Curing Assessment of Concrete with Hyperspectral Imaging

被引:6
|
作者
Ptacek, Lisa [1 ]
Strauss, Alfred [1 ]
Hinterstoisser, Barbara [2 ]
Zitek, Andreas [3 ]
机构
[1] Univ Nat Resources & Life Sci, Dept Civil Engn & Nat Hazards, A-1190 Vienna, Austria
[2] Univ Nat Resources & Life Sci, Dept Mat Sci & Proc Engn, A-1190 Vienna, Austria
[3] FFoQSI GmbH, FFoQSI Austrian Competence Ctr Feed & Food Qual S, Technopk 1D, A-3430 Tulln, Austria
关键词
concrete curing; near infrared spectral signatures; hyperspectral imaging; condition assessment; non-destructive testing (NDT); k-means clustering; WATER;
D O I
10.3390/ma14143848
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The curing of concrete significantly influences the hydration process and its strength development. Inadequate curing leads to a loss of quality and has a negative effect on the durability of the concrete. Usually, the effects are not noticed until years later, when the first damage to the structure occurs because of the poor concrete quality. This paper presents a non-destructive measurement method for the determination of the curing quality of young concrete. Hyperspectral imaging in the near infrared is a contactless method that provides information about material properties in an electromagnetic wavelength range that cannot be seen with the human eye. Laboratory tests were carried out with samples with three different curing types at the age of 1, 7, and 27 days. The results showed that differences in the near infrared spectral signatures can be determined depending on the age of the concrete and the type of curing. The data was classified and analyzed by evaluating the results using k-means clustering. This method showed a high level of reliability for the differentiation between the different curing types and concrete ages. A recommendation for hyperspectral measurement and the evaluation of the curing quality of concrete could be made.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety
    Huang, Hui
    Liu, Li
    Ngadi, Michael O.
    SENSORS, 2014, 14 (04): : 7248 - 7276
  • [42] Applications and assessment of an excitation-scanning hyperspectral imaging system
    Mayes, Sam A.
    Moore, Kaysie
    Browning, Craig
    Klomkaew, Phiwat
    Rich, Thomas C.
    Leavesley, Silas J.
    IMAGING, MANIPULATION, AND ANALYSIS OF BIOMOLECULES, CELLS, AND TISSUES XVI, 2018, 10497
  • [43] Assessment of Grapevine Water Status from Hyperspectral Imaging of Leaves
    Diago, M. P.
    Pou, A.
    Millan, B.
    Tardaguila, J.
    Fernandes, A. M.
    Melo-Pinto, P.
    VII INTERNATIONAL SYMPOSIUM ON IRRIGATION OF HORTICULTURAL CROPS, 2014, 1038 : 89 - 96
  • [44] Assessment of Mechanical Damage and Germinability in Flaxseeds Using Hyperspectral Imaging
    Nadimi, Mohammad
    Divyanth, L. G.
    Chaudhry, Muhammad Mudassir Arif
    Singh, Taranveer
    Loewen, Georgia
    Paliwal, Jitendra
    FOODS, 2024, 13 (01)
  • [45] Pancreatic Islet Viability Assessment Using Hyperspectral Imaging of Autofluorescence
    Campbell, Jared M.
    Walters, Stacey N.
    Habibalahi, Abbas
    Mahbub, Saabah B.
    Anwer, Ayad G.
    Handley, Shannon
    Grey, Shane T.
    Goldys, Ewa M.
    CELLS, 2023, 12 (18)
  • [46] Hyperspectral Imaging for Perfusion Assessment of the Skin with Convolutional Neuronal Networks
    Linek, Matthaeus
    Schrader, Isabel
    Volgger, Veronika
    Ruehm, Adrian
    Sroka, Ronald
    TRANSLATIONAL BIOPHOTONICS: DIAGNOSTICS AND THERAPEUTICS, 2021, 11919
  • [47] Assessment of multispectral and hyperspectral imaging systems for digitisation of a Russian icon
    MacDonald, Lindsay W.
    Vitorino, Tatiana
    Picollo, Marcello
    Pillay, Ruven
    Obarzanowski, Michal
    Sobczyk, Joanna
    Nascimento, Sergio
    Linhares, Joao
    HERITAGE SCIENCE, 2017, 5
  • [48] Exploring the potential of hyperspectral imaging for microbial assessment of meat: A review
    Matenda, Rumbidzai T.
    Rip, Diane
    Marais, Jeannine
    Williams, Paul J.
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2024, 315
  • [49] Hyperspectral imaging features for mortar classification and compressive strength assessment
    Fan, Liang
    Fan, Ming
    Alhaj, Abdullah
    Chen, Genda
    Ma, Hongyan
    CONSTRUCTION AND BUILDING MATERIALS, 2020, 251
  • [50] Assessment of Intramuscular Fat Quality in Pork Using Hyperspectral Imaging
    Kucha, Christopher T.
    Liu, Li
    Ngadi, Michael
    Gariepy, Claude
    FOOD ENGINEERING REVIEWS, 2021, 13 (01) : 274 - 289