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This is the author’s version of a work that was submitted/accepted for pub-lication in the following source:

Wickramasinghe, Wasanthi R., Thambiratnam, David P., & Chan, Tommy

H.T.(2014) Modal flexibility method for structural damage detection in sus-pension bridges. In Xu, Y.L., Zhu, S., Xia, Y., Ni, Y.Q., Law, S.S., Yin, J.H., et al. (Eds.) 6th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII-6 2013, Hong Kong.

This file was downloaded from: http://eprints.qut.edu.au/66770/

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Copyright 2014 Please consult the authors

Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source:

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The 6th International Conference on

Structural Health Monitoring of Intelligent Infrastructure Hong Kong | 9-11 December 2013

MODAL FLEXIBILITY METHOD FOR STRUCTURAL DAMAGE DETECTION IN

SUSPENSION BRIDGES

Wasanthi R.Wickramasinghe, David P. Thambiratnam and Tommy H.T. Chan

School of Civil Engineering and Built Environment, Queensland University of Technology, Brisbane, Australia. Email: [email protected]

ABSTRACT

Suspension bridges meet the steadily growing demand for lighter and longer bridges in today’s infrastructure systems. These bridges are designed to have long life spans, but with age, their main cables and hangers could suffer from corrosion and fatigue. There is a need for a simple and reliable procedure to detect and locate such damage, so that appropriate retrofitting can be carried out to prevent bridge failure. Damage in a structure causes changes in its properties (mass, damping and stiffness) which in turn will cause changes in its vibration characteristics (natural frequencies, modal damping and mode shapes). Methods based on modal flexibility, which depends on both the natural frequencies and mode shapes, have the potential for damage detection. They have been applied successfully to beam and plate elements, trusses and simple structures in reinforced concrete and steel. However very limited applications for damage detection in suspension bridges have been identified to date. This paper examines the potential of modal flexibility methods for damage detection and localization of a suspension bridge under different damage scenarios in the main cables and hangers using numerical simulation techniques. Validated finite element model (FEM) of a suspension bridge is used to acquire mass normalized mode shape vectors and natural frequencies at intact and damaged states. Damage scenarios will be simulated in the validated FE models by varying stiffness of the damaged structural members. The capability of damage index based on modal flexibility to detect and locate damage is evaluated. Results confirm that modal flexibility based methods have the ability to successfully identify damage in suspension bridge main cables and hangers.

KEYWORDS

Suspension bridges, vibration characteristics, modal flexibility, main cables and hangers.

INTRODUCTION

Bridges are designed to have long life spans. During the course of their life-cycle, they are subjected to structural deterioration due to environmental influences, changes in load characteristics and random actions (Shih et al. 2011). Those factors can cause structural damage and therefore can have detrimental influences on the serviceability and ultimate capacity of the structure; subsequently resulting in expensive retrofitting or bridge failure. Suspension bridges meet the steadily growing demand for lighter and longer bridges in today’s infrastructure systems. However with age, their main cables and hangers could suffer from corrosion and fatigue. There is a need for a simple and reliable procedure to detect and locate such damage, so that appropriate retrofitting can be conducted to prevent bridge failure. It is a challenging task of the current structural health monitoring (SHM) systems, particularly for complex civil structures like suspension bridges.

Detection techniques developed to assess the deterioration and damage of a structure during the last few decades, incorporate both local and global methods. Local methods evaluate the state of the structure either by direct visual inspection or using non destructive evaluation techniques such as acoustic emission, ultrasonic, magnetic particle inspection, radiography and eddy currents. All these methods need prior localization of damaged zones, are time consuming, expensive, and consequently inefficient for assessing the state of suspension bridges. These limitations can be overcome by focusing on global methods of damage detection which comprise a variety of techniques based on the vibration characteristics of the structure. Damage or deterioration in a structure causes changes in its properties (mass, damping and stiffness) which cause changes in its vibration characteristics (natural frequencies, modal damping and mode shapes). Therefore vibration characteristics of a structure can be used as the basis for vibration based damage detection (VBDD) techniques. These VBDD techniques have been recently subjected to a considerable amount of attention for damage detection due to their relative simplicity and the moderate cost of dynamic measurements.

