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Experimental Modal Analysis of a Flat Plate Subjected To Vibration

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Modal analysis is significant in evaluating the mode shapes generated by a component under vibrational excitation, as the mode shapes can be used to determine the displacement or response of the component under the influence vibration in real life application. Result obtained from the modal analysis will generate a number of resonances which the frequency and damping effect can be determined by measurement. However, determining the accuracy of modal analysis result is somewhat difficult as the experimental results and the results generated by Finite Element Analysis (FEA) solvers can be affected by a number of factors pointed out in this paper. In this study, a flat plate was mounted on an electromagnetic shaker which enabled the excitation of the plate, while results of the response were measured using a transducer attached to the plate. The plate was also modelled using CATIA software and the files transferred to the different FEA solvers such as HYPERMESH, ANSYS 6 Degree of Freedom (DOF) as well as ANSYS 5 degree of freedom, in which the same analysis was carried out to obtain a set of results other than the experimental results. Each FEA solver generated results that were in close proximity with the experimental results, particularly the results generated by ANSYS 5 Degree of freedom. Hence, to ascertain the accuracy of the results obtained from modal analysis experimental procedure, it is important to match up the results generated from different FEA solvers with the experimental results.

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research paper on modal analysis

Shock and Vibration

Antonio Zippo

In this paper, the dynamic behavior of 3D-printed plates with different shapes and boundary conditions is investigated. The natural frequencies and mode shapes were determined using three different methods: the experimental analysis, the finite element method, using Nastran, and the R-functions method. The experimental and theoretical results are compared. The specimens tested included four cases. The test procedure is deeply described, and the material properties of the plates are given. The fixed-fixed configuration shows a better agreement both in the rectangular plate and in the plate with rectangular cuts, and the R-functions method gives better convergence with respect to the experimental and finite element analysis. The simply supported arrangement indicates some uncertainty in the boundary realization of the specimen.

Punit Patel

IRJET Journal

Due to their strong resistance to shocks and vibrations, composite plates have found extensive use in a variety of engineering fields, including the aerospace, marine, and automotive industries. The vibratory behavior of thin plates has evolved into a significant and crucial factor that must be taken into consideration when designing structural elements because it is at the core of many issues that can destroy structures. The positions into which a structure will predictably be displaced are described by mode shapes. Structures cannot be considered safe based on their load-carrying capacity, but they should also be safe considering structural dynamic aspects. The offending mode is identified using modal analysis. This work explores the effect of material, laminate stacking sequence, geometry, and edge conditions on modal behavior. For the analysis, carbon-epoxy and T300/5208 graphite/epoxy composite materials are taken into consideration, and aluminum alloy is taken into consideration for isotropic plate simulations. To investigate how fiber orientation affects natural frequencies and associated mode shapes, the fiber angle is altered. The mode shapes and initial six natural frequencies are obtained. Based on the findings, a better boundary condition is suggested for applications with a narrow operating frequency range.

International Journal of Integrated Engineering

Vibroengineering PROCEDIA

Vedanth Bhatnagar

Anna Danuta Kaczmarek , Kazimierz Orlowski

In this paper results of the square MDF plate and circular saw blades examination with the use of the harmonic method to static identification of resonant frequencies and shapes of mode vibrations are presented. Obtained results revealed that for circular saws with large holes in a saw blade appeared two resonant frequencies for the same nodal number.

Bulletin of the Transilvania University of Braşov

Fetea Marius Serban

The paper aims is to determine the modal and total responses of an isotropic rectangular flat plates. As is known, for the rectangular flat plates, the modal analysis method is applied to an infinite number of degrees of freedom. The study has been made considering the simplifying hypothesis according to which the plate material is isotropic. The studied plate considered in the paper is loaded on its surface by a uniformly distributed harmonic force. In applying modal analysis the damping was considered neglected.

