Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.1
3.8
Journals
Buildings
Special Issues
Nondestructive Evaluation (NDE) of Buildings and Civil Infrastructure
share announcement

Nondestructive Evaluation (NDE) of Buildings and Civil Infrastructure

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 3590

Special Issue Editors

Dr. Zhigang Shen

E-Mail Website
Guest Editor
The Durham School of Architectural Engineering and Construction, College of Engineering, University of Nebraska–Lincoln, Lincoln, NE, USA
Interests: building envelope; NDE; cameras; rotary drones; AI; image processing
Dr. Endong Wang

E-Mail Website
Guest Editor
Sustainable Construction, State University of New York(SUNY-ESF), Syracuse, NY 13210, USA
Interests: building energy; LCA; big data; statistic methods; sustainability
Dr. Ri Na

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, University of Delaware, Newark, DE, USA
Interests: building envelope; CFD; UAV; building energy; simulations
Dr. Zhexiong Shang

E-Mail Website
Guest Editor
The Durham School of Architectural Engineering and Construction, College of Engineering, University of Nebraska–Lincoln, Lincoln, NE, USA
Interests: UAV; remote sensing; NDE; image processing; 3D point cloud
Dr. Chongsheng Cheng

E-Mail Website
Guest Editor
School of Civil Engineering, Chongqing Jiaotong University, Chongqing, China
Interests: remote sensing; pavement; infrared image processing; machine learning; NDE

Special Issue Information

Dear Colleagues,

Recent advancements in computer vision, image processing, and artificial intelligence created exciting opportunities for non-destructive evaluation (NDE) of buildings and civil infrastructure. The availability of low-cost sensors, UAVs, ground robots, cameras in different spectrums, and open-source computation tools significantly expand our sensing capability to better understand and evaluate various conditions of buildings and infrastructure during their lifespan. This Special Issue is dedicated to new findings in nondestructive sensing technologies that tap the newly available sensing tools and platforms in the domain of buildings and civil infrastructure. The research scope includes all stages in the lifespan of buildings and civil infrastructure, from planning, design, construction, operation, and maintenance, to different occupant behaviors. We especially welcome articles that address prominent practical issues related to critical components of our built environment, including buildings, building occupant behaviors, bridges, utility facilities, superstructures, and underground structures. Research methods can be experimental, numerical, and data-driven in the aimed themes.

Dr. Zhigang Shen
Dr. Endong Wang
Dr. Ri Na
Dr. Zhexiong Shang
Dr. Chongsheng Cheng
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • non-destructive evaluation
  • condition assessments
  • sensing
  • computer vision
  • image processing
  • buildings
  • civil infrastructure
  • occupants behavior

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

9 pages, 3804 KiB  
Article
Detection of Bridge Damages by Image Processing Using the Deep Learning Transformer Model
by Tomotaka Fukuoka and Makoto Fujiu
Buildings 2023, 13(3), 788; https://doi.org/10.3390/buildings13030788 - 16 Mar 2023
Cited by 3 | Viewed by 1751
Abstract
In Japan, bridges are inspected via close visual examinations every five years. However, these inspections are labor intensive, and a shortage of engineers and budget constraints will restrict such inspections in the future. In recent years, efforts have been made to reduce the [...] Read more.
In Japan, bridges are inspected via close visual examinations every five years. However, these inspections are labor intensive, and a shortage of engineers and budget constraints will restrict such inspections in the future. In recent years, efforts have been made to reduce the labor required for inspections by automating various aspects of the inspection process. In particular, image processing technology, such as transformer models, has been used to automatically detect damage in images of bridges. However, there has been insufficient discussion on the practicality of applying such models to damage detection. Therefore, this study demonstrates how they may be used to detect bridge damage. In particular, delamination and rebar exposure are targeted using three different models trained with datasets containing different size images. The detection results are compared and evaluated, which shows that the detection performance of the transformer model can be improved by increasing the size of the input image. Moreover, depending on the target, it may be desirable to avoid changing the detection target. The result of the largest size of the input image shows that around 3.9% precision value or around 19.9% recall value is higher than one or the other models. Full article
(This article belongs to the Special Issue Nondestructive Evaluation (NDE) of Buildings and Civil Infrastructure)
►▼ Show Figures

Figure 1

17 pages, 7361 KiB  
Article
High-Speed Videogrammetry for Seismic Performance of the Spherical Reticulated Shell Structure on the Shaking Table
by Xianglei Liu, Pengfei Zhang, Zhenkai Jia, Yuxin Chen, Shenglong Li and Runjie Wang
Buildings 2023, 13(2), 553; https://doi.org/10.3390/buildings13020553 - 17 Feb 2023
Cited by 2 | Viewed by 1347
Abstract
Spherical reticulated shell structure is an important structural form of large-span space buildings. It is of great significance to monitor three-dimensional (3D) dynamic responses of spherical reticulated shell structure to better understand its seismic performances, which will be helpful in the future to [...] Read more.
Spherical reticulated shell structure is an important structural form of large-span space buildings. It is of great significance to monitor three-dimensional (3D) dynamic responses of spherical reticulated shell structure to better understand its seismic performances, which will be helpful in the future to ensure the healthy condition of large-span space buildings during their lifespan. In this study, with the advantages of non-contact and high accuracy, a high-speed videogrammetric measurement method is proposed for monitoring the 3D dynamic responses of the seismically isolated, spherical, reticulated shell structural model. Two issues—the high-speed videogrammetric acquisition system and network configuration, as well as image sequence target tracking and positioning—are emphasized to achieve a cache of high-speed images and to improve the accuracy of tracking and positioning target points. The experimental results on the shaking table from the proposed method have been compared with those from traditional Optotrak Certus and accelerometers. The results prove that the proposed method is capable and useful for analyzing the seismic performance of spherical reticulated shell structures, as the dynamic responses monitoring accuracy of the method can reach the submillimeter level, with root mean square error values of 0.32 mm, 0.7 mm and 0.06 mm in the X, Y and Z directions, respectively. Full article
(This article belongs to the Special Issue Nondestructive Evaluation (NDE) of Buildings and Civil Infrastructure)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop