Scopes
Including but not limited to the following contents:
Track 1: Concrete Materials and Properties
Advanced cement-based materials and composite materials
Ultra-high Performance Concrete (UHPC)
Fiber-reinforced concrete and interface behavior
Low-carbon cementitious materials and geopolymers
Recycled aggregates and waste resource utilization
Concrete microstructure and hydration mechanism
Durability and extreme environment performance
Self-repair and intelligent concrete
3D printing concrete and digital construction
Multiscale characterization of concrete materials
Track 2: Intelligent Modeling and Data-driven Methods
Machine learning for concrete performance prediction
Deep learning for material ratio optimization
AI-assisted hydration and microstructure evolution modeling
Molecular dynamics and atomic-scale simulation
Multiscale computational modeling framework
Proxy models and reduced-order modeling
Physical Information Neural Network (PINN)
Concrete structure digital twin
Uncertainty quantification and reliability analysis
Generative AI material design
Track 3: Structural Monitoring and Intelligent Evaluation
Concrete structure health monitoring
Crack detection and damage identification
Non-destructive testing and signal processing
Computer vision defect analysis
AI-driven durability assessment
Life cycle assessment and predictive maintenance
Infrastructure intelligent operation and maintenance
Sensors and real-time monitoring technology
Concrete structure performance degradation modeling
Data-driven structural safety assessment
Track 1: Concrete Materials and Properties
Advanced cement-based materials and composite materials
Ultra-high Performance Concrete (UHPC)
Fiber-reinforced concrete and interface behavior
Low-carbon cementitious materials and geopolymers
Recycled aggregates and waste resource utilization
Concrete microstructure and hydration mechanism
Durability and extreme environment performance
Self-repair and intelligent concrete
3D printing concrete and digital construction
Multiscale characterization of concrete materials
Track 2: Intelligent Modeling and Data-driven Methods
Machine learning for concrete performance prediction
Deep learning for material ratio optimization
AI-assisted hydration and microstructure evolution modeling
Molecular dynamics and atomic-scale simulation
Multiscale computational modeling framework
Proxy models and reduced-order modeling
Physical Information Neural Network (PINN)
Concrete structure digital twin
Uncertainty quantification and reliability analysis
Generative AI material design
Track 3: Structural Monitoring and Intelligent Evaluation
Concrete structure health monitoring
Crack detection and damage identification
Non-destructive testing and signal processing
Computer vision defect analysis
AI-driven durability assessment
Life cycle assessment and predictive maintenance
Infrastructure intelligent operation and maintenance
Sensors and real-time monitoring technology
Concrete structure performance degradation modeling
Data-driven structural safety assessment
Important Dates | 重要日期
- Submission Deadline: November 10th, 2026
- Registration Deadline: November 20th, 2026
- Conference Date: November 29th, 2026
- Notification Date: About a week after the submission
Submission Portal | 投稿方式
Mail Address: submit-ic@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
肖老师
17172888836
3770887106
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