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Luc J. Huyse
Principal Engineer
Email: lhuyse@swri.org
Phone: (210) 522-2931
Fax: (210) 522-6965
Ir. (B.Sc.), Civil Engineering
Catholic University at Leuven, Belgium, 1991
Kand. Ir. (B.S.), Applied Science
Catholic University at Leuven, Belgium, 1988
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Dr. Huyse's expertise lies in the field of engineering risk analysis and reliability-based optimal design. His research includes the development of stochastic data models and quantitative risk assessment techniques as well as the study of the effects of model uncertainties. His principal areas of interest include engineering mechanics and, more specifically, risk analysis and structural reliability.
The practical applications of his research are found and published in a wide variety of fields: structural damage assessment of historic masonry and modern concrete structures, extreme value analysis, development of risk-based design criteria in offshore mechanics, multi-scale random field modeling of materials and applications thereof using the stochastic finite element method, aerodynamic airfoil shape-optimization under uncertainty as well as probabilistic fatigue and fracture.
Dr. Huyse currently leads an internal research project to efficiently solve stochastic differential equations. He recently led another internal R&D effort in which he developed a probabilistic approach for treating epistemic uncertainties. These arise when only expert opinion or little to no experimental data are available. The new probabilistic approach he developed efficiently computes the confidence bounds of model predictions. The method can also compute the effect additional information is likely to have and thereby helps to optimally allocate resources.
Dr. Huyse performs probabilistic modeling of random stress histories and fatigue property uncertainties in ongoing work for various automotive and aerospace clients and was involved in two critical return-to-flight risk assessment studies for the Space Shuttle. He is also a key developer of the DARWIN® and NESSUS® software, both winners of an R&D 100 Award. DARWIN® predicts the fracture of aircraft turbine rotor disks. In this software he implemented efficient, highly accurate probabilistic and stress-processing methods. NESSUS® is a general-purpose reliability software that interfaces with many commercial engineering software packages. In this software he is currently implementing a tool to integrate expert opinion in probabilistic risk assessment.
Dr. Huyse has authored more than 40 scholarly publications and is a regular reviewer for several international research journals. He also serves on the Probabilistic Methods Committee of the American Society of Civil Engineers (ASCE).
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Professional Chronology
Catholic University of Leuven, Belgium, Dept. of Civil Engineering: teaching assistant, 1991-4; KU Leuven Research & Development, Belgium: project engineer, 1993-4; University of Calgary, Canada, Dept. of Civil Engineering: research assistant, 1994-9; Faculty of Engineering: instructor (lector), 1999; ICASE, NASA Langley Research Center, VA: staff scientist, 1999-2001; Southwest Research Institute: 2001-[research engineer, 2001-3; senior research engineer, 2003-6; principal engineer, 2006-present].
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Honors & Awards
Group Achievement Award, NASA Engineering and Safety Center; Bruce M. Irons Memorial Scholarship, University of Calgary.
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Memberships
American Society of Civil Engineers - Committee on Probabilistic Methods, American Institute of Aeronautics and Astronautics
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Publications/Presentations
2008
Huyse, L.J., K.J. Smart, C.J. Waldhart, D.S. Riha, B.J. Bichon, A.P. Morris, and D.A. Ferrill. Quantification of Uncertainty in Reservoir-Scale Extensional Fault-Propagation Folds, Part 2: Probabilistic Modeling Results.
Presented at the American Association of Petroleum Geologists Annual Meeting, April 20-23, San Antonio, Texas, 2008.
Riha, D.S., B.H. Thacker, L.J. Huyse, M.P. Enright, C.J. Waldhart, W.L. Francis, D.P. Nicolella, S.J. Hudak Jr., W. Liang, and S.K. Fitch. Applications of Reliability Assessment for Aerospace, Automotive, Bioengineering, and Weapons Systems.
Smart, K.J., L.J. Huyse, A.P. Morris, D.A. Ferrill, D.S. Riha, and C.J. Waldhart. Quantification of Uncertainty in Reservoir-Scale Extensional Fault-Propagation Folds, Part 1: Finite Element Modeling Results.
Presented at the American Association of Petroleum Geologists Annual Meeting, April 20-23, San Antonio, Texas, 2008.
2007
Huyse, L.J. and A. Van Roodselaar. Inspection of Unpiggable Pipelines.
Presented at the Chevron Operational Excellence Forum, Houston, Texas, March 2007.
Huyse, L.J., C.J. Waldhart, D.S. Riha, B.H. Thacker, C.E. Larsen, R.J. Gomez, and P.C. Stuart. Space Shuttle Debris Impact Assessment: Probabilistic Analysis and Model Verification and Validation.
Presented at the 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Waikiki, HI, USA, 2007.
[Proceedings]
View All Publications
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Recent Projects
Turbine Rotor Material Design
Develop a probabilistic-based damage tolerance design code to augment the current safe-life philosophy for life management of commercial aircraft gas turbine rotors and disks.
Probabilistic Assessment of Space Shuttle Debris Transport and Impact
Probabilistic assessment of the impact and damage to the space shuttle thermal protection system components.
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Contact Information |
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Carl F. Popelar, Ph.D.
Mechanics and Materials
(210) 522-4213
cpopelar@swri.org |
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Related Terminology |
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probabilistic analysis
reliability analysis
uncertainty quantification
life prediction
materials integrity
risk of failure
risk assessment
biomechanics
biomaterials
NESSUS
DARWIN
NASGRO
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