Journal of emerging technologies and innovative research

NILESH NAVAGALE

Kaushal Patil

There are variety of engineering applications where structures subjected to vibrations and uneven noise. There are numerous techniques to study the vibration behavior of structures such as FEA and experimental modal analysis, same in harmonic analysis, mathematical modeling is another way. It predicts various modes of vibration. Plate because of high strength to weight ratio are in use for many structural applications. Such structures are subjected to dynamic load many times over its life span. Strength of these structures is increased by adding stiffeners to its plate. This paper deals with the vibration analysis of stiffened plates which forms the basis of structures. In order to continue this analysis various research papers were studied to understand the previous tasks done for stiffened plate. By considering various profiles of stiffeners and there arrangement studied by all the researchers is tabulated in one window. Various FEA software's like ANSYS WORKBENCH, NASTRAN, HY...

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Title: video-mme: the first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis.

Abstract: In the quest for artificial general intelligence, Multi-modal Large Language Models (MLLMs) have emerged as a focal point in recent advancements. However, the predominant focus remains on developing their capabilities in static image understanding. The potential of MLLMs in processing sequential visual data is still insufficiently explored, highlighting the absence of a comprehensive, high-quality assessment of their performance. In this paper, we introduce Video-MME, the first-ever full-spectrum, Multi-Modal Evaluation benchmark of MLLMs in Video analysis. Our work distinguishes from existing benchmarks through four key features: 1) Diversity in video types, spanning 6 primary visual domains with 30 subfields to ensure broad scenario generalizability; 2) Duration in temporal dimension, encompassing both short-, medium-, and long-term videos, ranging from 11 seconds to 1 hour, for robust contextual dynamics; 3) Breadth in data modalities, integrating multi-modal inputs besides video frames, including subtitles and audios, to unveil the all-round capabilities of MLLMs; 4) Quality in annotations, utilizing rigorous manual labeling by expert annotators to facilitate precise and reliable model assessment. 900 videos with a total of 256 hours are manually selected and annotated by repeatedly viewing all the video content, resulting in 2,700 question-answer pairs. With Video-MME, we extensively evaluate various state-of-the-art MLLMs, including GPT-4 series and Gemini 1.5 Pro, as well as open-source image models like InternVL-Chat-V1.5 and video models like LLaVA-NeXT-Video. Our experiments reveal that Gemini 1.5 Pro is the best-performing commercial model, significantly outperforming the open-source models. Our dataset along with these findings underscores the need for further improvements in handling longer sequences and multi-modal data. Project Page: this https URL

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Video-mme: the first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis.

31 May 2024  ·  Chaoyou Fu , Yuhan Dai , Yondong Luo , Lei LI , Shuhuai Ren , Renrui Zhang , Zihan Wang , Chenyu Zhou , Yunhang Shen , Mengdan Zhang , Peixian Chen , Yanwei Li , Shaohui Lin , Sirui Zhao , Ke Li , Tong Xu , Xiawu Zheng , Enhong Chen , Rongrong Ji , Xing Sun · Edit social preview

In the quest for artificial general intelligence, Multi-modal Large Language Models (MLLMs) have emerged as a focal point in recent advancements. However, the predominant focus remains on developing their capabilities in static image understanding. The potential of MLLMs in processing sequential visual data is still insufficiently explored, highlighting the absence of a comprehensive, high-quality assessment of their performance. In this paper, we introduce Video-MME, the first-ever full-spectrum, Multi-Modal Evaluation benchmark of MLLMs in Video analysis. Our work distinguishes from existing benchmarks through four key features: 1) Diversity in video types, spanning 6 primary visual domains with 30 subfields to ensure broad scenario generalizability; 2) Duration in temporal dimension, encompassing both short-, medium-, and long-term videos, ranging from 11 seconds to 1 hour, for robust contextual dynamics; 3) Breadth in data modalities, integrating multi-modal inputs besides video frames, including subtitles and audios, to unveil the all-round capabilities of MLLMs; 4) Quality in annotations, utilizing rigorous manual labeling by expert annotators to facilitate precise and reliable model assessment. 900 videos with a total of 256 hours are manually selected and annotated by repeatedly viewing all the video content, resulting in 2,700 question-answer pairs. With Video-MME, we extensively evaluate various state-of-the-art MLLMs, including GPT-4 series and Gemini 1.5 Pro, as well as open-source image models like InternVL-Chat-V1.5 and video models like LLaVA-NeXT-Video. Our experiments reveal that Gemini 1.5 Pro is the best-performing commercial model, significantly outperforming the open-source models. Our dataset along with these findings underscores the need for further improvements in handling longer sequences and multi-modal data. Project Page: https://video-mme.github.io

