Chengcheng Tao
Engineering · Purdue University West Lafayette
Publications
92
Citations
703
Est. group size
~9
Recurring co-author estimate
Active years
17
Publishing since 2010
Chengcheng Tao's research centers on monitoring and predicting the health of civil infrastructure such as pipelines, bridges, and concrete structures, using tools like digital twins (virtual, data-driven replicas of physical systems), sensors, and machine learning. Recent work also branches into materials for infrastructure resilience (ceramics, coatings, cement) and computational modeling of industrial processes like cement kilns and oil well drilling. The work combines structural engineering, artificial intelligence, and fluid/materials modeling to improve safety and maintenance of large-scale infrastructure and energy systems.
Publication output has grown substantially over the last decade, rising from just a few papers per year before 2020 to around 13 per year on average over the past five years, with 2025 showing the highest activity so far.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A digital twin framework for damage detection and localization of self-sensed cured-in-place underground pipelines
Engineering Structures · 2026
- An intelligent design of distributed sensor networks for digital twin-based infrastructure monitoring
Structural Health Monitoring · 2026
- UNet-based Buckling Deformation Reconstruction from Strain Distributions and Knowledge Distillation
SSRN Electronic Journal · 2026
- Multiphysics modeling of thermochemical process in cement rotary kiln via computational fluid dynamics-discrete phase model and physics-informed neural network
Energy · 2026
- Buckling deformation reconstruction from strain distributions via U-shaped networks and knowledge distillation
Engineering Applications of Artificial Intelligence · 2026
- THREE-DIMENSIONAL TRANSIENT SIMULATION OF MULTIREACTION PROCESSES IN A CEMENT KILN USING COMPUTATIONAL FLUID DYNAMICS AND DISCRETE PHASE MODEL
2026
- In-situ ceramic nanoparticle assembly within wood microstructure for strong, tough, and resilient ceramic wood
Nature Communications · 2026
- A digital twin integrated smart-liner for visualization monitoring of oil and gas pipeline infrastructure
Applied Energy · 2025
- Tailoring and unveiling the stable solvent structure dependence of interfacial chemistry for extremely high-temperature lithium metal batteries
Journal of Energy Chemistry · 2025
- Experimental and multi-scale simulation evaluation of nanoclay/nanosilica epoxy coatings for enhanced corrosion protection of structural steel
Corrosion Science · 2025
- Dual-Purpose smart liner system for oil and gas pipelines: Digital twin-enabled rapid monitoring during strike events
Energy · 2025
- Reinforcement response prediction of composite‐concrete beams with crack patterns and deep learning
Computer-Aided Civil and Infrastructure Engineering · 2025
- MXene materials: developments and sensor applications in modern infrastructure
Journal of Materials Science · 2025
- Integration of Finite Element Analysis and Machine Learning for Assessing the Spatial-Temporal Conditions of Reinforced Concrete
Buildings · 2025
- A Physics-Informed Neural Network Solution for Rheological Modeling of Cement Slurries
Fluids · 2025
- Figshare×7
- SSRN Electronic Journal×5
- Energies×3
- Construction and Building Materials×2
- Energy×2
- Hongfang Lü
Engineering · Purdue University West Lafayette
- Tom Iseley
Engineering · Purdue University West Lafayette
- Dulcy M. Abraham
Engineering · Purdue University West Lafayette
- Jon Fricker
Engineering · Purdue University West Lafayette
- Dennis Harwig
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile