The crack classification in the rupture process of filling materials is important for predicting
rupture instability and identifying rupture precursor features. To investigate fiber-reinforced …

Purpose This paper covers the development of a novel defect model for concrete highway
bridges. The proposed defect model is intended to facilitate the identification of bridge's …

Reliable methods for detecting pixels that represent cracks from laboratory images taken for
digital image correlation (DIC) are required for two main reasons. Firstly, the segmented …

The structure and the development degree of a cracking pattern has a key impact on the
durability of cement composites. This literature review focuses on the four most important …

After a significant earthquake, the updated status of the structural elements is usually
determined based on a qualitative visual inspection. Although visual inspection provides a …

The seismic peak interstory drift ratio (IDR) of RC columns following an earthquake is
measured in this paper through surface crack image analysis. The succolarity, lacunarity …

This paper proposes a damage assessment framework based on the visual features of a
damaged reinforced concrete shear wall, such as crack pattern distribution, crushing areal …

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 …

Crack occurrence and propagation are among the critical factors that affect the performance
and lifespan of civil infrastructure such as bridges, buildings, etc. Therefore, numerous crack …

Conventionally, the assessment of reinforced concrete shear walls relies on manual visual
assessment which is time-consuming and depends heavily on the skills of the inspectors …