2011年国际模态会议的模态参数辨识竞赛数据,你有兴趣挑战一下吗?
本帖最后由 westrongmc 于 2013-1-9 21:34 编辑下面是2011年国际模态会议的模态参数辨识竞赛（Round Robin）数据，
你有兴趣挑战一下吗？请点击下面的链接，可以下载数据。大家可以展示一下自己的分析结果，相互比对一下。
提醒的是：这个竞赛早已经结束，请不要给主办方发信了。
第1个链接：试验模态分析情形：
http://www.me.mtu.edu/imac_mpe/
SEM Modal Analysis Technical Division presents
Modal Parameter Estimation Round RobinIMAC XXIX 2011
Jacksonville, FL
Modal parameter estimation (MPE) is a common activity for experimental structural dynamicists. Many MPE algorithms are documented and compared in the history of the IMAC proceedings. MPE is the final step to determine the modal parameters for a particular structure under test. MPE is calculation intensive and several commercial and custom software tools exist to automate the calculations and guide users through the MPE process.The purpose of the Modal Parameter Estimation Round Robin is to compare MPE results from a wide range of participants using various commercial and custom implementations of MPE algorithms. To ensure consistency, the same data sets will be available to each participant. The organizers will then collect and compare results. At a special session of IMAC 28, participants will have the opportunity to present their work, and the organizers will present a comparison of results.Each standard data set will contain:
[*]Numeric Data (Universal File Format)
[*]Single or multiple reference frequency response functions (FRFs)
[*]Corresponding ordinary coherence functions
[*]Geometry information (point identification and 3-D coordinates, connectivity)
[*]Descriptive Information
[*]Boundary condition(s)
[*]Excitation technique
[*]Data acquisition conditions and parameters
The organizers request that the participants provide:
[*]Numeric Results
[*]Scaled mode shapes, natural frequencies, and damping information (UFF type 55)
[*]Synthesized FRFs for the measurement DOFs included in the original data set (SDF or UFF type 58)
[*]Descriptive Results
[*]Software used
[*]MPE algorithm(s) used
[*]General comments about the user confidence in the results
The organizers will compare the submitted results using several methods:
[*]Modal Assurance Criteria (MAC) to establish mode correspondence
[*]Statistics of natural frequencies for corresponding mode shapes
[*]Statistics of damping values for corresponding mode shapes
[*]Comparison of synthesized FRFs
[*]Individual
[*]Multivariate Mode Indicator Function (MIF)
[*]Sum of the square amplitude
Several data sets are available on the Michigan Technological University web site ( www.me.mtu.edu/imac_mpe). Participants are required to submit MPE results for the calibration data sets, to identify any overall scaling bias. Users can then choose from any combination of the other data sets.Description of available data sets:
[*]Calibration 1 – Proportionally damped lumped parameter model
[*]Calibration 2 – Non-proportionally damped lumped parameter model
[*]Calibration 3 – Constant Modal Damping
[*]Plexiglass plate - 25 responses / 3 inputs
[*]Dryer cabinet – 300 responses / 4 inputs
[*]Automobile – 398 responses / 3 inputs
[*]Aerospace data - 240 responses / 5 inputs
Click on a each link set for a description of the data and download information.
http://www.me.mtu.edu/imac_mpe/radsat_imac.jpg
===============================第2个链接：响应模态参数辨识情形：http://www.me.mtu.edu/imac_oma/
SEM Modal Analysis Technical Division presents
Output Only Modal Parameter Estimation Round RobinIMAC XXIX 2011 Jacksonville, FL
Organized By: Dr. Shashank Chauhan, Research Engineer, Bruel & Kjaer Sound and Vibration
Last year at IMAC XXVIII 2010, the Round Robin exercise concerned with estimation of modal parameters in traditional experimental modal analysis framework where information of input excitation forces is also available along with output responses. Typically, the information about excitation forces and corresponding output responses is processed to obtain frequency response functions which are then utilized for modal parameter estimation purposes.
The goal of this year’s round robin is to estimate modal parameters in the framework of Operational Modal Analysis, OMA. Operational modal analysis differs from traditional experimental modal analysis in that it only requires information of the output responses and modal parameters are estimated only the basis of this information.OMA presents several advantages including the availability of modal parameters of structure in operation thus representing a closer picture of the structure and its boundary conditions (which are not that easy to realize in laboratory conditions). However, lack of input excitation force information presents several challenges as well, e.g. rigorous signal processing is needed to deal with low Signal-to-Noise ratio, proper estimation of damping, estimation of modal parameters in presence of harmonic excitation, etc.OMA modal parameter estimation algorithms range from simple Single Degree of Freedom (SDOF) peak picking methods to modifications of existing traditional modal parameter estimation algorithms and state space model based algorithms, such as Stochastic Subspace Identification (SSI) algorithm. The purpose of the Output-Only Modal Parameter Estimation Round Robin is to compare modal parameters estimated by various participants (using commercially available and custom made OMA algorithms). It is expected that this study will help in better understanding of OMA algorithms and associated signal processing techniques, and aid in their overall application to various real life structures.Four different datasets, an analytical example, an experimental structure and two real-life structures, are chosen for this exercise. For consistency, the datasets are presented in terms of raw time histories. The participants are free to process the raw time histories using signal processing techniques of their choice before estimating the modal parameters.Details of the characteristic information provided by various datasets is as follows
[*]Raw time histories as .mat files (Matlab format) as well as in universal file format,
[*]Geometry information (point identification and 3-D coordinates, connectivity),
[*]Descriptive Information of the system,
[*]Data acquisition conditions and parameters
For comparing the results, participants are requested to submit the following
[*]Natural Frequencies (in Hz), Damping (in % critical),
[*]Unscaled Mode Shapes,
[*]Description of Signal processing used, for e.g.
