Real‐time hybrid simulation of structural systems with soil‐foundation interaction effects using neural networks
Real‐time hybrid simulation (RTHS) involves dividing a structural system into numerical and
experimental substructures. The experimental substructure is challenging to model …
experimental substructures. The experimental substructure is challenging to model …
Real-time hybrid simulation incorporating machine learning for deep-water bridges subjected to seismic ground motion with fluid-structure dynamic interaction
The investigation of fluid-structure dynamic interaction (FSI) of deep-water structures
subjected to seismic events with underwater shaking table testing method has been …
subjected to seismic events with underwater shaking table testing method has been …
[PDF][PDF] An Automated Data Pre-processing Technique for Machine Learning in Critical Systems
M Madyembwa, K Mzelikahle… - Int. J. Electron Eng …, 2020 - researchgate.net
In many critical systems, the quality of data analysis is an important factor to consider
particularly if the results of the data analysis contribute towards decision making. Data …
particularly if the results of the data analysis contribute towards decision making. Data …
Multi-Physics Framework for Seismic Real-Time Hybrid Simulation of Soil-Foundation-Structural Systems
Abstract Real-time Hybrid Simulation (RTHS) is a technique wherein a structural system is
divided into an analytical and an experimental substructure. The former is modeled …
divided into an analytical and an experimental substructure. The former is modeled …
[PDF][PDF] Predicting Refrigeration Optimality using Artificial Neural Networks, a case of Evolutionary Networks
A Donaldson, PF Collins - researchgate.net
UK supermarkets suffer serious financial losses owing to problems with their refrigeration
systems. To combat this, various alarm systems exist, ranging from in-store sirens to a 24 …
systems. To combat this, various alarm systems exist, ranging from in-store sirens to a 24 …