System Identification of a Bridge Gusset-Less Connection by Simplified and Detailed Local Analytical Models
Conference: Publication Date: 27 August 2018
As engineers seek practical techniques for analysis of complicated connections, researchers look to balance the simplicity and accuracy of joint models. Traditionally, the beam models are common computer simulations for structural analysis and design, while, there is a concern about the necessity of considering a more detailed structural configuration of complex connections, modeled by three-dimensional solid elements for performance assessment. An innovative gusset-less connection was designed for the newly reconstructed Memorial Bridge which connects Portsmouth, NH to Kittery, ME. Since for this connection gusset plates were removed, structural behavior of the joint may not be completely known. In this paper, a simplified beam model along with a more detailed three-dimensional solid model of the connection is used for structural parameter estimation of the gusset-less joint stiffness. For the simplified simulation, a SAP2000® beam model of the joint is developed whereas, for the detailed simulation, an ABAQUS® three-dimensional solid model of the connection is built. The three-dimensional solid model results are used as the input for a modal stiffness-based error function model updating procedure to estimate structural parameters of the gusset-less connection. The estimated parameters are then utilized for making appropriate modifications to the simplified model. Maintaining the simplicity, the updated beam model would then be a more reliable and representative analytical simulation of the real joint. As only a small part of the bridge truss is locally modeled, the results are a preliminary step towards a more developed system identification procedure that incorporates monitoring data of the instrumented Memorial Bridge for updating its global model.
- El-Sayed, M.E.M., 1989, “ Calculation of Joint Spring Rates Using Finite Element Formulation,” Computers and Structures, 33 (4), pp 977-981.
- Nobari, A.S., D.A. Robb and D.J. Ewins, 1995, “A New Approach to Modal -Based Structural Dynamic Model Updating and Joint Identification,” Mechanical Systems and Signal Processing, 9 (1), pp 85-100.
- Mottershead, J.E., M.I. Friswell, G.H.T. Ng and J.A. Brandon, 1996, “Geometric Parameters for Finite Element Model Updating of Joints and Constraints,” Mechanical Systems and Signal Processing, 10 (2), pp 171-182.
- Lee, S.B., J.R. Park and H.J. Yim, 2002, “Numerical Approximation of Vehicle Joint Stiffness by Using Response Surface Method,” International Journal of Automotive Technology, 3 (3), pp 117-122.
- Li, W.L., 2002, “A New Method for Structural Model Updating and Joint Stiffness Identification,” Mechanical Systems and Signal Processing, 16 (1), pp 155-167.
- Yang, T., 2003, “Joint Stiffness Identification Using FRF Measurements,” Computers and Structures, 81 (28), pp 2549-2556.
- Wang, J.H. and S.C. Chuang, 2004, “Reducing Errors in the Identification of Structural Joint Parameters Using Error Functions,” Journal of Sound and Vibration, 273 (1-2), pp 295-316.
- Bylund, N., 2005, “ADRIAN: A Software for Computing the Stiffness of Automotive Joints and Its Application in the Product Development Process,” Journal of Computing and Information Science in Engineering, 5 (4), pp 388-393.
- Cunha, J., E. Foltete and N. Bouhaddi, 2008 “Evaluation of Stiffness of Semi -Rigid Joints in Pultruded Profiles from Dynamic and Static Data by Using Model Updating Technique,” Engineering Structures, 30 (4), pp 1024-1036.
- Ingole, S.B. and A. Chatterjee, 2010, “A Method for Joint Stiffnes s Identification,” Proceedings of International Conference on Modeling, Optimization and Computing (ICMOC 2010), 28-30 October 2010, India.
- Cao, H., B. Li and Z. He, 2012, “A Joint Stiffness Identification Method based on Finite Element Modeling and Frequency Response Functions,” Journal of Vibroengineering, 14 (2), pp 611-620.
- Yang, Y., J. Chen, F. Lan, F. Xiong and Z. Zeng, 2018, “Joints Parameters Identification in Numerical Modeling of Structural Dynamics,” Shock and Vibration, Vol. 2018, Article ID 2365759, 11 pages.
- Computers and Structures, Inc., SAP2000® -Integrated Finite Element Analysis and Design of Structures, Version 19.1.1. California, USA, 2017.
- ABAQUS® User’s Manual Version 2017, ABAQUS® Inc., Dassault Systemes, Providence, RI, USA, 2017.
- MATLABR2018a, MathWorks, Natick, Massachusetts, USA, 2018.
- Crosti, C. and D. Duthinh, 2014, “A Nonlinear Model for Gusset Plate Connections,” Engineering Structures, 62-63, pp 135-147.
- National Transportation Safety Board. Collapse of I-35 W Highway Bridge, Minneapolis, Minnesota, August 1, 2007. Accident report, NTSB/HAR 08/03 PB2008-916213. Washington D.C. 20594; 2008.
- Mehrkash, M. and E. Santini-Bell, 2018, “Modeling and Characterization of Complicated Connections in Structural and Mechanical Systems as Applied to a Gusset-Less Truss Connection,” 97th Annual Meeting of Transportation Research Board (TRB 2018), 7-11 January 2018, Washington D.C., USA.
- Mehrkash, M., V. Shahsavari and E. Santini-Bell, 2018, “Instrumentation Sufficiency of a Vertical Lift B ridge for Modal System Identification by Frequency Domain Analysis, Engineering Mechanics Institute Conference (EMI 2018), 29 May-1 June 2018, MIT, Cambridge, MA, USA.
- Sanayei, M., J.A.S. McClain, S. Wadia-Fascetti and E.M. Santini, 1999, “Parameter Estimation Incorporating Modal Data and Boundary Conditions,” Journal of Structural Engineering, 125 (9), pp 1048-1055.
- Santini-Bell, E., M. Sanayei, C.N. Javdekar and E. Slavsky, 2007, “Multiresponse Parameter Estimation for Finite Element Model Updating Using Nondestructive Test Data,” Journal of Structural Engineering, 133 (8), pp 1067-1079.
- Chesne, S., A. Deraemaeker, 2013, “Damage Localization Using Transmissibility Functions: A Critical Review,” Mechanical Systems and Signal Processing, 38 (2), pp 569-584.
0 Page Views
0 PDF Downloads
0 Facebook Shares