Banner
Products | Solutions | Services | Courses | Webinars | Partners | Support & Downloads | News | Company Home | Search | Help

Tech Tips

The following Tech Tips were previously published in the FEMtools News newsletter:

For technical papers, click here.

 

Full Field Modal Analysis using FEMtools MPE

Researchers at Technical University Vienna (Austria) and University of Bologna (Italy) have used FEMtools MPE to process massive amounts of vibration data collected with modern full field measurement technologies.

In the framework of the EU-sponsored TEFFMA project (Towards Experimental Full Field Modal Analysis, FP7-PEOPLE-2011-IEF-298543), a comparison is made by means of challenging optical technologies (SLDV, Hi-Speed DIC, Dynamic ESPI) on the same broad band vibration measurement problem of a lightweight plate, with different spatial resolution and quality of the measured patterns. For each measurement, an experimental modal model is extracted and finite element model updating results are compared between different full field technologies. The results expected from this research will strengthen the path of full field technologies in mechanical engineering and other fields, ranging from aerospace to vehicle technologies, electronic components, and advanced material behaviour analysis.

The following figure shows an example of such high-resolution mode shape. Full field measurements were taken at 49042 points resulting in FRFs at 1285 frequency lines and occupying several GB of disk space per experiment. All FRFs of an experiment could be imported in FEMtools and efficiently processed by the Modal Parameter Extractor (MPE) add-on for extraction of mode shapes.

Full Field Modal Analysis (TEFFMA Project)

Plate mode shape at around 246 Hz obtained using FEMtools MPE, from FRFs measured by ESPI using a 226x217 measurement grid.

For more information, see the following resources:

See also:
FEMtools Modal Parameter Extractor (MPE)

 

Scenario-Based Damage Identification

Damage has a direct impact on the modal parameters of structures. However, finding the location and severity of the damage from the modal parameters is a challenging task. This is because damage identification problems are in general highly undetermined, i.e. the number of potential damage locations is much higher than the size of the experimental data set.

In a paper written by DDS engineers [1], the concept of a damage scenario-based framework was presented that tries to overcome this problem by both increasing the size of the experimental data set and reducing the number of investigated damage locations.  Using a carefully validated FE model of the undamaged structure, the effects of a number of damage scenarios are simulated. Eventually, the identification routine detects the fingerprints of the damage scenarios in the frequency pattern of the damaged structure.

The scenario-based damage identification framework has been evaluated and showed promising results. It appears to be possible to decompose the measured frequency pattern into the signatures of a series of pre-defined damage scenarios. The scenario-based approach seems to be capable of not only identifying the location of the damage but also the degree of damage. It is a realistic assumption that only a limited number of damage scenarios with high probability can be expected most mechanical and civil structures. This situation can be enforced by introducing weak spots in a built structure and monitoring damage on these spots only, thus introducing manufactured damage scenarios.

In a follow-on paper by a Hansen et al [2], the same concept was further investigated with a focus on the practical considerations which are crucial to the applicability of a given vibration-based damage assessment configuration. The technique is demonstrated on a laboratory test case using automated OMA. to simulate the practical situation of ice accretion on wind turbine blades. Ice accretion on the rotor blades of a wind turbine leads, among other things, to added loads, safety issues and diminished aerodynamic performance of the airfoil. This type of perturbation constitute an added mass and occurs frequently in northern regions. The presented technique could be implemented directly to localize and quantify ice accretion.

References:

[1]   T. Lauwagie, E. Dascotte, A Scenario-based Damage Identification Framework. Presented at the 30th International Modal Analysis Conference (IMAC), February 2012, Jacksonville, Florida, USA.
Download (PDF, 0.85 MB)

[2]   J.B Hansen, R. Brincker, M. Lopez- Aenlle, C.F. Overgaard, K. Kloborg, A New Scenario-based Approach to Damage Detection using Operational Modal Parameter Estimates. Mechanical Systems and Signal Processing 94 (2017) 359-373.

