Distinct Vibration Research Articles

Effective control of conductivity in lutetium orthoferrite with cobalt doping measured by terahertz time-domain spectroscopy

The effective control of conductivity in LuFeO3 (LFO) with Co3+ doping is explored by terahertz (THz) time-domain spectroscopy. It is demonstrated that the conductivity of 5% Co-doped LFO (LFO:Co 5%) is lower than that of LFO, while that of 15% Co-doped LFO (LFO:Co 15%) is significantly higher than LFO. Furthermore, LFO exhibits two lattice vibration peaks at 0.58 and 1.61 THz, LFO:Co 5% shows only one lattice vibration peak at 1.61 THz, while no distinct vibration peak is observed in LFO:Co 15%. The disappearance of lattice vibration at 0.58 THz is attributed to the shortened Fe (Co)-O bond length resulting from Co3+ doping, thus suppressing magnetic resonance effect of Fe3+. With 15% Co3+ doping, structural stability is enhanced, and the asymmetric vibration of Lu3+ at surface/interface/boundary is suppressed, resulting in the disappearance of vibration peak at 1.61 THz. The conductivity of LFO:Co 5% is lower than that of LFO, mainly because the lattice vibration at 1.61 THz and oxygen vacancy defects introduced by doping jointly increase the degree of carrier back-scattering, which decreases carrier movement, while the enhancement of conductivity by electronegativity at 5% Co3+ doping is very limited. The significantly higher conductivity of LFO:Co 15% compared to LFO is due to the obvious increase in overall electronegativity and suppression of lattice vibration by 15% Co3+ doping, thereby improving carrier mobility. The insights of this investigation provide important experimental data and theoretical basis for design and production of high-conductivity and stable solid oxide fuel cells cathode.

Insights to the Transition Regimes of Flow-Induced Vibration for Three Tandem Cylinders

Flow-induced vibration (FIV) is a complex phenomenon influenced by the interplay between flow dynamics and structural vibrations. Traditionally, it has been perceived as a threat to structures, but FIV has recently emerged as a promising method for highly efficient energy harvesting. This study focuses on the FIV of three tandem cylinders with varying spacing ratios (L/D) ranging from 1.3 to 4.0 with Reynold number Re of 5800-70000. Three distinct vibration states are identified: separated vortex-induced vibration (VIV) and wake-induced galloping (WIG) at L/D =1.3, continuous VIV-WIG at L/D =1.5, and partially separated VIV-WIG at L/D =2.0. To assess the coupling strength between the cylinders, the concept of vibration coherence is introduced and quantitatively analyzed. For L/D < 2, strong coherence is observed at the natural frequency ({f_{n), resulting in equal interference between the tandem cylinders across all reduced velocities. Conversely, for L/D >= 2, coherence becomes apparent at the vortex shedding frequency (f_v and 2 f_v), indicating linear interference with the reduced velocity. The transaction between the regimes is also accompanied with phase change. The establishment of these regimes, characterized by quantitative coherence, enhances our understanding of FIV in tandem cylinders, facilitating the efficient design of process industrial structures.

Creating and Analyzing Sb-TiO2 Photocatalysts for Effective UV-A Light Degradation of RR 120 and MO Dyes

The earths limited freshwater resources face contamination challenges from industrial processes, particularly synthetic dye release. Photocatalysis using semiconductor materials like TiO2 emerges as a promising solution due to its non-toxicity and potent oxidizing capability. The sol-gel approach was adopted to synthesize bare-TiO2 and Sb-TiO2. The tetragonal crystal structure of TiO2 was verified by the XRD patterns. FT-IR spectra indicate the various bending vibrations, while Raman spectra exhibit the four distinct vibration modes. The UV-DRS absorption spectra detected the bandgaps of TiO2, and Sb-TiO2 catalysts at 3.2, and 3.0, respectively. According to PL analysis, the UV region's sharp peaks are noticeable. FE-SEM and HR-TEM were employed for structural and morphological investigations. Additionally, XPS was then used to further assess the results, confirming that the Sb had loaded over the TiO2 surface effectively. Photocatalytic studies were conducted using a Heber multi-lamp photoreactor, assessing the degradation efficiency of prepared catalysts on two azo dyes (RR 120 and MO) under UV light and evaluated using a UV-Vis spectrophotometer, and the results showed 88.3% for RR 120 and ≈100% for MO dye degradation. Enhanced TiO2 performance by the addition of antimony, demonstrating synergistic benefits in UV light. This approach proves effective in degrading azo dyes, such as Reactive Red 120 and Methyl Orange, offering an environmentally beneficial solution for wastewater treatment.

