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Structural damage identification via physics-guided machine learning: a methodology integrating pattern recognition with finite element model updating

Structural Health Monitoring, 2020
Structural health monitoring methods are broadly classified into two categories: data-driven methods via statistical pattern recognition and physics-based methods through finite elementmodel updating.
Zhiming Zhang, Chao Sun
semanticscholar   +1 more source

Damage Identification of Nonlinear Structural Systems

AIAA Journal, 2000
The present investigation develops methods for the identie cation of highly localized structural damages in nonlinear structures. The damage is dee ned as either a reduction of stiffness or a change of restoring force characteristics from linear (undamaged state ) to weak nonlinear (damaged state ). One method for identifying both the location and type
Lai-Ah Wong, Jay-Chung Chen
openaire   +1 more source

Novel Study on Strain Modes‐Based Interval Damage Identification Methodology Utilizing Orthogonal Polynomials and Collocation Theories

International Journal for Numerical Methods in Engineering
The sensitivity of strain modes to local stiffness changes within a structure underscores their potential as robust indicators of damage, enhancing the efficacy of damage identification processes.
Lei Wang, Lihang Cheng, Qinghe Shi
semanticscholar   +1 more source

Dynamic Characterization and Damage Identification

2011
This chapter presents selected cases of modal parameter evaluation and damage identification, privileging the applied aspects. The identification of modal parameters is discussed through three experimental cases of masonry structures: a civil building, a monumental structure and a nineteenth century railway bridge.
VESTRONI, Fabrizio, PAU, Annamaria
openaire   +2 more sources

Damage identification by wavelet analysis of modal rotation differences

, 2021
In this paper, a novel damage identification approach based on differences in modal rotation fields obtained from shearographic measurements of structures and post-processed with the 2D continuous wavelet transform-based algorithm is presented.
A. Katunin, J. V. A. Santos, H. Lopes
semanticscholar   +1 more source

Dynamic Response as a Tool for Damage Identification

International Applied Mechanics, 2004
Summary: The change of dynamic characteristics is used to determine the magnitude and location of damage or other imperfections. The applied technique of change of surface curvature mode is compared with other methods. Examples of identification of real structures and models are considered.
Pirner, M., Urushadze, S.
openaire   +1 more source

Structural damage identification based on unsupervised feature-extraction via Variational Auto-encoder

Measurement, 2020
Structural health monitoring (SHM) is a practical tool for assessing the safety and system performance of existing structures. And structural damage identification has become the core of a SHM system.
Xirui Ma   +3 more
semanticscholar   +1 more source

System identification for damage detection in buildings

2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2018
An algorithm for damage detection in a multi-story building modeled by a wave equation with Kelvin damping is presented. Damage detection is achieved by relating stiffness loss with reduction in the shear wave velocity of the seismic induced motion propagation through the structure.
Jesus Morales-Valdez   +2 more
openaire   +1 more source

Identification of Sprout Damage in Oats

Cereal Chemistry, 2003
ABSTRACTSprout damage of oats can occur when mature grain is left in the field after maturity and rainfall induces the germination process in the seeds. Although characteristics of sprout damage have been described thoroughly in many grains including wheat, rye, triticale, and barley, such characteristics have not been identified in oats.
Douglas C. Doehlert, Michael S. McMullen
openaire   +1 more source

A modified transmissibility indicator and Artificial Neural Network for damage identification and quantification in laminated composite structures

, 2020
Recently, more attention has been paid to Artificial Neural Network (ANN) in the field of damage identification of engineering structures based on modal analysis.
Roumaissa Zenzen   +4 more
semanticscholar   +1 more source

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