Abstract:SUMMARYAn iterative solution method is presented and illus1 rated to analyse the dynamic response of bridge-vehicle systems. The method consists in dividing the whole system into 2 subsystems at the interface of the bridge and vehicles; these 2 subsystems are solved separately; their compatibility at the interface is achieved by an iterative procedure with under-relaxation or with Aitken acceleration. The characteristics of this method are explained on a simplified system with 2 degrees of freedom (DOF). The n… Show more
“…It is necessary to solve both subsystems while ensuring compatibility at the contact points (i.e., displacements of the bridge and the vehicle being the same at the contact point of the wheel with the roadway) (González, 2010). Several approaches on implementing VBI simulations are available in the literature (Green et al 1995, Wang et al 1996, Yang and Fonder 1996, Green and Cebon 1997, Zhu and Law 2002, Yang and Lin 1995, Henchi et al 1998, Yang et al 2004b, Kim et al, 2005 This paper uses the iterative approach described by Cebon 1994, Green andCebon 1997) to ensure compatibility between the two sub-systems. This approach has shown good agreement with other techniques available to model the interaction between the vehicle and the bridge (González, 2010).…”
Previous research on damage detection based on the response of a structure to a moving load has reported decay in accuracy with increasing load speed. Using a 3-D vehicle-bridge interaction model, this paper shows that the area under the filtered acceleration response of the bridge increases with increasing damage, even at highway load speeds. Once a datum reading is established, the area under subsequent readings can be monitored and compared to the base line reading, if an increase is observed it may indicate the presence of damage. The sensitivity of the proposed approach to road roughness and noise is tested in several damage scenarios.The possibility of identifying damage in the bridge, by analysing the acceleration response of the vehicle traversing it is also investigated. While vehicle acceleration is shown to be more sensitive to road roughness and noise and therefore less reliable than direct bridge measurements, damage is successfully identified in favourable scenarios.
“…It is necessary to solve both subsystems while ensuring compatibility at the contact points (i.e., displacements of the bridge and the vehicle being the same at the contact point of the wheel with the roadway) (González, 2010). Several approaches on implementing VBI simulations are available in the literature (Green et al 1995, Wang et al 1996, Yang and Fonder 1996, Green and Cebon 1997, Zhu and Law 2002, Yang and Lin 1995, Henchi et al 1998, Yang et al 2004b, Kim et al, 2005 This paper uses the iterative approach described by Cebon 1994, Green andCebon 1997) to ensure compatibility between the two sub-systems. This approach has shown good agreement with other techniques available to model the interaction between the vehicle and the bridge (González, 2010).…”
Previous research on damage detection based on the response of a structure to a moving load has reported decay in accuracy with increasing load speed. Using a 3-D vehicle-bridge interaction model, this paper shows that the area under the filtered acceleration response of the bridge increases with increasing damage, even at highway load speeds. Once a datum reading is established, the area under subsequent readings can be monitored and compared to the base line reading, if an increase is observed it may indicate the presence of damage. The sensitivity of the proposed approach to road roughness and noise is tested in several damage scenarios.The possibility of identifying damage in the bridge, by analysing the acceleration response of the vehicle traversing it is also investigated. While vehicle acceleration is shown to be more sensitive to road roughness and noise and therefore less reliable than direct bridge measurements, damage is successfully identified in favourable scenarios.
“…A planar vehicle-bridge interaction simulation model is implemented using the iterative approach described in [23,38,39]. The vehicle represents a 2-axle rigid truck with four degrees of freedom: the pitch and vertical displacement of the sprung mass and the displacement of the two unsprung masses.…”
Section: Use Of the Beam Acceleration Due To A 2-axle Sprung Model Onmentioning
Publication information Journal of Sound and Vibration, 332 (13): 3201-3217Publisher Elsevier Item record/more information http://hdl.handle.net/10197/6212
Publisher's statementThis is the author's version of a work that was accepted for publication in Journal of Sound and Vibration. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Sound and Vibration (VOL 332, ISSUE 13, (2013) that did not appear in the healthy structure is present in the response of the damaged structure. This paper elucidates from first principles how the acceleration response can be assumed to consist of 'static' and 'dynamic' components, and where the beam has experienced a localised loss in stiffness, an additional 'damage' component. The combination of these components establishes how the damage singularity will appear in the total response.For a given damage severity, the amplitude of the 'damage' component will depend on how close the damage location is to the sensor, and its frequency content will increase with higher velocities of the moving force. The latter has implications for damage detection because if the frequency content of the 'damage' component includes bridge and/or vehicle frequencies, it becomes more difficult to identify damage. The paper illustrates how a thorough understanding of the relationship between the 'static' and 'damage' components contributes *Manuscript Click here to download Manuscript: Manuscript RevC.doc Click here to view linked References 2 to establish if damage has occurred and to provide an estimation of its location and severity.The findings are corroborated using accelerations from a planar finite element simulation model where the effects of force velocity and bridge span are examined.
“…Planar vehicle models have been found to provide a reasonable bridge response for ratios bridge width to www.intechopen.com vehicle width greater than 5 (Moghimi & Ronagh, 2008a). A single-DOF model can be used for a preliminary study of the tyre forces at low frequencies due to sprung mass bouncing and pitching motion (Chatterjee et al, 1994b;Green & Cebon, 1997) and a two-DOF model (i.e., a quarter-car) can be employed to analyse main frequencies corresponding to bodybounce and axle hop modes (Green & Cebon, 1994;Chompooming & Yener, 1995;Yang & Fonder, 1996;Cebon, 1999). If the influence of axle spacing was investigated, then a rigid walking beam (Hwang & Nowak, 1991;Green & Cebon, 1994;Chompooming & Yener, 1995) or an articulated multi-DOF model (Veletsos & Huang, 1970;Hwang & Nowak, 1991;Green et al, 1995;Harris et al, 2007) will become necessary.…”
Section: Types Of Fe Models For Vehiclesmentioning
confidence: 99%
“…It is necessary to solve both subsystems while ensuring compatibility at the contact points (i.e., displacements of the bridge and the vehicle being the same at the contact point of the wheel with the roadway). The algorithms to carry out this calculation can be classified in two main groups: (a) those based on an uncoupled iterative procedure where equations of motion of bridge and vehicle are solved separately and equilibrium between both subsystems and geometric compatibility conditions are found through an iterative process (Veletsos & Huang, 1970;Green et al, 1995;Hwang & Nowak, 1991;Huang et al, 1992;Chatterjee et al, 1994b;Wang et al, 1996;Yang & Fonder, 1996;Green & Cebon, 1997;Zhu & Law, 2002;Cantero et al, 2009), and (b) those based on the solution of the coupled system, i.e., there is a unique matrix for the system that is formed by eliminating the interaction forces appearing in the equations of motion of bridge and vehicle, and updated at each point in time (Olsson, 1985;Yang & Lin, 1995;Yang & Yau 1997;Henchi et al, 1998;Yang et al, 1999Yang et al, , 2004aKim et al, 2005;Cai et al, 2007;Deng & Cai, 2010;Moghimi & Ronagh, 2008a). The use of Lagrange multipliers can also be found in the solution of VBI problems (Cifuentes, 1989;Baumgärtner, 1999;González et al, 2008a).…”
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