About

Manton Guers is an Assistant Research Professor affiliated with the Applied Research Laboratory and the Center for Acoustics and Vibration at Penn State University. His research is conducted within the field of acoustics, contributing to the interdisciplinary graduate program in acoustics at Penn State, which is recognized as a leading resource for graduate education in acoustics in the United States. His work involves research activities related to acoustics and vibration, supporting the university's mission to advance knowledge and education in these areas.

Research topics

• Physics
• Engineering
• Computer Science
• Acoustics
• Simulation
• Mathematics
• Mechanical engineering
• Structural engineering
• Materials science
• Statistics

Selected publications

• Consistent physical frequencies in time-frequency analysis

  The Journal of the Acoustical Society of America · 2023-10-01 · 1 citations

  article1st authorCorresponding

  Wavelet transforms have been studied extensively for a wide variety of applications such as signal compression and signal denoising. Wavelet transforms have also been examined for the detection of transient signals. However, wavelet levels (and corresponding pseudo-frequencies) are inherently dependent on the sampling rate of the analyzed data. The work presented herein examines how wavelet analysis can produce inconsistent data representations for the same analytical signal digitized at different sampling rates. Results are compared to time-octave and other time-frequency representations to identify methodologies which produce consistent characterization of physical frequencies. Similarities and difference between approaches are discussed.

  PublisherDOI

• Signal classification with machine learning

  The Journal of the Acoustical Society of America · 2022-04-01

  article1st authorCorresponding

  This paper investigates and evaluates several Machine Learning techniques for the proper identification and classification of analytical signals. Signals having different “shapes” and periods were defined analytically to have pre-determined class associations. Supervised Machine Learning techniques were then investigated to evaluate the Machine Learning methodology’s ability to properly classify the analytical signals based on characteristics of interest.

  PublisherDOI

• Extreme value statistics of flow-induced hydrofoil vibration and resonance

  Noise Control Engineering Journal · 2021-01-01

  article

  Flow-induced noise and vibration produce cyclic loading on structures such as wind turbines, propellers, and vehicle control surfaces. This cyclic loading can produce fatigue damage in these structures. Additionally, large outlier loads can potentially exceed maximum design levels. Most other works have focused on the extreme value statistics of random loads, and there is limited work which considers the influence of structural resonances. The goal of this work was to study the influence of low order mode responses on extreme response statistics. To accomplish this, the flow-induced vibration response of cantilever fins forced by the wake of an upstream flow obstruction was measured in a closed-circuit water tunnel. The tunnel flow speed was increased, so the wake would excite the first bending mode. A maxima data set was determined from the measured response using the block maxima method, and the generalized extreme value (GEV) distribution was applied to each flow speed. Data were then filtered into stiffness-controlled and damping-controlled responses, and the extreme value analysis was repeated. Results indicated that the extreme response was influenced more by the damping-controlled response than the stiffness-controlled response. When excited, extreme responses from structural resonances must be considered in maximum load design.

  PublisherDOI

• Effect of Sensor Failure on Dynamometry Calibration

  2021-07-16

  preprintSenior author
  PublisherDOI

• Minimum sample size for extreme value statistics of flow-induced response

  Marine Structures · 2021 · 17 citations

  • Statistics
  • Mathematics
  • Engineering
  PublisherDOI

• The role of resonance in the extreme value statistics of flow-induced response

  The Journal of the Acoustical Society of America · 2020-10-01

  article

  Extreme value statics (EVS) are used to predict outlying loads that greatly damage structures. EVS are commonly applied to random environmental loads, such as sea states. However, the output response from structure’s transfer function has different statistics from the input load. Accurate prediction of maximum loads require analysis of the random response, which includes considering worst-case conditions such as resonance. This work aims to investigate the EVS of the flow-induced response from the applied load and the resonance of the first bending mode. In a water tunnel, an upstream cylinder was used to shed a wake onto a cantilever fin. The tunnel flow speed was increased to allow harmonics of the cylinder’s vortex shedding frequency to excite the fin’s first bending mode. The measured response was band-pass filtered to separate stiffness-controlled and resonance frequency bands. Extreme values of each record were modeled with the Generalized Extreme Value distribution. The experimental results are investigated to provide insight on how resonance impacts EVS and the consideration of resonance in accounting for extreme responses.