For more information, contact support@femtools.com

 

FRF-Based vs. Modal-Based Model Updating

For the purpose of finite element model validation, any test data that is reliable and relevant can be used. Some people give preference to using raw, unprocessed test data. In the field of structural dynamics, it can be discussed if it is better to use FRFs (Frequency Response Functions defined as response spectra divided by input force spectra) or the mode shapes that can be extracted from these FRFs.

Mode shapes are a powerful mathematical tool to represent the dynamics of a structure. Although limited to linear behavior and best used with lightly, proportionally damped structures, they allow a condensation of the often massive amount of FRF data. Working with a condensed set of data is more practical for FE-Test correlation and helpful to gain understanding of the gap between FE simulation and the true structural behaviour through the examination of modes shapes and resonant frequencies. For solving the FE model updating problem, requiring to minimize an objective function that describes the distance between FE and test, it is common to use a gradient-based optimization approach. The definition of the updating problem in terms of response residues (differences between comparable FE and test structural responses), computation of the gradients, and optimized parameter estimation all benefit from using the relatively compact set of modal data compared to the FRFs. The benefit comes from the ease of use and data handling, and computation speed. 

The use of FRFs would be mandatory in case target modal parameters are not available or cannot extracted from the FRFs with confidence. For example, when the structure exhibits high non-proportional damping, high modal density, or nonlinear behaviour. Another benefit of FRFs is that amplitude levels are sensitive to damping. In the modal approach, the extracted modal damping, which is known to be highly unreliable, can only be used as input for the FE analysis. From FE computional point, modal superposition is still the industry standard tool for simulating FRFs. One can therefore state that if analytical mode shapes are used for simulating the FRFs, then these are the raw data and should be used for validating the FE model. On the other hand, test FRFs represent the true response of a structure under given test conditions, and therefore they reflect the true non-linear nature and real physical damping of a structure.  If it is the objective of validating and updating an FE model to incorporate those properties in the model, then one cannot do with mode shapes. Vice versa, if the FE model is intended to be a linear and simplified representation of the real world behavior, then using FRF-based updating may result in residual discrepancies between the simulation and test FRFs that cannot be overcome by updating, due to missing refinement and necessary physical parameters in the FE model.

In summary, when extraction of modal parameters from FRFs is not recommended,  when analytical FRFs are computed using a direct method, or when the updating parameters include damping, then FRF-based updating should be seriously considered. In all other cases, the modal approach is preferred. If only experimental FRFs are supplied, then the FEMtools MPE tool can be used for modal parameter extraction.

   

An example of FRF-based (left) and modal-based correlation and model updating using FEMtools Model Updating.

For more information:

E. Dascotte, J. Strobbe, Updating Finite Element Models using FRF Correlation Functions, Proceedings of the 17th International Modal Analysis Conference (IMAC), February 1999, Kissimmee, Florida. Download (PDF, 98 KB)
FEMtools Modal Parameter Extractor (MPE)
FEMtools Model Updating

 

Modal Extraction for the FE Analyst

Testing and simulation are traditionally done by separate teams. Test engineers will hand test results over to FE analysts who use them for the FE model validation and updating process. Test data has an important role in the validation process and serves as the reference, representing the true physical behaviour of the structure during the specifically designed validation test. Considering the important role of test data in the validation process, it is mandatory to adopt the highest standards with respect to equipment, operator training, data processing and reporting.  The quality of the test result must be guaranteed in order to make subsequent use of it for decision making during model validation and updating. Double checking of the test data by an independent expert may be required as part of a quality assurance standard.

In case validation testing is based on experimental modal analysis, the FE analysts working on model validation will usually be provided with only the modal parameters (resonant frequencies, mode shapes, modal damping).  The data must be accompanied by a detailed report on the test conditions and processing that was done.  However, it is recommended to also provide the analysts with the raw test data and the software tools to double-check modal extraction done by the test team. This provides them an opportunity to gain additional insight in the response of the structure under test and for making informed decisions during the updating process.

Modal analysis of a satellite structure using the global MPE applet.

