A hybrid deep belief network-based label distribution learning system for seismic damage estimation of liquid storage tanks

Liquid storage tanks play a vital role in the modern chemical process industry (CPI). The strong ground motion caused by large-scale earthquakes may easily impose severe structural damage on liquid storage tanks, leading to a series of catastrophic cascaded events. The seismic damage estimation of liquid storage tanks is a challenging problem,...

A Mode Matching Technique For The Seismic Response Of Liquid Storage Tanks Including Soil-Structure Interaction

The paper establishes a computationally inexpensive method to deal with the dynamic response of liquid storage tanks subjected to seismic excitation including dynamic soil-structure interaction. The tank is modelled as a thin shell, the stored liquid is described asan inviscid and incompressible fluid and the soil medium is modelled as an...

Seismic Response of Liquid Storage Tanks: A Mode-Matching Approach Considering both Fluid-Structure and Soil-Structure Interaction

Liquid storage tanks are used worldwide to contain liquids such as drinking water, fuel and chemicals. Loss of containment during a seismic event can add to an earthquake’s destructiveness by posing a fire hazard, spilling toxic substances or reducing the supply of drinking water. It is therefore important that they remain operational at a pre...

Seismic Response of Liquid Storage Tank in a Semi Analytical Method

This thesis focuses on the dynamic analysis of liquid storage tanks subjected to seismic excitation with its primary aim being the development of a semi-analytical model able to predict this dynamic response accurately. In engineering practice, there are two primary methods to solve this problem. Numerical models based primarily on the finite...