With the innovation and development of A*STAR computational technique evaluating the impact of waves on deep-sea oil rigs has become easier. This will also increase the operational platform and make them cheaper to manufacture. On the seabed, offshore oil platforms and wind turbines are conventionally resting securely. Floating structures are required if they are operated in deeper waters.
Investment is another factor required for building and development and it is required in enormous amount for building and positioning these platforms, and it is very important to verify that they can withstand waves, storms and even tsunami. Testing of potential designs are typically done through building model and trialling it in a wave tank but the process is little expensive and the results obtained in such limited and controlled conditions are not always transferable out at sea.
Computer simulation provide cheaper approach and for the rapid development of high performance computers has made it possible to resolve the complicated three-dimensional nonlinear equations that describe fluid flow around and through a complex arrangement of objects. A comprising factors comes in between the calculation is time consumption that led to minimal accuracy and efficiency.
Addressing of the trade off among Xin Lu and their co-workers from the A*STAR Institute of High Performance Computing innovated a technique that eliminates excess computing time by developing of sun-iteration at every new step, thus increasing the speed of the modelling concept says Lu.


Use of overlapping domain decomposition technique to model the propagation of a solitary wave by the team and to measure the effect of the wave on partially submerge body and to recreate a wave as it breaks on a beach. The new method has the capability to deliver comparable results in just half or even third of the original computing time, says Lu. There is further reduction by 80 percent when the method used lead to optimization, a natural computing time expected by the researchers.
This innovation will help in manufacturing field at large and thus leading to better usage of resources available in an environment.