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Structural Dynamics and Vibration
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Structural Dynamics and Vibration

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: 20 November 2026 | Viewed by 4133

Special Issue Editor

Dr. Hossein Bisheh

E-Mail Website
Guest Editor
Department of Mechanical Engineering, School of Engineering and the Built Environment, Faculty of Science and Enigneering, Anglia Ruskin University, Chelmsford, Essesx CM1 1SQ, UK
Interests: structural dynamics; mechanical vibrations; composite materials and structures; smart materials and structures; vibration-based energy harvesting; vibration-based structural health monitoring; finite element modeling; biomechanics; additive manufacturing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Understanding the dynamics and vibration of engineering components and structures plays a great role in improving their design and perfomence in real-world scenarios. Developing robust algorithms using theoretical/analytical models and numerical approaches validated with experimental techniques can bridge the gap between the theory and real practice.

This Special Issue of Applied Sciences aims to present the latest advances and research findings in structural dynamics and vibration. It includes analytical, theoretical, numerical, computational, and experimental contributions to enhance our understanding of complex dynamic and vibration behavior in various structural components.

Research articles, review papers, and case studies that address fundamental aspects and practical applications of structural dynamics and vibration are welcome. Contributions that offer new insights on physical systems, explore innovative methodologies, and have emerging applications are particularly encouraged.

Topics of interest for this Special Issue include, but are not limited to, the following:

  • Wave propagation in engineering structures;
  • Vibro-acoustic analysis of engineering structures;
  • Modal analysis;
  • Dynamic response of structures;
  • Vibrational modes of mechanical systems;
  • Theories of damping, resonance, and wave propagation;
  • Vibration analysis in civil, mechanical, and aerospace engineering;
  • Vibration control techniques;
  • Self-excited oscillation;
  • Structural stability;
  • Real-world case studies in building, bridge, and machine dynamics;
  • Vibration isolation and damping systems;
  • Advanced computational techniques in structural dynamics (e.g., FEM, FDM, BEM);
  • Machine learning and AI applications in vibration analysis;
  • Hybrid modeling approaches (e.g., combining experimental data and simulations) in structural dynamics and vibration;
  • Nonlinear dynamics and chaos in structures;
  • Structural health monitoring (SHM) using vibrations;
  • Smart structures with integrated sensors for vibration sensing;
  • Vibration-based energy harvesting;
  • Vibration in novel materials, such as metamaterials.

Dr. Hossein Bisheh
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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

  • wave dynamics
  • wave propagation
  • free vibration
  • forced vibration
  • linear vibration
  • nonlinear vibration
  • oscillation
  • natural frequency
  • stability
  • single-degree-of-freedom
  • multi-degree-of-freedom
  • resonance
  • damping
  • vibrational modes

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Published Papers (5 papers)

