چكيده به لاتين
Design culture has changed dramatically in the last decade. The interest of the design community in collaborative and interdisciplinary approaches to deal with design issues has increased. Also, through the flexibility introduced in digital design methods, there is a closer connection between "concept and product" and "realization in the design process". The main focus of this research is on optimization the layout and spatial structure of the Emergency Department by reducing the traffic routes inside the department. Therefore, by reviewing the literature related to this topic and previous studies, all the findings have been categorized in a theoretical framework consisting of definitions, application methods, and computational techniques. At the end of the literature review, the chosen approach for this is the Generative Design approach. Generative design is one of the important research fields in the field of architecture, engineering and construction and has a significant potential to reduce time, cost, and human resources involved in a project. Generative design systems are accepted computational approaches to achieve design automation. Advances in technology are changing the way future products are designed. Over the past decade, rapid advancements in areas such as artificial intelligence algorithms, unlimited cloud computing power, and generative manufacturing tools have made it possible to create thousands of design options in much less time than traditional design methods. The outputs of this type of design are also much lighter, stronger and overall more efficient. The problem facing the project is defined as "how to arrange the spaces of the Emergency Department in such a way that the adjacencies and accesses considered by the design are provided in the shortest possible way". In the generative design approach, by using the power of computing and machine processing, a large number of different options for space layout planning are generated in a short period of time. After the generation of layout options, in order to evaluate the options generated by the machine, the method of evaluation and calculations of graph theory has been used to process the information of the routes in each of the scenarios. In this way, the final output of each scenario is considered as the input of the design optimization code, and this code draws the corresponding graph. After that, spaces with the highest access requirements have been identified and given as input to the code. Considering these inputs, the design code simulates the amount of traffic in each of the routes and finally displays these routes in three groups, quiet, medium and crowded, based on traffic congestion. At the end, it calculates the length of each route group in each scenario and determines the best scenario.
