DIAMOND: A graphical interface toolbox for comparative modal analysis and damage identification
- Los Alamos National Lab., NM (United States). Engineering Sciences and Applications Div.
- Rose Hulman Inst. of Tech., Terre Haute, IN (United States)
This paper introduces a new toolbox of graphical-interface software algorithms for the numerical simulation of vibration tests, analysis of modal data, finite element model correlation, and the comparison of both linear and nonlinear damage identification techniques. This toolbox is unique because it contains several different vibration-based damage identification algorithms, categorized as those which use only measured response and sensor location information (non-model-based techniques) and those which use finite element model correlation (model-based techniques). Another unique feature of this toolbox is the wide range of algorithms for experimental modal analysis. The toolbox also contains a unique capability that utilizes the measured coherence functions and Monte Carlo analysis to perform statistical uncertainty analysis on the modal parameters and damage identification results. This paper contains a detailed description of the various modal analysis, damage identification, and model correlation capabilities of toolbox, and also shows a sample application which uses the toolbox to analyze the statistical uncertainties on the results of a series of modal tests performed on a highway bridge.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE Assistant Secretary for Human Resources and Administration, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 491555
- Report Number(s):
- LA-UR-97-38; CONF-970736-2; ON: DE97003370; TRN: AHC29714%%93
- Resource Relation:
- Conference: 6. international conference on recent advances in structural dynamics, Southampton (United Kingdom), 14-17 Jul 1997; Other Information: PBD: [1997]
- Country of Publication:
- United States
- Language:
- English
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