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The future of financial analysis: How GPT-4 is disrupting the industry, according to new research

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Researchers from the University of Chicago have demonstrated that large language models (LLMs) can conduct financial statement analysis with accuracy rivaling and even surpassing that of professional analysts. The findings, published in a working paper titled “ Financial Statement Analysis with Large Language Models ,” could have major implications for the future of financial analysis and decision-making.

The researchers tested the performance of GPT-4 , a state-of-the-art LLM developed by OpenAI , on the task of analyzing corporate financial statements to predict future earnings growth. Remarkably, even when provided only with standardized, anonymized balance sheets, and income statements devoid of any textual context, GPT-4 was able to outperform human analysts.

“We find that the prediction accuracy of the LLM is on par with the performance of a narrowly trained state-of-the-art ML model,” the authors write. “LLM prediction does not stem from its training memory. Instead, we find that the LLM generates useful narrative insights about a company’s future performance.”

research paper on modal analysis

Chain-of-thought prompts emulate human analyst reasoning

A key innovation was the use of “ chain-of-thought ” prompts that guided GPT-4 to emulate the analytical process of a financial analyst, identifying trends, computing ratios, and synthesizing the information to form a prediction. This enhanced version of GPT-4 achieved a 60% accuracy in predicting the direction of future earnings, notably higher than the 53-57% range of human analyst forecasts.

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“Taken together, our results suggest that LLMs may take a central role in decision-making,” the researchers conclude. They note that the LLM’s advantage likely stems from its vast knowledge base and ability to recognize patterns and business concepts, allowing it to perform intuitive reasoning even with incomplete information.

research paper on modal analysis

LLMs poised to transform financial analysis despite challenges

The findings are all the more remarkable given that numerical analysis has traditionally been a challenge for language models. “One of the most challenging domains for a language model is the numerical domain, where the model needs to carry out computations, perform human-like interpretations, and make complex judgments,” said Alex Kim, one of the study’s co-authors. “While LLMs are effective at textual tasks, their understanding of numbers typically comes from the narrative context and they lack deep numerical reasoning or the flexibility of a human mind.”

Some experts caution that the “ ANN ” model used as a benchmark in the study may not represent the state-of-the-art in quantitative finance. “That ANN benchmark is nowhere near state of the art,” commented one practitioner on the Hacker News forum . “People didn’t stop working on this in 1989 — they realized they can make lots of money doing it and do it privately.”

Nevertheless, the ability of a general-purpose language model to match the performance of specialized ML models and exceed human experts points to the disruptive potential of LLMs in the financial domain. The authors have also created an interactive web application to showcase GPT-4’s capabilities for curious readers, though they caution that its accuracy should be independently verified.

As AI continues its rapid advance, the role of the financial analyst may be the next to be transformed. While human expertise and judgment are unlikely to be fully replaced anytime soon, powerful tools like GPT-4 could greatly augment and streamline the work of analysts, potentially reshaping the field of financial statement analysis in the years to come.