The FEMtools Modal Parameter Extractor (MPE) add-on tool is a high performance tool that can be used by FE analysts with only minimal training to obtain modal parameters from Frequency Response Functions or output-only time histories. The polyreference method that is used produces very clean stabilization charts and reduces the often subjective separation between physical and mathematical poles. Complemented by validation tools and a local curvefit method for data that is affected by mass loading, this add-on tool provides a fast and easy way to increase confidence in the modal parameters by double-checking. In case different results are obtained, the FE analyst has good reasons to inquire with the test team and demand their confirmation of results.

See also:
Automated Operational Modal Analysis
FEMtools Modal Parameter Extractor (MPE)

 

Structural Health Monitoring of Piping Systems using Modal Analysis and Finite Element Model Updating

Safe operation, availability and lifetime assessment of piping are of utmost concern for plant operators. The knowledge on how failures in piping and its support construction are reflected in changes of the dynamic behavior is a useful basis for system identification and Structural Health Monitoring (SHM).

Modal analysis of complex piping, the identification of system changes and the use of vibration dampers in piping still constitute challenges. Researchers at the MPA University of Stuttgart in Germany used Operational Modal Analysis (OMA), finite element modelling and model updating to study changes in the natural frequencies and corresponding mode shapes due to through-wall cracks or changing boundary conditions.

One part of their study involved the design of a new type of tuned mass damper (TMD) that was first tested in the laboratory of MPA. Using detailed FE modelling, updated by OMA, provided the information necessary to adapt these TMD for efficiently cancelling the resonances in a piping system of a chemical plant.

In another part of their research, the influence of local wall thinning on the eigenfrequencies and mode shapes of a laboratory piping system was evaluated. Using sensitivity analysis and FE model updating it was found that rotational spring stiffness of the supports were important parameters for successful model updating. FEMtools was also used to sort a large number of local mode shapes which led towards the detection of a high order mode that showed a collapse-like motion at the exact position of the local wall thinning. 

MPA Piping System

Comparison of the higher order mode shape of two FE models, without (left) and with (right) local wall thinning in the elbow. Eventhough the change in eigenfrequency was very small, an 8% change in Modal Assurance Criterion (MAC) was observed, which was significantly higher than all other mode shapes.

The correlation between FE analysis and modal testing for this particular mode shape was demonstrated to be most sensitive for local wall thinning at the elbow, compared to other (lower order) mode shapes. This finding suggests that it might be possible to design a structural health monitoring device that is capable to detect mode shape changes such as this, for example by using a laser doppler vibrometer and automated scanning robots which make it possible to get experimental modal data at a resolution close to that of the FE-model. Used on a regular basis in an operational plant, such device can be a cost-efficient tool to prevent structural failure.

More information can be found in the following paper:

G. Hinz, K. Kerkhof, System Identification and Reduction of Vibrations of Piping in Different Conditions, Proceedings of the ASME 2013 Pressure Vessels & Piping Division (PVP2013), July 2013, Paris, France.

 

Multi-Model Updating

Multi-Model Updating (MMU) is simultaneous updating of multiple finite models that each correspond with a different structural configuration, but that share common updating parameters. If for each configuration modal test data is available, then MMU is used to combine the sensitivity information from every configuration and in this way increase the number of updating targets. This will lead to an improved condition for model updating compared to using only a single test.

For example, solar panels for satellites can be tested during different stages of deployment. A finite element model and modal test data can be obtained that correspond with each stage of deployment. This provides a richer set of test data to serve as reference for updating element properties that are common in all configurations. Such properties can be, for example, joint stiffness or material properties. Using only a single stage of deployment would not provide sufficient information to identify all properties. Another example is composite material identification using tests on plates and coupons with different geometries. This will introduce more mode shape types and possibly also redundant test data for improved identification of material properties.

FEMtools Model Updating includes an MMU automation tool that collects the FE and test data for each configuration and automates the process of sensitivity analysis, sensitivity matrix assembly, parameter updating, and FE re-analysis. This makes MMU a straightforward and easy to use process.