Investigating bearing and gear vibrations with a Micro-Electro-Mechanical Systems (MEMS) and machine learning approach

Bearings and gears are the pivotal components of mechanical systems and are prone to faults that can impact the system's overall performance. These components' condition monitoring and fault diagnosis are vital for maintaining system reliability and efficiency. In this research, a MEMS setup is initially developed, comprising a Raspberry Pi 4B+ CPU module, a NucleoF401RET6 MCU, an OLED screen, and an Adxl1002z accelerometer for acquiring vibration signals at the desired sampling frequency stored in the CPU memory. Further, an RF model is also developed to classify different types of faults based on features extracted from the acquired vibration data. The model evaluates the precision and reliability of the MEMS setup in capturing and classifying vibration signals. A detailed signal analysis is also conducted to determine the performance of the developed MEMS setup and to investigate the effect of bearing vibration signature due to gear fault and vice versa. The results indicate that bearing faults cause irregularities in the shaft's rotational speed, leading to modulation of the gear mesh frequency (gmf) of gears mounted on the affected shaft. Conversely, gear faults disrupt the shaft's rotational motion, imposing excessive loads on shaft-supported bearings. These disruptions result in distinct vibration patterns characterised by increased harmonics and side bands within the bearing frequency range. The RF model effectively identifies and classifies faults with high accuracy by leveraging its ability to prioritise the most significant vibrational features, resulting in improved predictive performance and robustness.

Analyzing the synergistic effect of Mg on Mentha spicata L. mediated Mn2O3 nanoparticles for energy storage and bio-medical applications

This article describes the facile preparation of cubic structured pure and Mg-doped Mn2O3 nanoparticles by green synthesis method. The prepared pure and Mg-doped Mn2O3 nanoparticles were investigated to determine their structure, functional group, band gap, morphology and composition. The cubic structured Mn2O3 and Mg-doped Mn2O3 nanoparticles were clearly confirmed by X-Ray Diffraction (XRD) and Field Emission Scanning Electron Microscope (FE-SEM) micrographs. Fourier transform infrared (FTIR) spectroscopy spectra revealed two distinct vibration peaks corresponding to the symmetric stretching Mn–O and Mn–O–Mn, which was well supported by the UV and PL outcomes. A Cyclic Voltammetry study was explored for the prepared pure and Mg-doped samples at different scan rates (mV/s). Apparently, Mg-doped Mn2O3nanoparticles exhibited the highest specific capacitance value of 266 F/g with an energy density of 430 Wh/kg. The prepared sample also exhibited antimicrobial activity by showing variation in the zone of inhibition with respect to selected bacteria and fungi. The results of the study suggest that the prepared Mg-doped nanoparticles could act as a promising supercapacitor, anti-biofilm, anti-oxidant agent and water purifier.

Exploring the Regimes of Particle Behavior upon Impact via the Discrete Element Method.

Discrete element method simulations are conducted to probe the various regimes of post-impact behavior of particles with solid surfaces. The impacting particles are described as spherical agglomerates consisting of smaller constituent (or primary) particles held together via surface adhesion. Under the influence of a wide range of impact velocities and particle surface energies, five distinct behavioral regimes-rebounding, vibration, fragmentation, pancaking, and shattering-are identified, and force transmission patterns are linked to post-impact behavior. In the rebounding regime, the coefficient of restitution decreases linearly as impact velocity increases and the particle agglomerate experiences compaction. In the fragmentation regime, rebound velocity generally decreases with increasing fragment size. The rebound velocity of fragments decreases with time except for the smallest fragments, which can increase in velocity due to collisions with other fragments of high velocity. Particle breakage in the pancaking regime does not follow common mechanistic models of breakage.

