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Coffee, cake, and brewing ideas | Wellington Nogueira | On the Application of the Transmissibility-Based Approach for Damage Detection in the Z24 Bridge

December 4, 2024

Wellington de Lima Nogueira | Intern, Faculty of Engineering, Lusófona University, Portugal

December 4, 2024 | 13h30-14h00 | Room C.1.5 | Lusófona University, Lisbon, Portugal

Abstract: The main objective of this work is to detect damage in structures using output-only transmissibility data combined with KPCA for feature extraction and classification within the statistical pattern recognition (SPR) paradigm. It is assumed that only structural response signals from undamaged conditions (labeled data) and other unknown scenarios for classification are available. Transmissibility functions are used as a damage-sensitive feature because it is easy to estimate using standard accelerometers without the need to know the input forces. Due to its versatility, the transmissibility functions can be applied to various structures on different scales, ranging from small mechanical components to large civil engineering structures. Transmissibility functions are effectively sensitive to structural damage, as changes in structural properties can affect them at different frequencies. In addition to their basic sensitivity to changes in stiffness, they can provide valuable information about the location of damage through changes in the functions at different points in the structure. Generally, a measure of transmissibility can be estimated in several ways for a random input and considering a stationary stochastic process. The most common option is the output-only.

Short Bio: Wellington de Lima Nogueira is an intern at Lusofona University in Lisbon and a third year PhD student at University of Ilha Solteira – UNESP – Brazil. Your mobility is funded by the CAPES-PDSE program, and he chose to undertake his internship at Lusofona University under the guidance of Professors, Dr. Eloi Figueiredo and Dr. Ionut Dragos Moldovan. In Brazil he works in the damage detection in nonlinear structure transmissibility-based in the context of Structural Health Monitoring (SHM). Here in Lusofona he will analyze and apply transmissibility-based damage detection in Z24 bridge data.