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Research

17 pages, 19111 KB  
Article
Modal Analysis–Based Characterization of the Material Properties of a Sawbones Composite Vertebra Model
by Marthe Van den Bogaert, Henrique Duarte Vieira de Sousa, Maikel Timmermans, Konstantinos Gryllias and Kathleen Denis
Appl. Sci. 2026, 16(5), 2433; https://doi.org/10.3390/app16052433 - 3 Mar 2026
Viewed by 378
Abstract
Composite bone replicas are widely used in biomechanical testing as alternatives to cadaveric specimens, with numerical models often complementing or replacing experiments. The reliability of these models depends strongly on accurate material parameters. This study investigates a fourth-generation Sawbones composite L5 vertebra, updating [...] Read more.
Composite bone replicas are widely used in biomechanical testing as alternatives to cadaveric specimens, with numerical models often complementing or replacing experiments. The reliability of these models depends strongly on accurate material parameters. This study investigates a fourth-generation Sawbones composite L5 vertebra, updating cortical material properties under isotropic and transversely isotropic modelling assumptions. Finite element models were calibrated using free-free experimental modal analysis, revealing differences between manufacturer-provided material properties and the measured specimen behaviour. For both models, matching the specimen mass required reducing the cortical density from 1.64 g/cm3 to 1.423 g/cm3. In the isotropic model, the Young’s modulus was reduced from 16,000 MPa to 6500 MPa. In the transversely isotropic model, longitudinal and transverse Young’s moduli were reduced from 16,000 MPa and 11,000 MPa to 6400 MPa and 5500 MPa, respectively, while the shear moduli decreased from 4370 MPa and 6350 MPa to 3500 MPa and 2540 MPa. In both models, the Poisson’s ratio was increased from 0.26 to 0.30. These updates reduced the average eigenfrequency error to 6.12% (isotropic) and 5.83% (transversely isotropic), with the first five modes errors reduced to 3.10% and 2.80%, respectively, substantially improving numerical representation of L5 vertebral mechanics. The updated vertebral FE model and accompanying workflow enhance the reliability of future FE analyses, improve interpretation of Sawbones vertebra biomechanical results, and support vibration-based biomechanical applications such as implant fixation assessment. Full article
(This article belongs to the Special Issue Structural Dynamics and Vibration)
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23 pages, 4285 KB  
Article
Space-Time Reduced Element for Adaptive Finite Element Analysis of Forced Vibration of Elastic String in Maximum Norm
by Quan Yuan and Si Yuan
Appl. Sci. 2026, 16(3), 1632; https://doi.org/10.3390/app16031632 - 5 Feb 2026
Viewed by 329
Abstract
This paper presents, by taking the elastic string vibration problem as the model problem, the space–time reduced element and the corresponding adaptive analysis algorithm. The solution of the space–time reduced element is extracted from the standard two-dimensional (spatial and temporal dimensions) polynomial element [...] Read more.
This paper presents, by taking the elastic string vibration problem as the model problem, the space–time reduced element and the corresponding adaptive analysis algorithm. The solution of the space–time reduced element is extracted from the standard two-dimensional (spatial and temporal dimensions) polynomial element of the Galerkin-type by omitting the highest-degree terms, which serve as a built-in pointwise error estimator for the reduced solution. Taking the reduced solution as the final solution, the proposed adaptivity algorithm can produce solutions from the reduced element that satisfy the user-preset error tolerances in the maximum norm. Theoretical analysis and formulation are presented. Representative numerical examples, including forced vibrations with damping on an elastic foundation and moving load problems, validate the feasibility, effectiveness, and reliability of the proposed method. Full article
(This article belongs to the Special Issue Structural Dynamics and Vibration)
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21 pages, 3343 KB  
Article
Structural Damage Detection Using Adversarially Calibrated Simulations and Deep Learning from Frequency-Domain Signals
by César Peláez-Rodriguez, Álvaro Iglesias-Pordomingo, Sancho Salcedo-Sanz, Antolin Lorenzana and Alvaro Magdaleno
Appl. Sci. 2025, 15(23), 12731; https://doi.org/10.3390/app152312731 - 1 Dec 2025
Viewed by 468
Abstract
Structural Damage Detection is an area that is becoming increasingly important as structure age and become more prone to failure. Early identification of these changes can lead to significant cost savings and potential damage reduction. Conventional data-driven methods typically require large datasets from [...] Read more.
