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用于土木结构材料性能评估的图像分析技术

Image Analysis Technique for Material Behavior Evaluation in Civil Structures.

作者信息

Speranzini Emanuela, Marsili Roberto, Moretti Michele, Rossi Gianluca

机构信息

Department of Engineering, University of Perugia, via Duranti, 93-06125 Perugia, Italy.

出版信息

Materials (Basel). 2017 Jul 8;10(7):770. doi: 10.3390/ma10070770.

Abstract

The article presents a hybrid monitoring technique for the measurement of the deformation field. The goal is to obtain information about crack propagation in existing structures, for the purpose of monitoring their state of health. The measurement technique is based on the capture and analysis of a digital image set. Special markers were used on the surface of the structures that can be removed without damaging existing structures as the historical masonry. The digital image analysis was done using software specifically designed in Matlab to follow the tracking of the markers and determine the evolution of the deformation state. The method can be used in any type of structure but is particularly suitable when it is necessary not to damage the surface of structures. A series of experiments carried out on masonry walls of the Oliverian Museum (Pesaro, Italy) and Palazzo Silvi (Perugia, Italy) have allowed the validation of the procedure elaborated by comparing the results with those derived from traditional measuring techniques.

摘要

本文介绍了一种用于测量变形场的混合监测技术。其目的是获取有关现有结构中裂缝扩展的信息,以便监测其健康状况。该测量技术基于对一组数字图像的采集和分析。在结构表面使用了特殊标记,对于历史砖石结构等现有结构,这些标记可以在不造成损坏的情况下移除。数字图像分析是使用专门在Matlab中设计的软件进行的,以跟踪标记并确定变形状态的演变。该方法可用于任何类型的结构,但在不需要损坏结构表面的情况下特别适用。在奥利维耶里博物馆(意大利佩萨罗)和西尔维宫(意大利佩鲁贾)的砖石墙上进行的一系列实验,通过将结果与传统测量技术得出的结果进行比较,验证了所阐述的程序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea6b/5551813/0a5d11f88e3e/materials-10-00770-g002.jpg

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