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A variety of VBDD techniques have been proposed for detecting the presence, location and severity of structural damage. Among those techniques, methods based on modal flexibility, which depends on both the natural frequencies and mode shapes, have shown the potential for successful damage detection. Theoretically, structural deterioration reduces stiffness and increases flexibility. Increase in structural flexibility can therefore serve as a good indicator of the degree of structural deterioration. Different combinations of equations/indices were developed by various researchers using flexibility values to detect damage.

Pandey and Biswas (1994 and 1995) showed that the change in flexibility (for detecting the presence and location of structural damage) can be applied successfully to real life structures. Farrar and Jauregui (1998) applied the change in flexibility method in bridge for damage detection and concluded that further studies are needed in normalizing the mode shapes obtained from the ambient vibration tests. Choi et al. (2008) developed a new damage indicator combining damage index method and changes in flexibility to locate and evaluate damage in timber structures. This method was capable in identifying four damage locations simultaneously. However severity estimation was less effective as number of damage locations increased. Relative flexibility change (RFC) between intact and damaged state of the cable stayed bridge was studied by Ni et al. (2008). The RFC index performs well for locating damage in single-damage cases in the absence of ambient effects however some difficulties were encountered in detecting and locating damage at cross girders. That study highlighted the importance of acquiring the modal data of the intact and damaged structure under the same or similar ambient conditions. Moragaspitiya et al. (2013) successfully developed modal flexibility based index to predict axial shortening of vertical load bearing elements of reinforced concert buildings. Successful application of the modal flexibility method in detecting damage in suspension bridge main cables and hangers has not been attempted in recent research work.

This study therefore, examines the changes in modal flexibility of damaged and undamaged states of a suspension bridge by evaluating modal flexibility based Damage Index (DI). Finite Element (FE) model was developed to obtain vibration characteristics of damaged and intact states of a suspension bridge. It was validated using past results of continuum study by Materazzi and Ubertini (2011). Damage scenarios were simulated in the validated FE model by varying stiffness of structural members. The present study examines single damage cases with varied damage location and severity. Natural frequencies and mass normalized mode shape vectors of intact and damaged states of the structure were extracted from the validated FE model to calculate Damage Index (DI). Results confirm that modal flexibility based methods have the ability to successfully identify damage in suspension bridge main cables and hangers. Therefore this simple method can be implemented in future to detect damage in suspension bridges and it will minimise the cost.

MODAL FLEXIBILITY METHOD

Modal Flexibility Method is a widely accepted technique to examine the health state of a structure in SHM. Modal flexibility is a modal derivative which incorporates natural frequencies and mode shape vectors of a structure. The modal flexibility of a structure converges rapidly with increasing frequency and therefore it can be obtained from only few lower frequency modes (Pandey and Biswas, 1994). Another advantage of this method is that it does not require any analytical model of a structure to estimate the flexibility matrix and it can be done using only the experimental data collected from the structure (Pandey and Biswas, 1994). This method is widely used in structural health monitoring application due to its accuracy, convenient computation and ease of application (Moragaspitiya et al. 2013). Derivation of flexibility matrix is as follows (Shih et al. 2009);

+ = 0 (1)

Where

= ∅ (2) Substituting Eq. 2 into Eq. 1, it becomes

∅ − ∅ = 0 (3)

Multiplying Eq.3 by transpose of ∅

∅ ∅ − ∅ ∅ = 0 (4)

For normalized eigenvectors, the orthogonality condition is given by

∅ ∅ = (5)

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∅ ∅ − = 0 (6)

∅ ∅ = (7)

= ∅ ∅ (8)

= ∅ ∅ = ∑ ∅ ∅ (9)

