Wood, a time-honored construction material prized for its exceptional properties, has been in
use for millennia. Its enduring popularity is attributed to its remarkable strength, aesthetic …

In this paper, we present a comparison of performance for different convolutional neural
networks (CNN) for automatic classification of corrosion and coating damages on bridge …

Throughout the life cycle of civil assets, construction, operation and maintenance phases
require monitoring to assure reasonable decision makings. Current methods always involve …

We propose a novel pipeline for structural damage detection on surfaces of complex
heritage structures using visual 2 D and 3 D data. We use deep learning and computer …

In the era of the first Industrial Revolution, many buildings were built with red bricks, and the
heritage buildings built at that time are more than 100 years old. In these old heritage …

Information on the location of cracks in concrete structures is an important factor enabling
appropriate maintenance or reinforcement measures to be taken. Most studies related to …

Masonry structures dominate cultural heritage sites worldwide. Public authorities ought to
preserve and safeguard such structures for future generations. However, precise evaluation …

Manual visual inspection is customarily used to identify and evaluate service status of
bridges. However, current procedures followed by human inspectors demand long …

The greatest factor that threatens the integrity of stone monuments, which are the shared
heritage of humanity, is the effects of weathering. This process causes different forms and …

Under seismic actions, stone masonry buildings are prone to damage. To assess the
severity of damaged masonry buildings and their failure modes, engineers connect these …