LabCompass

Shirley J. Dyke

Engineering · Purdue University West Lafayette

Established · publishing since 1987

Publications

357

Citations

13,734

Est. group size

~22

Recurring co-author estimate

Active years

40

Publishing since 1987

Research summary
AI-generated

Shirley J. Dyke's research centers on structural engineering methods for monitoring, testing, and protecting complex physical systems, including buildings, bridges, and space habitats. Recent work applies structural health monitoring, cyber-physical testing, and machine learning (including autoencoders, reinforcement learning, and large language models) to problems like seismic isolation, damage detection, and autonomous decision-making for deep space and lunar habitats. This work combines traditional structural engineering (vibration control, seismic performance) with newer computational and simulation-based approaches (digital twins, hybrid simulation, virtual testbeds).

Structural health monitoring and damage detectionSeismic isolation and vibration controlCyber-physical and real-time hybrid simulation/testingAutonomous systems and AI for space habitatsResilience assessment of engineered structures

Publication output has remained fairly steady over the last decade, fluctuating between roughly 8 and 24 papers per year without a clear long-term increase or decrease.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 15.6/year recently
2017: 24 publications24172018: 11 publications182019: 19 publications192020: 23 publications202021: 16 publications212022: 17 publications222023: 15 publications232024: 23 publications242025: 15 publications252026: 8 publications26
Recent publications
Publishes in
  • AIAA Journal×10
  • Mechanical Systems and Signal Processing×9
  • arXiv (Cornell University)×8
  • Engineering Structures×7
  • HubZero×6
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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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