In the above equation; Mass matrix

∅ Mass normalized mode shape matrix Modal flexibility matrix

Stiffness matrix Displacement vector

Reciprocal of the square of natural frequencies N Number of degrees of freedom

The simplest form of change in flexibility between intact and damaged state of a structure is given by;

∆ = − (10) Where the subscript‘d’ and ‘h’ denotes the damaged and intact states of the structure respectively. DI derived from change in flexibility considering 1st mode to nth mode is given by;

=∑ (11)

FEM AND MODAL ANALYSIS

Obtaining vibration response using real structures or experimental models of a bridge to develop VBDD techniques is an expensive and time consuming procedure. Simulation of different damage scenarios in real bridges or experimental setup is also quite difficult process. Since FE method has been widely accepted as an analysis tool in SHM the above mentioned constraints can be overcome by using validated FE model to simulate a real structure.

In this study, the main span of the New Carquienz Bridge in California, USA was simulated numerically as a two dimensional (2D) FE model in ANSYS FE code. Continuum formulation study of suspension bridges by Materazzi and Ubertini (2011) was used to validate the 2D FE model. In order to do that, natural frequencies obtained from the computer simulation will be compared with those obtained in the above study. Main span of the bridge is 728 m and 57 numbers of hangers are equally spaced at 12.55m. Other parameters of the bridge are, non-dimensional Irvine parameter λ2=240 and non-dimensional parameter μ2

=3.5x10-3. Sag/span ratio of the bridge approximately equals to 0.1. Material parameters such as Young’s Modulus, density and Poisson’s ratio used in the analysis are similar to those used in continuum formulation study of suspension bridges by Materazzi and Ubertini (2011) which represents the New Carquienz Bridge.

Main cables of the bridge were simulated using LINK 180 element type with tension only option. BEAM 188 element type was used to simulate deck and hangers. The main cable was modeled as hinged at fixed anchors placed at the same vertical elevation. Therefore displacements at those hinges were fixed in all three directions and rotations were released. The deck was modeled as a uniform, linearly elastic beam, simply supported at its ends. Consequently rotations were released in all three directions at each end of the deck while displacement was free in longitudinal direction at one end. In order to consider geometric nonlinearity of cables the analysis was conducted in two steps. First nonlinear static analysis under self-weight was performed and subsequently modal analysis was conducted using the last solution obtained at the end of the static step (pre stressed modal analysis was conducted). FE model of the bridge is illustrated in Figure 1.

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Figure 1. 2D FE Model of the New Carquienz Bridge

Mode shapes of first eight vibration modes of the bridge were extracted from the analysis. Mode 1, 4, 6 and 8 are antisymmetric modes and mode 2, 3, 5 and 7 are symmetric modes. Frequencies of first eight vertical modes of the bridge main span are illustrated in table 1. Percentage error of the FE analysis results are less than 6%, which confirms the accuracy of the FE model developed in this study. Therefore validated FE model for frequencies was used in damage detection studies.

Table 1. Summary of the FE analysis and Continuum formulation results Mode Shape Mode No. FE Analysis

Hz Continuum formulation Hz % Error Antisymmetric 1 0.14022 0.1333 5.19 Symmetric 2 0.19932 0.1970 1.18 Symmetric 3 0.30662 0.3061 0.17 Antisymmetric 4 0.31481 0.3110 1.23 Symmetric 5 0.43562 0.4325 0.72 Antisymmetric 6 0.56251 0.5600 0.45 Symmetric 7 0.71807 0.7168 0.18 Antisymmetric 8 0.89162 0.8925 -0.1 DAMAGE SCENARIOS

Damage in cables and hangers in suspension bridge are mainly due to corrosion and fatigue (Figure 2 and 3), which alters the stiffness of the element in addition to the stiffness of the structure. Simulation of damage in FE models are basically done by changing young’s modulus or changing cross section area or removing elements at damage location. This study simulates damage in cables and hangers by reducing stiffness either by reducing cross section area or young’s modulus. Also it examines single damage cases with varied damage location and severity.

