Showing 2 results for Flexibility
Bahareh Bannazadeh, Shahin Heidari, Habib Hadianfard,
Volume 32, Issue 1 (1-2022)
Abstract
Due to the climate change impact, personal thermal comfort (PTC) studies in buildings have been highlighted to reconsider previous results. PTC causes thermal adaptation) physical, physiological, and psychological adaptation (that is the process of acclimatization to different conditions. Thermal comfort is affected by environmental, personal, mental, cognitive, and behavioral criteria. This study was conducted to emphasize the effects of psychological components on PTC in order to improve offices indoor environment quality and reduce energy consumption. In this perspective, cognitive flexibility and resilience have been selected to examine PTC and the ability to accept and choose thermal adaptive strategies based on cognitive characteristics. The research question is: do different cognitive flexibility and resilience level lead to different levels of PTC and conscious/unconscious reaction? To answer this question and calculate comfort temperature, field study was carried out in an office building. The study had two steps: questionnaire and on-site measurements. The questionnaire included an assessment of psychological components, personal components, and thermal responses scales. Environmental components were measured using mobile instruments and the nearest weather station data. A study of 108 participants indicated that cognitive flexibility and resilience had a significant correlation with thermal sensation, thermal comfort, and thermal preferences. So, we can have linear and logistic regression models to predict adaptive behavior, thermal comfort, and thermal preferences based on psychological and personal components. Analysis of comfort temperature using the Griffiths method showed indoor temperature should be 23.7°C for the majority of occupants. We can also be sure that at least two degrees change in indoor temperature is needed to shift occupants’ thermal sensation.
Maziar Asefi, Soheila Aram, Farzin Haghparast,
Volume 32, Issue 4 (9-2022)
Abstract
Temporary accommodation is a necessary measure for various purposes that can be used by the homeless after events such as floods, earthquakes, and wars. Depending on the location of the disaster, temporary shelter users may have different groups of people with different attitudes and social, cultural, and climatic conditions. The incompatibility of the quantitative and qualitative characteristics of temporary housing with the conditions leads to the dissatisfaction of the users and increases the psychological consequences of the disaster for them. Hence, the concept of flexibility in such situations is proposed to solve current problems and increase the responsiveness and desirability of temporary housing. The main question of the article is how to design flexible temporary housing with the help of digital tools. This paper seeks to provide a flexible physical model for improving the quality of temporary accommodation and responding to the different needs of different residents through digital tools. To achieve the goal and solve major problems in the design of temporary housing, digital design techniques can be very useful because the subject of the design has many limitations and expectations.
This is a practical study and a review of the literature and its theoretical foundations have been prepared through library documents and research. According to the studies and components obtained from the literature review, a parametric and modular design approach to achieve a flexible physical model through a user-friendly method is proposed. From both design and evaluation perspectives, the Space Syntax Toolkit is used to obtain diagrams and basic information for designing responsive designs in terms of social and cultural components, and the Galapagos and Grasshopper plugins in the Rhinoceros environment for optimization. The minimum and standard dimensions of the Ladybug and Bee plugin are also used in the Grasshopper environment for climatic evaluation of the proposed physical models in the four cities of Tabriz, Tehran, Yazd, and Bandar Abbas.
The results of this article indicate that the rectangular modules with an area of 6 square meters have the maximum ability to provide different patterns for the temporary housing plan according to the needs and tastes of users. Expandable modules are also an effective solution for the optimal use of the minimum dimensions in the plan, which can meet the climate needs according to the climate data of the four cities.
