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Development of a Dedicated Web System for Field Quality Control using the Maturity Method of Rapid-Setting Concrete KCI 등재
속경성 콘크리트 성숙도를 활용한 현장 품질관리 전용 WEB 개발
- 언어ENG
- URLhttps://db.koreascholar.com/Article/Detail/452013
pp.1-11
Recently, increasing traffic volumes and growing user expectations for expressways in Korea have increased the demand for highperformance bridge deck pavement systems. Rapid-setting concrete has been widely adopted for bridge deck pavement repair because of its high durability and early strength development, enabling rapid traffic reopening. However, its strength development is highly sensitive to the curing conditions, making reliable on-site quality control essential. Conventional quality control based on molded specimen testing has limitations in representing the actual curing conditions of repaired pavements. In this study, a surface-temperature-based maturity model and an IT-based web quality management system were used for bridge deck pavement repair using rapid-setting concrete. Laboratory experiments were conducted under various ambient temperature conditions to establish the relationship between the surface temperature and the compressive strength. A machine-learning-based isolation forest was applied for outlier detection during data preprocessing. Polynomial regression analysis was subsequently performed to develop and validate the maturity prediction models, and a web-based quality management system integrated with an infrared thermographic camera was implemented to estimate the in-place concrete strength in real time. The proposed system provides rapid, objective, and representative quality control compared with conventional specimen-based methods. The developed maturity model and web system have the potential to improve field quality management and support reliable decision-making regarding traffic reopening after bridge deck pavement repair.
1. Introduction
1.1 Overview of the Study
1.2 Limitations of Conventional Quality Control
1.3 Objective of the Study
1.4 Maturity of Concrete
1.5 Surface Temperature-Based Field QualityControl
2. Experimental Program
2.1 Materials
2.2 Experimental Conditions and Variable Selection
2.3 Experimental Results
3. Development of a Strength Prediction ModelBased on Maturity
3.1 Data Acquisition and Processing
3.2 Polynomial Regression Analysis and Derivationof the Maturity Relationship Equation
3.3 Development of an Integrated Maturity Model
4. Development of an IT-Based Web Systemfor Field Quality Control
4.1 System Configuration
4.2 Evaluation of Field Applicability
5. Conclusion
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