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Five damage cases were studied in main cables and hangers. Damage was introduced in the FE model by changing the element stiffness at particular locations. Figure 4 shows the locations of the damage considered and Table 2 illustrates the damage cases considered in this study and their severities. Natural frequencies and mass normalized mode shape vectors of intact and damaged (five damage cases) states of the structure were extracted from the validated FE model to calculate DI.

Figure 4. Locations of Damaged Considered Table 2. Damage Cases Considered

Damage Case Severity of Damage

Case1-One hanger damage at the middle of the span 1%,5%,10% Case2-One hanger damage at the corner 1%,5%,10% Case3-One hanger damage at the quarter of the span 1%,5%,10% Case4-Two cable segments damage at the mid span of the cable 10%,20%,30% Case5-Two cable segment damage at the quarter span of the cable 10%,20%,30%

DAMAGE DIAGNOSIS

Modal parameters (natural frequencies and mass normalized mode shape vectors) of the first four modes of the damaged and intact structure were obtained from the FE analysis. Those were used to construct the DI to study its potential for damage detection. Figure 5 illustrates the DI value for the damage case 1 with three severity cases. DI reaches its maximum value at the node of the damaged hanger for all three cases of damage intensity. (dotted line indicates the damage location).

Figure 5. Damage Index – Case 1

Figure 6 shows that the DI of the node corresponding to corner hanger is higher than that of the other hangers. This implies the DI is capable of locating the damage in case 2 for all severity cases. In order to verify the DI for locating the damage in hangers at any location, third damage case was treated. Figure 7 illustrates that DI value at the node corresponds to the damage demonstrates a peak similar to the other two damage cases (case 1 and case 2). Very small damage severity conditions were considered in each case, however DI have a very good potential in locating the damage in hangers.

-0.00040 -0.00035 -0.00030 -0.00025 -0.00020 -0.00015 -0.00010 -0.00005 0.00000 0.00005 0.00010 0.00 100.00 200.00 300.00 400.00 500.00 600.00 700.00 800.00 DAMAGE INDEX

DISTANCE ALONG THE DECK m

DAMAGE INDEX -CASE1

1% DAMAGE 5% DAMAGE 10% DAMAGE

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Figure 6. Damage Index – Case 2

Figure 7. Damage Index – Case 3

Figures 8 and 9 shows the DI values for the two damage cases studied in the suspension bridge cables. In comparison with the damage at hangers, the flexibility changes caused by the damage at cables are relatively small even for the 30% damage severity case. However damage location can be identified by noticeable changes in the DI values plotted for suspension bridge cables. In this sense, suspension bridge cables are less sensitive than the hangers in changes in modal flexibility.

Figure 8. Damage Index – Case 4

-0.00120 -0.00100 -0.00080 -0.00060 -0.00040 -0.00020 0.00000 0.00020 0.00 100.00 200.00 300.00 400.00 500.00 600.00 700.00 800.00 DAMAGE INDEX

DISTANCE ALONG THE DECK m

DAMAGE INDEX - CASE 2

1% DAMAGE 5% DAMAGE 10% DAMAGE -0.00060 -0.00050 -0.00040 -0.00030 -0.00020 -0.00010 0.00000 0.00010 0.00020 0.00 100.00 200.00 300.00 400.00 500.00 600.00 700.00 800.00 DAMAGE INDEX

DISTANCE ALONG THE DECK m

DAMAGE INDEX - CASE 3

1% DAMAGE 5% DAMAGE 10% DAMAGE 0.00000 0.00050 0.00100 0.00150 0.00200 0.00250 0.00300 0.00350 0.00400 0.00 100.00 200.00 300.00 400.00 500.00 600.00 700.00 800.00 DAMAGE INDEX

DISTANCE ALONG THE DECK m

DAMAGE INDEX - CASE 4

10% DAMAGE 20% DAMAGE 30% DAMAGE

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Figure 9. Damage Index – Case 5

CONCLUSION

Service life of a suspension bridge is correlated to the condition of its main cables and hangers. Damage can occur in those elements due to corrosion and fatigue. Such defects need to be detected at their early stages to enhance serviceability condition of the suspension bridges. This factor motivates to examine a simple and reliable procedure to detect and locate such damage in suspension bridge cables and hangers. The capability of Modal flexibility based damage DI was examined by addressing five damage cases with different severities on particular structural elements concerned. DI performs well in locating damage in hangers and main cables of the suspension bridge.

