Sankaran Mahadevan

Professor of Civil and Environmental Engineering
Professor of Mechanical Engineering
Director, NSF-IGERT Multidisciplinary Doctoral Studies in Reliability and Risk Engineering and Management


Office: Room Room 272, Jacobs Hall, Jacobs Hall
Address:

Vanderbilt University
VU Station B-35 1831
Nashville, TN 37235-1831

Phone: 615-322-3040
Fax: 615/322-3365
Email: sankaran.mahadevan@vanderbilt.edu
Homepage: www.vuse.vanderbilt.edu/~mahas1/persinfo.htm
 
 
      Professor Mahadevan has been in the forefront of structural reliability research during the past 15 years, and his work covers both basic and applied research topics. In basic research, he has made significant contributions to analytical reliability methods, adaptive simulation methods, system reliability analysis, probabilistic finite element analysis, time-dependent reliability, and reliability-based optimization. In applied research, he has developed reliability methods for propulsion engine structures, fatigue life of composite structures, aging aircraft under corrosion, fatigue, creep, and multiple site damage, stress voiding and corrosion of aging electronics, seismic vulnerability of hydraulic structures, and contaminated sediment transport risk assessment. His current research efforts are focused on risk allocation in space vehicle conceptual design, Bayesian techniques for model uncertainty quantification, verification and validation, corrosion integrity of nuclear waste disposal structures, and automotive structures reliability and design optimization. He is the P.I. and Director of the multidisciplinary doctoral program in Reliability and Risk Engineering and Management, funded by a five-year NSF grant under the IGERT (Integrative Graduate Education Research and Training) program.

Education:

Ph.D: Georgia Institute of Technology, Atlanta, GA. (1988
M.S: Rensselaer Polytechnic Institute, Troy, NY. (1985
B.S: Indian Institute of Technology, Kanpur, India. (1982)

Research Interests:
  • Probabilistic computational mechanics
  • Reliability and risk assessment
  • Design optimization


       



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