To make the dynamic assembly reliability analysis more effective for complex machinery of multi-object multi-discipline(MOMD),distributed collaborative extremum response surface method(DCERSM)was proposed based on extremum response surface method(ERSM).Firstly,the basic theories of the ERSM and DCERSM were investigated,and the strengths of DCERSM were proved theoretically.Secondly,the mathematical model of the DCERSM was established based upon extremum response surface function(ERSF).Finally,this model was applied to the reliability analysis of blade-tip radial running clearance(BTRRC)of an aeroengine high pressure turbine(HPT)to verify its advantages.The results show that the DCERSM can not only reshape the possibility of the reliability analysis for the complex turbo machinery,but also greatly improve the computational speed,save the computational time and improve the computational efficiency while keeping the accuracy.Thus,the DCERSM is verified to be feasible and effective in the dynamic assembly reliability(DAR)analysis of complex machinery.Moreover,this method offers an useful insight for designing and optimizing the dynamic reliability of complex machinery. To make the dynamic assembly reliability analysis more effective for complex machinery of multi-object multi-discipline (MOMD), distributed collaborative extremum response surface method (DCERSM) was proposed based on extremum response surface method (ERSM). Firstly, the basic theories of the ERSM and DCERSM were investigated, and the strengths of DCERSM were proved theoretically. Secondarily, the mathematical model of the DCERSM was established based upon extremum response surface function (ERSF). Finally, this model was applied to the reliability analysis of blade-tip radial running clearance (BTRRC) of an aeroengine high pressure turbine (HPT) to verify its advantages. results show that the DCERSM can not only reshape the possibility of the reliability analysis for the complex turbo machinery, but also greatly improve the computational speed, save the computational time and improve the computational efficiency while keeping the accuracy.Thus, the DCERSM is verified to be feasible and effective in the d ynamic assembly reliability (DAR) analysis of complex machinery. Moreover, this method offers an useful insight for designing and optimizing the dynamic reliability of complex machinery.