For more information, contact support@femtools.com

 

Bottom-Up Versus Top-Down Approach for Model Validation and Updating

Validating and updating a finite element model in a bottom-up procedure is in general more rewarding than a top down approach. The bottom-up approach naturally follows the validation pyramid with coupon and component testing a the base, building up to sub-assemblies and finally to full assemblies at the top. At each level the complexity is increased and joints are added. For updating purposes, this means that the updating parameters for each model to be validated are limited to the uncertain parameters introduced at the level under study. Components that have been validated previously can be frozen as superelements and added to an assembly at a higher level.  In a top-down approach, the selection of relevant updating parameters would be a serious challenge given the large number of potential parameters in an assembly. It is also more difficult to conduct validation experiments if the assembly is a large structure, and in a top-down approach these would be the only validation experiments.

The bottom-up approach to model validation and updating is supported in a natural way by the dynamic substructuring methods that are available in FEMtools. Using substructuring, the different components that constitute an assembly are modeled, tested and updated separately. Updated components are frozen as Craig-Bampton superelements. Repeated tests at different phases of the assembly allow focusing on the modeling of joints. Component modes synthesis is used to obtain the responses of the assembly.

For more information, contact support@femtools.com

 

Automated Operational Modal Analysis

A vibration monitoring system, combined with a structural health evaluation system, enhances safety by allowing better planning of inspections and maintenance work. Such a system may include an Operational Modal Analysis (OMA) tool to extract mode shape from acceleration, velocity, displacement or strain time histories in situations that the dynamic loads are unknown. This is typically the case for large structures like for example bridges, offshore platforms, or aircraft.

If the modal extraction process is automated then the modal parameters (resonant frequency, mode shapes and modal damping) can be monitored 24/7 over long periods of time, ideally covering the entire operational lifetime of the structure. They can be used for applications like FE model updating and damage identification. If  the deformation of the structure is also monitored, then modal parameters, in combination with an updated finite element mode, are also used for dynamic stress recovery at all locations of the structures as an alternative to strain gauges.  These stress are in turn used for accumulated fatigue monitoring.

The FEMtools Modal Parameter Extractor (MPE) add-on tool can be used for OMA. A high performance poly-reference Least Squares Complex Frequency (pLSCF) method is used that produces very clean stabilization charts and therefore lends itself for automated modes extractions.  The MPE add-on also provides Digital Signal Processing (DSP) tools such as decimation, filtering, detrending, selecting reference channels and computing cross-power spectra. The integration within the FEMtools Framework allow for automation and combination with all the other FEMtools modules like FE-test correlation, model updating, and optimization. The availability of an extended function library for data manipulation, graphics display, interfacing with SQL databases and many other tasks, position FEMtools as an ideal platform for custom development of structural health monitoring and evaluation systems. A case study is described in the following conference paper:

E. Dascotte, Vibration Monitoring of the Hong Kong Stonecutters Bridge. Presented at the 4th International Conference on Experimental Vibration Analysis for Civil Engineering Structures (EVACES 2011), October 3-5, Varenna, Italy.
Download (PDF, 1.0 MB)

For more information, contact support@femtools.com

For other papers, click here

 

Working with Abaqus Condensed Matrices

ABAQUS can condense stiffness and mass matrices at external nodes and enriched by Craig-Bampton component modes synthesis. This is equivalent to the use of superelements in FEMtools and other finite element programs.

FEMtools 3.5.2 comes with a new interface to import superelement matrices condensed with ABAQUS. Once imported in FEMtools, the ABAQUS condensed matrices can be used as a standard superelement in every FEMtools analysis that supports superelements.  This feature allows, for instance, the management in FEMtools of large assembled FE models that use ABAQUS specific features like tie-contact without loss of accuracy, mixing condensed parts to a residual FE mesh. Similar functionality exists for superelements imported from NASTRAN.

The superelement reduction can be used to speed-up pretest analysis, dynamic analysis, correlation analysis on large assemblies and even model updating of the residual part of the FE model. Using a wireframe connection between the external nodes, FEMtools allows the visualization of mode shapes using a ?test model? look and feel. 

