Predictive models in machine learning for strength and life cycle assessment of concrete structures
A Dinesh, BR Prasad - Automation in Construction, 2024 - Elsevier
The integration of emerging technologies into the construction industry is crucial for the
successful execution of technologically sophisticated initiatives. Multiple disciplines of …
successful execution of technologically sophisticated initiatives. Multiple disciplines of …
Prediction of mechanical properties of high‐performance concrete and ultrahigh‐performance concrete using soft computing techniques: A critical review
A cement‐based material that meets the general goals of mechanical properties, workability,
and durability as well as the ever‐increasing demands of environmental sustainability is …
and durability as well as the ever‐increasing demands of environmental sustainability is …
[HTML][HTML] Automated ultrasonic-based diagnosis of concrete compressive damage amidst temperature variations utilizing deep learning
Ultrasonic-based non-destructive testing technologies have been extensively applied for
detection of internal damage in concrete. However, it is vulnerable to environmental …
detection of internal damage in concrete. However, it is vulnerable to environmental …
Acoustic tomography temperature reconstruction based on improved sparse reconstruction model and multi-scale feature fusion network
X Dong, L Zhang, L Qian, C Wu, Z Tang, A Li - Engineering Applications of …, 2024 - Elsevier
Acoustic tomography is a widely used non-contact method for visualizing temperature
distribution. A temperature distribution reconstruction algorithm based on an improved …
distribution. A temperature distribution reconstruction algorithm based on an improved …
[HTML][HTML] Automatic Concrete Slump Prediction of Concrete Batching Plant by Deep Learning
The workability of fresh concrete is highly important in terms of construction quality and
safety. Slump tests are required every 120 m³, yet automated monitoring for each concrete …
safety. Slump tests are required every 120 m³, yet automated monitoring for each concrete …
Effective pre-stress identification in steel strand based on ultrasonic guided wave and 1-dimensional convolutional neural network
L Zhang, J Jia, Y Bai, X Du, B Guo… - Structural Health …, 2024 - journals.sagepub.com
The accurate assessment of the effective pre-stress in steel strands is a challenging task,
and ultrasonic guided wave (UGW) technique has shown certain application prospects in …
and ultrasonic guided wave (UGW) technique has shown certain application prospects in …
Fractal Analysis of Cement-Based Composite Microstructure and Its Application in Evaluation of Macroscopic Performance of Cement-Based Composites: A Review
P Zhang, J Ding, J Guo, F Wang - Fractal and Fractional, 2024 - mdpi.com
Cement-based composites', as the most widely used building material, macroscopic
performance significantly influences the safety of engineering structures. Meanwhile, the …
performance significantly influences the safety of engineering structures. Meanwhile, the …
Quantitative evaluation of bolt pre-load using coda wave interferometry and nonlinear coda wave interferometry: a comparative study
The quantitative evaluation of bolt pre-load is crucial for the maintenance and prevention of
accidents in bolt-connected structures. This study introduces the coda wave interferometry …
accidents in bolt-connected structures. This study introduces the coda wave interferometry …
Evaluation of compressive damage in concrete using ultrasonic nonlinear coda wave interferometry
This study investigates the feasibility of nonlinear coda wave interferometry (NCWI) for
evaluating compressive damage in concrete, with a particular focus on the interference …
evaluating compressive damage in concrete, with a particular focus on the interference …
A visual area detection algorithm based on mirror splicing for motorcycle indirect vision test
Y Li, Z Liu, S Jiang, Z Yang, B Li… - … Science and Technology, 2024 - iopscience.iop.org
Motorcycle indirect vision devices are important safety components, and the visual area is
required to meet industry standards. There is a need for effective algorithms to detect and …
required to meet industry standards. There is a need for effective algorithms to detect and …