Earticle

초록

영어

The architectural industry is currently undergoing a paradigm shift in the planning phase, driven by the rapid advancement of Artificial Intelligence (AI) technology. Traditional schematic design processes have faced limitations due to the fragmented nature of legal compliance reviews, feasibility analyses, and the generation of design alternatives, which lead to significant expenditures of time and cost in decision-making. This study proposes an integrated workflow that synergizes numerical optimization via AI-driven automated schematic design solutions with visual concretization through image generative AI. The objective is to investigate the potential for simultaneously performing data-driven profitability assessments and conceptual design in the early stages, thereby enhancing communication efficiency among architects, clients, and key stakeholders.

목차

Abstract
1. 서론
1.1 연구배경 및 목적
1.2 연구범위 및 방법
2. 이론적 배경 및 관련 기술 현황
2.1 AI 기반 자동 기획설계 및 사업성 검토 기술
2.2 이미지 생성형 AI와 건축 시각화
3. AI 기술 활용 통합 워크플로우 제안
4. 사례 적용 및 결과 분석
4.1 AI 기반 자동 기획설계 단계 [Phase 1]
4.2 건축물 이미지 도출 단계 [Phase 2]
4.3 프롬프트 기반 디자인 구체화 단계[Phase 3]
4.4 통합 평가 및 의사결정 [Phase 4]
5. 결론
REFERENCES

저자

• 신용주 [ Shin, Yong-Joo | 경남대학교 건축학부 부교수 ] Corresponding Author

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