Article
Construction & Building Technology
Kai Lyu, E. J. Garboczi, Yufeng Gao, Changwen Miao, Xiaoyan Liu
Summary: This study quantitatively characterized the air void system of six mortars with varying sand size distributions via X-ray computed tomography, revealing a linear relationship between fine aggregate specific surface area and global air void volume fraction.
CEMENT & CONCRETE COMPOSITES
(2022)
Article
Construction & Building Technology
Kai Lyu, E. J. Garboczi, Xiaoyan Liu
Summary: This paper proposes a method for computing the three-dimensional distribution of air voids based on X-ray computed tomography images, and experiments were conducted on six mortar samples. Results show that this method can accurately quantify the three-dimensional arrangement of air voids.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Li-Heng Shu, Fu-Jian Ni, Ji-Wang Jiang, Zi-Li Zhao, Zhao-Yuan Guo
Summary: This research aims to characterize the air void distribution within the mortar of an asphalt mixture and develop a method for calculating the air void content of asphalt mortar. It uses industrial CT scanning and image analysis to capture and analyze the internal structures of air voids in asphalt mixtures. The results show the relationship between air void content and mixture parameters, providing a quantitative method for calculating air void content in asphalt mortar.
APPLIED SCIENCES-BASEL
(2023)
Article
Construction & Building Technology
Alexis Jair Enriquez-Leon, Thiago Delgado de Souza, Francisco Thiago Sacramento Aragao, Delson Braz, Andre Maues Brabo Pereira, Liebert Parreiras Nogueira
Summary: X-ray micro-computed tomography is an advanced technique for examining the volumetric characteristics of asphalt mixtures, with segmentation being a key step for air void quantification. Machine learning and deep learning have recently emerged as promising alternatives to conventional manual threshold selection, offering accurate results albeit at the cost of longer processing times.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yura Ahn, Sang Min Lee, Hwa Jung Kim, Jooae Choe, Sang Young Oh, Kyung-Hyun Do, Joon Beom Seo
Summary: This study found that pulmonary vein injury after percutaneous transthoracic needle biopsy (PTNB) can be detected on CT and is associated with air embolism. Careful planning of the needle pathway on CT can reduce the risk of air embolism.
EUROPEAN RADIOLOGY
(2022)
Article
Materials Science, Multidisciplinary
Yu Chen, Oguzhan Copuroglu, Claudia Romero Rodriguez, Fernando F. de Mendonca Filho, Erik Schlangen
Summary: Air voids play a dominant role in interlayer bond strength of 3D printed cementitious materials. The majority of air voids are evenly distributed within the 10-1000μm diameter range, displaying irregular and elongated shapes. Large air voids enclosed between printed filaments in the interface region contribute to relatively higher local porosity.
MATERIALS CHARACTERIZATION
(2021)
Article
Construction & Building Technology
Mohd Zul Hanif Mahmud, Norhidayah Abdul Hassan, Mohd Rosli Hainin, Che Ros Ismail, Ramadhansyah Putra Jaya, Muhammad Naqiuddin Mohd Warid, Haryati Yaacob, Nordiana Mashros
Summary: Road traffic noise is a significant environmental issue, with porous asphalt often used as a solution but facing challenges from clogging. This study measured changes in microstructural properties and sound absorption due to clogging cycles, recommending the use of a Non-local mean filter for image segmentation accuracy. Clogging was found to significantly impact the physical void structure and sound absorption properties of porous asphalt.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Chemistry, Physical
Teemu Ojala, Yanjuan Chen, Jouni Punkki, Fahim Al-Neshawy
Summary: This paper presents the characteristics of air void systems in hardened concrete using digital image analysis (DIA) coupled with Schwartz-Saltykov (SS) conversion, finding that the combination of the two methods improves the accuracy of estimating air content. The study also shows good correlations between air content estimated from the DIA method, thin section (TS) method, and pressure saturation (PS) method, but poor correlations when spacing factor and specific surface are considered. Additionally, the study reveals the changes in three-dimensional size distribution (3-DSD) of air voids after SS conversion.