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Financial Statement Analysis with Large Language Models

Experimental Modal Analysis Involving the Use of Artificial Intelligence to Accurately Evaluate the Natural Frequencies of Engineering Structures

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research paper on modal analysis

  • Daniela Georgiana Burtea   ORCID: orcid.org/0009-0002-9912-5796 3 ,
  • Rusalin-Lucian Paun   ORCID: orcid.org/0009-0007-9267-3008 3 ,
  • Nicoleta Gillich   ORCID: orcid.org/0000-0001-5445-3468 3 &
  • Gilbert-Rainer Gillich   ORCID: orcid.org/0000-0003-4962-2567 3 , 4  

Part of the book series: Springer Proceedings in Physics ((SPPHY,volume 302))

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  • International Conference on Acoustics and Vibration of Mechanical Structures

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There are several well-known methods that can be used to improve the estimate of the frequency for short signals such as the response of a structure to an impulsive excitation. However, the accuracy of the estimates is insufficient, thus more advanced methods are requested. We propose a machine learning approach to estimate the frequency values between the spectral lines of the Discrete Fourier Transform (DFT). The method involves Artificial intelligence and uses the data obtained by applying the DFT to a sinusoidal signal with known frequency and amplitude and varying lengths in time. The peak amplitudes in the spectrum have a similar shape to that of the sinusoidal signal generated. To determine this amplitude, we preprocess the signal by zero padding. Then we find the frequency and amplitude for three points on the main lobe of the DFT, namely the maximizer and its two neighbors. These points, derived for each signal length, represent the INPUT data used to train an ANN. The OUTPUT data consists of the frequency of the generated signal. Tests performed with generated signals with a different frequency and with data achieved from measurements confirm the validity of the method.

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D.J. Ewins, Modal Testing: Theory, Practice and Application , 2nd edn. (Wiley, London, 2000)

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Doctoral School of Engineering, Babes-Bolyai University, 400084, Cluj-Napoca, Romania

Daniela Georgiana Burtea, Rusalin-Lucian Paun, Nicoleta Gillich & Gilbert-Rainer Gillich

Department of Engineering Science, Babes-Bolyai University, 400084, Cluj-Napoca, Romania

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Burtea, D.G., Paun, RL., Gillich, N., Gillich, GR. (2024). Experimental Modal Analysis Involving the Use of Artificial Intelligence to Accurately Evaluate the Natural Frequencies of Engineering Structures. In: Herisanu, N., Marinca, V. (eds) Acoustics and Vibration of Mechanical Structures—AVMS-2023. AVMS 2023. Springer Proceedings in Physics, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-031-48087-4_35

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Viral Testing for Febrile Infants Without Procalcitonin Measurement

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Caroline Wolek , Cassandra Poirier , Alexandra Yannopoulos , Nathan Kuppermann , Brett Burstein; Viral Testing for Febrile Infants Without Procalcitonin Measurement. Pediatrics June 2024; 153 (6): e2024065689. 10.1542/peds.2024-065689

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Febrile infants ≤60 days old are at risk for bacteremia and bacterial meningitis, collectively termed invasive bacterial infections (IBIs). Recent guidelines from the American Academy of Pediatrics (AAP) recommend that when procalcitonin is unavailable, C-reactive protein (CRP), absolute neutrophil count (ANC), and maximum temperature may be used to identify low-risk infants. 1   Timely access to procalcitonin results is limited in many facilities, whereas rapid multiplex viral testing has become more readily available. 2   , 3   It remains unclear if and how viral test results should be incorporated for risk-stratification of febrile young infants. In this study, we examined the prevalence of IBI using the AAP-recommended combination of CRP, ANC, and temperature, among febrile young infants with and without laboratory-confirmed viral infections, to clarify the role of viral testing when procalcitonin is not available.

This was a secondary analysis of a prospectively collected quality improvement database of febrile infants ≤60 days old at an urban tertiary pediatric emergency department from January 2018 to December 2022. 4   This analysis included all previously healthy, term infants aged 8 to 60 days with rectal temperatures ≥38.0°C measured at home or emergency department triage, meeting AAP Febrile Infant Guidelines inclusion/exclusion criteria. 1   Standardized clinical and laboratory data were collected for all infants, including 30-day telephone follow-up to ascertain final IBI status. In April 2020, 22-plex respiratory pathogen polymerase chain reaction testing (BioFire Diagnostics LLC) replaced a 12-plex viral panel for all febrile infants ( Supplemental Table 3 ). Cerebrospinal fluid testing was performed at clinician discretion. Procalcitonin testing became available in March 2020, but results were not included in this analysis. Infants with CRP ≤20.0mg/L, ANC ≤5200/mm 3 , and maximum temperature ≤38.5°C were considered low risk for IBI. Final IBI classification followed AAP definitions. 1   Groups were compared with Fisher’s exact test (Stata v14.1, StataCorp). A 2-tailed P value <.05 was considered statistically significant. This study received approval from the institutional research ethics board.