This study was limited to the two dimensional structure using vibration parameters in the vertical vibration modes. Further studies are needed to confirm the sensitivity of DI when vibration parameters incorporate all the modes (vertical, lateral, torsional and coupled modes) of a suspension bridge. Multiple damage scenarios, effect of number of data acquisition points in suspension bridges also need to be addressed with further progress of this research. The result shown by this study confirmed that modal flexibility based method have a good potential in damage detection and localization in suspension bridges which will enhance the damage detection process, and minimize the calculation time and cost.

ACKNOWLEDGMENTS

This research forms part of a research study of structural health monitoring of structures at Queensland University of Technology, Australia. Wasanthi R. Wickramasinghe is a PhD student supported by Queensland university of Technology Postgraduate Research Award.

REF RENCES

Andersen, D. and Barbas, J. (2004). "The Waldo Hancock Bridge inspection, monitoring and strengthening of the main cables", Paper presented at The 4th International Cable Supported Bridge Operators’ Conference, The Society of Danish Engineers' Conference Centre, June 16-19, 161-168.

Choi, F., Li, J., Samali, B. and Crews, K. (2008). "Application of the modified damage index method to timber beams", Engineering Structures, 30(4), 1124-1145.

Farrar, C.R. and Jauregui, D.A. (1998). "Comparative study of damage identification algorithms applied to a bridge: I. Experiment", Smart Materials and Structures, 7(5), 704.

Khazem, D. and Serzan, K. (2004). "Zinc paste as a corrosion inhibitor for the main cables and its affects on the construction of the Carquinez Bridge", Paper presented at the 4th International Cable Supported Bridge Operators’ Conference, 2004, The Society of Danish Engineers' Conference Centre, June 16-19, 117-121. Materazzi, A.L. and Ubertini, F. (2011). "Eigenproperties of suspension bridges with damage", Journal of Sound

and Vibration, 330, 6420-6434.

Ni, Y., Zhou, H., Chan, K. and Ko, J. (2008). "Modal flexibility analysis of cable-stayed ting kau bridge for damage identification", Computer Aided Civil and Infrastructure Engineering, 23(3), 223-236.

Pandey, A. and Biswas, M. (1994). "Damage detection in structures using changes in flexibility", Journal of

Sound and Vibration, 169(1), 3-17. 0.00000 0.00050 0.00100 0.00150 0.00200 0.00250 0.00300 0.00350 0.00400 0.00 100.00 200.00 300.00 400.00 500.00 600.00 700.00 800.00 DAMAGE INDEX

DISTANCE ALONG THE DECK m

DAMAGE INDEX - CASE 5

10% DAMAGE 20% DAMAGE 30% DAMAGE

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Pandey, A. and Biswas, M. (1995). "Experimental verification of flexibility difference method for locating damage in structures", Journal of Sound and Vibration, 184(2), 311-328.

Praveen Moragaspitiya, H., Thambiratnam, D.P., Perera, N.J. and Chan, T.H.T. (2013). "Development of a vibration based method to update axial shortening of vertical load bearing elements in reinforced concrete buildings", Engineering Structures, 46, 49-61.

Shih, H.W., Thambiratnam, D.P. and Chan, T.H. (2009). "Vibration based structural damage detection in flexural members using multi-criteria approach", Journal of Sound and Vibration, 323(3), 645-661.

Shih, H.W., Thambiratnam, D and Chan, T.H.T. (2011). "Damage localisation in beams and plates using vibration characteristics", Structural Health Monitoring in Australia, Nova Publishers , 33-53.

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