Structural Damage Detection is an area that is becoming increasingly important as structure age and become more prone to failure. Early identification of these changes can lead to significant cost savings and potential damage reduction. Conventional data-driven methods typically require large datasets from both damaged and undamaged structural states, which can be difficult or even impossible to collect in real-world situations. Meanwhile, purely model-based techniques often face challenges in accounting for real-time environmental variations and the complexities of structural behavior. To address this limitation, the proposed methodology in this paper employs a hybrid system that utilizes structural models to generate training data for various structural scenarios, using a methodology based on the concepts of Generative Adversarial Networks to find the optimal excitation parameters for the model, aiming to produce response levels as close as possible to those obtained experimentally. This data serves as input for training algorithms to classify the structural condition based on the frequency information of temporal acceleration signals. The results show that the neural-based computational learning techniques are able to achieve efficiency rates above 99% in damage localization and almost 97% in severity estimation over 2 min-long experiments on a four-story lab-scale shear building. Full article
(This article belongs to the Special Issue Structural Dynamics and Vibration)
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13 pages, 5065 KB  
Article
Damping Optimization Design of Plant Fiber-Reinforced Composites for Subway Interior Structures
by Songli Tan, Andong Cao, Zhen Zhang and Qian Li
Appl. Sci. 2025, 15(22), 12281; https://doi.org/10.3390/app152212281 - 19 Nov 2025
Cited by 3 | Viewed by 773
Abstract
The optimization of material design for subway interior structure is crucial for noise reduction and sustainability. Plant fiber-reinforced composites (PFRCs) used as interior structures offer both adequate load-bearing capacity and vibration reduction. In this study, a hybrid fiber technique was employed, integrating the [...] Read more.
The optimization of material design for subway interior structure is crucial for noise reduction and sustainability. Plant fiber-reinforced composites (PFRCs) used as interior structures offer both adequate load-bearing capacity and vibration reduction. In this study, a hybrid fiber technique was employed, integrating the Hashin failure criterion and complex eigenvalue method to investigate bending and damping performances of five distinct carbon/flax fiber-reinforced epoxy composite (CFFRC) stacking sequences (C80, C20F20C20, F15C20F15, F10C10F10C10F10, and F40) of an interior structure. The CFFRCs were fabricated via a hot press platen process with a consistent 60% overall fiber volume fraction. The experimental modal behaviors (damping ratios, frequencies, and mode shapes) were clarified by vibration tests using a non-contacting 3D Scanning Laser Doppler Vibrometer. The results revealed that hybrid composites can effectively balance the mechanical and damping properties. Hybrid composites with the flax fiber positioned in the outermost layer demonstrated superior damping performances. The optimal hybrid composite (F10C10F10C10F10) achieved a first-order modal damping ratio of 0.75% (numerically), which is significantly higher than the 0.30% observed for pure carbon fiber composites (C80). The numerical model’s validity was confirmed by a strong correlation with experimental results. It provides valuable parameters for designing safe and reliable subway interior structures, integrating load-bearing and damping capabilities. Full article
(This article belongs to the Special Issue Structural Dynamics and Vibration)
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19 pages, 5713 KB  
Article
Integration of Theoretical and Experimental Torsional Vibration Analysis in a Marine Propulsion System with Component Degradation
by Quang Dao Vuong, Jiwoong Lee and Jae-Ung Lee
Appl. Sci. 2025, 15(21), 11423; https://doi.org/10.3390/app152111423 - 25 Oct 2025
Viewed by 1584
Abstract
This study investigates torsional vibration characteristics in an aged coastal car ferry propulsion system using theoretical calculations based on the Matrix method alongside experimental measurements. While the measured torsional vibration at the propeller shaft remained within the limits, it was significantly higher than [...] Read more.
This study investigates torsional vibration characteristics in an aged coastal car ferry propulsion system using theoretical calculations based on the Matrix method alongside experimental measurements. While the measured torsional vibration at the propeller shaft remained within the limits, it was significantly higher than the calculated values, particularly at the 5th harmonic order excited by engine combustion. Negative torque peaks observed during transient clutch engagement caused gear hammering. Structural vibration analysis identified potential gearbox defects, such as wear or misalignment. Multiple torsional vibration calculation models were developed considering various degrees of degradation of the aged rubber blocks and viscous torsional damper. A model assuming that the damping capacity of damper drops to about 1%, corresponding to the specified values at 125 °C, produced results that closely reproduced the measured vibration characteristics. The finding, confirmed by an actual inspection, identifies viscous oil leakage and deterioration of the damper as the primary cause of excessive vibration. Prompt replacement of the viscous oil is recommended to improve torsional vibration behavior. Full article
(This article belongs to the Special Issue Structural Dynamics and Vibration)
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