There were 1346 infants included for analysis; 1104 (82.0%) were >21 days old, 25 (1.9%) had IBIs, and 836 (62.1%) had viruses detected ( Table 1 ). Using AAP-recommended thresholds, 644 (47.8%) infants met low-risk criteria; none had IBIs. All IBIs occurred among the 702 (52.2%) high-risk infants who had an IBI prevalence of 3.6% ( P < .001 versus low-risk infants; Table 2 ). Among high-risk infants, 289 (41.2%) were virus-negative and 413 (58.8%) were virus-positive. Virus-negative, high-risk infants were at highest risk of IBI (20 of 289; 6.9%), whereas high-risk infants with viral detection had the lowest risk of IBI (5 of 413; 1.2%). Five high-risk infants with IBIs had viral coinfections, 4 of whom had rhinovirus/enterovirus detected ( Supplemental Table 4 ).

Demographic Characteristics of Included Infants, n (%)

IQR, interquartile range; UTI, urinary tract infection.

Prevalence of IBI and Viral Status Among 1346 Febrile Infants Classified as High or Low Risk for IBI

CI, confidence interval.

Includes 156 infants with either rhinovirus (36 of 156; 12-plex panel) or rhinovirus/enterovirus (120 of 156; 22-plex panel) infections. One-sided 97.5% confidence interval.

P < .001 versus low risk.

Recent studies suggest that AAP-recommended thresholds of CRP, ANC, and temperature are accurate for ruling out IBIs, but lack specificity (9%–46%), 4   , 5   misclassifying most febrile infants as high risk. Further risk stratification could help mitigate unnecessary lumbar punctures, hospitalizations, and treatment of infants failing initial low-risk criteria. In this cohort of febrile infants ≤60 days undergoing multiplex viral testing, AAP-recommended thresholds of CRP, ANC, and temperature missed no cases of IBIs; however, most infants did not meet low-risk criteria. Viral status allowed further risk stratification of high-risk infants, and those with confirmed viral infections were at ∼1% risk of IBIs.

The presence of laboratory-confirmed viral infections is associated with lower risks of IBIs, 6   , 7   and affects clinician decision-making for febrile infants. 8   The AAP Febrile Infant Guideline highlights the need for studies clarifying the role of viral testing in managing febrile infants. However, there are limited data to inform how to safely and cost-effectively incorporate viral testing into risk stratification for IBI. 1   Findings from the current study suggest that viral testing may assist clinicians individualize management of high-risk infants when procalcitonin is not available.

This study has limitations. This was a single-center study and the results may not be generalizable to other settings. Only 25 infants had IBIs, although this number was similar to that used to derive clinical prediction rules. 9   With this number of IBIs, it was not possible to stratify risk and viral status by AAP age subgroups meaningfully. Importantly, the risk discrimination added by viral testing depends on the panel used and pathogens tested. The presence of rhinovirus may alter the risk of IBI less than other viruses. 10   In our study, rhinovirus and rhinovirus/enterovirus were considered virus-positive. Rhinovirus/enterovirus infections represented more than one-third of all viral infections among high-risk infants, and 4 of 5 infants with IBIs had rhinovirus/enterovirus detected. We evaluated the AAP-recommended thresholds of CRP, ANC, and temperature, not other cut point combinations. When using these inflammatory markers, targeted use of viral testing for high-risk infants could inform decision-making regarding invasive testing and disposition when procalcitonin is unavailable.

