An Introduction to Damage Prognosis

2005 ◽  
pp. 1-12 ◽  
Author(s):  
Charles R. Farrar ◽  
Nick A.J. Lieven ◽  
Matthew T. Bement
Keyword(s):  
Damage Prognosis

Oxygen enhanced crack growth in nickel-based superalloys and materials damage prognosis

2009 ◽  
Vol 76 (5) ◽  
pp. 715-727 ◽  
Author(s):  
Robert P. Wei ◽  
Christopher Miller ◽  
Zhifan Huang ◽  
Gary W. Simmons ◽  
D. Gary Harlow
Keyword(s):  
Crack Growth ◽  
Damage Prognosis

A Two Step Damage Prognosis Method for Beam-Like Truss Structures

2014 ◽  
Vol 578-579 ◽  
pp. 1092-1095
Author(s):  
Hao Kai Jia ◽  
Ling Yu
Keyword(s):  
Finite Element Method ◽  
Strain Energy ◽  
Truss Structure ◽  
Truss Structures ◽  
Second Step ◽  
The Finite Element Method ◽  
Modal Strain Energy ◽  
Damage Prognosis ◽  
Modal Curvature ◽  
Simulation Results

In this study, a two step damage prognosis method is proposed for beam-like truss structures via combining modal curvature change (MCC) with modal strain energy change ratio (MSECR). Changes in the modal curvature and the elemental strain energy are selected as the indicator of damage prognosis. Different damage elements with different damage degrees are simulated. In the first step, the finite element method is used to model a beam-like truss structure and the displacement modes are got. The damage region is estimated by the MCC of top and bottom chords of a beam-like truss structure. In the second step, the elemental MSECR in the damage region is calculated and the maximum MSECR element is deemed as the damage element. The simulation results show that this method can accurately locate the damage in the beam-like truss structure.

scholarly journals A DAMAGE PROGNOSIS METHODOLOGY FOR A SIMPLE CRACKED BEAM

2018 ◽  
Vol 48 (1) ◽  
pp. 43-49
Author(s):  
E. A. PRESEZNIAK ◽  
J. E. PEREZ IPIÑA ◽  
C. A. BAVASTRI
Keyword(s):  
Fracture Mechanics ◽  
Nonlinear Optimization ◽  
Optimization Techniques ◽  
Crack Identification ◽  
Remaining Life ◽  
Damage Prognosis ◽  
Mechanics Concepts ◽  
Dynamic Structures ◽  
High Level

Damage prognosis uses numerical and experimental responses to identify damage in structures or part of them, thus allowing the remaining structural life estimation at a high level of precision. Current methods focalize on crack identification; however, a complete methodology to estimate the remaining life of a cracked structure is less developed. A methodology is presented in this paper drawing on concepts such as wavelets transform, dynamic structures, and vibration signals for crack identification; and fracture mechanics and nonlinear optimization to obtain the remaining life. Finite element theory was applied to obtain its vibration modes. The crack was modeled as a flexural spring connected to the elements in the crack position and the crack identification was performed in the wavelet domain. Nonlinear optimization techniques and fracture mechanics concepts were used to estimate the remaining fatigue life. A numerical-experimental case study is solved to show the fundamentals of this methodology.

Vehicle-induced fatigue damage prognosis of orthotropic steel decks of cable-stayed bridges

2020 ◽  
Vol 212 ◽  
pp. 110509
Author(s):  
Chuang Cui ◽  
You-Lin Xu ◽  
Qing-Hua Zhang ◽  
Feng-Yang Wang
Keyword(s):  
Fatigue Damage ◽  
Damage Prognosis ◽  
Orthotropic Steel Decks ◽  
Cable Stayed Bridges

Sensing and Data Acquisition Issues for Damage Prognosis

2005 ◽  
pp. 305-321 ◽  
Author(s):  
Charles R. Farrar ◽  
Phillip J. Cornwell ◽  
Norman F. Hunter ◽  
Nick A.J. Lieven
Keyword(s):  
Data Acquisition ◽  
Damage Prognosis

An Updated Comparison of the Force Reconstruction Methods

2007 ◽  
Vol 347 ◽  
pp. 461-466 ◽  
Author(s):  
M. Klinikov ◽  
Claus Peter Fritzen
Keyword(s):  
Life Time ◽  
Remaining Life ◽  
Dynamic Measurements ◽  
Practical Applications ◽  
Damage Prognosis ◽  
Advantages And Disadvantages ◽  
Reconstruction Methods ◽  
Force Reconstruction ◽  
External Loads ◽  
Online Reconstruction

For purposes of monitoring and damage prognosis it is important to know the external loads which act on a structure. The knowledge of these loads enables us to make an assessment of damage after extreme events and updated forecasts of the remaining life-time. In many practical applications it is not possible to measure the forces e.g. resulting from wind loads or traffic directly. Therefore, these forces are determined indirectly from dynamic measurements. In this contribution, an updated overview of available time domain load reconstruction methods is presented. An attempt of highlighting the main advantages and disadvantages of different approaches, which are used in engineering is done. The importance of sensors type as well as their locations is considered for each approach. Finally, the methods applicability to real structures, where the online reconstruction plays an important role, is discussed.

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