PINN-PORT: Automated Physics-Informed Neural Network Modeling and Application Software for Tsunami Risk Assessment in Ports: Application to Indonesia

Project PINN-PORT aims to develop an automated GIS framework and two application software for assessing tsunami hazards and

their impact on industrial infrastructures in ports. The model will be applied to three ports in Cilegon, northwest Java, Indonesia,

which are within 200 km of the identified seismic gap region of the Sunda megathrust. This region is estimated to be capable of

generating Mw 8.9 tsunamigenic earthquakes in the future. These locations are of particular interest due to Indonesia's vulnerability

to tsunamis, evidenced by the significant loss of life in tsunamis like those in Palu and Anak Krakatau in 2018, which resulted in over

5,000 fatalities. Tsunamis have the potential to inflict damage on structures within port areas, in turn, causing operational disruptions

with cascading effects on maritime trade. Hence, understanding the tsunami impact on port structures and moored ships is essential.

The objectives of this project are to 1: Make ports more resilient and safer to tsunamis by developing innovative hazard analysis tools

and harnessing the latest modelling technique namely Physics-Informed Neural Network modelling. 2: Automate the process of

tsunami risk analysis to ports with the aid of a GIS-based tool and standalone applications that are user-friendly, even for non-experts. 3: Communicate, collaborate and co-create the resilience tools by consulting with port authorities.

PINN-PORT employs a hybrid research approach, combining numerical simulations, analytical studies, and field surveys. Field surveys

assess the exposure and vulnerability of structures, and fragility functions estimate the probability of structural damage. The

developed tools automate this workflow, making them accessible to researchers and potentially port authorities worldwide. By

creating these applications, our aim is to advance tsunami modelling research by improving technological accessibility and simplifying the process.