Ms Wolek assisted in data analysis and interpretation, and drafted and critically revised the manuscript; Dr Poirier assisted study conceptualization and design, data collection, analysis, and interpretation; Ms Yannopoulos assisted in data collection, analysis, and interpretation, and reviewed and critically revised the manuscript; Dr Kuppermann assisted in study conceptualization and design, data collection, analysis, and interpretation, reviewed and critically revised the manuscript, and secured funding for the parent study; Dr Burstein assisted in study conceptualization and design, data collection, analysis, and interpretation, drafted and critically revised the manuscript, and secured funding for the parent study; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

FUNDING: Dr Burstein is the recipient of a career award from the Quebec Health Research Fund. Dr Kuppermann is supported by the Bo Tomas Brofeldt endowed professorship from the University of California, Davis School of Medicine. The other authors received no additional funding.

CONFLICT OF INTEREST DISCLOSURES: The authors have indicated they have no conflicts of interest relevant to this article to disclose.

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SYSTEMATIC REVIEW article

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Reviews in Gastroenterology 2023

Electrogastrography Measurement Systems and Analysis Methods Used in Clinical Practice and Research: Comprehensive Review Provisionally Accepted

  • 1 VSB-Technical University of Ostrava, Czechia

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Electrogastrography (EGG) is a non-invasive method with high diagnostic potential for the prevention of gastroenterological pathologies in clinical practice. In this paper, a review of the measurement systems, procedures, and methods of analysis used in electrogastrography is presented. A critical review of historical and current literature is conducted, focusing on electrode placement, measurement apparatus, measurement procedures, and time-frequency domain methods of filtration and analysis of the non-invasively measured electrical activity of the stomach.As a result a total of 129 relevant articles with primary aim on experimental diet were reviewed in this study. Scopus, PubMed and Web of Science databases were used to search for articles in English language, according to the specific query and using PRISMA method. The research topic of electrogastrography has been continuously growing in popularity since the first measurement by professor Alvarez 100 years ago and there are many researchers and companies interested in EGG nowadays. Measurement apparatus and procedures are still being developed in both commercial and research settings. There are plenty variable electrode layouts, ranging from minimal numbers of electrodes for ambulatory measurements to very high numbers of electrodes for spatial measurements. Most authors used in their research anatomically approximated layout with 2 active electrodes in bipolar connection and commercial electrogastrograph with sampling rate of 2 or 4 Hz. Test subjects were usually healthy adults and diet was controlled. However, evaluation methods are being developed at a slower pace and usually the signals are classified only based on dominant frequency. The main review contributions include the overview of spectrum of measurement systems and procedures for electrogastrography developed by many authors, but a firm medical standard has not yet been defined. Therefore, it is not possible to use this method in clinical practice for objective diagnosis.

Keywords: electrogastrography, non-invasive method, Measurement systems, Electrode placement, Measurement apparatus, Signal processing

Received: 19 Jan 2024; Accepted: 03 Jun 2024.

Copyright: © 2024 Oczka, Augustynek, Penhaker and Kubicek. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Jan Kubicek, VSB-Technical University of Ostrava, Ostrava, 708 33, Moravian-Silesian Region, Czechia

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  1. (PDF) Modal Analysis of Structural Vibration

    Modal analysis is a powerful tool to identify the dynamic characteristics of structures. ... IMECE2013-62533ASME Paper on modal analysis.pdf. ... span lang="EN-US">This research analyses the noise ...

  2. Modal Analysis of Fluid Flows: Applications and Outlook

    We summarize several important avenues of ongoing research that are likely to have a significant impact on modal analysis in fluids. A. Beyond Linear Superposition and Separation of Variables. ... As a sequel to the previous introductory overview paper on modal analysis , this document surveyed applications of modal-analysis techniques with the ...

  3. A review of operational modal analysis techniques for in-service modal

    In this paper, operational modal analysis techniques OMA and ISMA are reviewed with their development over the years and their pros and cons discussed. ... OMA became an active subject of research in late 1980s due to the advances in the field of computation . Significant advances in OMA have occurred since the early 1990s .