[*]Time or Frequency domain
[*]Block size, Window used, Number of Averages and Percent Overlap used
[*]Other Techniques like Cyclic Averaging
[*]Modal parameter estimation algorithm used,
[*]Software used,
[*]General comments about the user confidence in the results,
[*]Descriptive Results
The organizers will compare the submitted results using several methods:
[*]Modal Assurance Criteria (MAC) to establish mode correspondence
[*]Statistics of natural frequencies for corresponding mode shapes
[*]Statistics of damping values for corresponding mode shapes
At a special session of IMAC XXIX, participants will have the opportunity to present their work, and the organizers will present a comparison of results.Several data sets are available on the Michigan Technological University web site ( www.me.mtu.edu/imac_oma). Users are kindly asked to analyze various data sets since they together represent the diversity normally encountered in OMA applications.The data sets along with their respective description can be downloaded at following links.
[*]Analytical Datasets
[*]Calibration Datasets (General Moderately Damped System)
[*]Calibration Datasets (General Lightly Damped System)
[*]Calibration Datasets (Proportional Heavily Damped System)
[*]Lab based setup
[*]Scaled Model of a Wind Turbine Blade
[*]Real Life Cases Studies
[*]Erfttal Bridge ( High Speed Railway Bridge near Aachen, Germany)
[*]OMA Studies on a Ship Structure
http://www.me.mtu.edu/imac_oma/Erfttal_Bridge_Description_files/image002.jpg
Plan View of Erfttal Brifge
http://www.me.mtu.edu/imac_oma/Erfttal_Bridge_Description_files/image004.jpg
Measurement Locations
http://www.me.mtu.edu/imac_oma/Ship_Structure_Description_files/image002.jpg
Ship Structure
本帖最后由 yunhui 于 2013-1-10 16:05 编辑
好资源，谢谢分享！
PS：没用过LMS Test.Lab，不知道MPE里的前三个解析模型的数据是什么格式的，该怎么用，还有unv格式的文件该怎么用，谁知道希望能告诉我一下。
参考下面这个帖子的回复：
请问unv格式的数据文件用什么软件打开？
http://forum.vibunion.com/forum. ... 41&page=1#pid670468 本帖最后由 westrongmc 于 2013-1-15 19:57 编辑
关于unv或者称uff（universal file format）格式数据文件的导入，一般的动态测试分析软件都支持。
如果自己研究，可参考下面的matlab程序，请点击下面的链接：
UFF File Reading and Writing
http://www.mathworks.com/matlabc ... reading-and-writing
补充内容 (2013-1-16 09:18):
uff格式的介绍链接：
http://www.sdrl.uc.edu/universal-file-formats-for-modal-analysis-testing-1
本帖最后由 westrongmc 于 2013-1-16 02:00 编辑
下面针对模态竞赛中的试验模态分析的第一个数据，给出解析答案，供参考：
6自由度质量-弹簧-阻尼系统模型及数据见下面链接：
http://www.me.mtu.edu/imac_mpe/MPE%20Calibration%20Data%20Description.htm
Calibration 1 – Proportionally damped lumped parameter model
Figure 1Lumped Parameter Model used to Generate Calibration Data Set
for IMAC Modal Parameter Estimation Round Robin
上述6自由度系统的质量矩阵，刚度矩阵，阻尼矩阵分别为：
mass = diag(m1, m2, m3, m4, m5, m6);
stiff = [
k1+k2+k7+k8-k200-k7-k8
-k2k2+k3+k4+k9-k3-k40-k9
0-k3k3+k5000
0-k40k4+k600
-k7000k7+k10-k10
-k8-k900-k10k8+k9+k10
]
damp = [
c1+c2+c7+c8-c200-c7-c8
-c2c2+c3+c4+c9-c3-c40-c9
0-c3c3+c5000
0-c40c4+c600
-c7000c7+c10-c10
-c8-c900-c10c8+c9+c10
]
针对比例阻尼情形：
Case I – Proportional Damping (C=.0001*K + .05*M)
可以求出其解析解如下：
lambda_1~6 : -0.0492616110375208 + 22.0279321327432i -0.0845676257681802 + 34.5158711852899i -0.106538823989626 + 40.3827330585276i -0.13757393163934 + 47.4495490621046i -0.163873722953553 + 52.701495277419i -0.340406506833205 + 79.4230083797601i
