- Ph.D., University of Texas at Austin, Austin, TX (2000)
- M.S.E., University of Texas at Austin, Austin, TX (1997)
- B.S., California Polytechnic State University, San Luis Obispo, CA (1991)
Dr. Ziehl oversees and maintains an active research program in the areas of structural
prognostics, nondestructive evaluation, in-situ load testing, repair and strengthening,
composite materials, and prestressed/reinforced concrete structures. His research team
is carrying out several projects including: 1) Wireless, Self-Powered Monitoring for Structural
Prognosis of Steel and Reinforced Concrete Structures; 2) Damage Identification Algorithms for Carbon
Fiber Reinforced Materials; and 3) Evaluation Criteria for In-situ Load Testing.
Professor Ziehl works closely with four PhD students (Marwa Abdelrahman, Jese Mangual, Rafal Anay, and Lateef Assi),
one post-doctoral researcher (Mohamed ElBatanouny) and several faculty members within and outside the
department. Recent PhD graduates are working in academia, forensics, or design and analysis with an emphasis
on nuclear structures. Dr. Ziehl has openings in his group for PhD students with an interest in structural prognostics,
prestressed concrete analysis and design, and development of damage identification algorithms.
Abdelrahman, M., ElBatanouny, M., and Ziehl, P., (2014), "Acoustic Emission Based Damage Assessment Method for Prestressed Concrete Structures", Engineering Structures, Vol. 60, pp. 258 - 264.
ElBatanouny, M., Larosche, A., Mazzoleni, P., Ziehl, P., Matta, F., and Zappa, E., (2014), "Identification of Cracking Mechanisms in Scaled FRP Reinforced Concrete Beams using Acoustic Emission", Journal of Experimental Mechanics, Vol. 54, Issue 1, pp. 69-82.
Aich, N., Apalla, A., Saleh, N., and Ziehl, P., (2013), "Triboluminescence for Distributed Damage Assessment in Cement Based Materials", Journal of Intelligent Material Systems and Structures, Volume 24, No 14, September 2013.
Mangual, J., ElBatanouny, M.K., Ziehl, P., and Matta, F. (2013). "Corrosion Damage Quantification of Prestressing Strands Using Acoustic Emission", ASCE Journal of Materials in Civil Engineering, Vol. 25, No. 9, pp. 1326-1334.
Yu, J., Ziehl, P., Zarate, B., and Caicedo, J., (2011), "Prediction of Fatigue Crack Growth in Steel Bridge Components using Acoustic Emission", Journal of Constructional Steel Research, Vol. 67, No. 11, pp. 1254-1260.