Vibrations and Reliability

A special issue of Vibration (ISSN 2571-631X).

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 14605

Special Issue Editor


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Guest Editor
Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada
Interests: vibrations of machines and structures; non-linear vibrations; random vibrations; stochastic mechanics; composite materials and structures; nanocomposites; mechanical and structural reliability and safety
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Special Issue Information

Dear Colleagues,

Mechanical and structural systems possess inherent randomness in their material properties, geometric properties, assembly, failure characteristics, and external loadings. This randomness is caused by modern material processing, component manufacturing, structural construction, mechanical system development, service environment, and in-service loadings. Such randomness is inherent in macro, meso, micro and nano systems. For failure prediction and prevention, safety assurance, and for the design and development of mechanical and structural systems, the effects of the inherent randomness in these systems have to be characterized, quantified, and properly accounted to use appropriate experimental, analytical and computational investigations based on appropriate probabilistic approaches. Systems must essentially characterized based on their reliability. In addition, since both the capacity of and the challenge on these systems are random, conventional design approaches must be replaced with probabilistic design approaches. In this regard, reliability-based design has been established as the versatile design approach. Recent works on the reliability characterization of mechanical and structural systems and reliability-based mechanical and structural design will be of significant interest to the mechanical, aerospace, civil, building, automotive, and materials engineering communities. The present Special Issue focuses on these recent works. Such works include but are not limited to research works on random vibrations, stochastic mechanics, structural reliability analysis, mechanical reliability analysis, probabilistic experimental investigations, and applications of machine learning and AI-based techniques. Research works on material, mechanical and structural systems made of metallic, ceramic, polymeric, and composite materials including nanomaterials and nanocomposites will be considered.

Prof. Dr. Rajamohan Ganesan
Guest Editor

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Keywords

  • random vibrations
  • stochastic mechanics
  • structural reliability
  • mechanical reliability
  • probabilistic mechanics
  • machine learning
  • AI-based techniques

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Published Papers (4 papers)

