This research, which is based on the digital technologies building information modeling (BIM) and artificial intelligence, describes achievements in the field of detecting, assessing, and digitalising damage in existing buildings. The purpose of the study is to highlight the potential and current benefits of combining structural-assessment methods with the automatic digitisation of hazard-induced damage in affected buildings. To this end, the aforementioned technologies are employed in the form of an image-based recognition-BIM classification technique applied to on-site visual-damage data. By extending the methodology to existing masonry and concrete buildings, the results obtained open up new opportunities for speeding up the process of assessing, designing, and managing seismic repair/retrofit interventions using image data acquired in the manner described.

中文翻译：

---

建筑信息建模和人工智能：现有建筑地震损伤数字化的先进技术

这项研究基于数字技术建筑信息模型 (BIM) 和人工智能，描述了现有建筑损坏检测、评估和数字化领域的成就。该研究的目的是强调将结构评估方法与受影响建筑物中灾害引起的损坏的自动数字化相结合的潜在和当前好处。为此，上述技术以基于图像的识别-BIM分类技术应用于现场视觉损伤数据的形式被采用。通过将该方法扩展到现有的砖石和混凝土建筑，获得的结果为加快评估、设计、