Review of artificial intelligence-based bridge damage detection

Y Zhang, KV Yuen - Advances in Mechanical Engineering, 2022 - journals.sagepub.com
Bridges are often located in harsh environments and are thus extremely susceptible to
damage. If the initial damage is not detected in time, it can develop further causing safety …

Datasets and processing methods for boosting visual inspection of civil infrastructure: A comprehensive review and algorithm comparison for crack classification …

G Yang, K Liu, J Zhang, B Zhao, Z Zhao, X Chen… - … and Building Materials, 2022 - Elsevier
Deep learning breakthrough stimulates new research trends in civil infrastructure inspection,
whereas the lack of quality-guaranteed, human-annotated, free-of-charge, and publicly …

GPR-based detection of internal cracks in asphalt pavement: A combination method of DeepAugment data and object detection

Z Liu, X Gu, W Wu, X Zou, Q Dong, L Wang - Measurement, 2022 - Elsevier
The lack of data and poor quality of ground penetrating radar (GPR) images have limited the
development of the object detection for internal cracks in asphalt pavement. To address this …

[HTML][HTML] Assessment of pavement structural conditions and remaining life combining accelerated pavement testing and ground-penetrating radar

Z Liu, Q Yang, X Gu - Remote Sensing, 2023 - mdpi.com
The inspection and monitoring of structural conditions are crucial for the maintenance of
semi-rigid base pavement. To achieve the inverse calculation of material parameters and …

Bayesian optimization based random forest and extreme gradient boosting for the pavement density prediction in GPR detection

Y Chen, F Li, S Zhou, X Zhang, S Zhang… - … and Building Materials, 2023 - Elsevier
The Ground penetrating radar (GPR) adopts non-destructive and continuous
electromagnetic (EM) monitoring technology that is influenced by the dielectric properties of …

[HTML][HTML] Combined use of GPR and other NDTs for road pavement assessment: An overview

A Elseicy, A Alonso-Díaz, M Solla, M Rasol… - Remote Sensing, 2022 - mdpi.com
Roads are the main transportation system in any country and, therefore, must be maintained
in good physical condition to provide a safe and seamless flow to transport people and …

[HTML][HTML] Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management

M Koohmishi, S Kaewunruen, L Chang… - Automation in Construction, 2024 - Elsevier
Railway track health monitoring and maintenance are crucial stages in railway asset
management, aiming to enhance the train operation quality and service life. For this aim …

[HTML][HTML] Operationalizing Digitainability: Encouraging mindfulness to harness the power of digitalization for sustainable development

S Gupta, J Campos Zeballos, G del Río Castro… - Sustainability, 2023 - mdpi.com
Digitalization is globally transforming the world with profound implications. It has enormous
potential to foster progress toward sustainability. However, in its current form, digitalization …

[HTML][HTML] From its core to the niche: Insights from GPR applications

F Lombardi, F Podd, M Solla - Remote Sensing, 2022 - mdpi.com
Thanks to its non-destructive, high-resolution imaging possibilities and its sensitivity to both
conductive and dielectric subsurface structures, Ground-Penetrating Radar (GPR) has …

[HTML][HTML] Mapping hazardous locations on a road network due to extreme gross vehicle weights

MA Mendoza-Lugo, O Morales-Nápoles - Reliability Engineering & System …, 2024 - Elsevier
This study investigates the application of hazard maps in identifying critical locations
associated with extreme vehicle load events. Examining extreme vehicle loads can offer …