This paper presents a multi-member automatic structural modeling (MASM) method for high-thrust deviation monitoring of prefabricated cable domes. Point cloud data generated by three-dimensional (3D) laser scanning were segmented into structural modules to effectively reduce the method's computational complexity. A multimember central shrinkage algorithm was developed for skeleton-point recognition. Subsequently, skeleton members were detected with sequentially identified joints, and the structural model of the cable dome was built. The MASM method was validated with respect to its 1) accuracy, ensuring a satisfactory signal-to-noise ratio, and 2) efficiency, ensuring competitive runtime. The use case of the cable-dome deviation monitoring was studied in detail. The proposed MASM method systematically evaluates prefabricated cable domes with multi-section members. This study enables high-fidelity analysis using a structural digital twin for predicting future structural performance.

中文翻译：

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3D 激光扫描用于多节预制电缆穹顶的自动结构建模和偏差监控


本文提出了一种用于预制索穹顶高推力偏差监测的多构件自动结构建模（MASM）方法。将三维（3D）激光扫描生成的点云数据分割成结构模块，以有效降低该方法的计算复杂度。开发了一种用于骨架点识别的多成员中心收缩算法。随后，通过依次识别的关节检测骨架构件，并建立索穹顶的结构模型。 MASM 方法在以下方面进行了验证：1) 准确性，确保令人满意的信噪比；2) 效率，确保有竞争力的运行时间。详细研究了索穹顶偏差监测的用例。所提出的 MASM 方法系统地评估了具有多部分构件的预制索穹顶。这项研究使用结构数字孪生进行高保真度分析，以预测未来的结构性能。