Algorithmic Architecture and Its Implementation Challenges in Traditional Construction Workshops of Iran

Authors

https://doi.org/10.48314/adb.v2i2.34

Abstract

Algorithmic architecture has emerged as an innovative approach in contemporary design, utilizing algorithms and parametric computation to generate complex forms and optimize construction processes. However, the implementation of this method within Iran's traditional construction workshops faces significant challenges due to fundamental differences in building techniques, a lack of skilled labor, and resistance to technological innovation. This study aims to investigate the practical obstacles to applying algorithmic architecture in Iran's traditional construction context and to explore viable solutions that can bridge the gap between digital design and conventional building practices. The research seeks to identify the main barriers and assess how these can be addressed to support the integration of algorithmic methods into existing workflows. The methodology combines qualitative analysis and field-based inquiry. A theoretical foundation is established through a literature review of algorithmic design and international case studies. This is followed by semi-structured interviews with architects, engineers, and contractors working in traditional construction environments. Furthermore, case studies of semi-algorithmic projects in Iran are analyzed to gain insight into real-world challenges and adaptive strategies. Findings reveal that key barriers include technical constraints, inadequate training, high implementation costs, and cultural resistance. Nevertheless, practical solutions such as specialized training programs, the development of execution standards, and the use of hybrid (traditional–algorithmic) approaches can significantly reduce these obstacles. This research contributes a localized framework for adapting algorithmic architecture to Iran's traditional construction sector. By aligning digital design tools with on-the-ground realities, the study offers actionable strategies to support the digital transformation of the country's building industry.

Keywords:

Algorithmic architecture, Traditional Iranian workshops, Implementation challenges, Digital construction, Hybrid methods

References

  1. [1] Terzidis, K. (2023). Generative design in architecture: An iterative, parametric, and adaptive process enabling complex, environmentally responsive, and optimized forms. https://en.wikipedia.org/wiki/Generative_design

  2. [2] Vuoto, A., Funari, M. F., & Lourenço, P. B. (2024). Shaping digital twin concept for built cultural heritage conservation: A systematic literature review. International journal of architectural heritage, 18(11), 1762–1795. https://doi.org/10.1080/15583058.2023.2258084

  3. [3] Gorabi, A. S. T. (2023). “Parametric architecture: When algorithms take the paintbrush.” (In Persian). https://civilica.com/note/9471/

  4. [4] Han, Y., Zhang, K., Xu, Y., Wang, H., & Chai, T. (2023). Application of parametric design in the optimization of traditional landscape architecture. Processes, 11(2), 639. https://doi.org/10.3390/pr11020639

  5. [5] Cugen, H. F., Arslan Selçuk, S., & Arayici, Y. (2024). A hybrid modelling approach for information processing workflow in inter-cultural heritage projects. Archnet-IJAR: International journal of architectural research. https://doi.org/10.1108/ARCH-12-2023-0355

  6. [6] UN-Habitat. (2023). Emerging tools gaining prominence include Dynamo for computational modeling, AI-based design generators, and Neural networks for energy optimization. https://B2n.ir/pp7336

  7. [7] Zeinali Azim, A., Mirzamohammadi, A., & Taghipour Qasabi, B. (2019). Designing urban spaces with an emphasis on urban landscape architecture. The second conference on civil engineering, architecture and urban planning in the Islamic world. Civilica. (In Persian). https://civilica.com/doc/1021216

  8. [8] Mokhtari, F., & Dejpasand, S. (2024). Challenges and opportunities of parametric facade in iran inspired by traditional iranian architecture. International conference on architecture, urbanism, art, industrial design, construction and technology of wisdom. Civilica. (In Persian). https://civilica.com/doc/2234140

  9. [9] Cugno, M., Castagnoli, R., & Büchi, G. (2021). Openness to Industry 4.0 and performance: The impact of barriers and incentives. Technological forecasting and social change, 168, 120756. https://doi.org/10.1016/j.techfore.2021.120756

  10. [10] Moghtadinejad, M., Pashaei, S. (2016). Investigating the impact of parametric architecture design process based on algorithmic design, a new approach in the digital architecture design in line with sustainable architecture goals. International conference on modern research in civil engineering architectural & urban development (pp. 1–19). (In Persian). https://www.sid.ir/paper/828265/fa

  11. [11] Yusof, M. J. M., & Zhang, J. (2022). Advances in civil engineering: Structural seismic resistance, monitoring and detection: Proceedings of the international conference on structural seismic resistance, monitoring and detection (SSRMD 2022), Harbin, China, 21-23 January 2022. CRC Press. https://B2n.ir/ee9652