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Research

26 pages, 9981 KiB  
Article
Observer-Based H∞ Controller Design for High Frequency Stick-Slip Vibrations Mitigation in Drill-String of Rotary Drilling Systems
by Rami Riane, Mohamed Zinelabidine Doghmane, Madjid Kidouche and Sofiane Djezzar
Vibration 2022, 5(2), 264-289; https://doi.org/10.3390/vibration5020016 - 20 Apr 2022
Cited by 14 | Viewed by 3987
Abstract
The drilling process is among the most crucial steps in exploration and production activities in the petroleum industry. It consists of using mechanical mechanisms to crush rocks by the drill bit to pass through the different geological layers. The drill-string continuously transforms the [...] Read more.
The drilling process is among the most crucial steps in exploration and production activities in the petroleum industry. It consists of using mechanical mechanisms to crush rocks by the drill bit to pass through the different geological layers. The drill-string continuously transforms the rotational movement from the top drive motor to the drill bit through the drill pipes. Due to the strong interactions with the rocks, aggressive vibrations can arise in the drill-string in its three dimensions, and consequently, this may create three types of synchronous vibrations: axial, lateral, and torsional. The severe status of the latter is known as the stick-slip phenomenon, and is the most common in rotary drilling systems. Based on field observations, it has been inferred that the high frequency stick-slip vibrations may lead to drill-string fatigues and even to premature rupture. In the best case, it reduces the drilling efficiency by decreasing the rate of penetration, due to which the drilling operations become proportionally expensive. The main novelties of this research work are the design of an H∞ observer-based controller to mitigate the high frequency stick-slip vibrations, and the quantitative analysis of the vibrations’ severity for ten degrees of freedom model. The observer is designed to estimate the non-measurable rotational velocity of the drill bit due to the severity of the vibrations, while the controller is dedicated to suppressing the vibrations by using the top drive inputs. Thus, many scenarios have been considered to test and analyze the observer performance and the controller robustness. Furthermore, a comparison with the LQG observer-based controller has been conducted, where H∞ has demonstrated better efficiency in suppressing the stick-slip vibrations under unstructured perturbations. Full article
(This article belongs to the Special Issue Vibrations and Reliability)
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18 pages, 14366 KiB  
Article
Estimation of Circular Arc Crack Depths and Locations in Rotary Drilling Pipes Subjected to Free Vibrations
by Idir Kessai, Samir Benammar, Mohamed Zinelabidine Doghmane and Kong Fah Tee
Vibration 2022, 5(1), 165-182; https://doi.org/10.3390/vibration5010011 - 4 Mar 2022
Cited by 5 | Viewed by 3290
Abstract
Late detection of cracks can lead to serious failures and damages of drilling components, especially drill pipes and drill bits. Currently, the widely used method of repairing rotary drilling systems after a failure is corrective maintenance. Although this strategy has shown its effectiveness [...] Read more.
Late detection of cracks can lead to serious failures and damages of drilling components, especially drill pipes and drill bits. Currently, the widely used method of repairing rotary drilling systems after a failure is corrective maintenance. Although this strategy has shown its effectiveness in many cases, waiting for a failure to occur and then performing a repair can be an expensive and time-consuming operation. Thus, the use of preventive maintenance under the aspect of periodic inspections can solve this problem and help engineers detect cracks before they reach critical sizes. In this study, modal analysis and finite element analysis (FEA) combined with artificial neural networks (ANN) were used to dynamically estimate the depth and location of a circular arc crack in the drill pipes of rotary drilling systems. To achieve this goal, a detailed analytical approach based on Euler–Bernoulli beam theory was adopted to validate the first four natural frequencies found by FEA for an undamaged pipe. Afterwards, an arc crack was assigned to the pipe already created using Abaqus, and the first four natural frequencies were obtained for each depth and location of the crack. Simulations with FEA led to the generation of a dataset with two inputs—depth and location of cracks—and four outputs: natural frequencies. Moreover, a multilayer perceptron (MLP) was designed and trained by the data collected from simulations. Finally, a comparison between the results obtained by FEA and ANN was performed, where both approaches showed a good agreement in predicting the depth and location of cracks. Full article
(This article belongs to the Special Issue Vibrations and Reliability)
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18 pages, 7575 KiB  
Article
An Interval Process Method for Non-Random Uncertain Aeroelastic Analysis
by Zahra Sotoudeh, Tyler Lyman, Leslie Montes Lucano and Natallia Urieva
Vibration 2021, 4(4), 787-804; https://doi.org/10.3390/vibration4040044 - 21 Oct 2021
Cited by 3 | Viewed by 2490
Abstract
In this paper, we use the Monte Carlo simulation to study aeroelastic behavior caused by non-random uncertain free-stream velocity. For sampling, we use the interval process method. Each family of samples is defined by a correlation function and upper and lower bounds. By [...] Read more.
In this paper, we use the Monte Carlo simulation to study aeroelastic behavior caused by non-random uncertain free-stream velocity. For sampling, we use the interval process method. Each family of samples is defined by a correlation function and upper and lower bounds. By using this sampling method, there is no need for constructing precise probability distribution functions; therefore, this method is suitable for practical engineering applications. We studied the aeroelastic behavior of an airfoil and a high aspect-ratio wing. Full article
(This article belongs to the Special Issue Vibrations and Reliability)
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16 pages, 5082 KiB  
Article
Vibration of Periodic Drill-Strings with Local Sources of Resonance
by Wael Akl, Hajid Alsupie, Sadok Sassi and Amr M. Baz
Vibration 2021, 4(3), 586-601; https://doi.org/10.3390/vibration4030034 - 17 Jul 2021
Cited by 1 | Viewed by 3574
Abstract
A new class of drill-strings is proposed for attenuating undesirable vibrations to ensure effective operation. The drill-string is provided with passive periodic inserts, which are integrated with sources of local resonance (LR). The inserts make the drill-string act as a low [...] Read more.
A new class of drill-strings is proposed for attenuating undesirable vibrations to ensure effective operation. The drill-string is provided with passive periodic inserts, which are integrated with sources of local resonance (LR). The inserts make the drill-string act as a low frequency pass mechanical filter for the transmission of vibration along the drill-string. Proper design of the periodic inserts with sources of LR tend to shift these stop bands towards zones of lower frequencies to enable confining the dominant modes of vibration of the drill-string within these bands. In this manner, propagation of the vibration along the drill-string can be completely blocked. A finite element model (FEM) is developed using ANSYS to investigate the bandgap characteristics of the proposed drill-string with sources of LR. The developed FEM accounts for bending, torsional, and axial vibrations of the drill-string in order to demonstrate the effectiveness of the periodic inserts with LR in simultaneous control of these combined modes as compared to conventional solid periodic inserts, which are only limited to controlling bending vibrations. The effect of the design parameters of the periodic inserts with LR on the bandgap characteristics of the drill-string is investigated to establish guidelines of this class of drill-strings. Full article
(This article belongs to the Special Issue Vibrations and Reliability)
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