Juan M. Caicedo

Prof. Juan M. Caicedo


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2004 in Journal of Engineering Mechanics
Verified
Journal Article
Closed access
JCJuan Martin Caicedo
Juan Martin Caicedo
SDShirley J. Dyke
Shirley J. Dyke
EJErik A. Johnson
Erik A. Johnson
A benchmark study in structural health monitoring based on simulated structural response data was developed by the joint IASC–ASCE Task Group on Structural Health Monitoring. This benchmark study was created to facilitate a comparison of various methods employed for the health monitoring of structures. The focus of the problem is simulated acceleration response data from an analytical model of an existing physical structure. Noise in the sensors is simulated in the benchmark problem by adding a stationary, broadband signal to the responses. A structural health monitoring method for determining the location and severity of damage is developed and implemented herein. The method uses the natural excitation technique in conjunction with the eigensystem realization algorithm for identification of modal parameters, and a least squares optimization to estimate the stiffness parameters. Applying this method to both undamaged and damaged response data, a comparison of results gives indication of the location and e...

1 August 2011 in Journal of Constructional Steel Research
Verified
Journal Article
Closed access
JYJianguo Yu
Jianguo Yu
PZPaul Ziehl
Paul Ziehl
BZBoris Zárate
Boris Zárate
JCJuan Caicedo
Juan Caicedo

1 November 2001 in Journal of Engineering Mechanics
Verified
Journal Article
Closed access
FYFu Yi
Fu Yi
SDShirley J. Dyke
Shirley J. Dyke
JCJuan M. Caicedo
Juan M. Caicedo
JCJ. David Carlson
J. David Carlson
This paper documents the results of an experimental study conducted to demonstrate the capabilities of multiple magnetorheological (MR) devices for seismic control of civil engineering structures. A six-story test structure in the Washington University Structural Control and Earthquake Engineering Lab is considered, and four parallel-plate, shear-mode MR dampers are used to control this test structure. Two control devices are installed in the test structure between the base and first floor, and two are installed between the first floor and second floor. A phenomenological model of the shear mode MR damper is proposed and verified. A nonlinear system identification method, appropriate for multi-input/multi-output systems, is used to develop a model of the integrated structural system. Experimental transfer function data corresponding to one system input are used to update the eigenvalues of an analytical model. Two semiactive control algorithms, including a Lyapunov algorithm and a clipped-optimal algorithm, are considered. An El Centro earthquake example is used to disturb the system at three amplitude levels. The results indicate that high performance levels can be achieved, and the responses of the semiactive system are significantly better than that of comparable passive systems.


1 December 2008 in Engineering Structures
Verified
Journal Article
Closed access
BZBoris A. Zárate
Boris A. Zárate
JCJuan M. Caicedo
Juan M. Caicedo

22 July 2003 in Journal of Structural Control
Verified
Journal Article
Open access
PDF file
JCJ. M. Caicedo
J. M. Caicedo
SDShirley J. Dyke
Shirley J. Dyke
SMS. J. Moon
S. J. Moon
LBL. A. Bergman
L. A. Bergman
GTG. Turan
G. Turan
SHS. Hague
S. Hague
This paper presents the problem definition for the second generation of benchmark structural control problems for cable‐stayed bridges. The goal of this study is to provide a testbed for the development of strategies for the control of cable stayed‐bridges. Based on detailed drawings of the Bill Emerson Memorial Bridge, a three‐dimensional evaluation model has been developed to represent the complex behavior of the full‐scale benchmark bridge. Phase II considers more complex structural behavior than phase I, including multi‐support and transverse excitations. Evaluation criteria are presented for the design problem that are consistent with the goals of seismic response control of a cable‐stayed bridge. Control constraints are also provided to ensure that the benchmark results are representative of a control implementation on the physical structure. Each participant in this benchmark bridge control study is given the task of defining, evaluating and reporting on their proposed control strategies. Participants should also evaluate the robust stability and performance of their resulting designs through simulation with an evaluation model which includes additional mass due to snow loads. The problem and a sample control design have been made available in the form of a set of MATLAB equations. Copyright © 2003 John Wiley & Sons, Ltd.