Publications

@inproceedings{Kessler2021,
title = {Comparison of modal parameters of a concrete slab floor from ema and oma},
author = {E Kessler and V V N S Malladi and Rodrigo Sarlo and L A Martin and Pablo A Tarazaga},
doi = {10.1007/978-3-030-47634-2_27},
issn = {21915652},
year = {2021},
date = {2021-01-01},
booktitle = {Conference Proceedings of the Society for Experimental Mechanics Series},
abstract = {textcopyright 2021, The Society for Experimental Mechanics, Inc. In this study, the modal parameters of a hallway floor in Goodwin Hall are compared with experimental modal analysis (EMA) and operational modal analysis (OMA). A set of 17 high sensitivity accelerometers mounted to structural beams under the floor of the hallway will be used to measure the floor response. In EMA an instrumented hammer was used to measure the input, while in OMA ambient excitation was used to excite the floor. The natural frequency, damping ratio, and mode shape estimates for the first five modes of the floor will be compared between the two methods. Despite limitations with generating enough energy to excite standing waves, the modal parameters between EMA and OMA match well. Frequency differences are less than 10%, and all the damping ratio estimates between 2% and 10%. Mode shapes also match well visually, and the MAC shows agreement between methods. Both EMA and OMA show the ability to extract modal parameters from the floor, where the mode shapes show global motion of the floor instead of only local motion between supports.},
keywords = {EMA, Floor vibrations, Human structure interaction, OMA, Smart infrastructure},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Sarlo2017,
title = {Operational modal analysis of a steel-frame, low-rise building with L-shaped construction},
author = {Rodrigo Sarlo and Pablo A Tarazaga and M E Kasarda},
doi = {10.1117/12.2260340},
issn = {1996756X},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of SPIE - The International Society for Optical Engineering},
volume = {10168},
abstract = {textcopyright 2017 SPIE. The Goodwin Hall Smart Infrastructure facility at Virginia Tech is a five-story "smart building" with an integrated network of 213 wired accelerometers. We utilize a subset of 68 sensors to perform high-resolution Operational Modal Analysis (OMA) of the structure under windy conditions. The low-rise, L-shaped construction and high mass, high stiffness properties of Goodwin Hall provide a unique case study in comparison to typical cases of building OMA in literature, which generally feature high-rise buildings with rectangular architectures. Our work focuses on data acquisition and feature extraction, which are two critical steps within a complete structural health monitoring approach. Our detailed methodology establishes guidelines for sensor selection and data processing applicable to this and more general cases. Modal parameters extraction using Stochastic Subspace Identification shows the first four natural frequencies, damping values, participation factors and mode shapes of the building. We hypothesize that high damping values and large differences in the participation of fundamental modes are related to the nature of the wind excitation.},
keywords = {ambient vibration, operational modal analysis, Smart infrastructure, wind},
pubstate = {published},
tppubtype = {inproceedings}
}