software module design & test report _33.5.7, 33-2, 33-4_ v2
TRANSCRIPT
STONECUTTERS BRIDGE Section 33 – Wind and Structural Health Monitoring System
(HY/2002/26)
SOFTWARE MODULE DESIGN AND TEST REPORT FOR DATA PROCESSING AND MANAGEMENT (REPORT TOOLS) OF
WIND MEASUREMENT (LOGICAL DESIGN) (PS CLAUSES 33.5, 33.5.7, APPENDIX 33-2 & 33-4)
VERSION NO : 2
Employer : Highways Department,
The Government of The Hong Kong
Special Administrative Region Engineer : Ove Arup & Partners Hong Kong Limited Contractor : Maeda-Hitachi-Yokogawa-Hsin Chong
Joint Venture (MHYHJV) Sub-contractor : Lucky Engineering Co., Ltd. (LEC)
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Table of Contents
1.INTRODUCTION .................................................................................................................................................2
1.1.PURPOSE .......................................................................................................................................................2
1.2.ABBREVIATIONS ..............................................................................................................................................2
1.3.DEFINITION.....................................................................................................................................................3
1.4.REFERENCE ...................................................................................................................................................3
2.OVERVIEW ........................................................................................................................................................4
2.1.GENERAL .......................................................................................................................................................4
2.2.CORRESPONDING SPECIFICATIONS ..................................................................................................................4
3.DATA PRE-PROCESSING ................................................................................................................................5
4.DATA POST-PROCESSING................................................................................................................................8
5.DATA REPORTING ...........................................................................................................................................10
6.MODULE TESTING...........................................................................................................................................17
7.CONCLUSION OF MODULE TESTING ...........................................................................................................18
8.REQUIRED INFORMATION..............................................................................................................................18
APPENDIX A: CALCULATION REFERENCES ..................................................................................................19
APPENDIX B: TESTING RESULTS ....................................................................................................................23
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1. Introduction
1.1. Purpose
This Software Module Design Proposal and Testing Plan is produced for Stonecutters Bridge Wind And
Structural Health Monitoring System (WASHMS) as planned in the Software Quality Assurance Plan
(SQAP) under submission CSF-OT/005786 and designed according submission CSF-OT/009188,
Software Function Design Proposal for Data Processing and Management (Report Tools) (Conceptual
Design). This proposal shall be read together with the previous submitted proposals.
This proposal delivers the module requirement and design direction for the coding of the customized
modules in according to the Functional Design Proposal and PS Clauses listed in Section 1.4 of this
proposal. It can be considered as the logical design stage in the scope of the customized modules.
1.2. Abbreviations
The following abbreviations will be sued in this document:
“Ane” Anemometer
“Acc” Accelerometer
“Bar” Barometer
“Cor-Cell” Corrosion Cell
“DAU” Data Acquisition Unit
“DPCS-1” Data Processing and Control System -1
“Dsp” Displacement Transducers or Tensio Magnetic Sensor
“FE” Finite Element
“function ID” Functional Identification Number
“GUI” Graphical User Interface
“Hyg” Hygrometer
“Rfg” Rainfall gauge
“PS33” Particular Specification Section 33
“RFI” Request-for-Information
“SFRDS-MATLAB” Software Functional Requirement and Design Specification for Bridge Operation Display Using MATLAB
“SHDMS” Structural Health Data Management System
“SHES” Structural Health Evaluation System
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“SQAP” Software Quality Assurance Plan
“Str” Strain Gauge
“Tmp” Temperature Sensor
“WIM” Weight in Motion Sensor
1.3. Definition
In this document, the following words and expressions shall have the meanings hereby assigned and
expected where the context otherwise requires:
“Engineer” Ove Arup & Partners Hong Kong Limited
“HyD” Highways Department
The Government of The Hong Kong Special Administrative Region
“Specification” Particular Specification of Contract No. HY/2002/26 – Stonecutters Bridge
“Main Contractor” Maeda – Hitachi – Yokogawa – Hsin Chong Joint Venture (MHYHJV)
“Sub Contractor” Lucky Engineering Co., Ltd (LEC) - WASHMS Sub-Contractor
“MATLAB” MATLAB is a numerical computing environment and programming language. Created by The MathWorks, Inc
“IBM DB2” DB2 is one of IBM's lines of relational database management system (data server) software products within IBM's broader Information Management Software line. The software is installed in SHDMS submitted under submission CSF-OT/006555.
