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01:20Microcracking in Concrete
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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...
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01:28Types of Non-structural Cracks in Concrete
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Non-structural cracks are primarily of three types: plastic, early-age thermal, and drying shrinkage cracks. Plastic cracks are further classified into plastic shrinkage cracks and plastic settlement cracks.
Plastic shrinkage cracks typically form within hours after the concrete is poured. The concrete's surface dries faster than the bottom, creating tensile stress that the still-plastic concrete cannot withstand, leading to diagonal or randomly patterned cracks on the concrete surface.
Plastic shrinkage cracks typically form within hours after the concrete is poured. The concrete's surface dries faster than the bottom, creating tensile stress that the still-plastic concrete cannot withstand, leading to diagonal or randomly patterned cracks on the concrete surface.
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01:05Difference from Background: Limit of Detection
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The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
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01:20Structural Classification of Joints
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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
A fibrous joint is where the adjacent bones are united by fibrous connective...
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01:15Elastic Collisions: Case Study
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Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
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01:10Detection of Black Holes
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Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
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騒々しく,形態学的に複雑な環境における道路の亀裂をリアルタイムで検出するフレームワーク.
Luxin Fan1, SaiHong Tang2, Mohd Khairol Anuar B Mohd Ariffin3
1Faculty of Engineering, Universiti Putra Malaysia UPM, Serdang, 43400, Selangor, Malaysia. gs59924@student.upm.edu.my.
Scientific reports
|February 20, 2026
まとめ
この研究は,インテリジェントインフラストラクチャのメンテナンスのための高速で正確な道路亀裂検出システムであるCrack-YOLOを紹介しています. この軽量モデルは,複雑な環境での検出性能を大幅に改善し,既存の方法よりも性能が優れています.
科学分野:
- コンピュータビジョン コンピュータビジョン
- 人工知能 (AI) とは,人工知能 (AI) のことです.
- 土木工学 土木工学とは
背景:
- 自動道路障害検知は,インテリジェントな交通インフラ整備に不可欠です.
- 既存のオブジェクト検出モデルは,遅い推論速度と低精度で,特に影,油汚れ,遮蔽などの複雑な環境で苦労しています.
- 現在のモデルでは,困難な自然条件下での検出精度は急激に低下しています.
研究 の 目的:
- Crack-YOLOと呼ばれる軽量で高精度な道路亀裂検出フレームワークを提案する.
- 既存の道路欠陥検出システムの遅い速度と低精度の制限に対処するために.
- 複雑な環境条件下での検出性能を向上させるため.
主な方法:
- YOLOv8s.をベースにした新しいフレームワークであるCrack-YOLOを開発しました.
- オリジナルのコンヴォルションモジュールは,コンテキスト・ガイデッド (CG) モジュールに置き換えられました.
- C2f_DynamicConvを実装し,静的コンボリューションカーネルを代替しました.
- オリジナルの検出ヘッドを置き換えるアダプティブ・スペース・フィーチャー・フュージョン (ASFF) ヘッドが導入されました.
主要な成果:
- Crack-YOLOは,4つのデータセット (CrackVariety,CrackTree200,Crack500,CFD) で,YOLOv8と比較して優れた検出速度と精度を実証しました.
- CrackVarietyのデータセットで71.4%mAP@0.5を達成し,416FPSの推論速度を達成しました.
- 精度が31.0%向上し,速度がベースラインのYOLOv8sモデルと比較してほぼ2倍に増加しました.
- Raspberry Pi 5のエッジデバイスで,リアルタイムの舗装状態指数 (PCI) 計算を成功裏に展開しました.
結論:
- Crack-YOLOは,リソースが限られたエッジデバイスでも,効率的かつ正確な道路欠陥検出のための実用的なソリューションを提供します.
- フレームワークが複雑な環境でも高いパフォーマンスを維持する能力は,インテリジェントな交通インフラストラクチャのメンテナンスにおける重要な進歩を示しています.
- ASTM D6433のような規格との統合により,PCIの自動計算が可能になり,現実世界の適用性を実証しています.