AI Based Insight Vibrator with Glove for Visually Challenged and Auditory Challenged Individuals

This study introduces a novel assistive tool designed to enhance the communication abilities and sensory experiences of those with physical limitations. Seeing one's environment is one of humanity's greatest abilities. You may see more clearly around you using Eyes because of AI (Artificial Intelligence) data. The most terrible agony a person may experience is losing their vision as a result of problems or a variety of life circumstances. With or without assistance, a blind person can live a free and independent life in a variety of ways. People with impairments are granted certain rights and assistance by several nations worldwide.Users of the Insight Vibrator with Glove can sense and interpret information by means of haptic feedback technology integrated into a wearable glove.The glove is equipped with sensors that translate ambient input into distinct vibration patterns. This innovative technique aims to empower individuals with physical limitations and encourage increased independence and communication by providing them with a more sophisticated knowledge of their surroundings. The study looks at the development, functionality, and design of the Insight Vibrator with Glove, with a focus on how it could help those with physical limitations.

SMART RAIL SAFETY SYSTEM: MONITORING TRACK CONDITIONS AND PREVENTING DERAILMENTS

The proposed Railway Track Management System is designed to detect faults in railway tracks by continuously monitoring track vibrations using accelerometers installed along the track. These accelerometers measure the vibrations caused by passing trains and other environmental factors. When an abnormal vibration pattern indicative of a track fault is detected, the system triggers an alarm using a buzzer and displays a message on an LCD screen located at the control center. One of the key features of the Railway Track Management System is its ability to identify various types of track faults, including track misalignment, cracks, and loose fasteners, based on distinct vibration signatures. By leveraging advanced signal processing algorithms, the system can differentiate between nor- mal track vibrations and those caused by faults, thus minimizing false alarms. Upon detecting a fault, the Railway Track Management System provides real-time notifications to railway maintenance personnel, enabling prompt action to be taken to address the issue before it escalates. Additionally, the system logs and records fault data, allowing for detailed analysis and predictive maintenance planning Index Terms—Railway Tracks, IR sensor, NodeMCU , MAX30102,L298N Motor Driver

Characterizing vibrations and associated wake structures of tandem square cylinders at different angles of incidence

Finite element computations were conducted to investigate the transverse vibrations of three identical tandem square cylinders and the associated wake patterns at a Reynolds number Re = 150. The reduced velocities ranged from U*=3 to 20, and the angles of incidence were set at α=0°, 22.5°, and 45°. The streamwise gaps for these three α were Lx=5H, 3.8H, and 3.5H, respectively, where H represents the projected dimension of the cylinder normal to the freestream. The mass ratio of the cylinders was fixed at m*=2, and damping was neglected to allow the cylinders to attain maximum amplitudes. In the presence of primary vortices being shed from all three cylinders, the upstream cylinder at α=22.5° and 45° exhibits three distinct vibration regimes: initial excitation and upper and lower response regions. On the other hand, due to interaction with the upstream vortices, the two downstream cylinders display four response regions. In the case of α=0°, the dynamic response of the upstream cylinder appears in only two regimes, but with a higher peak amplitude compared to α=22.5° and 45°. Vibration and shedding frequencies closely synchronize with the natural frequency of the spring-mass system in the second regime, leading to high amplitude oscillations for the most upstream cylinder with α=22.5° and 45°. The third response regime for the two downstream cylinders is associated with the lock-in phenomenon. In α=0° and 22.5° configurations, the shedding mode is 2S in all response regimes, while at α=45°, the shedding mode shifts to P + S during the second regime. Up to the second regime, lift and vortex forces are in-phase with the cylinder's oscillation for α=0° and 22.5°, but they go out of phase beyond that. In the case of α=45°, although lift remains in-phase with the displacement in the second regime, the vortex force is found to be out of phase. This study is expected to enhance the understanding of fluid–structure interaction phenomena involved in multiple structures and can aid in the design of stable structures in civil engineering, offshore engineering, and development of energy harvesting devices.

Effect of pulsating flow on flow-induced vibrations of circular and square cylinders in the laminar regime

Through fluid-structure interaction simulations, this study assesses the dynamic response characteristics of elastically mounted circular and square cylinders subjected to pulsating inflow conditions, providing valuable insights into the analysis and optimization of these systems. The main focus of the present work is on analyzing the effects of two factors: (i) the ratio of the oscillatory velocity component to the steady velocity component in pulsating flow (flow ratio) and (ii) the ratio of the oscillation frequency of pulsating flow to the natural frequency of the structure (frequency ratio). The simulation results for different parameters of interest are analysed using Fourier analysis and Poincaré maps of time series data, and contour plots of vorticity. For the circular cylinder, it is found that cylinder loses synchronization in lock-in as the flow and frequency ratios are increased. Three distinct vibration patterns of vortex-induced vibration are observed for selected combinations of flow and frequency ratios at a Reynolds number of 110 for circular cylinder. For the galloping of square cylinder at a Reynolds number of 250, it is found that the instability and nonlinearity of vortex shedding become more pronounced as the flow ratio increases.

