Books – Computational Mechanics

Book chapters published by Dr. Rajib's lab.

Dr Rajib Chowdhury is an associate professor in the Department of Civil Engineering, Indian Institute of Technology Roorkee, India. Before joining the college, he held various research positions at Swansea University, UK. His primary areas of interest are:

Structural Engineering, Uncertainty Quantification, Risk Analysis, Structural Reliability, Fuzzy Uncertainty
Multiscale Modelling, Continuum Mechanics
Computational Material Science, Nanotechnology

2017
- Adaptive refined model based approach for robust design optimization
  
  Predictive Modeling and Optimization Methods in Science and Engineering, IGI Global
  
  Chatterjee, T. and Chowdhury, R.
- Improved sparse approximation models for stochastic computations
  
  Neural Computing in Engineering and Science, Elsevier
  
  Chatterjee, T. and Chowdhury, R.
- Polynomial Correlated Function Expansion
  
  Modeling and Simulation Techniques in Structural Engineering, IGI Global
  
  Chakraborty, S. and Chowdhury, R.
2015
- A hybrid approach for solution of Fokker-Planck equation
  
  Advances in Structural Engineering, Springer, India
  
  Chakraborty, S. and Chowdhury, R.,
2009
- A practical solution of the random eigenvalue problems using factorized decomposition technique
  
  Computational Mechanics, Springer, Heidelberg
  
  Chowdhury, R., Rao, B.N., and Prasad, A.M.
- HDMR based stochastic finite element analysis for random field problems
  
  Safety, Reliability and Risk of Structures, Infrastructures and Engineering, CRC Press, Boca Raton, FL, USA
  
  Chowdhury, R., and Rao, B.N. and Prasad, A.M.

Book chapters published by Dr. Rajib's lab.

Adaptive refined model based approach for robust design optimization

Improved sparse approximation models for stochastic computations

Polynomial Correlated Function Expansion

A hybrid approach for solution of Fokker-Planck equation

A practical solution of the random eigenvalue problems using factorized decomposition technique

HDMR based stochastic finite element analysis for random field problems