МОДЕЛЮВАННЯ ПРОЦЕСІВ АРХІТЕКТУРНОГО ПРОЄКТУВАННЯ ІЗ ЗАСТОСУВАННЯМ ТЕХНОЛОГІЙ ШТУЧНОГО ІНТЕЛЕКТУ

The article is devoted to studying the possibilities of applying artificial intelligence (AI) technologies in architectural design, in the context of transforming classical approaches to creating architectural objects. Based on the author's approach, 13 hypotheses were formulated and structured, covering various levels of AI use in design practice — from fundamental social aspects to specific applied cases directly related to step-by-step architectural development. The material is based on a combination of theoretical analysis of scientific literature and practical observations of case studies from international architectural firms and Ukrainian practices. A comparative testing of the effectiveness of design processes with and without AI was conducted, taking into account the speed of decision-making, variant generation, accuracy, adaptability, and resource optimization. Particular attention is given to generative design methods, parametric modeling, predictive-analytical mechanisms, and digital control over documentation development. The potential of AI integration at every stage of the architectural process — from pre-design analysis to implementation — is examined. As a result, the degree of readiness of modern AI technologies for real integration into architectural workflows has been determined, considering the human factor, the level of automation, and the specifics of architectural practice. The culmination of the research is the development of the AI ABM (Artificial Intelligence Adaptive Building Modeling) system — a comprehensive modeling framework aimed at supporting adaptive, multifunctional architecture. The model is currently at the final stage of verification and is being prepared for implementation within the master's thesis.

Publication Details

Journal
Scientific periodicals of Ukraine
Published
2025-03-28
Primary Topic
Nuclear reactor physics and engineering
Type
article
Field-Weighted Citation Impact
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article

МОДЕЛЮВАННЯ ПРОЦЕСІВ АРХІТЕКТУРНОГО ПРОЄКТУВАННЯ ІЗ ЗАСТОСУВАННЯМ ТЕХНОЛОГІЙ ШТУЧНОГО ІНТЕЛЕКТУ

Scientific periodicals of Ukraine
Nuclear reactor physics and engineering
article

МОДЕЛЮВАННЯ ПРОЦЕСІВ АРХІТЕКТУРНОГО ПРОЄКТУВАННЯ ІЗ ЗАСТОСУВАННЯМ ТЕХНОЛОГІЙ ШТУЧНОГО ІНТЕЛЕКТУ

article en

Abstract

The article is devoted to studying the possibilities of applying artificial intelligence (AI) technologies in architectural design, in the context of transforming classical approaches to creating architectural objects. Based on the author's approach, 13 hypotheses were formulated and structured, covering various levels of AI use in design practice — from fundamental social aspects to specific applied cases directly related to step-by-step architectural development. The material is based on a combination of theoretical analysis of scientific literature and practical observations of case studies from international architectural firms and Ukrainian practices. A comparative testing of the effectiveness of design processes with and without AI was conducted, taking into account the speed of decision-making, variant generation, accuracy, adaptability, and resource optimization. Particular attention is given to generative design methods, parametric modeling, predictive-analytical mechanisms, and digital control over documentation development. The potential of AI integration at every stage of the architectural process — from pre-design analysis to implementation — is examined. As a result, the degree of readiness of modern AI technologies for real integration into architectural workflows has been determined, considering the human factor, the level of automation, and the specifics of architectural practice. The culmination of the research is the development of the AI ABM (Artificial Intelligence Adaptive Building Modeling) system — a comprehensive modeling framework aimed at supporting adaptive, multifunctional architecture. The model is currently at the final stage of verification and is being prepared for implementation within the master's thesis.

Scientific periodicals of Ukraine
Openalex Percentile: Top 36%
Nuclear reactor physics and engineering
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