Artificial Mechanical Fatigue Signal

This book discusses a model for generating simulated strain signals leading to fatigue damage estimation. During the durability testing of machines, load histories are often collected using components operated under varying service conditions. High cost, time consumption and presence of errors, however, have inhibited a strain signal acquisition. Since the acquisition of a strain signal proves to be exorbitantly expensive, the study replicated this problem scenario using a simulator. Thus, a multi-body dynamic simulation was developed based on the equation of motion to generate simulated strain signals. Acceleration signals were the main input for the simulation. Applying the acceleration signals into the simulation, simulated strain signals were gained. The current study results are believed to provide a new knowledge towards generating simulated strain signals. With this technique, the economic effects may be reduced and the durability testing time is saved. This method is necessary since it effectively gives significant contributions to future durability and fatigue failure assessments. Thus, the results bring greater meaning to the field of fatigue research.

Autorentext

Teuku Edisah Putra research interest includes fatigue life assessments, structural integrity and mechanical signal processing. He obtained Dr.-Ing. and Ph.D. from Department of Mechatronis, Universität Duisburg-Essen, Germany, and Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, respectively.