In the design and failure analysis of a complex multi-clamp piping system in an aero-engine, it is difficult to determine the influence of layout dimension on its structural dynamic characteristics and to rapidly identify its key layout parameters, leading to high blindness and low efficiency. Based on the pipe layout method for a complex piping system, this study proposes a clamp position parameterization method to enable the simultaneous modeling and collaborative optimization of various pipe shapes and clamp layouts. Experiments are conducted to validate the method before and after optimization. First, the inter-point parameterized line segment interpolation method is adopted to define clamp positions, thus allowing the simultaneous transformation of various pipe shapes and clamp positions. Second, the original feasibility problem is transformed into a multi-objective optimization one suitable for dynamic structural analysis. Numerical instances validate the feasibility of this method, with the piping system's dynamic performances significantly improved. Finally, the Spearman correlation coefficient is employed to identify the local sensitivity of each parameter. The hypercube sampling Monte Carlo method is used to convert raw optimization data into statistically significant engineering applicable intervals, realizing the engineering application of the colla-borative optimization method.
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