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Advances in Sensing Techniques in Experimental Dynamics and Seismic Assessment

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (15 November 2022) | Viewed by 2742

Special Issue Editor


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Guest Editor
Department of Civil & Environmental Engineering, Syracuse University, Syracuse, NY 13244-1240, USA
Interests: steel structures; structural stability; structural dynamics; earthquake engineering; numerical modeling; damage identification and quantification; computer-aided analysis and design of structures; composite structures
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Special Issue Information

Dear Colleagues,

In engineering design, controlling vibration and limiting damage due to dynamic excitations are of paramount importance. With the advent of advanced sensor technologies, more precise and robust measurements can now be made to rapidly evaluate the dynamic performance of a variety of physical and engineering systems. While traditional sensors such as strain gauges, strain rosettes, displacement transducers, and accelerometers can still be used to evaluate the behavior of structural and mechanical systems under external stimuli, more advanced sensors made from MEMS, lasers, fiber optics, and advanced diodes are now being used in smart materials and intelligent structures to allow for real-time monitoring of their performance, making self-assessment and optimal adaption of their responses to applied stimuli possible.

This Special Issue solicits papers that address experimental, analytical, and numerical work that aims toward measuring, analyzing, and modeling the performance of complex engineering systems subject to time-varying loads. We welcome submissions of completed research work that uses traditional and/or more advanced sensors in aerospace, geotechnical, mechanical, and structural engineering for assessing system behavior, controlling vibration, limiting potential damage as well as addresses the application of novel methods to gather, classify, and analyze data for use in machine and deep learning.

Potential topics for this Special Issue of Sensors include but are not limited to:

  • Experimental dynamic analysis
  • Vibration control
  • Seismic assessment and damage mitigation
  • Active, semi-active, and passive control
  • Failure detection, diagnostics, and prognostics
  • Machine and deep learning

Dr. Eric M. Lui
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • experimental dynamics
  • seismic assessment
  • smart materials
  • intelligent structures
  • data analytics

Published Papers (1 paper)

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Research

21 pages, 17896 KiB  
Article
Stick-Slip Vibration Suppression in Drill String Using Observer-Based LQG Controller
by Rami Riane, Mohamed Zinelabidine Doghmane, Madjid Kidouche, Kong Fah Tee and Sofiane Djezzar
Sensors 2022, 22(16), 5979; https://doi.org/10.3390/s22165979 - 10 Aug 2022
Cited by 5 | Viewed by 2472
Abstract
Hydrocarbon exploration and production activities are guaranteed through various operations including the drilling process, which is realized by using rotary drilling systems. The process involves crushing the rock by rotating the drill bit along a drill string to create a borehole. However, during [...] Read more.
Hydrocarbon exploration and production activities are guaranteed through various operations including the drilling process, which is realized by using rotary drilling systems. The process involves crushing the rock by rotating the drill bit along a drill string to create a borehole. However, during this operation, violent vibrations can occur at the level of the drill string due to its random interaction with the rocks. According to their axes of occurrence, there are three types of vibrations: axial, lateral, and torsional, where the relentless status of the torsional vibrations is terminologically known as the stick-slip phenomenon. Such a phenomenon can lead to increased fatigue of the drill string and cause its abortive fracture, in addition to reducing the efficiency of the drilling process and consequently making the exploration and production operations relatively expensive. Thus, the main objective of this paper is to eliminate the severe stick-slip vibrations that appear along the drill string of the rotary drilling system according to the LQG observer-based controller approach. The rock–bit interaction term is highly nonlinear, and the bit rotational velocity is unmeasurable; an observer was first designed to estimate the unknown inputs of the model, and then the controller was implemented in the drill string model with 10 degrees of freedom. The estimation process was essentially based on surface measurements, namely, the current and rotational velocity of the top drive. Thereafter, the performance of the proposed observer-based LQG controller was tested for different simulation scenarios in a SimScape/Matlab environment, for which the controller demonstrated good robustness in suppressing the severe stick-slip vibrations. Furthermore, the simulation and experimental results were compared to other controllers designed for the same model; the proposed observer-based LQG controller showed better performance, and it was less sensitive to structured disturbances than H∞. Thence, it is highly recommended to use the proposed approach in smart rotary drilling systems. Full article
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