“DEWESoft” A data acquisition software package created by DEWETRON
“FEMtools” A solver and platform-independent CAE program providing advanced analysis created by Dynamic Design Solution
1.4. Reference
• PS33 Clause 33.5.0-1
• PS33 Clause 33.6.5.1
• PS33 Clause 33.5.7
• PS33 Appendix 33-2 and Appendix 33-4
• Software Quality Assurance Plan (CSF-OT/005786)
• Software Functional Design Proposal (CSF-OT/009188)
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2. Overview
2.1. General
The pre-processing modules run in DAU, the post-processing modules run in DPCS-1 and the reporting
modules run in SHES are included in this proposal. The details of each customized module will be
discussed in Section 3, 4 and 5 of this proposal. The flow chat of the data movement is illustrated in Figure
1.1. For each functional step within the data flow path, they have been added an unique functional
identification number (function ID) for future referencing.
Figure 2.1 General Data Flowchart
2.2. Corresponding Specifications
According the Section 2.2 from Software Functional Design Proposal, the data flow and the required data
processing from DAU to SHES for each sensory instrument according to their sensors groups has been
described. During the Module Design, those tables have been revised base on the actually development
situation. Those input & output data flow and the function ID are referred to the tables of previous submitted
CSF-OT/9188 in details:
Sensor Groups Sensor Types DAUs
(Pre-Processing)
DPCS-1
(Post-Processing)
SHES
(Reporting Tools)
U-Ane-3D Table 1a-1 Table 1a-2 Table 1a-3
U-Ane-2D Table 1b-1 Table 1b-2 Table 1b-3
Ane
P-Ane Table 1c-1 Table 1c-2 Table 1c-3
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3. Data Pre-processing
The measured (raw) data from the SS will be under pre-processing once it recorded by DAUs. As the
module design for the function stated at Tables 2a-1, 2b-1 and 2c-1, the I/O data flow chat for anemometers
are presented in Figures 3.1a, 3.1b and 3.1c respectively. The Figure indicates the data flow from the raw
data signal to the pre-processed data, these processes will be done by the formula function tools in
DEWESoft (see Figure 3.2), which is the data acquisition software installed with DAUs.
Figure 3.1a Data Flowchart of U-Ane-3D at DAU
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Figure 3.1b Data Flowchart of U-Ane-2D at DAU
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Figure 3.1c Data Flowchart of P-Ane at DAU
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Figure 3.2 Formula setup in DEWESoft
4. Data Post-processing
The pre-processed data from DAUs will undergo post-processing at DPCS-1. As the module design for the
function stated at Tables 1a-2, 1b-2 and 1c-2, the I/O data flow chat for temperature sensors are presented
in Figures 4.1a, 4.1b and 4.1c. The Figure indicates the data flow from the pre-processed data signal to the
post-processed data, these processes have been done by the MATLAB function tools in DPCS-1, which is
an integrated software installed with DPCS-1. The post-processing will be carried out automatically every 3
hours after collected the raw data and the pre-processed data.
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Figure 4.1a Data Flowchart for U-Ane-3D at DPCS-1
Figure 4.1b Data Flowchart for U-Ane-2D at DPCS-1
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Figure 4.1c Data Flowchart for P-Ane at DPCS-1
5. Data Reporting
In accordance to PS Clauses 33.5.8, the requirement for SHES of WASHMS is for reporting the
pre-processed and post-processed results. The requirement specified as follows.
The inputs of the reporting MATLAB modules are either getting from the Historical Database, Real-Time
Database or other specified storage location. User can select the specific period of time and locations of
sensor at SHES through the web-based GUI provided by IBM DB2 of SHDMS (the GUI will be submitted
separately under the submission of module design specification of SHDMS ref: CSF-OT/009523). Then, the
selected data from SHDMS will be passed to the MATLAB modules at SHES and the reporting process will
be carried out. The overall reporting tools are utilized for generated the Survey Report, Detailed Report and
Bridge Rating Report.
The linkage between the web interface to the MATLAB modules should refer to the separate submission for
SHDMS, Report Tools Module Design Specification. The individual MATLAB modules are presented in the
Figures 5.1 to 5.11. It is noted that the MATLAB modules are no longer dependent on the sensor types, but
only on the sensor group. Thus these modules can be read in general for U-Ane-3D, U-Ane-2D and P-Ane.
