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<p>Timber architectural heritage components along linear cultural corridors exhibit complex and diverse morphological features, posing significant challenges and high time costs in creating their information models, which severely hinders the progress of digital conservation. To address this, this study proposes an AIGC (Artificial Intelligence Generated Content) driven “craftsmanship → program code → 3D model” pathway for HBIM modeling, aiming to redefine the methodology for architectural heritage information modeling. By developing program codes in visual modeling software to digitally simulate traditional manual construction processes and integrating artificial intelligence to generate parametric modeling codes based on traditional craftsmanship, this research enables the creation of parametric universal models for components of the same category. This approach significantly reduces repetitive modeling efforts, decreases the storage space required for HBIM, and thereby enhances the efficiency and feasibility of digital conservation for timber architectural heritage.</p>

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Artificial intelligence generated content driven 3D modeling of Dougong components in Qing dynasty architectural heritage incorporating craftsmanship

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月19日

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  • Jun Cai,
  • Jinliang Qu,
  • Jing Lu,
  • Chunjie Li,
  • Shengcai Xu,
  • Lijuan Lu,
  • Dingyu Huang,
  • Xiuli Qiu,
  • Jinlian Luo

摘要

Timber architectural heritage components along linear cultural corridors exhibit complex and diverse morphological features, posing significant challenges and high time costs in creating their information models, which severely hinders the progress of digital conservation. To address this, this study proposes an AIGC (Artificial Intelligence Generated Content) driven “craftsmanship → program code → 3D model” pathway for HBIM modeling, aiming to redefine the methodology for architectural heritage information modeling. By developing program codes in visual modeling software to digitally simulate traditional manual construction processes and integrating artificial intelligence to generate parametric modeling codes based on traditional craftsmanship, this research enables the creation of parametric universal models for components of the same category. This approach significantly reduces repetitive modeling efforts, decreases the storage space required for HBIM, and thereby enhances the efficiency and feasibility of digital conservation for timber architectural heritage.