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Related Concept Videos

Microcracking in Concrete01:20

Microcracking in Concrete

437
Microcracking in concrete refers to the tiny cracks that can form within the material even before any external load is applied. These microcracks typically occur at the interface between the coarse aggregate and the hydrated cement paste, often as a result of differential volume changes prompted by variations in stress-strain behavior, as well as thermal and moisture movement. Initially, these microcracks remain stable and do not grow substantially until the concrete is stressed to about 30...
437
Design Example: Joints in Concrete Pavements01:28

Design Example: Joints in Concrete Pavements

486
Concrete pavement joints are essential for maintaining the structural integrity and longevity of pavement by controlling where and how the pavement cracks. These joints can be categorized based on their functions, such as contraction or control joints, construction joints, isolation joints, and expansion joints.
Contraction joints are typically formed by sawing a groove into the concrete shortly after it has hardened. This creates a weakened vertical plane, deliberately encouraging cracking at...
486
Aggregates Classification01:29

Aggregates Classification

970
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
970
Abrasion Resistance of Concrete01:23

Abrasion Resistance of Concrete

522
Abrasion resistance is an essential characteristic of concrete that determines its durability and longevity under various wear conditions. Concrete surfaces are vulnerable to different types of abrasion. For instance, surfaces may wear down due to the constant movement of vehicles or be eroded by solids carried in water, as seen in concrete canal linings. Specific tests are conducted to measure the abrasion resistance of concrete.
One such test is the revolving disc test, where three plates...
522
Frost Action on Concrete01:27

Frost Action on Concrete

400
Concrete structures in cold climates, such as those along roadsides, can retain moisture. This moisture makes them susceptible to frost-related damage when temperatures fall below freezing. Adding moisture worsens the damage during temperature fluctuations, leading to repeated freezing and thawing. De-icing salts, spread over these structures to melt ice, add to the freeze-thaw cycle, and draw even more moisture into the concrete.
This freeze-thaw cycle primarily causes surface scaling, where...
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Masonry Paving01:21

Masonry Paving

489
The construction of masonry paving involves using materials such as bricks, stones, and concrete masonry units. These materials are chosen for their shape, color, strength, and resistance to abrasion and weathering. Masonry units can be installed dry on a thin layer of sand and a gravel base, or they can be embedded in mortar or asphalt on a concrete slab. For areas subjected to heavy vehicular loads, a rigid base layer of reinforced or unreinforced concrete is recommended. In contrast,...
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MDEM: A Multi-Scale Damage Enhancement MambaOut for Pavement Damage Classification.

Shizheng Zhang1, Kunpeng Wang1, Pu Li1

  • 1Software Engineering College, Zhengzhou University of Light Industry, 136 Science Avenue, Zhengzhou 450000, China.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
Summary
This summary is machine-generated.

A new pavement damage classification model, Multi-scale Damage Enhancement MambaOut (MDEM), improves road maintenance by accurately identifying various damage types, even with background noise.

Keywords:
MambaOutdetail enhancementmulti-scale feature fusionpavement damage classification

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Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Road Engineering

Background:

  • Accurate pavement damage classification is vital for road maintenance and driving safety.
  • Traditional methods face challenges due to varying damage scales, irregular shapes, small area ratios, and background noise.

Purpose of the Study:

  • To develop a novel pavement damage classification model, Multi-scale Damage Enhancement MambaOut (MDEM), to overcome limitations of existing methods.
  • To enhance the accuracy and robustness of pavement damage recognition in complex real-world conditions.

Main Methods:

  • Introduced the Multi-scale Damage Enhancement MambaOut (MDEM) model, incorporating Multi-scale Dynamic Feature Fusion Block (MDFF) and Damage Detail Enhancement Block (DDE).
  • MDFF adaptively integrates multi-scale information for enhanced feature extraction, distinguishing cracks at different scales.
  • DDE emphasizes fine structural details and suppresses background noise for improved small-scale damage representation.

Main Results:

  • MDEM achieved superior performance on multiple datasets (CQU-BPMDD, CQU-BPDD, Crack500-PDD).
  • On the CQU-BPMDD dataset, MDEM improved accuracy by 2.01%, precision by 2.64%, F1-score by 2.7%, and AUC by 4.2% compared to the baseline.
  • MDEM significantly outperformed MambaOut and other comparable methods in pavement damage classification.

Conclusions:

  • The MDEM model effectively addresses challenges in pavement damage classification, including scale variation, irregular shapes, small areas, and background noise.
  • MDEM offers enhanced inspection accuracy for real-world road maintenance applications.
  • The proposed model represents a significant advancement in automated pavement condition assessment.