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Figure 5.1 Data Flow for the MATLAB Module Mat-W001 (wind-shes-01), Mat-W002 (wind-shes-02), Mat-W003 (wind-shes-03) & Mat-W004 (wind-shes-04)
Figure 5.2 Data Flow for the MATLAB Module Mat-W005 (wind-shes-05)
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Figure 5.3 Data Flow for the MATLAB Module Mat-W006 (wind-shes-06)
Figure 5.4 Data Flow for the MATLAB Module Mat-W007 (wind-shes-07)
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Figure 5.5 Data Flow for the MATLAB Module Mat-W008 (wind-shes-08)
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Figure 5.6 Data Flow for the MATLAB Module Mat-W009 (wind-shes-09)
Total Kinetic Power(Column Vector)
Header(Cell Vector)
Plot averaged Total Kinetic Power series
Sampling Rate(Scalar)
Total Kinetic Power(Column Vector)
Averaged the power
Figure 5.7 Data Flow for the MATLAB Module Mat-W010 (wind-shes-10)
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Figure 5.8 Data Flow for the MATLAB Module Mat-W011 (wind-shes-11)
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Figure 5.9 Data Flow for the MATLAB Module Mat-W012 (wind-shes-12)
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Derived force(Column Vector)
Sampling Rate of the R-data
(Scalar)
R-(Column Vector)
Sampling Rate of the force data
(Scalar)
Header(Cell Vector)
Plot force against R-
Figure 5.10 Data Flow for the MATLAB Module Mat-W013 (wind-shes-13)
Buffering force(Column Vector)
Sampling Rate of the R-data
(Scalar)
R-(Column Vector)
Sampling Rate of the force data
(Scalar)
Header(Cell Vector)
Plot force against R-
Figure 5.11 Data Flow for the MATLAB Module Mat-W014 (wind-shes-14)
6. Module Testing
Since the MATLAB modules will be installed in SHES and triggered by a sub-module written by Java, or by
LabVIEW during the final integration, in order to facilitate the testing and debugging processes, the
following testing plan has been created. The testing philosophy is illustrated in Figure 6.1.
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Figure 6.1 Testing Plan
The modules have been tested using the WTIFM wind data. The individual testing result has been attached
in Appendix B.
7. Conclusion of Module Testing
Based on the result plots in Appendix B, we can see the testing results are same as the results submitted
under the WTIFM bi-monthly report, if any. As the report shows the reasonable figures, we can conclude
that the overall performance of the wind modules is satisfactory.
8. Required Information
During the module development, there are several items that required additional information or advices
from the Engineer or from the sensor suppliers. A separate form of Request-for-Information ref. RFI/000914
was submitted, if appropriate. The affected items are listed as follows:
PS 33.5.7 5th row point 6: Please advice the detail expression of the formula of the ESDU Spectra.
PS 33.5.7 6th row point 6: Please advice the comparison method and the values of the response from the
design and wind tunnel testing.
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Appendix A: Calculation References
The formulas for the calculation of the monitoring parameters are referenced to the PS Appendix 33-2,
which has been quoted as follows:
Statistical Calculations
1.1 Time Name Definition
10 min Mean ∑=i
is
xTf
x 1
10 min Maximum }max{max ixx =
10 min Minimum }min{min ixx =
3 sec, 10 min Gust (Peak) min10
sec3
)}(max{)}(max{
xxabsxxabs
xGust −−
=
10 min Standard Deviation ∑ −=i
is
x xxTf
2)(1σ
10 min RMS ∑=i
is
xTf
RMS 21
Wind Calculations
1.2 The measured wind speeds shall be processed for calculating dynamic wind effects based on the dynamic characteristics specified below.
All wind speeds measured by sensors SON2 - SON11 shall have the XYZ speed of the
anemometer boom measured by ACCS1 - ACCS10 subtracted to rule out movements of
the boom. The accelerometer signal shall be integrated once to have the measured signal
in the velocity domain.
• Characteristic mean wind velocity and velocity pressure for wind
For the bridge in-service without highway load and for the bridge during construction,
the characteristic 1-hour mean wind velocity profile V(z) for wind shall be taken as
19.0
1035)( ⎟
⎠⎞
⎜⎝⎛⋅=
zzV
When the wind approach is dominated by open ocean fetch (South Westerly
directions)
When the wind is approaching over complex hilly or built-up terrain (Westerly to
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South Easterly directions) the mean wind speed profile is modified as follows
29.0
103566.0)( ⎟
⎠⎞
⎜⎝⎛⋅⋅=
zzV
The characteristic 1-hour mean wind velocity pressure q(z) shall be taken as:
)(21)( 2 zVzq ⋅⋅= ρ
• Power Spectra
The power spectra of the longitudinal (u), lateral (v) and vertical (w) turbulence
components are defined according to the von Kármán spectral model.
