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Nonlinear modeling with confidence estimation usingBayesian neural networks
Back-propagation neural network Bayesian neural network deep beams neural network
2009/2/19
There is a growing interest in the use of neural networks in civil engineering to model complicated nonlinearity problems. A recent enhancement to the conventional back-propagation neural network alg...
Plastic Mechanism and Elastic Analyses in the Strength Estimation of an Axially Compressed-Thin-Walled Channel Steel Section Beam
Channel section local buckling plastic mechanisms effective width moment capacity and axial-compressive strength
2009/2/18
This paper presents the study of an analytical model to estimate the strength of a thin-walled channel steel section beam subjected to axial-compressive loads. The model is based on two different meth...
Structural Failure Probability Estimation Using HDMR and FFT
Structural Engineering Division, Department of Civil Engineering, Indian Institute of Technology Madras
2009/1/14
This paper presents a new and alternative method based on High Dimensional Model Representation (HDMR) and Fast Fourier Transform (FFT) to estimate the structural failure probability of structural sys...
Research on Moving Force Estimation of the Bridge Structure using the Adaptive Input Estimation Method
Bridge Structure Adaptive Input Estimation Method
2009/1/14
An on-line adaptive input estimation method that estimates the moving force inputs of the bridge structure is presented in this research. By using the inverse method, input forces acting on bridge str...