Article
Materials Science, Multidisciplinary
Hongwei Lin, Xiaobo Du, Changyu Zhong, Ping Wu, Wenchang Liu, Mutian Sun, Hongchao Zhang
Summary: The distribution characteristics of air voids in ultrathin asphalt friction course (UAFC) samples with different gradations and compaction methods were statistically analyzed using X-ray computed tomography (CT) and image analysis techniques. The OGFC-5 mixture showed a higher air void ratio, larger air void size, and greater number of air voids compared to the AC-5 sample, with more uniform distribution and rounded shapes of internal air voids. The two-parameter Weibull function provided a good fit for the gradation of air voids, and the compaction method significantly influenced the air void distribution characteristics and compaction uniformity of AC-5 sample.
JOURNAL OF WUHAN UNIVERSITY OF TECHNOLOGY-MATERIALS SCIENCE EDITION
(2023)
Article
Construction & Building Technology
Alexis Jair Enriquez-Leon, Thiago Delgado de Souza, Francisco Thiago Sacramento Aragao, Andre Maues Brabo Pereira, Liebert Parreiras Nogueira
Summary: This study proposes a criterion to select the air void content for fabricating isolated FAM testing specimens based on comprehensive examination of the AC phase using X-ray micro-computed tomography tests and digital image processing with artificial intelligence techniques. The results show that this procedure can provide key insights into the volumetric characteristics of FAM mixtures, contributing to the improvement of FAM design protocols and more accurate characterizations of their behavior.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Chemistry, Physical
Xiaoguang Yao, Huiyu Xu, Tao Xu
Summary: The void distributions and interfacial adhesion property significantly affect the cracking resistance of cold recycled mixture (CRM) prepared using waterborne epoxy resin/styrene butadiene rubber latex (WER/SBR) modified emulsified asphalt (EA). The modified emulsified asphalt effectively fills the voids and reduces their content and size. Moreover, the modified emulsified asphalt exhibits strong adhesion and deformation resistance. The failure at the interface between asphalt and fresh aggregate and the cohesive failure of the syncretic interface between asphalt and aged asphalt are the main cracking forms of the CRM specimen.
APPLIED SURFACE SCIENCE
(2022)
Review
Construction & Building Technology
Barbara Schuck, Tim Teutsch, Stefan Alber, Wolfram Ressel, Holger Steeb, Matthias Ruf
Summary: This paper aims to show the complexity of studying air void topology by providing an in-depth literature review, presenting factors defining air void structure and their relationships, and introducing a new approach to distinguish constrictions in the air void matrix.
ROAD MATERIALS AND PAVEMENT DESIGN
(2021)
Article
Engineering, Mechanical
Nengdong Jiang, Zhi Ge, Yanhua Guan, Zhiwu Zuo, Hongzhi Zhang, Yifeng Ling, Branko Savija
Summary: This study investigates the mechanical properties of foamed concrete at the meso-scale using X-ray computed tomography (XCT) technique and a discrete lattice type fracture model. The microstructure of foamed concrete with different densities is analyzed and the air-void structure parameters are characterized. Computational simulations are conducted to calculate the strengths and elastic modulus of virtual specimens. The results are compared with experimental data, which show good accuracy in predicting mechanical strength and crack pattern using the lattice model.
THEORETICAL AND APPLIED FRACTURE MECHANICS
(2022)
Article
Construction & Building Technology
Weitian Zhao, Qun Yang
Summary: This study comprehensively analyzed the void distribution characteristics of the matrix skeleton and found that the strength, rigidity, and toughness of SFP are related to the characteristics of voids, especially the three-dimensional void relative surface area index has the most significant influence on the mechanical properties.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2023)
Article
Construction & Building Technology
Benoit Hilloulin, Imane Bekrine, Emmanuel Schmitt, Ahmed Loukili
Summary: This study introduces an open-source modular deep learning segmentation algorithm based on Convolutional neural networks (CNN) for concrete microscopic image segmentation. The algorithm's performances are validated by calculating the Protected Paste Volume (PPV) and distance-to-air-void, which agreed well with the experimental spacing factor.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