  12. [12] Cheema, S. M. (2023). Relationship among safety, quality and productivity in construction projects. Journal of development and social sciences, 4(1), 183–193. https://ojs.jdss.org.pk/journal/article/download/403/537

  13. [13] Sardari, M., Zare, L., Talaei, A., & Ghobadian, V. (2022). Redefining architectural styles during the Iranian War of Independence with the approach of identifying traditional works (Case study: The structure of landmark buildings). Journal of researches in islamic architecture, 11(4), 138–159. (In Persian). https://jria.iust.ac.ir/article-1-1605-fa.pdf

  14. [14] Golestanizadeh, M., Sarvari, H., Parishani, A., Akindele, N., & Edwards, D. J. (2025). Probing the effect of business intelligence on the performance of construction projects through the mediating variable of project quality management. Buildings, 15(4), 621. (In Persian). https://doi.org/10.3390/buildings15040621

  15. [15] Faraji, F. (2025). AI-powered structural health monitoring for seismic resilience in urban bridges: A case study of Tehran’s critical infrastructure. 2nd conference on civil engineering, architecture, urban planning, and environmental scienceat: Eindhoven – Netherlands. (pp. 1–13). Capelconf. (In Persian). https://B2n.ir/xx7275

  16. [16] Zadeh, A. K., & Mustafa, E. Y. (2022). Analytical-statistical study of occupational accidents in construction sites in the 1990s. Science and engineering elites, 7(5), 54–62. (In Persian). https://www.sid.ir/paper/1084410/fa

  17. [17] Gao, Z., Liang, R. Y., & Patnaik, A. K. (2017). Probabilistic lifetime performance and structural capacity analysis of continuous reinforced concrete slab bridges. International journal of advanced structural engineering, 9, 231–245. https://doi.org/10.1007/s40091-017-0160-2

  18. [18] Hossein, T., & Fargol, M. R. (2020). Analyzing material workshop developing role in qualified architectural education. Honarhaye ziba- honarhaye memari va shahrsazi, 25(1), 79–90. (In Persian). https://sid.ir/paper/985449/en

  19. [19] Afshar, A., Kaveh, A., & Khalilian, S. (2008). Dynamic layout optimization of construction sites. International journal of engineering sciences, 19(10A), 183–196. (In Persian). https://www.sid.ir/paper/483369/fa

  20. [20] Rad, M. N., & Maghrebi, M. (2022). Development of a hybrid method of social force modeling and discrete event simulation to optimize productivity of construction. Sharif journal of civil engineering, 38(2–4), 3–14. (In Persian). https://sid.ir/paper/1155845/fa

  21. [21] Tadghiri, A., & Ghanbarzadeh Qomi, S. (2015). Advantages of prefabrication compared to conventional construction. Armanshahr architecture and urbanism, 15, 15–25. (In Persian). https://www.sid.ir/paper/504549/fa

  22. [22] Parhizgar Sharif, A., Lork, A.R., & TELVARI, A. (2021). A multi-objective optimization model for solving construction site layout planning problem considering safety and risk criteria. Sharif: Civil enineering, 37(2), 145–155. (In Persian). https://sid.ir/paper/961792/en

  23. [23] Mohammadhosein, H., & Ali, G. (2019). Modeling delays in construction projects based on neural network to determine the share of factors affecting delay in construction projects in Tehran to one method. Civil and project journal, 1(1), 73–90. (In Persian). https://sid.ir/paper/268505/en

  24. [24] Najafi Zanganeh, S., Shams Qarneh, N., Azizi, P., & Eshraqniaye Jahromi, A. (2019). Optimizing the quality of construction projects through the reliability theory of systems using the improved minimum-maximum ant colony algorithm. Structural engineering and construction, 1(1). (In Persian). https://www.sid.ir/paper/527633/fa

  25. [25] Alikhanzadeh, V., Kazemi, M., & Legzian, M. (2014). Optimizing the balance of cost, time, and quality in construction projects with an approach to examining the impact of material and labor selection. International conference on industrial management and engineering. Civilica. (In Persian). https://civilica.com/doc/415762/

Published

2025-02-25

How to Cite

Lachini, A. ., & Masumi, H. . (2025). Algorithmic Architecture and Its Implementation Challenges in Traditional Construction Workshops of Iran. Architectural Dimensions and Beyond, 2(2), 145–155. https://doi.org/10.48314/adb.v2i2.34

Similar Articles

11-19 of 19

You may also start an advanced similarity search for this article.