Raimondo Betti

Civil Engineering

Raimondo Betti’s research focuses on the area of structural health monitoring, a crucial area for the safety, maintenance, and rehabilitation of our nation’s infrastructure system. His main interests range from the development of numerical algorithms for the identification of high-fidelity models of buildings and bridges to the development of methodologies for the assessment of the internal conditions of main cables of suspension bridges and for the estimation of their remaining strength. 

  • Chair of civil engineering and engineering mechanics, Columbia University, 2010-2013 
  • Professor of civil engineering and engineering mechanics, Columbia University, 2002- 
  • Associate professor of civil engineering and engineering mechanics, Columbia University, 1996– 2002 
  • Assistant professor of civil engineering and engineering mechanics, Columbia University, 1991– 1996 

 

  • American Society of Civil Engineering (ASCE) 
  • International Association of Structural Control and Monitoring (IASCM) 

 

  • National Young Investigator Award, NSF, 1994 
  • Research Award for Foreign Specialists, PWRI, Japan, 1997 

 

  • Mukhopadhyay, S., Lus, H., and Betti, R.: “Output-only structural identification with incomplete instrumentation and independence of measured information”, Earthquake Engineering and Structural Dynamics, Vol. 45, Issue 2, 2016, pp. 273-296. 
  • Sun, H., Waisman, H., and Betti, R.: “A sweeping window method for detection of flaws in a large structure using an explicit dynamic XFEM and absorbing boundary layers”, International Journal for Numerical Methods in Engineering, Vol. 105, 2016, pp. 1014-1040. 
  • Mukhopadhyay, S., Lus, H., and Betti, R.: “Probabilistic Structural Health Assessment with Identified Physical Parameters from Incomplete Measurements”, ASCE/ASME Journal of Risk and Uncertainty in Engineering Systems, DOI: 10.1061/AJRUA6.0000838, September 2015. 
  • Balsamo, L., and Betti, R.: “Structural Health Monitoring with Small Size Samples”, Journal of Structural Control and Health Monitoring, DOI: 10.1002/stc.1744, March 2015. 
  • Mukhopadhyay, S., Lus, H., and Betti, R.: “Structural Identification with Incomplete Instrumentation and Global Identifiability Requirements under Base Excitation”, Journal of Structural Control and Health Monitoring, Vol. 22, No. 7, 2015, pp. 1024-1047. 
  • Phan, M.Q., Vicario, F., Betti, R. and Longman, R.W.: “Output-Only Observer/Kalman Filter Identification (O3KID)”, Journal of Structural Control and Health Monitoring, Vol. 22, No. 5, 2015, pp. 847-872. 
  • Balsamo, L., Betti, R., and Beigi, H.: “A Structural Health Monitoring Strategy Using Cepstral Features”, Journal of Sound and Vibration, Vol. 333, 2014, pp. 4526-4542.
  • Montoya, A., Deodatis, G. Betti, R., and Waisman, H.: “A Physics Based Stochastic Model to Determine the Failure Load of Suspension Bridge Main Cables”, ASCE Journal of Computing in Civil Engineering, DOI: 10.1061/(ASCE)CP.1943-5487.0000393, 2014. 
  • Reggio, A., De Angelis, M. and Betti, R.: “A State-space Methodology to Identify Modal and Physical Parameters of Non-viscously Damped System”, Mechanical Systems and Signal Processing, Vol. 41, 2013, pp. 380-395. 
  • Sun, H., Lus, H., and Betti, R.: “Identification of Structural Models Using a Modified Artificial Bee Colony Algorithm”, Computers and Structures, Vol. 116, 2013, pp. 59-74. 
  • Hong, A.L., Betti, R. and Ubertini, F.: “A New Stochastic Subspace Approach for System Identification and Its Application to Long-Span Bridges”, ASCE Journal of Engineering Mechanics, Vol. 139, No. 6, 2013, pp. 724-736. 
  • Sloane, M.J., Betti, R., Hong, A.L., Marconi G. and Khazem, D.: “An Experimental Analysis of a Non- Destructive Corrosion Monitoring System for Main Cables of Suspension Bridges”, ASCE Journal of Bridge Engineering, Vol. 18, Issue 7, 2013, pp. 653-662. 
  • Mei, F., Noyan, I.C., Brugger, A., Betti, R., Clausen, B., Brown, D., and Sisneros, T.: “Neutron Diffraction Measurement of Stress Redistribution in Parallel Seven-wire Strands After Local Fracture”, SEM Journal of Experimental Mechanics, 2013, DOI: 10.1007/s11340-012-9621-5, published online May 24, 2012.