  PublisherDOI

• Effect of Sensor Failure on Dynamometry Calibration

  2020 · 2 citations

  Senior authorCorresponding
  • Computer Science
  • Structural engineering
  • Acoustics

  Abstract Dynamometers are used to measure integrated fluid dynamic loads such as thrust, torque or side forces. To resolve all of three force and three moment components, multiple embedded force gages are often used. Due to arrangement, static loads, and redundancy, the number of sensor channels can exceed the six degrees of freedom needed to resolve the generalized rigid body forces. This paper considers modeling of the force gages as simple springs to develop an elastic model of the dynamometer. The method was applied to a dynamometer consisting of six three-component force gages arranged in an axisymmetric ring. A calibration matrix based on the elastic model with individual force gage sensitivities was shown to match a full calibration matrix where properly summed force gage voltages were obtained under global load application. The elastic model was then extended to consider calibration matrices where sensors were assumed to fail. In this scenario, several virtual loads were applied to the dynamometer and the calibration matrix was obtained by minimizing the least square error. It was found that nearly half of the sensors could be lost and still a virtual calibration could be applied to the measurements. Extending the least square idea, an actual in-situ calibration matrix was formed by striking the dynamometer with a diverse set of instrumented hammer strikes. This calibration matrix also agreed with the other calibrations at frequencies below where system dynamics become important.

  PublisherDOI

• Evaluation of bolt torque levels using nonlinear wave modulation spectroscopy

  AIP conference proceedings · 2019-01-01

  articleOpen access

  Nondestructive evaluation techniques have been used to evaluate the integrity of bolted joints in structures. One such method is nonlinear wave modulation spectroscopy (NWMS), which examines the sideband generation in the presence of dual inputs as a result of nonlinearity present in the system. This work uses NWMS on an aluminum T-joint structure to evaluate the torque levels of the bolts. In addition, this work compares excitation with two shakers to excitation with a single shaker and an impact hammer, in which the hammer excites several low frequency modes. The results show that the damage indicator based on the sidebands is highly dependent on damage and sensor location, and that the damage indicator is most sensitive over a specific range of torque levels.

  PublisherOA PDFDOI

• Application of the fatigue damage spectrum to accelerated vibration testing

  The Journal of the Acoustical Society of America · 2019-10-01 · 3 citations

  articleSenior authorCorresponding

  Vibration testing is an important part of product validation in many industries. However, the time to conduct a vibration test is an important consideration, especially in industries where designs need to be validated quickly. In this work, the Fatigue Damage Spectrum (FDS) methodology was validated against results presented in the literature and then applied to a vibration test profile based on road load data. An experimental validation of the code was performed using an electrodynamic shaker. It was demonstrated that the FDS methodology can cut the testing time in half and produce reasonable results based on the criteria of maximum crack length of the specimens.

  PublisherDOI

• Extreme value statistics in flow-induced vibration over long time intervals

  The Journal of the Acoustical Society of America · 2019-03-01

  articleSenior author

  Cyclical loading on structures can lead to fatigue damage, and damage accumulation can be worsened from peak loading. In order to predict these peaks, extreme value statistics can be applied to limited vibration data. Tests must be conducted for long enough durations so that a representative population can be obtained. In extreme value statistics, the Generalized Extreme Value (GEV) distribution’s parameters are also dependent on measuring a representative sample. As it is often uneconomical to test for long periods of time, the proposed experiment aims to look at the behavior of extreme value statistics over long time records to determine if a “minimum requirement” is possible. A cantilever hydrofoil is vibrated under three flow conditions at two angles of attack. Extreme value statistics are applied to compare parameters and distributions for different record length increments. Statistics of each increment are used to generate return plots for the prediction of repeated tests. Errors are quantified to determine the accuracy of the different record lengths. The results will indicate how testing length influences GEV parameters and prediction in vibration, giving insight into duration requirements for future fatigue tests.

  PublisherDOI

Frequent coauthors

• Bernhard R. Tittmann

  Pennsylvania State University

  24 shared

• Stephen C. Conlon

  Applied Research Laboratory at Penn State

  16 shared

• Connor J. McCluskey

  Pennsylvania State University

  16 shared

• Dale E. Chimenti

  Iowa State University

  10 shared

• Donald O. Thompson

  10 shared

• Jining Xie

  Shenyang Aerospace University

  8 shared

• Nanyan Zhang

  United States Military Academy

  8 shared

• Vijay K. Varadan

  8 shared