Academic Journal
Load-Bearing Capacity Analysis of Prestressed Concrete in Bridge Engineering Based on Cracks and Section Loss.
| Τίτλος: | Load-Bearing Capacity Analysis of Prestressed Concrete in Bridge Engineering Based on Cracks and Section Loss. |
|---|---|
| Συγγραφείς: | Pei, Yu, Lyu, Ziyi, Xie, Lijuan, Liu, Shimeng |
| Πηγή: | Jordan Journal of Civil Engineering; 2026, Vol. 20 Issue 1, p64-78, 15p |
| Θεματικοί όροι: | Bearing capacity (Bridges), Prestressed concrete, Bridge design & construction, Deterioration of materials, Structural stability, Edge detection (Image processing), Dependent variables, Crack propagation |
| Abstract (English): | The load-bearing capacity analysis of pre-stressed concrete in bridge engineering is a core technology for structural safety evaluation. It has long faced challenges in insufficient detection accuracy under complex stress environments and low efficiency in multi-source data fusion. Traditional analysis methods rely on a single mechanical model or empirical experience, making it difficult to accurately capture the nonlinear relationship between crack development and load-bearing capacity degradation. Therefore, this study proposes a prestressed concrete load-bearing capacity analysis model based on a dual-threshold edge detection algorithm. Experimental results show that the accuracy of the improved edge detection algorithm reaches a maximum of 89.5% after iteration, with the misdetection rate of bridge cracks under various noise influences being as high as 9%. Evaluation of the fusion analysis model shows that the Mean Square Error (MSE) of its load-bearing capacity is only 0.015 kN·m², and the coefficient of determination R2 is 0.98. These results indicate that the proposed prestressed concrete load-bearing capacity analysis model can effectively improve the prediction accuracy of load-bearing capacity under complex stress environments and accurately capture the nonlinear relationship between crack development and load-bearing capacity degradation. Compared with existing research, the core contributions of this study are reflected in three aspects: 1. A collaborative analysis framework for crack characteristics and section loss was constructed, quantifying the coupling influence mechanism of the two on bearing capacity and breaking through the limitations of traditional single-factor analysis; 2. A prestressed concrete bearing capacity analysis model was proposed. Through algorithms, the core characteristics of crack-section loss were precisely screened, and the problem of dynamic bearing capacity prediction under small samples was solved, filling the technical gap of nonlinear mapping in complex stress environments; 3. The experiment verified the quantitative correlation between crack size and steel bar damage (for every 0.1mm increase in crack width, the steel bar corrosion rate increases by approximately 15%), providing an operational quantitative method for inferring internal structural damage from surface cracks. This study provides a new technical approach for bridge structural safety assessment and contributes to the development of intelligent monitoring and full-life-cycle maintenance technologies for prestressed concrete structures. [ABSTRACT FROM AUTHOR] |
| Abstract (Arabic): | المقال يركز على نموذج جديد لتحليل قدرة التحمل للخرسانة مسبقة الإجهاد في هندسة الجسور، مع معالجة التحديات التي تطرحها الشقوق وفقدان المقطع. تقدم الدراسة خوارزمية كشف حواف ذات عتبتين لتعزيز دقة وكفاءة الكشف في بيئات الضغط المعقدة، محققة دقة قصوى تبلغ 89.5% ومعدل خطأ منخفض يبلغ 9%. النموذج المقترح، الذي يحمل اسم OCPGL، يدمج مجموعة من الخوارزميات، بما في ذلك Otsu-Canny، وتحسين سرب الجسيمات (PSO)، والشبكة التنافسية التوليدية (GAN)، وذاكرة طويلة وقصيرة الأمد (LSTM)، للتنبؤ بشكل فعال بتدهور قدرة التحمل بناءً على العلاقة بين خصائص الشقوق وفقدان المقطع. تظهر النتائج التجريبية دقة التنبؤ الفائقة للنموذج وإمكاناته في تحسين تقييمات سلامة الجسور واستراتيجيات الصيانة. [Extracted from the article] |
| Copyright of Jordan Journal of Civil Engineering is the property of Jordan Journal of Civil Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Load-Bearing Capacity Analysis of Prestressed Concrete in Bridge Engineering Based on Cracks and Section Loss. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pei%2C+Yu%22">Pei, Yu</searchLink><br /><searchLink fieldCode="AR" term="%22Lyu%2C+Ziyi%22">Lyu, Ziyi</searchLink><br /><searchLink fieldCode="AR" term="%22Xie%2C+Lijuan%22">Xie, Lijuan</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Shimeng%22">Liu, Shimeng</searchLink> – Name: TitleSource Label: Source Group: Src Data: Jordan Journal of Civil Engineering; 2026, Vol. 20 Issue 1, p64-78, 15p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Bearing+capacity+%28Bridges%29%22">Bearing capacity (Bridges)</searchLink><br /><searchLink fieldCode="DE" term="%22Prestressed+concrete%22">Prestressed concrete</searchLink><br /><searchLink fieldCode="DE" term="%22Bridge+design+%26+construction%22">Bridge design & construction</searchLink><br /><searchLink fieldCode="DE" term="%22Deterioration+of+materials%22">Deterioration