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ASCE ( American Society of Civil Engineers )
Description: The American Society of Civil Engineers represents more than 150,000 members of the civil engineering profession in 177 countries. Founded in 1852, ASCE is the nation’s oldest engineering society. ASCE stands at the forefront of a profession that plans, designs, constructs, and operates society’s economic and social engine – the built environment – while protecting and restoring the natural environment.
Now showing items 1-6 of 6
Training Neural Networks by Adaptive Random Search Techniques
Publisher: American Society of Civil Engineers
Abstract: A relatively simple stochastic optimization procedure based on the adaptive random search algorithm is presented to train artificial neural networks of the type encountered in applied mechanics applications. After discussing ...
Neural Network Approach to Detection of Changes in Structural Parameters
Publisher: American Society of Civil Engineers
Abstract: A neural network-based approach is presented for the detection of changes in the characteristics of structure-unknown systems. The approach relies on the use of vibration measurements from a “healthy” system to train a ...
On-Line Parametric Identification of MDOF Nonlinear Hysteretic Systems
Publisher: American Society of Civil Engineers
Abstract: A method based on adaptive estimation approaches is presented for the on-line identification of hysteretic systems under arbitrary dynamic environments. The availability of such an identification approach is crucial for ...
Structural Control: Past, Present, and Future
Publisher: American Society of Civil Engineers
Abstract: This tutorial/survey paper: (1) provides a concise point of departure for researchers and practitioners alike wishing to assess the current state of the art in the control and monitoring of civil engineering structures; ...
Application of Neural Networks for Detection of Changes in Nonlinear Systems
Publisher: American Society of Civil Engineers
Abstract: A nonparametric structural damage detection methodology based on nonlinear system identification approaches is presented for the health monitoring of structure-unknown systems. In its general form, the method requires no ...
Application of Structural Health Monitoring Techniques to Track Structural Changes in a Retrofitted Building Based on Ambient Vibration
Publisher: American Society of Civil Engineers
Abstract: One of the issues complicating the reliability assessment of structural health monitoring (SHM) methodologies slated for implementation under field conditions for damage detection in conjunction with typical infrastructure ...