Control design of vibrotactile stimulation on weighted vest for deep pressure therapy

Introduction: This study presents a novel weighted vest integrated with vibrotactile stimulation for deep pressure therapy. Following the principles of Morrison's research, we assessed its effectiveness in calming users with four distinct vibration patterns. Method: Ten male participants without ASD history, aged 19-25 and weighing 48-73 kg, provided subjective evaluations using the Comfort Rating Scale (CRS). Result: Results showed that participants reported increased calmness after using the device, as evidenced by the overall ratings of the "calming" term, with the "down" pattern receiving the highest ratings. The study advocates for future work involving physiological sensors to measure the device's effectiveness objectively. While promising, this innovation has limitations, such as fixed vibration frequency and reliance on an adapter for power. Future iterations could address these issues to enhance the device's portability and customizable vibration frequencies. Conclusion: This research contributes to deep pressure therapy and vibration therapy by focusing on responsive patterns and subjective evaluations, opening doors for future developments.

Paroxysmal impulse vibration analysis of an aero-engine dual-rotor system with a defective inner ring for the inter-shaft bearing

Inter-shaft bearings play a central role in connecting high-pressure (HP) and low-pressure (LP) rotors within aero-engines. Local defects in these bearings can lead to two distinct and complex vibration modes—paroxysmal or continuous impulse vibrations, which arise from the unique installation positions. This study offers a comprehensive exploration of the dynamic phenomena, the underlying physical mechanism, and the analytical conditions for the occurrence of paroxysmal impulse vibrations. The local defects of the inner ring are found to induce paroxysmal impulse vibrations when specific rotational speed ratios between HP and LP rotors are achieved. The dynamic differences and connections between paroxysmal and continuous impulse vibrations are contrasted. Three analytic and explicit prediction formulas are derived, enabling the direct calculation of the operating conditions for paroxysmal impulse vibrations. A summarized prediction flow for paroxysmal impulse vibrations is established. In addition, the proposed prediction formulas and flow allow for the prediction of the precise frequency components of paroxysmal impulse vibrations. In the validation of the simulation results, three experimental cases involving inter-shaft bearings with inner ring defects are conducted, confirming the existence of paroxysmal dynamic phenomena and validating the effectiveness of the proposed prediction formulas and prediction flow for paroxysmal impulse vibrations. Hence, this study offers a novel approach to understanding inter-bearing vibration fault mechanisms.

Topological data analysis of TEM-based structural features affecting the thermal conductivity of amorphous Ge

Compared to crystalline materials, amorphous materials lack periodicity and exhibit distinct thermal and lattice vibration properties. Hence, analyzing atomic networks in the transmission electron microscopy (TEM) images of amorphous materials is challenging. In this study, we employ topological data analysis (TDA) and principal component analysis (PCA) to extract structural features from the TEM images of amorphous germanium (a-Ge) and analyze its atomic networks. Our findings demonstrate that the thermal conductivity of a-Ge is influenced by larger atomic rings with more vertices, which facilitates the heat transfer through longer atomic chains and results in a higher thermal conductivity. A comparison of the experimental and simulation data confirms the non-random nature of the atomic arrangements in a-Ge. We propose herein an approach that employs the TDA to identify and analyze the atomic networks in amorphous materials, establishing connections to their thermal properties. This study enhances our understanding of amorphous materials and paves a way for tailored material design and engineering to achieve the desired thermal properties.

Monitoring acoustic vibrations in optical fibers by estimating polarization matrix variation with the integration of coherent optical communication and sensing.

In this paper, we propose a novel architecture called as the Direct-Computation-Sensing Architecture (DCSA) to directly calculates the polarization state changes caused by optical fiber vibrations with training data, offering a more accurate and responsive method than that with adaptive filter-based sensing architectures. We detected the distinct fiber vibration induced by piezoelectric ceramics in an established experimental platform, and recovered a song melody played near the optical fiber buddle from the fiber's polarization changes. We locate the source of the vibration by comparing data from both ends of a bidirectional transmission setup. Lastly, we conducted field tests under conditions involving machine-induced vibrations and natural cable movements.

