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Vision-oriented machine learning-assisted seismic energy dissipation estimation for damaged RC beam-column connections
After a seismic event, damage quantification is necessary for safety evaluation, collapse
proximity judgment, and measurement of the residual seismic capacity of the joints. Machine …
proximity judgment, and measurement of the residual seismic capacity of the joints. Machine …
Computer vision-based quantification of updated stiffness for damaged RC columns after earthquake
Concrete surface cracks are one of the primary indicators of structural deterioration; thus,
crack analysis is crucial to maintain the intact serviceability of the structural components …
crack analysis is crucial to maintain the intact serviceability of the structural components …
Vision‐based probabilistic post‐earthquake loss estimation for reinforced concrete shear walls
In this paper, a probabilistic methodology based on image analysis is proposed for
earthquake‐induced loss estimation in rectangular reinforced concrete shear walls …
earthquake‐induced loss estimation in rectangular reinforced concrete shear walls …
Crack image-based FEMA P-58-compliant fragility models for automated earthquake-induced loss estimation in non-ductile RC moment frames
In this paper, a probabilistic post-earthquake loss estimation methodology based on image
processing is proposed for non-seismically designed reinforced concrete moment frames …
processing is proposed for non-seismically designed reinforced concrete moment frames …
Failure analysis of 3D concrete printing bolted laminates mimicking geological strata
Abstract 3D concrete printing has the potential to simulate physical models for engineering
investigations. However, it has not been fully exploited and validated. In this study, 3D …
investigations. However, it has not been fully exploited and validated. In this study, 3D …
Wavelet-integrated deep neural network for deblurring and segmentation of crack images
The blurred concrete crack images are typically the result of unexpected camera motion in
engineering. Consequently, deblurring and segmentation of them represents a challenging …
engineering. Consequently, deblurring and segmentation of them represents a challenging …
Probabilistic post-earthquake loss measurement for RC framed buildings using crack image analysis
Robust post-earthquake loss measurement is essential in community level for policy makers
and an area of interest for insurance companies at the building level. The seismic loss …
and an area of interest for insurance companies at the building level. The seismic loss …
Multi-feature driven seismic damage state identification for reinforced concrete shear walls using computer vision and machine learning
In this paper, an image-based methodology using machine learning algorithms is developed
for earthquake-induced damage state prediction in rectangular reinforced concrete shear …
for earthquake-induced damage state prediction in rectangular reinforced concrete shear …
Modelling of water sorption hysteresis of cement-based materials based on pore microstructure
L Li, XB Zuo, C Wang, D Cui - Journal of Building Engineering, 2024 - Elsevier
This paper presents a model for predicting water sorption isotherms of cement-based
materials. In this model, hysteresis contributions of interlayer pores and gel/capillary pores …
materials. In this model, hysteresis contributions of interlayer pores and gel/capillary pores …
AI-driven computer vision-based automated repair activity identification for seismically damaged RC columns
Manual visual inspection is the conventional method for post-earthquake damage
assessment, which is unsafe, subjective, and prone to human error. This paper presents an …
assessment, which is unsafe, subjective, and prone to human error. This paper presents an …