For more information, contact support@femtools.com

 

Geometry Updating

The concept of geometry updating was explored in a recent study of the cast iron lantern housing of a gear box. The resonant frequencies and mode shapes of the test structure were measured using impact testing. Next, a set of digital pictures were taken from a number of different angles. By means of photogrammetry, these pictures were converted into a surface model that represented the actual geometry of the lantern housing. This surface model was then compared with an FE-model derived from a CAD-model of the lantern housing. In this way, the regions where there was a substantial difference between the actual geometry and CAD-model could be identified. Finally, the geometry of the FE-model was corrected based on the measured geometry using a mesh morphing technique. For the considered test case, the correction of the geometry provided a significant improvement of the quality of FEM-test correlation of the modal parameters.

The project demonstrated that only a limited number of geometry measurements are needed to update a CAD-based geometry using mesh morphing techniques. With geometry updating it is possible to eliminate most of the uncertainty on the geometry. As such, geometry updating eliminates, or at least reduces, the need for equivalent parameter changes to compensate the effects of geometrical inaccuracies. As the updating process provides parameter changes that are physically more relevant, the application range in which the updated FE-model can be used as a reliable predictive tool for design optimization can be increased.

Improving the accuracy of the FE model to predict a larger number of mode shapes covering a wider frequency range, increases chances to detect damages or manufacturing issues by monitoring the modal parameters. Combined with automated testing and metrology, this opens up the perspective of a modal-based quality inspection tool.

Two technical papers on this subject were presented at the international conferences and are now available for download from the FEMtools website:

T. Lauwagie, E. Dascotte, Geometry-based Updating of 3D Solid Finite Element Models.  Presented at the 29th International Modal Analysis Conference (IMAC), February 2011, Jacksonville, Florida, USA.
Download (PDF, 1.0 MB)

T. Lauwagie, F. Van Hollebeke, B. Pluymers, R. Zegels, P. Verschueren, E. Dascotte, The Impact of High-Fidelity Model Geometry on Test-Analysis Correlation and FE Model Updating Results.  Presented at the International Seminar on Modal Analysis 2010 (ISMA), September 20-22, 2010, Leuven, Belgium.
Download (PDF, 0.75 MB)

 

ODS-Based Model Updating

Finite element model updating is a well established method for validating and improving simulation models in structural dynamics. The traditional approach consists of correlating simulation data with the results of an experimental modal analysis (EMA). Natural frequencies and mode shapes extracted from frequency response functions are preferred as references since they are independent of the applied loads.

However, the operational loads or boundary conditions can change the dynamic behavior of a structure, or make it impossible to perform an experimental modal analysis with measured or controllable dynamic loading. In such cases, only operational data can be used as reference data for model updating. Additionally, updating a model using operational data automatically guaranties the validity of the model under the considered operational conditions.

DDS recently introduced a new method in FEMtools for model updating based on Operational Deflection Shapes (ODS)  that is able to update the mass, stiffness and damping properties of a structure simultaneously. A technical paper describing the method is available for download:

T. Lauwagie, J. Guggenberger, J. Strobbe, E. Dascotte, Model Updating using Operational Data.  Presented at the International Seminar on Modal Analysis 2010 (ISMA), September 20-22, 2010, Leuven, Belgium.
Download (PDF, 1.0 MB)

More technical papers on different subjects can be found here

 

Free Online Tutorial on Using Reprise License Manager

Reprise Software, the developers of the RLM license manager that is used in FEMtools, has conducted a number of on-line tutorials designed to help licensed software end users get more value out of the Reprise License Manager (RLM). The recorded sessions can now be viewed from the Reprise Software website at  http://www.reprisesoftware.com/support/end-users.php.

For more information on tutorials, see the Reprise Software Blog. FEMtools users are encouraged to subscribe to this blog to receive regular news about the RLM license manager.

 

Mapping Laser Scanning Measurements on a FE Mesh

Laser vibrometry or electronic holography can be used to obtain vibration modes which in turn can be correlated with finite element results. Each experimental mode shape will typically be presented as a dense cloud of scanning points with each point moving in the direction of the laser or camera. Analyzing the correlation of these vibration modes with a finite element model poses some specific problems with respect to mapping the scanned surface onto FE model, identifying and extracting the corresponding translation degrees of freedom, averaging for measurement noise and computing numerical correlation criteria.