Automatic Identification of the Working State of High-Rise Building Machine Based on Machine Learning

High-rise building machines (HBMs) play a crucial role in the construction of super-tall buildings, with their working states directly impacting safety, quality, and progress. Given their extensive floor coverage and complex internal structures, monitoring priorities should shift according to specific workflows. However, existing research has primarily focused on monitoring key HBM components during specific stages, neglecting the automated recognition of HBM workflows, which hinders adaptive monitoring strategies. This study investigates the critical states of HBM construction across various structural layers and proposes a method rooted in vibration signal analysis to determine the HBM’s working state. The method involves collecting vibration signals with a triaxial accelerometer, extracting five distinct vibration signal features, classifying these signals using a k-Nearest Neighbors (kNN) classifier, and finally, outputting the results through a classification rule that aligns with the actual workflow of the HBM. The method was implemented in super-high-rise buildings exceeding 350 m, achieving a measured accuracy of 97.4% in HBM working state recognition. This demonstrates its proficiency in accurately determining the construction state and facilitating timely feedback. Utilizing vibration signal analysis can enhance the efficiency and safety, with potential applications in monitoring large-scale formwork equipment construction processes. This approach provides a versatile solution for a wide range of climbing equipment used in the construction of super-tall buildings and towering structures.

Stability and performance benefits of system tautochrones for vibration control

Centrifugal pendulum vibration absorbers have become a prominent means of controlling torsional oscillations that are typically generated by the combustion pulses within an internal combustion engine. The dynamic stability and performance of devices designed to smooth torsional oscillation are highly dependent upon the motion path defined for their pendulous masses. Generally speaking, dynamic responses are more difficult to manage when pendulum and system resonances shift as a function of the excitation levels due to nonlinear effects. As a result, paths for pendulums that are so-called tautochronic, meaning their resonance does not change as the pendulum amplitude varies, facilitate designing vibration absorbing systems that efficiently reduce vibration even as excitation levels increase. Approximate tautochronic paths for centrifugal pendulum vibration absorbers (CPVAs) are typically derived by making simplifying assumptions, which uncouple the pendulum dynamics from that of the rotor (base) system in which it acts upon. The resulting family of motion paths enable absorber designs that generate desirable and reliable vibration absorption, when slightly over-tuned with respect to the excitation frequency. In this paper, we begin the process of relaxing the assumptions that isolate a pendulum subsystem from its operating context by considering the complete system, which consists of a pendulum with inertial-coupling to the base system. For a simplified vibration system related to a CPVA, wherein a base mass rolls on a horizontal plane and a pendulous mass slides within a cut-out on the sliding base mass, we identify shapes of cut-outs that produce system brachistochrone curves. As in the case of a classical brachistochrone for a fixed base mass, we show the system brachistochrone is a system tautochrone, meaning for a range of input energy, system response that includes pendulum and base mass motions together have a constant period. We show that system tautochrones have distinct vibration control advantages, including superior dynamic stability and vibration absorbing performance. Our results provide a guide to how one can find solutions for the analogous CPVA system.

Molecular docking and dynamic simulations of 2-phenoxyaniline and quantum computational, spectroscopic, DFT/TDDFT investigation of electronic states in various solvents

2-phenoxyanline was thoroughly examined using several spectroscopy nuclear magnetic resonance, IR, UV–vis, and quantum mechanical methodologies. D F T with basis set is employed to determine structural optimization and distinct vibration modes. The optimum binding parameters agree closely with the observed binding characteristics. VEDA performed the duties relating to potential energy distribution (PED) satisfactorily. The G I A O approach was adopted to compute chemical shifts in the 13C, 1H- N.M.R and the outcomes were compared to experimental spectra. TD-DFT with PCM model was used to calculate UV–vis with different solvents that, when assessed against observational spectra. The FMO energy provides sufficient proof of such. Molecular docking and dynamic simulations gave a better idea of the interaction of ligands with receptors.

