reconfiguring common physical environments with prescribed physical distancing measures is much needed. To do this, we propose a design optimization methodology which takes the dimensions, as well as the constraints and other necessary requirements of a given physical space to yield optimal redesign solutions on the go. The methodology we propose here utilizes the solution to the well-known mathematical circle packing problem, which we define as a constrained mathematical optimization problem. The resulting optimization problem is solved subject to a given set of parameters and constraints ? corresponding to the requirements on the social distancing criteria between people and the imposed constraints on the physical spaces such as the position of doors, windows, walkways and the variables related to the indoor airflow pattern. Thus, given the dimensions of a physical space and other essential requirements, the solution resulting from the automated optimization algorithm can suggest an optimal set of redesign solutions from which a user can pick the most feasible option. We demonstrate our automated optimal design methodology by way of a number of practical examples, and we discuss how this framework can be further taken forward as a design platform that can be implemented practically.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Fuente: Sustainable Cities and Society 2021, 68, 102791

Editorial: Elsevier

 Fecha de publicación: 01/05/2021

Nº de páginas: 14

Tipo de publicación: Artículo de Revista

 DOI: 10.1016/j.scs.2021.102791

ISSN: 2210-6707,2210-6715

Proyecto español: TIN2017-89275-Rof

Url de la publicación: https://doi.org/10.1016/j.scs.2021.102791

Autores/as

UGAIL, HASSAN

AGGARWAL, RIYA

HOWARD, NEWTON

CAMPUZANO, ALMUDENA

MAQSOOD, MUAZZAM

AADIL, FARHAN

MEHMOOD, IRFAN

GLEGHORN, SARAH

TAIF, KHASROUF

KADRY, SEIFEDINE

MUHAMMAD, KHAN