DDS has recently developed a custom solution for postprocessing a set of data files containing measured vibration modes with an ANSYS finite element model of a turbine blade. Written in FEMtools Script, this solution automates the entire work flow and reporting of results. It can be integrated into the FEMtools menus or operated in batch mode for processing large quantities of data or as part of an integrated quality inspection system.

For more information, contact support@femtools.com

 

Estimating Rigid Body Properties from FRF Measurements: A New FEMtools Add-On Tool

Dynamic Design Solutions announces the upcoming release of FEMtools Rigid Body Properties Extractor, a new tool to obtain the mass (M), center of gravity (CoG) and mass moments of inertia (MoI) from  the low-frequency portion of measured accelerances (FRFs). These properties are useful to serve as targets references in updating the finite element model of the tested structure, or to reduce components to lumped masses for model reduction in structural dynamics simulations or motion analysis.

Obtaining the rigid body properties is done in 2 steps. First, the rigid body responses (called "mass lines") must be extracted from the FRFs. The mass line corresponds to the value of the flat part of the response located between the low-frequency suspension modes and the elastic modes. These values are obtained by using a least squares fit of a low order polynomial (e.g. quadratic approximation). Once the mass line values are known, then the rigid body mass properties are obtained in the second step by solving a set of algebraic equations.

Experimental data are imported from a Universal File (UF) or other. The FRFs must satisfy some requirements with respect to the measurement configuration (acceleration/force obtained from a freely suspended structure), and the number and positioning of excitation and response locations. If these conditions can be satisfied, then the proposed method presents a low-cost and fast alternative to traditional pendulum techniques. 

FEMtools Rigid Body Properties Extractor Control Panel
FEMtools Rigid Body Properties Extractor Control Panel (click to enlarge). 

The FEMtools Rigid Body Properties Extractor comes as an add-on to any FEMtools configuration. It is an interactive tool that allows the user to display the FRFs, define a frequency band between the suspension modes and elastic modes, and analyze the mass line values. An inertia box visualizes the equivalent mass volume with animation of rigid body modes.  The rigid body properties (M, CoG and MoI) are displayed in real-time using tabular format with several error estimates. They can be exported for use in other programs or be used as updating targets in FEMtools Model Updating.

This new exciting add-on is now available for beta evaluation. For more information and to request an evaluation copy, contact info@femtools.com

 

Ogden Material Identification using FEMtools Optimization

The Ogden material model is frequently used in finite element programs to simulate the behavior of non-linear elastomers. The values of the material parameters of the Ogden model are highly material dependent. The main challenge in using the Ogden model in finite element simulations, is to find reliable estimates for the values of the Ogden material parameters. The relation between an imposed displacement and the resulting reaction force can be used to identify these material parameters using a mixed numerical-experimental approach. In this approach, the objective is to fit the simulated reaction force curve onto the measured reaction force curve. The computationally most efficient way of doing that is by using a gradient-based optimization strategy.

Such identification routine was implemented using FEMtools Script for the process identification part, FEMtools Optimization for the optimizer routines, and used MSC.Marc to compute the reaction force curves.

More information can be found in the following application note:

Identification of Ogden Material Parameters using FEMtoolsDownload (PDF, 433 KB)

 

Finding Optimal Master DOF for Guyan Reduction with FEMtools Pretest Analysis Tools

The pretest analysis tools in FEMtools Correlation are primarily used to find the optimal number and location of transducers for modal testing. One of the methods that are available is the Iterative Guyan Reduction (IGR) method, which is an elimination method to optimize sensors using the modal cross-orthogonality as selection criterion. The method can as well be used for selecting master DOF for Guyan reduction. In an FEA-only context, there are no constraints on the number of master DOFs and their accessibility because they will not serve as test locations. Furthermore, master DOF can include rotational DOF.

Using the IGR tool in FEMtools is a fast and efficient way to select master DOFs for structural components that will be reduced using Guyan reduction.

For more information on this application, contact  info@femtools.com

 

© 2017 Dynamic Design Solutions (DDS) NV. All Rights Reserved.
Privacy Policy - Trademarks/Copyright - Register/Feedback - Contact Us