LabCompass

Chengcheng Tao

Engineering · Purdue University West Lafayette

Mid career · publishing since 2010Rising activity

Publications

92

Citations

703

Est. group size

~9

Recurring co-author estimate

Active years

17

Publishing since 2010

Research summary
AI-generated

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.

Structural health monitoring and digital twinsMachine learning for infrastructure damage detectionCement, drilling fluid, and pipeline engineeringAdvanced materials for corrosion and structural resiliencePhysics-informed and data-driven simulation methods

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

Publication cadence
Publications per year over the last 10 years — averaging 13.0/year recently
2017: 2 publications172018: 1 publication182019: 2 publications192020: 16 publications202021: 2 publications212022: 2 publications222023: 16 publications232024: 12 publications242025: 27 publications27252026: 8 publications26
Recent publications
Publishes in
  • Figshare×7
  • SSRN Electronic Journal×5
  • Energies×3
  • Construction and Building Materials×2
  • Energy×2
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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.

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