Hybrid wave/current energy harvesting with a flexible piezoelectric plate

We investigate the dynamics and energy production capability of a flexible piezoelectric plate submerged close to the free surface and exposed to incident head gravity waves and current. A theoretical model is derived in which the flag and its wake are represented with a vortex line while the body of the fluid is considered to be inviscid. The model is employed to describe the hydrodynamic interactions between a flexible plate, its wake, gravity incident waves and the current. The model reveals two distinct vibration states of a piezoelectric device corresponding to almost similar optimal energy production levels. The first is associated with the cantilever fluttering mode of the plate, with limited dependency on the plate's flexibility across different Froude numbers and incoming wave frequencies. The other resembles the flow-induced flapping mode in more flexible plates, with the energy output showing a higher dependency on plate flexibility. The concurrent existence of these two energetic modes allows adjustment of the plate length to consistently achieve the maximum energy production level across different flow conditions. The role of the Froude number of the system's responses is explored and correlated to the appearance of gravity wave groups on the surface, each propagating with a different wavenumber. It is shown that a submergence depth of less than half of the body length is required to reach a high energetic condition in subcritical and critical flows. Finally, the optimal inductive and resistive values are related to proper matching between flow, mechanical and electrical time scales.

Analytical study on vibration behaviors of pump-jet–shaft–submarine hull system in wavenumber–frequency​ domain

The pump-jet excitation is transmitted to submarine hull along rotor–shaft system and duct–stator system, which is one of the main causes of structural vibration of the hull. This paper proposes an analytical method for the coupled shaft–submarine hull system. The submarine hull is modeled as a jointed conical-orthogonally stiffened cylindrical–spherical shell coupled with several circular plates. The shaft is modeled with a three-dimensional beam and connected to the hull by bearings. A unified variational modeling procedure is developed to assemble each substructure. The hydrodynamic pressure acting on the rotor and the duct–stator system are respectively considered as single point force and multiple uniformly or non-uniformly spaced point forces acting on the shaft and the conical shell. The vibration displacements are analytically expanded with Fourier series in the circumferential direction. Thus, the wavenumber components that contribute to vibration responses are naturally separated and quantified. The convergence and accuracy of the proposed method are verified by the finite element method. The analytical study on vibration characteristics of the pump-jet–shaft–submarine hull system along distinct vibration transferring paths in circumferential wavenumber–frequency domain is conducted. The results indicate that the rotor excitation can excite more resonance peaks compared to the duct–stator excitation when neglecting the elasticity of the pump-jet propulsor. It mainly owns to the strong circumferential modal coupling and abundant modal contributions when the system is under the rotor excitation. Besides, the non-uniform distribution of external load contributes to the augmentation of resonance peaks compared to the responses under uniform load, which attributes to the participation of extra wavenumber components.

Identification of two vibration regimes of underwater fibre optic cables by distributed acoustic sensing

SUMMARYDistributed acoustic sensing (DAS) enables data acquisition for underwater Earth Science with unprecedented spatial resolution. Submarine fibre optic cables traverse sea bottom features that can lead to suspended or decoupled cable portions, and are exposed to the ocean dynamics and to high rates of marine erosion or sediment deposition, which may induce temporal variations of the cable’s mechanical coupling to the ocean floor. Although these spatio-temporal fluctuations of the mechanical coupling affect the quality of the data recorded by DAS, and determine whether a cable section is useful or not for geophysical purposes, the detection of unsuitable cable portions has not been investigated in detail. Here, we report on DAS observations of two distinct vibration regimes of seafloor fibre optic cables: a high-frequency (>2 Hz) regime we associate to cable segments pinned between seafloor features, and a low-frequency (<1 Hz) regime we associate to suspended cable sections. While the low-frequency oscillations are driven by deep ocean currents, the high-frequency oscillations are triggered by the passage of earthquake seismic waves. Using Proper Orthogonal Decomposition, we demonstrate that high-frequency oscillations excite normal modes comparable to those of a finite 1-D wave propagation structure. We further identify trapped waves propagating along cable portions featuring high-frequency oscillations. Their wave speed is consistent with that of longitudinal waves propagating across the steel armouring of the cable. The DAS data on cable sections featuring such cable waves are dominated by highly monochromatic noise. Our results suggest that the spatio-temporal evolution of the mechanical coupling between fibre optic cables exposed to the ocean dynamics and the seafloor can be monitored through the combined analysis of the two vibration regimes presented here, which provides a DAS-based method to identify underwater cable sections unsuitable for the analysis of seismic waves.