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Terrestrial Laser Scanning for the Generation and Calibration of Finite Element Models

机译:用于生成和校准有限元模型的地面激光扫描

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摘要

Terrestrial laser scanning technology (TLS) has become one of the best-performed technologies for acquisition of three-dimensional (3D) information of objects. It is a reliable method in the monitoring of structure deformations and cracks. In this thesis, the health monitoring of concrete structures is investigated based on TLS and a numerical analysis is carried out by Finite Element Method (FEM) model. The benefits of 3D TLS in the generation and calibration of FEM models are fully utilized to construct an intelligent model for the detection and assessment of objects, e.g. the monitoring and assessment of concrete structures. On one hand, polynomial approximation and concrete cracks detection from the TLS point clouds data are realized in MATLAB program. Justification is made on the quality of both approximated surface and cracks. On the other hand, the constructed FEM model is validated by the surface-based calculations from TLS. The precision of FEM model prediction is of high importance. In this situation, response surface methodology (RSM) is adopted to correct and update the FEM model. The displacement-based RSM correction and volume-based RSM updating are applied and the significance of RSM models are confirmed by the determination coefficient R2.
机译:地面激光扫描技术(TLS)已成为获取物体三维(3D)信息的最佳技术之一。它是监测结构变形和裂缝的可靠方法。本文研究了基于TLS的混凝土结构健康监测,并采用有限元法(FEM)模型进行了数值分析。充分利用 3D TLS 在生成和校准 FEM 模型方面的优势,构建用于检测和评估物体的智能模型,例如混凝土结构的监测和评估。一方面,在MATLAB程序中实现了TLS点云数据的多项式逼近和混凝土裂缝检测。根据近似表面和裂纹的质量进行论证。另一方面,构建的有限元模型通过TLS的基于表面的计算进行验证。有限元模型预测的精确性非常重要。在这种情况下,采用响应面方法(RSM)来校正和更新有限元模型。应用基于位移的RSM校正和基于体积的RSM更新,并通过确定系数R2确认了RSM模型的意义。

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