LabCompass

David Thomas Iseley

Engineering · Purdue University West Lafayette

OpenAlex
Established · publishing since 1988
Geotechnical Engineering and Underground StructuresTunneling and Rock MechanicsUnderground infrastructure and sustainabilityGeotechnical Engineering and AnalysisWater Systems and Optimization

Publications

21

Citations

288

Est. group size

—

Recurring co-author estimate

Active years

37

Publishing since 1988

Research summary
AI-generated

David Thomas Iseley works in civil and geotechnical engineering, with a focus on underground infrastructure such as pipelines and tunnels, including trenchless (no-dig) repair methods and materials used in construction like asphalt and reinforced concrete. His work covers topics ranging from water system infrastructure condition and repair to sensor technology for monitoring structural health. This research area is relevant to students interested in civil infrastructure maintenance, underground construction techniques, and materials engineering.

Underground infrastructure and trenchless technologyWater and pipeline systemsGeotechnical and tunneling engineeringConstruction materials (asphalt, concrete, fiber reinforcement)Structural health monitoring and sensors

Publication output has been irregular over the last decade, with gaps in several years followed by small clusters of output around 2019 and 2022-2023.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.2/year recently
17182019: 2 publications1920212022: 2 publications222023: 3 publications3232024: 1 publication242526
Recent publications
Publishes in
  • Tunnelling and Underground Space Technology×2
  • Journal of Pipeline Systems Engineering and Practice×2
  • Pipelines 2022×2
  • Construction and Building Materials×1
  • Urban Water Journal×1
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.

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