
Civil Engineering ETDs
Publication Date
Spring 5-13-2025
Abstract
Intermittent temporal patterns in dynamic response data of nonlinear systems can signify events of high scientific and engineering interest, but confident detection can be elusive. Information theory was investigated as an alternative approach to time history analyses of systems excited by mixed stationary and transient vibration. The resulting technique, called the Information Impulse Function (IIF), operates on time-frequency representations of a signal to detect non-conforming, transient patterns. The IIF was tested with simulated nonlinear response in two different studies with increasing complexity. Laboratory test data was used to investigate method behavior for multiple and long duration events, identify events from background response, and explore the utility of the IIF to discriminate between different transient sources. Despite being a nascent technique, the IIF is a unique and effective addition to the repertoire of signal processing tools used for structural health monitoring, field data analysis, and many other fields of study.
Keywords
structural health monitoring, anomaly detection, shock response, random vibration, nonlinear systems, information theory
Sponsors
Sandia National Laboratories
Document Type
Dissertation
Language
English
Degree Name
Civil Engineering
Level of Degree
Doctoral
Department Name
Civil Engineering
First Committee Member (Chair)
Fernando Moreu
Second Committee Member
Tang-Tat Ng
Third Committee Member
Francesco Sorrentino
Fourth Committee Member
John Pott
Fifth Committee Member
Madura Pathirage
Recommended Citation
Montoya, Angela C.. "The Information Impulse Function: Detecting Temporal Changes in Structural Response." (2025). https://digitalrepository.unm.edu/ce_etds/353
Included in
Civil and Environmental Engineering Commons, Dynamical Systems Commons, Signal Processing Commons, Structures and Materials Commons