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Baidurya
Bhattacharya
ProfessorDepartment of Civil EngnineeringPrincipal
Investigator
Advanced Facility for Research in Reliability Engineering
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Mailing Address: Department of Civil Engineering Indian India |
Office: CE304, Dept. of Civil Engineering Phone: +91 (3222) 28-3422 Fax: +91 (3222) 28-2254 Email: baidurya [at] iitkgp.ac.in |
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·
Computational
Materials Science
· continuum damage mechanics
· fracture mechanics
· atomistic simulation for fracture
· spatially random defects and their effects on mechanical behaviour
·
Risk and
reliability analyses of engineering systems
·
infrastructure
disaster management
·
systems risk management – allocation of target
reliabilities
· Reliability-based design and maintenance of structures
· extremes of time-varying load sequences
· reliability based design code calibration -load and resistance factor design and rating (LRFD/LRFR)
The Johns Hopkins University,
Dissertation: A Damage Mechanics-based Approach to Structural Deterioration and Reliability
Advisor:Bruce R. Ellingwood
Master of Science in Engineering, 1994
The Johns Hopkins University,
Bachelor of Technology (honours) in Civil Engineering, 1991
Indian Institute of Technology, Kharagpur,
India
Adjunct Associate
Professor, January 2010 -
Department
of Civil and Environmental Engnineering
Visiting Assistant
Professor, Sept – Dec 2005
Department
of Civil and Environmental Engnineering
Assistant Professor,
July 2001 – February 2006
Department
of Civil and Environmental Engnineering
Scientist, Sept
2000 – June 2001
Department
of Civil and Environmental Engnineering
Engineer, March 1998 - March 2000
Advanced Analysis
Department
American
Bureau of Shipping,
Post-Doctoral
Fellow, 1997
Department
of Civil Engineering
The
·
CE41002/CE51002/CE60108/CE60112Probabilistic Design/Structural Reliability/Infrastructure Systems
, (last taught - Spring 2011)
·
MT51032
Applied Reliability Engineering, (last taught Spring 2009)
·
CE21005
Solid Mechanics, (now teaching Autumn 2011)
·
CE21004
Structural Analysis, (last taught Spring 2009)
·
CE13001
Engineering Drawing & Graphics, (now teaching Fall 2011)
·
CEE 203 Probabilistic Models in Civil
Engineering
·
CIEG 315 Probability and Statistics for
Engineers
·
CIEG 415/615 Probability-based Design
·
CIEG
667-015 Mechanical Behavior of Materials and Structures
·
CIEG 815 Reliabiity of Engineering Systems
·
CIEG 865 Emerging Methodologies for Civil and Environmental Engineering
Analysis
·
Doctoral
o
M V D
Prasad, toward PhD
o Ambarish Paul, toward PhD
o Suhas Vhanmane, Ph.D. 2011 Thesis abstract
o Qiang Lu, Ph.D., 2005 Thesis abstract
o Degang Li, Ph.D. 2004 Thesis abstract
·
Masters (selected)
o
Debarshi Sen,
B. Tech. (2011), M. Tech., expected 2013
o
Aritra Chatterjee,
B. Tech. (2011), M. Tech., expected 2012
o Mainak Bhattacharya, M. Tech., 2011
o Pankaj Rajak, M. Tech., 2011 (co-advised)
o Rudraprasad Bhattacharyya, M. S., expected 2011
o G. R. Dinesh Kumar , M.Tech. 2009 (co-advised)
o Sreevathsan R., M.Tech., 2008 (co-advised)
o Michelle Bensi, M.S. 2006
o Mark Guzda, M.S. 2006
o Jinquan Zhong, M.S. 2005
o Jason Hasting, M.S. 2001 (co-advised)
·
Undergraduate (selected)
o
K. Sreekar, B. Tech. expected 2012
o
Bikash Kanungo, B. Tech., expected 2013
o
T. Abhijeet, B. Tech., expected 2013
o
Gunjan
Agrawal, B. Tech. 2010
o
Abhishek
Agarwala, B. Tech. 2010
o
Anirban
Pal, B. Tech. 2010
o
Puneet
Patra, B.Tech. 2009 o
Arunima
Singh, B.Tech. 2009 (co-advised) o
Andrew
Seifried, B. S. 2004 ·
Editorial Board Member : International Journal of Engineering Under Uncertainty: Hazards, Assessment and Mitigation ·
Associate Editor, Journal of Bridge Engineering, ASCE Conference
advisement / session organization Applications are sought for
the position of Consultant (up to Rs 30,000 pm) and Senior Project
Officer (up to Rs. 24,000 p.m.) in the two following areas: Candidates must have a Master’s/ Doctoral level degree in Civil/
Mechanical/ Aerospace/ Metallurgical Engineering or in Physics/ Materials
Science. Excellent knowledge in
mechanics and Finite Element modeling, along with reasonable knowledge in
Materials Science and/or Composite Materials, is required. Excellent computer programming skills is
essential. Familiarity with materials
testing methods and a good publishing record will be given preference. Candidates must have a Master’s/ Doctoral level degree in
Civil/ Mechanical/ Aerospace/ Engineering or in Mathematics/Statistics.
Excellent knowledge in Reliability, along with reasonable knowledge in
Mechanics and/or Structural Engineering, is required. Excellent computer programming skills is
essential. Familiarity with the
nuclear power industry and a good publishing record will be given preference.Professional Service and
Activities
Invited
Lectures
Lectures
in short courses
Committee
Membership
Interesting downloads
Announcements
Computational Materials Science
Risk and Reliability of Infrastructure Systems