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The main objective of the topology optimization is to fulfill the objective function with the minimum amount of material. This reduces the overall cost of the structure and at the same time reduces the assembly, manufacturing and maintenance costs because of the reduced number of parts in the final structure. The concept of reliability analysis can be incorporated into the deterministic topology optimization method; this incorporated scheme is referred to as Reliability-based Topology Optimization (RBTO). This book explores a reliability-based synthesis method which estimates all the statistical parameters and finds the optimum while being less computationally intensive. The efficiency of the proposed method is achieved with the combination of topology optimization and stochastic approximation which utilizes a sampling technique such as Latin Hypercube Sampling (LHS) and metamodeling techniques such as Local Regression and Classification using Artificial Neural Networks (ANN).
About the author
Jiten Patel graduated with a BTech degree in Mechanical Engineering from the Indian Institute of Technology (IIT) Madras in 2007. In 2009 he graduated with a MS degree in Mechanical Engineering from Georgia Institute of Technology, Atlanta, USA. He is scheduled to graduate with a Phd in Mechanical Engineering from Georgia Tech in 2011.
