LabCompass

Dianyun Zhang

Engineering · Purdue University West Lafayette

Mid career · publishing since 2009Rising activity

Publications

85

Citations

1,324

Est. group size

~2

Recurring co-author estimate

Active years

17

Publishing since 2009

Research summary
AI-generated

Dianyun Zhang works on composite materials engineering, focusing on how these materials are manufactured, how defects form during manufacturing, and how they behave and fail under mechanical loads. This includes developing computer simulations and mathematical models to predict processes like resin infusion, fiber placement, curing, and fabric draping, as well as models for damage and failure in composite structures such as ceramic matrix composites and woven textile composites. The work combines experimental testing with numerical modeling to help improve manufacturing techniques and predict material performance.

Composite material manufacturing processesProgressive damage and failure modelingMultiscale and multiphysics simulationFabric and textile composite mechanicsProcess modeling (curing, resin infusion, fiber placement)

Publication output has fluctuated over the last decade, peaking in 2018, dipping around 2020-2021, and showing a modest, relatively steady output of about 5-10 papers per year since 2022.

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

Publication cadence
Publications per year over the last 10 years — averaging 5.6/year recently
2017: 7 publications172018: 17 publications17182019: 9 publications192020: 4 publications202021: 4 publications212022: 8 publications222023: 10 publications232024: 5 publications242025: 5 publications2526
Recent publications
Publishes in
  • 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference×5
  • Composite Structures×4
  • Computational Materials Science×3
  • AIAA SCITECH 2023 Forum×3
  • Bulletin of the American Physical Society×3
Similar researchers
By research-topic overlap

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