of materials</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+stability%22">Structural stability</searchLink><br /><searchLink fieldCode="DE" term="%22Edge+detection+%28Image+processing%29%22">Edge detection (Image processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Dependent+variables%22">Dependent variables</searchLink><br /><searchLink fieldCode="DE" term="%22Crack+propagation%22">Crack propagation</searchLink> – Name: AbstractNonEng Label: Abstract (English) Group: Ab Data: The load-bearing capacity analysis of pre-stressed concrete in bridge engineering is a core technology for structural safety evaluation. It has long faced challenges in insufficient detection accuracy under complex stress environments and low efficiency in multi-source data fusion. Traditional analysis methods rely on a single mechanical model or empirical experience, making it difficult to accurately capture the nonlinear relationship between crack development and load-bearing capacity degradation. Therefore, this study proposes a prestressed concrete load-bearing capacity analysis model based on a dual-threshold edge detection algorithm. Experimental results show that the accuracy of the improved edge detection algorithm reaches a maximum of 89.5% after iteration, with the misdetection rate of bridge cracks under various noise influences being as high as 9%. Evaluation of the fusion analysis model shows that the Mean Square Error (MSE) of its load-bearing capacity is only 0.015 kN·m², and the coefficient of determination R2 is 0.98. These results indicate that the proposed prestressed concrete load-bearing capacity analysis model can effectively improve the prediction accuracy of load-bearing capacity under complex stress environments and accurately capture the nonlinear relationship between crack development and load-bearing capacity degradation. Compared with existing research, the core contributions of this study are reflected in three aspects: 1. A collaborative analysis framework for crack characteristics and section loss was constructed, quantifying the coupling influence mechanism of the two on bearing capacity and breaking through the limitations of traditional single-factor analysis; 2. A prestressed concrete bearing capacity analysis model was proposed. Through algorithms, the core characteristics of crack-section loss were precisely screened, and the problem of dynamic bearing capacity prediction under small samples was solved, filling the technical gap of nonlinear mapping in complex stress environments; 3. The experiment verified the quantitative correlation between crack size and steel bar damage (for every 0.1mm increase in crack width, the steel bar corrosion rate increases by approximately 15%), providing an operational quantitative method for inferring internal structural damage from surface cracks. This study provides a new technical approach for bridge structural safety assessment and contributes to the development of intelligent monitoring and full-life-cycle maintenance technologies for prestressed concrete structures. [ABSTRACT FROM AUTHOR] – Name: AbstractNonEng Label: Abstract (Arabic) Group: Ab Data: المقال يركز على نموذج جديد لتحليل قدرة التحمل للخرسانة مسبقة الإجهاد في هندسة الجسور، مع معالجة التحديات التي تطرحها الشقوق وفقدان المقطع. تقدم الدراسة خوارزمية كشف حواف ذات عتبتين لتعزيز دقة وكفاءة الكشف في بيئات الضغط المعقدة، محققة دقة قصوى تبلغ 89.5% ومعدل خطأ منخفض يبلغ 9%. النموذج المقترح، الذي يحمل اسم OCPGL، يدمج مجموعة من الخوارزميات، بما في ذلك Otsu-Canny، وتحسين سرب الجسيمات (PSO)، والشبكة التنافسية التوليدية (GAN)، وذاكرة طويلة وقصيرة الأمد (LSTM)، للتنبؤ بشكل فعال بتدهور قدرة التحمل بناءً على العلاقة بين خصائص الشقوق وفقدان المقطع. تظهر النتائج التجريبية دقة التنبؤ الفائقة للنموذج وإمكاناته في تحسين تقييمات سلامة الجسور واستراتيجيات الصيانة. [Extracted from the article] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Jordan Journal of Civil Engineering is the property of Jordan Journal of Civil Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.14525/JJCE.v20i1.06 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 64 Subjects: – SubjectFull: Bearing capacity (Bridges) Type: general – SubjectFull: Prestressed concrete Type: general – SubjectFull: Bridge design & construction Type: general – SubjectFull: Deterioration of materials Type: general – SubjectFull: Structural stability Type: general – SubjectFull: Edge detection (Image processing) Type: general – SubjectFull: Dependent variables Type: general – SubjectFull: Crack propagation Type: general Titles: – TitleFull: Load-Bearing Capacity Analysis of Prestressed Concrete in Bridge Engineering Based on Cracks and Section Loss. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pei, Yu – PersonEntity: Name: NameFull: Lyu, Ziyi – PersonEntity: Name: NameFull: Xie, Lijuan – PersonEntity: Name: NameFull: Liu, Shimeng IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19930461 Numbering: – Type: volume Value: 20 – Type: issue Value: 1 Titles: – TitleFull: Jordan Journal of Civil Engineering Type: main |
| ResultId | 1 |