Abstract: Ageing of Underground Storage Tanks (USTs) have come with risks whereby failure due to loss of
containment can potentially cause catastrophic damage to humans and environment. The failure due to the loss
of containments such as fuel and gas may trigger a domino effect of fire. This study aims to introduce an
alternative approach of risk assessment by adopting Risk Based Assessment (RBA), Structural Health
Monitoring (SHM) and Area Location of Hazards Atmospheric (ALOHA) Loss of Containment (LOC) to assess
the fitness of the underground storage tank for operational purposes and the possibility of the risk engulfing
petrol station. The RBA is a process that involves in collecting all the primary and secondary data such as
policy, technical and maintenance data. These data will be the input to the SHM. SHM is a process of using
unique acoustic emission and guided wave gadget Long Range Ultra Thickness (LRUTG) in capturing the
thickness of the wall of UST, type material, temperature, level of pressure of the material, stress and strain. Both
data from RBA and SHM will be the input to the Area Location of Hazards Atmospheric (ALOHA) by adopting
the consequences model such as Loss of Containment (LOC). This tool will simulate and predict the magnitude
and severity effect of the fire risk to the on-set and off-set of the petrol station. The result of the combination
and holistic of the above approach will provide a novel way of monitoring and supervising the underground
storage tanks integrity and prediction of an early information of the fire risk at petrol station. This approach
can be implement and replicate to other petrol stations. |