The reduced space Sequential Quadratic Programming (SQP) method for calculating the worst resonance response of nonlinear systems

• Published in: Journal of sound and vibration Vol. 425; pp. 301 - 323
• Main Authors: Liao, Haitao, Wu, Wenwang, Fang, Daining
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Ltd 07.07.2018; Elsevier Science Ltd
• Subjects: Computer programming; Condensation; Harmonic balance method; Maratos effect; Mathematical analysis; Matrix methods; Nonlinear response; Nonlinear systems; Optimization; Periodic solution; Quadratic programming; Reduced SQP method; Worst case resonance; Maratos effect; Periodic solution; Reduced SQP method; Worst case resonance; Harmonic balance method
• ISSN: 0022-460X; 1095-8568
• DOI: 10.1016/j.jsv.2017.12.020

A coupled approach combining the reduced space Sequential Quadratic Programming (SQP) method with the harmonic balance condensation technique for finding the worst resonance response is developed. The nonlinear equality constraints of the optimization problem are imposed on the condensed harmonic balance equations. Making use of the null space decomposition technique, the original optimization formulation in the full space is mathematically simplified, and solved in the reduced space by means of the reduced SQP method. The transformation matrix that maps the full space to the null space of the constrained optimization problem is constructed via the coordinate basis scheme. The removal of the nonlinear equality constraints is accomplished, resulting in a simple optimization problem subject to bound constraints. Moreover, second order correction technique is introduced to overcome Maratos effect. The combination application of the reduced SQP method and condensation technique permits a large reduction of the computational cost. Finally, the effectiveness and applicability of the proposed methodology is demonstrated by two numerical examples.