A tabular optimisation technique for steel lazy wave riser

Steel lazy wave riser (SLWR) is derived from the simple catenary (SCR) by installation of buoyancy modules on its section. Infinite SLWR configurations are possible, and this poses difficulties in determining best configuration. However, it possible to capture some suitable which satisfy given design criteria specific a project. We referred these as optimum for problem. Several advanced optimization tools techniques engineering available. In paper, we present 2D tabular method SLWR, an index-based technique. The approach reduces multidimensional problem type providing significant reduction required computational resources. It combines variables pairs assigns indices resulting points (configurations) each combination. then tracked through index matching using such data sorting intersection operations. application technique design, set number variable three. This results three pair combinations variables. apparent mass ratio, sag bend elevation, arc height. output interest be optimized include hanging length, smeared section thickness, hang-off tension, stress utilization fatigue damage around bends. Selected process subjected irregular simulation demonstrate suitability optimisation problems.