Thesis supervisor: Kristóf Kapitány
Location of studies (in Hungarian): Department of Photogrammetry and Geoinformatics Abbreviation of location of studies: EOFT
Description of the research topic:
Introduction:
The construction industry is undergoing significant transformation in the age of digitalization. Algorithmic design, machine learning, artificial intelligence, and other technologies offer opportunities for the construction industry to increase efficiency and optimize resource utilization. However, the application of digital technologies in the construction industry also comes with numerous challenges that need to be addressed in order for the construction industry to be a winner in the digital transformation.
The research aims to investigate the efficiency-enhancing effects of algorithmic design and digital technologies in the construction industry.
Research focus:
• Overview of algorithmic design approaches and methods,
• Analysis of the efficiency-enhancing effects of algorithmic design processes,
• Comparison of algorithmic design processes and digital technologies with traditional design processes
in the construction industry.
During the research, we investigate algorithmic design approaches and methods such as automated engineering design, automated processing of laser-scanned point clouds, and digital modeling. Efficiency improvement, optimal resource utilization, and cost-effectiveness are emphasized in the research. The results can be useful for the construction industry in terms of reducing design time, cost reduction, and improving quality. The research findings can contribute to leveraging the benefits of digital transformation in the construction industry and help industry stakeholders understand and apply digital technologies to increase efficiency and effectiveness.
Expected outcomes:
The results of the research can contribute to making the construction industry more efficient by developing the application of algorithmic design and digital technologies. The findings can be useful for professionals, educational institutions, and researchers working in the construction industry.
Research plan:
1. Investigate algorithmic design approaches and methods in the construction industry based on a literature review.
2. Identify the efficiency-enhancing effects of algorithmic design processes, such as reduced design time, cost reduction, and quality improvement, compared to traditional design processes.
3. Develop one or more effective algorithms to automate and optimize construction design processes.
4. Test the efficiency of the new algorithms and compare them to traditional design processes in terms of efficiency-enhancing effects.
5. Evaluate the research results and suggest further opportunities for applying digital technologies in the construction industry.
The research topic offers an opportunity for PhD students in civil engineering and earth sciences to:
• deepen their knowledge of the application of algorithmic design in the construction industry.
• collaborate with other faculties of BME, other departments of the Faculty of Civil Engineering, and industrial partners of the Department of Photogrammetry and Geoinformatics.
The results of the research could facilitate more efficient construction processes and better-quality constructions, which could contribute to the success of the digital transformation in the construction industry.
Deadline for application: 2024-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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