A photogrammetry based method for determination of 3D morphological indices of coarse aggregates

ÖZTÜRK H. I., Rashidzade I.

Construction and Building Materials, vol.262, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 262
  • Publication Date: 2020
  • Doi Number: 10.1016/j.conbuildmat.2020.120794
  • Journal Name: Construction and Building Materials
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, CAB Abstracts, Communication Abstracts, Compendex, INSPEC, Metadex, Veterinary Science Database, Civil Engineering Abstracts
  • Keywords: Coarse aggregate, Three-dimensional analysis, Photogrammetry, Morphology, Angularity index, Form Index, Sphericity, Volume, QUANTIFY AGGREGATE, SHAPE, ANGULARITY, VOLUME
  • Middle East Technical University Affiliated: Yes


© 2020 Elsevier LtdOver the last half-century, various image-based methods have been developed to quantify the morphological indices of aggregates. The majority of these methods rely on two-dimensional (2D) imaging for practical reasons, whereas a limited number of these use three-dimensional (3D) imaging. The focus of this study is to develop a practical and inexpensive 3D photogrammetry based method. In this study, 3D morphological indices and shape features of 57 aggregates from five sources are determined by the photogrammetry method and compared with 2D indices. As a result, a precise and low-cost alternative was developed as an alternative to existing 3D techniques.