  4. Modal Analysis of Fluid Flows: Applications and Outlook

    Toward the latter part of the paper, we offer an outlook on modal analysis within fluid mechanics. II. Cylinder Wakes. Flow over a circular cylinder is one of the most fundamental flows in fluid mechanics for its relevance in engineering settings and for capturing the essential features of bluff-body flows [15,16].

  5. Modal Analysis

    Modal analysis is widely used to describe the dynamic properties of a structure in terms of the modal parameters: natural frequency, damping factor, modal mass and mode shape. ... The Structural Dynamics Research Laboratory at the University of Cincinnati has published many scientific papers and reports on the subject, and has included several ...

  6. Review of Using Operational Modal Analysis for Condition ...

    2.1 Frequency-Domain Methods. For the frequency-domain methods, Peak-Picking (PP) is the simplest technique to estimate the modal parameters. PP is named after the key step of the method: picking the peaks from a spectrum plot as the identified eigenfrequencies [].The major issue with the PP method is the accuracy of the identified results, especially for a system with close modes.

  7. Modal Analysis Theory

    Modal analysis, which is a part of the wider subject of structural dynamics, is the theory dealing with the dynamics of mechanical systems described by modes . In this chapter we will show a general approach related to vibrations in mechanical systems with more than one (or two) degrees-of-freedom. We will show that these systems can be ...

  8. Introduction to Experimental Modal Analysis: A Simple Non‐mathematical

    Modal analysis is the study of the dynamic character of a system that is defined independently from the loads applied to the system and the response of the system. This chapter explains some concepts about how structures vibrate and introduces aspects of modal analysis that are used to solve structural dynamic problems.

  9. Experimental Modal Analysis

    Experimental modal analysis (EMA) is a name for the technique of measuring frequency response functions and then using these FRFs to extract the modal parameters of the system (structure), namely the natural frequencies, damping ratios, mode shapes, and modal scaling constants. EMA is a very common application in vibration engineering, where it ...

  10. Modal Analysis of Fluid Flows: An Overview

    This session (121-FC-5) appeared at the 2016 AIAA Aviation Conference * (13-17 June 2016 in Washington, D.C.) and provided the foundation for the present overview paper. In this overview paper, we present key modal decomposition and analysis techniques that can be used to study a range of fluid flows.

  11. Modal analysis and extraction method for the frame structure

    In this paper, a new complex modal analysis method using sequential eigenvalue-shift is developed for the calculation of the modal parameters of the frame structure under SSI effect. Accordingly, a new index of the local modal mass ratio is proposed to quickly and accurately extract the structural modes from many combinations of modes from ...

  12. Linearization of dynamic equations for vibration and modal analysis of

    This paper presents the dynamic model and analytical modal analysis for robotic manipulators with rigid links and flexible joints. Dynamic equations of general robots with both prismatic and revolute joints are firstly developed using the Lagrangian formulation in minimal joint and motor coordinates.

  13. PDF Modal analysis of cantilever beam Structure Using Finite Element ...

    Research Paper Open Access w w w . a j e r . o r g Page 178 Modal analysis of cantilever beam Structure Using Finite Element analysis and Experimental Analysis S. P. Chaphalkar1, Subhash. N. Khetre2, Arun M. Meshram3 1Head of Department, Department of Automobile Engineering, Pimpri Chinchwad ...

  14. Application of operational modal analysis to investigate transformer

    This paper develops an operational modal analysis application framework for vibration measurement-based condition monitoring of transformer winding structure. Within the framework, load transient signals generated by turning on and off transformer or changing transformer load are used as the broadband excitations.

  15. PDF Static Structural and Modal Analysis of Mechanical Component ...

    In the Modal analysis of spur gear results are same with both the tetrahedral and hexahedral meshes are same. So, both are convenient. For modal analysis as we increase the number of modes the frequency of modes increases. REFERENCES [1] Finite Element Analysis of the Oldham Coupling by using ANSYS Md Asif Arshad1 V. K. Titariya2 1M. Tech.

