A Parameter Estimation Method for Bridges Based on Field Measured Influence Lines

A method for bridge structural parameter identification using field measured static influence lines with respect to various types of measurement is presented. Static test data on displacement, tilts and strains are quantified by means of influence lines to estimate global and local, sensitive and insensitive parameters of any model form of structure. A quadratic performance error function to be minimized was established with interpolation or fitting procedures. An analytical example of a simply supported beam is employed for demonstration purpose. A numerical example of plane stress is presented and local and insensitive parameters are successfully and accurately estimated. Results of the example suggest that despite no competitive advantage in estimating the sensitive parameters with integrative measurement, it is an essential point to the successful identification of insensitive parameters by making a judicious selection of integrative measurement.

[1]  Chung Bang Yun,et al.  Two-step approaches for effective bridge health monitoring , 2006 .

[2]  Ricardo Zaurin,et al.  Structural health monitoring using video stream, influence lines, and statistical analysis , 2011 .

[3]  Robin Bruno,et al.  Identification of nonlinear joints in a truss structure , 1994 .

[4]  H. Lee,et al.  STATISTICAL DAMAGE ASSESSMENT OF FRAMED STRUCTURES FROM STATIC RESPONSES , 2000 .

[5]  Richard B. Nelson,et al.  Identification of Structural Element Stiffnesses from Incomplete Static Test Data , 1986 .

[6]  Nicholas A J Lieven,et al.  Damage Prognosis: Current Status and Future Needs , 2003 .

[7]  Masoud Sanayei,et al.  STRUCTURAL ELEMENT STIFFNESS IDENTIFICATION FROM STATIC TEST DATA , 1991 .

[8]  E. Kansa.  Multiquadrics—A scattered data approximation scheme with applications to computational fluid-dynamics—I surface approximations and partial derivative estimates , 1990 .

[9]  K. Hjelmstad,et al.  Parameter Estimation of Structures from Static Response. I. Computational Aspects , 1994 .

[10]  F. J. Soeiro,et al.  Structural damage detection based on static and modal analysis , 1989 .

[11]  Joel P. Conte,et al.  Damage Identification of a Composite Beam Using Finite Element Model Updating , 2008, Comput. Aided Civ. Infrastructure Eng..

[12]  Masoud Sanayei,et al.  Parameter Estimation of Structures from Static Strain Measurements. I: Formulation , 1996 .

[13]  Masoud Sanayei,et al.  Damage assessment of structures using static test data , 1991 .

[14]  Fei Pan,et al.  Finite Element Model Updating of Existing T-Girder Bridge by Field Quasi-Static Generalized Influence Line , 2012 .

[15]  Holger Wendland,et al.  Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree , 1995, Adv. Comput. Math..

[16]  David L. Brown,et al.  Modal Parameter Estimation: A Unified Matrix Polynomial Approach , 1994 .

[17]  A. Belegundu.  The adjoint method for determining influence lines , 1988 .

[18]  Nuno M. M. Maia,et al.  Theoretical and Experimental Modal Analysis , 1997 .

[19]  Libo Meng,et al.  Finite Element Model Updating Based on Field Quasi-static Generalized Influence Line and Its Bridge Engineering Application , 2012 .

[20]  Masoud Sanayei,et al.  STRUCTURAL MODEL UPDATING USING EXPERIMENTAL STATIC MEASUREMENTS , 1997 .

[21]  R Zaurin,et al.  Integration of computer imaging and sensor data for structural health monitoring of bridges , 2009 .

[22]  Ahmet E. Aktan,et al.  Issues in health monitoring for intelligent infrastructure , 1998 .

[23]  N. Uddin,et al.  Algorithm to identify axle weights for an innovative BWIM system-Part II , 2010 .