Dynamo Visual Programming-Based Generative Design Optimization Model for Construction Site Layout Planning. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 30, Volume 46, Issue 4, December 2021, Page 31-42 PDF (1.04 MB) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2022.213112 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mona Salah Mohammed Fathy  1; Emad Elsaid Elbeltagi 2; Asser Elsheikh3
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| 1Teaching Assistant at the Civil Department, Faculty of Engineering at Horus University, Damietta, Egypt (e-mail: mabbas@horus.edu.eg) | ||||
| 2Professor of Construction Management, Mansoura University, Egypt | ||||
| 3Structural Engineering Department, Mansoura University, Egypt. Department of Civil Engineering, Рeoples’ Friendship University of Russia (RUDN University), Russia | ||||
| Abstract | ||||
| Site layout is the front-end planning for construction sites, aiming for a safe and productive work environment. The layout planning is a complex optimization problem which involves identifying, sizing, and positioning temporary facilities within the construction site boundaries. The main concern in layout planning is the optimization process, in which designer searches among multiple solutions of locating site facilities and choose the best one. The layout optimization problem has been solved using Mathematical and Heuristic methods. This paper studies the applicability of using Visual Programming, Generative Design as the optimization technique, to search for the optimum site layout. As well as, the paper presents an initial development in site layout planning to serve as a foundation that could be enhanced through more future detailed research. In general, the study describes how to model the site and facilities by forming a simulation model applies the parametric visual programming concept through Dynamo-Revit software. Also, it describes the modeling of different geometric and safety constraints between temporary facilities. Then, discussing how the optimization process takes place through the generative design engine. To validate this new optimization technique and the performance of the developed model, a case study from literature is presented and the results are compared | ||||
| Keywords | ||||
| Site Layout; Construction Sites; Temporary Facilities; Site Logistics Optimization; Generative Designs | ||||
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