Search
Now showing items 1-5 of 5
Diagnosis of Reinforced Concrete Structural Damage Base on Displacement Time History using the Back-Propagation Neural Network Technique
Publisher: American Society of Civil Engineers
Abstract: A state-of-the-art methodology is proposed for damage diagnosis of structures, such methodology being presented in the example of a simply supported reinforced concrete (RC) beam. The severity and location of defects within ...
Optimal Control of Tall Buildings
Publisher: American Society of Civil Engineers
Abstract: An analysis of optimal modal control for tall buildings subjected to earthquake excitation is presented. The output feedback control system is applied under the circumstances that the state of the plant cannot be completely ...
Building KBES for Diagnosing PC Pile with Artificial Neural Network
Publisher: American Society of Civil Engineers
Abstract: Diagnosis of damage of prestressed concrete piles during driving is an important problem in foundation engineering. An effort to build an expert system for the problem is described in this paper. To overcome the bottleneck ...
Closure to “Building KBES for Diagnosing PC Pile with Artificial Neural Network” by Yi‐Cherng Yeh, Yau‐Hwaug Kuo, and Deh‐Shiu Hsu (January 1993, Vol. 7, No. 1)
Publisher: American Society of Civil Engineers
Expert System for Diagnosing Damage of Prestressed Concrete Pile
Publisher: American Society of Civil Engineers
Abstract: The damage of prestressed concrete pile (PCP) during the installation process has resulted in injuries, time delay, and cost overruns. Diagnosis of the damage is one of the most important problems in foundation engineering. ...
CSV
RIS