applsci-logo

Journal Browser

Journal Browser

Vibration Analysis of Nonlinear Mechanical Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: 20 November 2025 | Viewed by 517

Special Issue Editors


E-Mail Website
Guest Editor
1. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China
2. School of Aeronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Interests: nonlinear dynamics; nonlinear vibration; vibration control; structural stability
Special Issues, Collections and Topics in MDPI journals
Digital Mining Center, Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 13, 50-421 Wroclaw, Poland
Interests: mechanical engineering; mining machines; rolling mills; dynamic modeling; industrial engineering; automation; computer science; material science; vibration; condition monitoring; data analytics; interdisciplinary
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nonlinearity is widespread in mechanical systems, especially under the influence of material and geometric nonlinearities, where nonlinear mechanical systems exhibit complex dynamic characteristics. Vibration analysis plays a critical role in the design, optimization, and maintenance of nonlinear mechanical systems, as it helps reveal the nonlinear behavior, dynamic properties, and underlying relationships between parameters. To better understand these characteristics, developing efficient vibration analysis method is crucial, including theoretical modeling, numerical simulations, and experimental validation. In addition, the application of active, semi-active, and passive vibration control technologies can effectively suppress the nonlinear vibration, enhancing the stability and performance of nonlinear mechanical systems.

This Special Issue aims to present the latest research results and trends regarding vibration analyses of nonlinear mechanical systems. Key topics include nonlinear dynamic modeling, vibration analysis methods, numerical simulation techniques, the bifurcation and chaos phenomena, and vibration control technology of nonlinear mechanical systems. We welcome original research and review papers that will further advance this field.

Dr. Yong Wang
Dr. Pavlo Krot
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Applied Sciences 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 2400 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

  • vibration analysis
  • nonlinear mechanical system
  • nonlinear dynamics
  • nonlinear vibration
  • vibration control
  • structural stability
  • analytical method
  • bifurcation and chaos analysis
  • nonlinear dynamic behavior

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

23 pages, 5026 KB  
Article
Vibration Control of Passenger Aircraft Active Landing Gear Using Neural Network-Based Fuzzy Inference System
by Aslı Durmuşoğlu and Şahin Yıldırım
Appl. Sci. 2025, 15(19), 10855; https://doi.org/10.3390/app151910855 - 9 Oct 2025
Viewed by 285
Abstract
Runway surface roughness is recognized as a principal cause of passenger aircraft vibration during taxiing, adversely affecting ride comfort, safety, and even human health. Effective mitigation of such vibrations is therefore essential for improving passenger experience and operational reliability. Previous studies have investigated [...] Read more.
Runway surface roughness is recognized as a principal cause of passenger aircraft vibration during taxiing, adversely affecting ride comfort, safety, and even human health. Effective mitigation of such vibrations is therefore essential for improving passenger experience and operational reliability. Previous studies have investigated passive, semi-active, and intelligent controllers such as PID, H∞, and ANFIS; however, the comprehensive application of a robust adaptive neuro-fuzzy inference system (RANFIS) to active landing-gear control has not yet been addressed. The novelty of this work lies in combining robustness with adaptive learning of fuzzy rules and neural network parameters, thereby filling this critical gap in the literature. To investigate this, a six-degrees-of-freedom aircraft dynamic model was developed, and three controllers were comparatively evaluated: model-based neural network (MBNN), adaptive neuro-fuzzy inference system (ANFIS), and the proposed RANFIS. Performance was assessed in terms of rise time, settling time, peak value, and steady-state error under stochastic runway excitations. Simulation results show that while MBNN and ANFIS provide satisfactory control, RANFIS achieved superior performance, reducing vibration peaks to ≤0.3–1.0 cm, shortening settling times to <1.5 s, and decreasing steady-state errors to <0.05 cm. These findings confirm that RANFIS offers a more effective solution for enhancing comfort, safety, and structural durability in next-generation active landing-gear systems. Full article
(This article belongs to the Special Issue Vibration Analysis of Nonlinear Mechanical Systems)
Show Figures

Figure 1

Back to TopTop