The high‐rise residential shear wall structure is a crucial component of urban building clusters, while the limited availability of detailed structural information becomes a critical bottleneck in improving the accuracy of seismic performance assessment for high‐rise residential shear wall buildings in urban areas. Based on easily obtainable yet limited structural data at the urban scale, this paper proposes a method to address the shortcomings of existing research on reconstructing hidden structural information and enhance the accuracy of structural seismic performance assessment. It includes a physics‐constrained generative adversarial network module and a fuzzy inference system module to reconstruct the spatial arrangement of shear walls, and material strength grades within buildings, respectively. Validated against two actual buildings, the method outperforms the widely used simplified analysis method at the urban scale, achieving 85.9% accuracy in predicting damage states across various floors.

中文翻译：

---

结构数据有限的高层住宅剪力墙建筑隐藏结构信息重构及地震反应分析


高层住宅剪力墙结构是城市建筑群的重要组成部分，而详细结构信息的有限性成为提高城市地区高层住宅剪力墙建筑抗震性能评估准确性的关键瓶颈。基于易于获取但有限的城市尺度结构数据，本文提出了一种方法来解决现有重建隐藏结构信息研究的不足，提高结构抗震性能评估的准确性。它包括一个物理约束的生成对抗网络模块和一个模糊推理系统模块，分别用于重建剪力墙的空间布置和建筑物内的材料强度等级。通过对两座实际建筑的验证，该方法优于城市尺度上广泛使用的简化分析方法，在预测各楼层的损坏状态方面达到了 85.9% 的准确率。