Version 1
: Received: 7 August 2023 / Approved: 7 August 2023 / Online: 8 August 2023 (03:31:38 CEST)
How to cite:
Zheng, W.; Xu, B.; Wang, J.; Liu, J. A Concrete Core Void Imaging Approach for Concrete-Filled Steel Tube Members and Parameter Analysis with Travel Time Tomography. Preprints2023, 2023080532. https://doi.org/10.20944/preprints202308.0532.v1
Zheng, W.; Xu, B.; Wang, J.; Liu, J. A Concrete Core Void Imaging Approach for Concrete-Filled Steel Tube Members and Parameter Analysis with Travel Time Tomography. Preprints 2023, 2023080532. https://doi.org/10.20944/preprints202308.0532.v1
Zheng, W.; Xu, B.; Wang, J.; Liu, J. A Concrete Core Void Imaging Approach for Concrete-Filled Steel Tube Members and Parameter Analysis with Travel Time Tomography. Preprints2023, 2023080532. https://doi.org/10.20944/preprints202308.0532.v1
APA Style
Zheng, W., Xu, B., Wang, J., & Liu, J. (2023). A Concrete Core Void Imaging Approach for Concrete-Filled Steel Tube Members and Parameter Analysis with Travel Time Tomography. Preprints. https://doi.org/10.20944/preprints202308.0532.v1
Chicago/Turabian Style
Zheng, W., Jiang Wang and Jing-Liang Liu. 2023 "A Concrete Core Void Imaging Approach for Concrete-Filled Steel Tube Members and Parameter Analysis with Travel Time Tomography" Preprints. https://doi.org/10.20944/preprints202308.0532.v1
Abstract
Concrete-filled steel tube (CFST) members have been widely used in the field of civil engineering due to their advanced superior mechanical properties. However, internal defects such as concrete core voids and interface debonding are likely to weaken the load-carrying capacity and stiffness of these members, which affects safety and serviceability of CFST structures. Visualizing the inner defects of concrete core in CFST members have been a critical need in civil engineering construction, a travel time tomography (TTT) is introduced to quantitatively identify and visualize the sizes and positions of CFST members in this paper. Moreover, a parameter analysis is performed to investigate the relationship between TTT imaging qualities and influence factors, e.g. inversion parameters, defect sizes and positions. The effectiveness and accuracy of the TTT algorithm are verified by several numerical examples and the results demonstrate that TTT can identify the sizes and positions of concrete core void defects in CFST members efficiently and several inversion parameters including model weighting matrix and inversion grid size really pose a significant impact on the imaging results of CFST members. In addition, several optimum parameters are recommended to benefit the future study of the promising TTT approach for CFST members.
Keywords
Concrete-filled steel tubular; Travel time tomography; Piezoelectric lead zirconate titanate; Defect imaging; Parameter analysis
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
