Research
Grants
Listed below are the grants that individual faculty members have been awarded by a particular group. If you would like to contact a particular faculty member about his/her research, please click on the faculty member’s name and it will take you to their homepage with their contact information.
Dr. William R. Burkett
- Study of Elastomeric Bearings for Super−Elevated U−Beam Bridges
- Amount: $225,272
- Grantor: Texas Department of Transportation (TXDOT)
- Year: 2007−2008
- Role: Co−Principal Investigator
- Rapid Bridge Replacement, Refugio County
- Amount: $35,000
- Grantor: Texas Department of Transportation (TXDOT)
- Year: 2004−2005
- Role: Research Supervisor & Principal Investigator
- Construction Tolerances for T−Base Foundations (Inter−agency Cooperation Contract)
- Amount: $13,000
- Grantor: Texas Department of Transportation (TXDOT)
- Year: 2004−2005
- Role: Research Supervisor & Principal Investigator
- Rapid Bridge Replacement Techniques
- Amount: $181,650
- Grantor: Texas Department of Transportation (TXDOT)
- Year: 2002−2003
- Role: Research Supervisor & Co−Principal Investigator
Dr. Daan Liang
- Hyperspectral Imagery: A New Frontier for Windstorm Damage Assessment
- Grantor: National Science Foundation
- Role: Co−Principal Investigator
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Summary: The objective of this research is to investigate the capability and application of hyperspectral imaging
technology to provide accurate and quick identification and quantification of building damage. Compared to optical and
multispectral sensors, hyperspectral sensors can acquire simultaneous earth images in more than 200 narrow and often
contiguous spectral bands through the ultraviolet, visible and infrared portions of the electromagnetic spectrum. To
achieve this objective, the suitability of hyperspectral images to differentiate object classes and to assess the damage
severity based on observed spectral changes will be determined. Furthermore, hyperspectral bands sensing capability will
be evaluated in the presence of various forms and degrees of cloud cover. The outcomes are expected to:
- Expand the body of knowledge in using remotely−sensed data for damage detection and quantification.
- Improve our understanding of the progression of wind hazards and their multi−faceted effects on built environment.
- Provide abundant high−quality data, much needed to calibrate and validate risk models for insurers and public agencies.