Employing non-contact sensing techniques for improving efficiency and automation in numerical modelling of existing masonry structures: A critical literature review
Employing non-contact sensing techniques for improving efficiency and automation in numerical modelling of existing masonry structures: A critical literature review
复制标题
DOI：
10.1016/j.istruc.2021.03.111
复制
发表时间：
2021-08
期刊：
影响因子：
4.1
通讯作者：
N. Kassotakis;V. Sarhosis
中科院分区：
文献类型：
--
作者：
N. Kassotakis;V. Sarhosis
本文提出了非接触式传感就业的方法，以提高效率和可靠性的数值模拟的历史砖石。它开始与历史砖石结构的高层次的数值模拟方法进行了彻底的审查。以下，可用的非接触式传感技术的精度和成本效益进行审查，用于测量砌体结构。它们是：a）全站仪; B）激光跟踪仪; c）运动恢复结构（SfM）摄影测量; d）地面激光扫描（TLS）。然后，自动开发几何模型的策略（即，结构分析之前的数字模型），考虑到其自动化和使用的潜力。这些都是基于就业：a）点云; B）网格; c）非均匀有理基样条（NURBS）; d）建筑信息模型（BIM）; e）正交图像;和f）离散点。首先，审查发现，高层次的数值模拟方法，如连续体和基于块的模型是非常有效的，但需要准确的几何数据的可靠结果。为了弥合这一差距，发现SfM摄影测量等新兴技术的潜力，通过准确地提供几何数据和低成本，显着提高高层次结构分析的效率和鲁棒性。此外，基于云的（即，具有点云）和基于图像的（即，还发现，将地理空间数据转换为数值模型的方法最有效，分别适用于连续体建模和基于块的建模。这一贡献表明，采用新的数字技术，如非接触式传感技术，以提高高层次的数值建模方法的效率和鲁棒性的潜力。
This paper presents approaches for the employment of non-contact sensing to enhance both the efficiency and reliability of numerical modelling of historic masonry. It commences with a thorough review of the high-level numerical modelling approaches of historic masonry. Following, the accuracy and cost-effectivity of available non-contact sensing techniques are reviewed for surveying masonry structures. These are: a) the total station; b) the laser tracker; c) Structure-from-Motion (SfM) photogrammetry; and d) terrestrial laser scanning (TLS). Then, strategies of automatically developing geometric models (i.e., numerical models before structural analysis) from geospatial data are reviewed, considering their potential for automation and usage. These were based on the employment of: a) point clouds; b) meshes; c) non-uniform rational basis splines (NURBSs); d) building information models (BIMs); e) orthoimages; and f) discrete points. Primarily, the review found that high-level numerical modelling approaches such as the continuum and block-based models are highly effective, but necessitate accurate geometric data for reliable results. To bridge this gap, the potential of emerging technologies such as SfM photogrammetry was found to significantly improve the efficiency and robustness of high-level structural analysis, through providing geometric data accurately and with a low cost. Moreover, the cloud-based (i.e., with a point cloud) and image-based (i.e., with an orthoimage) approaches of converting geospatial data into numerical models were also found the most effective, for continuum and block-based modelling respectively. This contribution demonstrates the potential to employ novel digital technologies such as non-contact sensing techniques to improve the efficiency and robustness of high-level numerical modelling approaches.