Browsing Proceedings of the 2024 New Zealand Society for Earthquake Engineering Annual Technical Conference by Subject "Digital tools, machine learning (AI) and emerging technologies in earthquake engineering"
Now showing items 1-4 of 4
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Investigating the interaction between rocking amplitude and ground motion characteristics via artificial neural networks
(2024-04-09)Unreinforced masonry structures are particularly vulnerable to out-of-plane seismic loading. During an earthquake, masonry walls behave as rigid bodies undergoing rocking motion. Thus, from a dynamics perspective, their ... -
Machine Learning Correction of Overpredicted Liquefaction Manifestation using Liquefaction Severity Number
(2024-04-09)Many of state-of-practice methods for predicting liquefaction manifestation, such as the Liquefaction Severity Number (LSN) of van Ballegooy et al. (2014) are known to suffer from significant overprediction in regions ... -
Non-contact Structural Damage Detection by Natural Frequency Measurement using Microphone
(2024-04-09)Structural Damage Detection methods are crucial for infrastructure maintenance. The general principle involves the identification of changes in natural frequencies induced by stiffness reductions. This paper introduces an ... -
Time History Analysis is easy, and you should do it: Here’s how.
(2024-04-09)Time history analysis is generally regarded as a highly specialised and deeply technical process. There is also a growing divide between different schools of thought around how analysis should be done. On the one hand, ...