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使用固定和移动相机的数字图像相关技术评估开裂钢筋混凝土结构性能的实验数据集。

Experimental dataset to assess the structural performance of cracked reinforced concrete using Digital Image Correlation techniques with fixed and moving cameras.

作者信息

Sjölander Andreas, Belloni Valeria, Peterson Viktor, Ledin Jonatan

机构信息

Division of Concrete Structures, Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Stockholm, Sweden.

Geodesy and Geomatics Division, Department of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, Rome, Italy.

出版信息

Data Brief. 2023 Oct 20;51:109703. doi: 10.1016/j.dib.2023.109703. eCollection 2023 Dec.

Abstract

The infrastructure is in many countries aging and continuous maintenance is required to ensure the safety of the structures. For concrete structures, cracks are a part of the structure's life cycle. However, assessing the structural impact of cracks in reinforced concrete is a complex task. The purpose of this paper is to present a dataset that can be used to verify and compare the results of the measured crack propagation in concrete with the well-known Digital Image Correlation (DIC) technique and with Crack Monitoring from Motion (CMfM), a novel photogrammetric algorithm that enables high accurate measurements with a non-fixed camera. Moreover, the data can be used to investigate how existing cracks in reinforced concrete could be implemented in a numerical model. Therefore, the first potential area to use this dataset is within image processing techniques with a focus on DIC. Until recently, DIC suffered from one major disadvantage; the camera must be fixed during the entire period of data collection. Naturally, this decreases the flexibility and potential of using DIC outside the laboratory. In a recently published paper (Belloni et al., 2023), an innovative photogrammetric algorithm (CMfM) that enables the use of a moving camera, i.e. a camera that is not fixed during data acquisition, was presented. The imagery of this dataset (Sjölander et al., 2023) was used to verify the potential of this algorithm and could be used to validate other approaches for non-fixed cameras. The second potential area is structural engineering. The data can be used to verify non-linear material models used in finite element (FE) software to simulate the structural response of reinforced concrete. In particular, the data can be used to investigate how existing cracks should be modelled in a FE model. The dataset presented in this paper includes data collected from a three-point bending test performed in a laboratory environment on uncracked and pre-cracked reinforced concrete beams. Structural testing was performed using a displacement-controlled set-up, which continuously recorded the force and the vertical displacement of a centric placed loading piston. First, the response of three uncracked beams was recorded. Thereafter, photos of the resulting cracks were taken, and a detailed mapping was presented. Material properties for the concrete, e.g., compressive strength, are presented together with testing of the tensile capacity of the reinforcement and a compressive test of the soft fiber boards used at the support to ensure good contact between steel and concrete. Then, the structural response of the pre-cracked beams was tested. During this test, four fixed cameras were used to monitor the crack propagation at different locations on the beam. Images are presented at the start of the load sequences and at pre-defined load stops during the testing. Hence, the crack opening captured in the images can be correlated to the force-displacement data. Moreover, a non-fixed camera was used to capture additional imagery at the location of each fixed camera.

摘要

在许多国家,基础设施都在老化,需要持续维护以确保结构安全。对于混凝土结构而言,裂缝是结构生命周期的一部分。然而,评估钢筋混凝土中裂缝对结构的影响是一项复杂的任务。本文的目的是提供一个数据集,该数据集可用于验证和比较采用著名的数字图像相关(DIC)技术以及裂缝运动监测(CMfM,一种新型摄影测量算法,可使用非固定相机进行高精度测量)测量混凝土中裂缝扩展的结果。此外,这些数据可用于研究如何在数值模型中实现钢筋混凝土中的现有裂缝。因此,使用该数据集的第一个潜在领域是在以DIC为重点的图像处理技术中。直到最近,DIC还存在一个主要缺点;在整个数据收集期间,相机必须固定。自然地,这降低了在实验室之外使用DIC的灵活性和潜力。在最近发表的一篇论文(贝洛尼等人,2023年)中,提出了一种创新的摄影测量算法(CMfM),该算法能够使用移动相机,即在数据采集期间不固定的相机。该数据集(舍兰德等人,2023年)的图像被用于验证该算法的潜力,并可用于验证其他针对非固定相机的方法。第二个潜在领域是结构工程。这些数据可用于验证有限元(FE)软件中用于模拟钢筋混凝土结构响应的非线性材料模型。特别是,这些数据可用于研究在有限元模型中应如何对现有裂缝进行建模。本文给出的数据集包括在实验室环境中对未开裂和预开裂的钢筋混凝土梁进行三点弯曲试验收集的数据。结构试验采用位移控制装置进行,该装置连续记录位于中心的加载活塞的力和垂直位移。首先,记录三根未开裂梁的响应。此后,拍摄产生的裂缝照片,并给出详细的测绘结果。给出了混凝土的材料性能,如抗压强度,以及钢筋抗拉能力的测试结果和用于支撑处的软纤维板的抗压试验结果,以确保钢与混凝土之间有良好的接触。然后,对预开裂梁的结构响应进行测试。在该测试过程中,使用四个固定相机监测梁上不同位置的裂缝扩展情况。在加载序列开始时以及测试过程中预定义的加载停止点处展示图像。因此,图像中捕捉到的裂缝开口可与力 - 位移数据相关联。此外,还使用了一个非固定相机在每个固定相机的位置捕捉额外的图像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89fa/10641121/2679c98f96d1/gr1.jpg

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