Along-wind component (u):
6/52
10
102
)(8.701
)(4
)(
⎥⎥⎦
⎤
⎢⎢⎣
⎡⎟⎟⎠
⎞⎜⎜⎝
⎛ ⋅⋅+
⋅
=⋅
zVfL
zVfL
fSf
u
u
u
uu
σ
Cross-wind lateral (v) and vertical (w):
6/112
10
,
2
10
,
10
,
2,
,
)(2831
)(7551
)(4
)(
⎥⎥⎦
⎤
⎢⎢⎣
⎡⎟⎟⎠
⎞⎜⎜⎝
⎛ ⋅⋅+
⎥⎥⎦
⎤
⎢⎢⎣
⎡⎟⎟⎠
⎞⎜⎜⎝
⎛ ⋅⋅+⋅
⋅
=⋅
zVfL
zVfL
zVfL
fSf
wv
wvwv
wv
wwvv
σ
where the parameters in the expression are:
i turbulence component (u, v or w)
Sii(f) Wind energy spectrum for turbulence component i
f Frequency [Hz]
σi Standard deviation of wind speed for turbulence component i
V10(z) 10 min. mean wind speed at level z
Li 45.0
50 50⎟⎠⎞
⎜⎝⎛⋅=
zLL ii
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Length scales, all wind directions :Lu50 = 160 m, Lv50 = Lu50/3, Lw50 = Lu50/6
• The length scales quoted above are derived from analysis of one typhoon
event and 6 monsoon events hitting the CT8 field measurement site from North
Easterly directions. The most significant observation is that the length scales
increases with increasing height above ground level. Preliminary wind tunnel
results indicate that the length scales does not change significantly as function
of wind direction.
• Turbulence Intensity
• The turbulence intensity I of the longitudinal (u), vertical (w) and lateral (v)
turbulence components at height z above ground are given by the following
expressions:
)(10 zVI i
iσ
=
For the along-wind Iu component the following expression can be derived
190
10
10210.
uu z
.)z(V
I ⎟⎠⎞
⎜⎝⎛⋅==
σ
Corresponding to an approach dominated by open ocean fetch (South Westerly
directions). σu is assumed to be constant with height based on Iu equal to
14.5% at 70 m height above sea level inferred from the Waglan Island data
reproduced in the review of the Structures Design Manual.
When the wind is approaching over complex hilly or built-up terrain (Westerly
to South Easterly directions) the turbulence intensity profile is modified as
follows:
29.0
10
1037.0)(
⎟⎠⎞
⎜⎝⎛⋅==
zzVI u
uσ
For vertical and lateral turbulence intensities of the wind the following is
assumed based on analysis of Typhoon data recorded at the Tsing Ma bridge:
Iv = 1.00· Iu and Iw = 0.75· Iu
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• Coherence
The coherence, which defines the statistical dependency between the turbulence
components at 2 different points, is given by the following expression:
⎟⎟⎠
⎞⎜⎜⎝
⎛ ⋅⋅−=
)(exp
10 zVfDCcoh
The parameter C, the decay factor, is equal to 8 (for lateral coherences). The parameter
D is the distance between the 2 points and f is the frequency.
In table below the values of the decay factor C for all 9 coherences is listed.
Values of the decay factor C to be used in the calculations
Lateral separation
Longitudinal separation
Vertical separation
Longitudinal turbulence component 8 2 8
Cross wind turbulence component 8 4 4
Vertical turbulence component 4 4 8
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Appendix B: Testing Results
Module ID File Name Typical Result
Satisfaction
MAT-W001 Wind_rose
Accepted
MAT-W002 Wind_rose
Accepted
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MAT-W003 Wind_rose
Accepted
MAT-W004 Wind_rose
Accepted
MAT-T005 Wind_incidence
Accepted
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MAT-W006 Turb_inten
Accepted
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MAT-W007 Time_series_plot Accepted
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MAT-W008 WSpectrum Accepted
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Mat-W009 TKE1
Accepted
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Mat-W010 TKE2
Accepted
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Mat-W011 Wind_contour
Accepted
Mat-W012 Wind_AVD
Accepted
Mat-W013 Wind_SF
Accepted
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Mat-W014 Wind_Dsp
Accepted
\