对应的6阶模态频率，模态阻尼为：
Order
modal freq. / Hz
damping ratio / %
1
3.5058630516571
0.223631921320655
2
5.49338800267742
0.245010104146867
3
6.42713394891434
0.263821799948802
4
7.55186202236046
0.289936060751063
5
8.38774403116875
0.31094550518008
6
12.6406804802832
0.428595424966676
对应的6阶模态振型为：
Order1
Order2
Order3
Order4
Order5
Order6
dof1
1
1
1
1
1
1
dof2
1.0014520318815
-3.16425865281427
1.21706965523873
0.829091188305779
0.14540690368774
-3.66780287449052
dof3
0.734584201691987
-4.34780669496474
3.66255003524752
-3.66318371168712
-0.207805188239985
0.945964118520598
dof4
0.567944843550775
-2.80573425299163
1.66197967191701
4.77396707491893
-0.485131126992674
1.05477951672074
dof5
1.88167257035099
10.058828708181
0.885957294512388
-0.754883253886897
-0.613425007652702
-0.223786843415985
dof6
1.7247946219172
-4.56508216638599
-6.90824782291324
-1.03128194145986
-0.16168858935278
0.715661595222773
本帖最后由 westrongmc 于 2013-1-16 21:58 编辑
下面针对模态竞赛中的试验模态分析的第2个数据，给出解析答案，供参考：
非比例阻尼情形：
CaseII – Non-Proportional Damping (c1= 5.1 N/m/s; c2=7.5 N/m/s; c3=3.9 N/m/s; c4=4.3 N/m/s;
c5=2.96 N/m/s; c6=4.32N/m/s;c7=3.65 N/m/s; c8=0.58 N/m/s; c9=2.85N/m/s; c10=0.37 N/m/s)
其解析解为：lambda_1~6： -0.120461482039616 + 22.0277474238835i -0.340083552651792 + 34.5143994730703i -0.401742149194278 + 40.3810636308249i -0.448060400857154 + 47.4479807905313i -0.836825213304668 + 52.6954978324238i -1.66132720195092 + 79.4042635550371i
对应的6阶模态频率，模态阻尼为：
OrderModal freq. / HzDamping ratio / %
13.505877309644810.546854285688703
25.493403939478530.985290342110243
36.42716393491080.994828349489089
47.551917376905310.944277115878282
58.387806406084381.58783909348167
612.64034677331542.09178150746386
对应的6阶模态振型为：
Order1Order2Order3
Dof11 1 1
Dof21.0014638800981+0.00138576220193394i-3.16131845149626+0.0911479634303837i1.21741358302531-0.00322372718104085i
Dof30.734595347243308+0.00175849882943491i-4.34477642168382+0.0819742458665193i3.66285911770656+0.0645259492484344i
Dof40.567953675658014+0.00158797997127836i-2.80367969732706+0.0606497212689405i1.66248618557293+0.0117359921018548i
Dof51.88160112902025- 0.00667209784490714i10.0520444303306-0.212008322346479i0.88552962323672+0.0330586143912446i
Dof61.72478124498269- 0.00161089249086467i-4.56087943870645+0.13798209980195i-6.90868168226498-0.115300165847245i
Order4Order5Order6
Dof11 1 1
Dof20.829732617057324+0.0372143778506173i0.145574602454834+0.0103768331871602i-3.66382953972541+0.0943433853202002i
Dof3-3.66625542240454-0.139627345183484i-0.208250993460029-0.00624174400999053i0.944214489427384-0.0396553821787366i
Dof44.77749811397694+0.239363583737329i-0.484491458747236+0.00928149772935711i1.05291338238165-0.04235649285361i
Dof5-0.754907083644805-0.0145373710612755i-0.613463911548219-0.00528094384713827i-0.2238325410537-0.00276062739142468i
Dof6-1.03113248938691-0.0621667640811203i-0.161829198733038-0.00698582992912217i0.715028997538245-0.0165736597794127i
他的数据写论文可以用吗？
我现在初定做模态参数辨识，现在有点急于写论文，但比较愁数据，楼主能推荐一些数据吗？非常感谢 谢谢分享 gj_vib 发表于 2013-5-23 16:52 static/image/common/back.gif
他的数据写论文可以用吗？
我现在初定做模态参数辨识，现在有点急于写论文，但比较愁数据，楼主能推荐一些 ...
呵呵，这些数据应该可以用。EMA/OMA的数据都有，请自行选择。 可惜lz提供的网页已经打不开了，没法下载数据了。。。 pasuka 发表于 2016-8-14 17:18
可惜lz提供的网页已经打不开了，没法下载数据了。。。
那个链接确实打不开了
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