Masoud Sanayei

Learn More
  • Masoud Sanayei, Gregory R. Imbaro, Jennifer A. S. McClain, C. Brown, MeUber, ASCE
  • 2001
~e results of experiments on a small scale steel frame model are presented to support the "displacement equation error function,". "di.splace~ent o~tput error function," and "strain output error function" met.h0ds ~f structural parameter estimatIOn usmg static nondestructive test data. Both static displacement and static stram mea~urements are used to(More)
Structural health monitoring systems rely on algorithms to detect potential changes in structural parameters that may be indicative of damage. Parameter estimation algorithms seek to identify changes in structural parameters by adjusting parameters of an a priori finite element model of a structure to reconcile its response with a set of measured test data.(More)
A method for the parameter estimation of structures was d~veloped in a companion pape~. It used subsets of static applied forces and strain measurements and successfully Identified structural element stlffnesses. In the presence of noisy measurements, the selection of these s~b~ts drastically affect the accu~acy of the parameter estimates. In addition,(More)
  • Masoud Sanayei, Erin Santini Bell, Chitra N. Javdekar, Jennifer L. Edelmann, Eugene Slavsky
  • 2006
New techniques for both finite-element model updating and damage localization are presented using multiresponse nondestructive test NDT data. A new protocol for combining multiple parameter estimation algorithms for model updating is presented along with an illustrative example. This approach allows for the simultaneous use of both static and modal NDT data(More)
There are great economic incentives motivating the reuse of existing foundations when deteriorated and damaged superstructures are replaced. The increasing reuse of existing bridge foundations warrants investigation into verifying foundation performance and condition of in service bridge foundations. A method is proposed which characterizes the(More)
Genetic Algorithms (GA) are powerful tools for solving large and complicated optimization problems. Objective functions used in parameter estimation (PE) are commonly nonlinear due to available measurements at a limited number of degrees of freedom for a structure. Sparse measurements create a fairly complicated objective function surface that requires a(More)
A method based on Fisher Information from sensitivity matrix is presented for sensor placement in nondestructive tests used for parameter estimation and structural model updating using sparse and noisy measurements. This method can be used for both static and modal nondestructive tests but in this paper sensor placement for only the static nondestructive(More)
This paper describes a study evaluating increase in design strength, performance and capacity when including bridge parapets in a bridge analytical model. Traditionally, concrete parapets are treated solely as superimposed dead load in an overall bridge structural design. Parapets are detailed from a safety standpoint to resist impact forces from vehicle(More)
Structural parameter estimation has great potential for the purpose of structural condition assessment of in-service structures. The information gained through structural parameter estimation can be used to develop a load rating system and other risk assessment tools for in-service bridges. Simultaneous use of static and modal measurements or(More)
This paper presents a structural parameter estimation technique for finite element model updating for the bridge benchmark model at the University of Central Florida (UCF) and the anticipated nondestructive tests. The purpose of the benchmark problem is to evaluate the reliability of damage assessment methodologies commonly used in structural health(More)