  16. Basics of Experimental Modal Analysis

    Experimental modal analysis deals with the determination of modal parameters, such as natural frequencies, damping properties and mode shapes of a structure through experiments. ... By the 1950s, the FRF was being used in a number of research areas in sound and vibration in order to understand the dynamics of mechanical systems. By the early ...

  17. (PDF) Experimental Modal Analysis of a Flat Plate Subjected To

    Modal analysis is significant in evaluating the mode shapes generated by a component under vibrational excitation, as the mode shapes can be used to determine the displacement or response of the component under the influence vibration in real life ... 2320-0847 p-ISSN : 2320-0936 Volume-5, Issue-6, pp-30-37 www.ajer.org Research Paper Open ...

  18. Research trends in multimodal learning analytics: A ...

    Multimodal Learning Analytics refers to analyzing these signals through the use and integration of these multiple modes. However, a need exists to evaluate how research is conducted in the emerging field of multimodal learning analytics to aid and evaluate how these systems work. With the growth of multimodal learning analytics, research trends ...

  19. [2405.21075] Video-MME: The First-Ever Comprehensive Evaluation

    View a PDF of the paper titled Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis, by Chaoyou Fu and 19 other authors View PDF HTML (experimental) Abstract: In the quest for artificial general intelligence, Multi-modal Large Language Models (MLLMs) have emerged as a focal point in recent advancements.

  20. Papers with Code

    The potential of MLLMs in processing sequential visual data is still insufficiently explored, highlighting the absence of a comprehensive, high-quality assessment of their performance. In this paper, we introduce Video-MME, the first-ever full-spectrum, Multi-Modal Evaluation benchmark of MLLMs in Video analysis.

  21. The future of financial analysis: How GPT-4 is disrupting the industry

    The findings, published in a working paper titled "Financial Statement Analysis with Large Language Models," could have major implications for the future of financial analysis and decision-making.

  22. Mapping Research on Problem-Solving Skills in Physics Education

    This research aims to conduct a bibliometric analysis of literature related to problem-solving abilities in the context of physics learning. Through searching and analyzing relevant publications (articles, conference papers, reviews, and book chapters) using the Scopus database, research trends related to this topic were mapped. A total of 192 publications were obtained using Harzing's Publish ...

  23. ProTrek: Navigating the Protein Universe through Tri-Modal ...

    ProTrek, a tri-modal protein language model, enables contrastive learning of protein sequence, structure, and function (SSF). Through its natural language search interface, users can navigate the vast protein universe in seconds, accessing nine distinct search tasks that cover all possible pairwise combinations of SSF. Additionally, ProTrek serves as a general-purpose protein representation ...

  24. Financial Statement Analysis with Large Language Models

    Based on BFI Working Paper No. 2024-65, "Financial Statement Analysis with Large Language Models". View Research Brief. Recent research from UChicago shows that Large Language Models (LLMs) excel at analyzing written documents such as conference call transcripts and disclosures, and using them to generate informative summaries and accurate ...

  25. Experimental Modal Analysis Involving the Use of Artificial ...

    Modal analysis is a procedure to estimate the natural frequencies of structures and its mode shapes, to get information about the dynamic behavior of the structure [].If it is made in the design phase, numerical simulations on virtual models or experiments on physical models or prototypes can predict the resonant frequencies [].If these are in certain ranges, the functioning of the engineering ...

  26. Viral Testing for Febrile Infants Without Procalcitonin Measurement

    Febrile infants ≤60 days old are at risk for bacteremia and bacterial meningitis, collectively termed invasive bacterial infections (IBIs). Recent guidelines from the American Academy of Pediatrics (AAP) recommend that when procalcitonin is unavailable, C-reactive protein (CRP), absolute neutrophil count (ANC), and maximum temperature may be used to identify low-risk infants.1 Timely access ...

  27. Frontiers

    Electrogastrography (EGG) is a non-invasive method with high diagnostic potential for the prevention of gastroenterological pathologies in clinical practice. In this paper, a review of the measurement systems, procedures, and methods of analysis used in electrogastrography is presented. A critical review of historical and current literature is conducted, focusing on electrode placement ...