Image-driven prediction system: Automatic extraction of aggregate gradation of pavement core samples integrating deep learning and interactive image processing …
Aggregate gradation plays a crucial role in determining the asphalt pavement performance,
necessitating assessment post-construction. Additionally, efficient gradation measurement is …
necessitating assessment post-construction. Additionally, efficient gradation measurement is …
A deep learning informed-mesoscale cohesive numerical model for investigating the mechanical behavior of shield tunnels with crack damage
S Zhao, FY Wang, DY Tan, AW Yang - Structures, 2024 - Elsevier
The present deep learning (DL)-based detection of crack damage of shield tunnels through
images can only provide part of geometric information of the crack damage, which prevents …
images can only provide part of geometric information of the crack damage, which prevents …
Pavement raveling inspection using a new image texture-based feature set and artificial intelligence
Enhancing pavement distress inspection is crucial within a pavement management system.
Recognizing the advantages of automated pavement condition inspection, considerable …
Recognizing the advantages of automated pavement condition inspection, considerable …
Image-based severity analysis of Asphalt pavement bleeding using a metaheuristic-boosted fuzzy classifier
Pavement management systems play a vital role in maintaining transportation infrastructures
by evaluating pavement distress to perform maintenance tasks efficiently. Severity analysis …
by evaluating pavement distress to perform maintenance tasks efficiently. Severity analysis …
Analysis of Geometric Characteristics of Cracks and Delamination in Aerated Concrete Products Using Convolutional Neural Networks
I Razveeva, A Kozhakin, AN Beskopylny, SA Stel'makh… - Buildings, 2023 - mdpi.com
Currently, artificial intelligence (AI) technologies are becoming a strategic vector for the
development of companies in the construction sector. The introduction of “smart solutions” at …
development of companies in the construction sector. The introduction of “smart solutions” at …
Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features
Water quality indicators (WQIs), such as chlorophyll-a (Chl-a) and dissolved oxygen (DO),
are crucial for understanding and assessing the health of aquatic ecosystems. Precise …
are crucial for understanding and assessing the health of aquatic ecosystems. Precise …
An experimental investigation and optimization of the properties of concrete containing cellulose fiber based on system theory
H Wu, A Shen, G Ren, Z He, W Wang, B Ma - Construction and Building …, 2024 - Elsevier
This study aims to provide an approach for the optimization and prediction of the properties
of cellulose fiber-reinforced concrete using system theory. First, mechanical properties …
of cellulose fiber-reinforced concrete using system theory. First, mechanical properties …
Seismic behaviour of post-earthquake composite frame structures with different damage levels
H Zhao, XY Qian, YJ Zhu - Structures, 2023 - Elsevier
Since earthquakes pose a huge threat to buildings, the post-earthquake safety assessment
is quite important, especially in earthquake-prone areas. This paper investigates the seismic …
is quite important, especially in earthquake-prone areas. This paper investigates the seismic …
Automatic quantification of concrete cracks via multistage image filtration and trajectory-based local binarization
TT Yalew, KS Kim - Journal of Building Engineering, 2023 - Elsevier
Ensuring the structural integrity of civil infrastructure and maintaining public safety
necessitates accurate and reliable periodic inspection of cracks on concrete surfaces. Image …
necessitates accurate and reliable periodic inspection of cracks on concrete surfaces. Image …
A novel transfer learning model for the real-time concrete crack detection
W Qingyi, C Bo - Knowledge-Based Systems, 2024 - Elsevier
The crack is an important index to evaluate the damage degree of concrete structure. While,
the traditional algorithms of crack detection have complex operations and weak …
the traditional algorithms of crack detection have complex operations and weak …