Probabilistic fatigue analysis for structural health monitoring

S. S. Kulkarni; Li Sun; B. Moran; Sridhar Krishnaswamy; Jan Drewes Achenbach

Probabilistic fatigue analysis for structural health monitoring

S. S. Kulkarni^*, Li Sun, B. Moran, Sridhar Krishnaswamy, Jan Drewes Achenbach

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A probabilistic fatigue damage analysis procedure which is coupled to a structural health monitoring system is discussed. The conceptual monitoring system includes a pair of ultrasonic sensors - a narrowband SAW generator and a harmonically matched SAW receiver. The sensors provide information of the current level of damage by monitoring the second harmonic in the SAW signal as a function of loading and number of cycles. This information is then transferred to the probabilistic fatigue damage analysis procedure for probabilistic forecasting of the damage evolution of the component. Here we report preliminary results obtained by applying this methodology to experimental data.

Original language	English (US)
Title of host publication	11th International Conference on Fracture 2005, ICF11
Pages	1-5
Number of pages	5
Volume	1
State	Published - Dec 1 2005
Event	11th International Conference on Fracture 2005, ICF11 - Turin, Italy Duration: Mar 20 2005 → Mar 25 2005

Other

Other	11th International Conference on Fracture 2005, ICF11
Country/Territory	Italy
City	Turin
Period	3/20/05 → 3/25/05

ASJC Scopus subject areas

Geotechnical Engineering and Engineering Geology

Cite this

@inproceedings{a2b9dc57d086458a8457df025ef13c19,

title = "Probabilistic fatigue analysis for structural health monitoring",

abstract = "A probabilistic fatigue damage analysis procedure which is coupled to a structural health monitoring system is discussed. The conceptual monitoring system includes a pair of ultrasonic sensors - a narrowband SAW generator and a harmonically matched SAW receiver. The sensors provide information of the current level of damage by monitoring the second harmonic in the SAW signal as a function of loading and number of cycles. This information is then transferred to the probabilistic fatigue damage analysis procedure for probabilistic forecasting of the damage evolution of the component. Here we report preliminary results obtained by applying this methodology to experimental data.",

author = "Kulkarni, {S. S.} and Li Sun and B. Moran and Sridhar Krishnaswamy and Achenbach, {Jan Drewes}",

year = "2005",

month = dec,

day = "1",

language = "English (US)",

isbn = "9781617820632",

volume = "1",

pages = "1--5",

booktitle = "11th International Conference on Fracture 2005, ICF11",

note = "11th International Conference on Fracture 2005, ICF11 ; Conference date: 20-03-2005 Through 25-03-2005",

}

TY - GEN

T1 - Probabilistic fatigue analysis for structural health monitoring

AU - Kulkarni, S. S.

AU - Sun, Li

AU - Moran, B.

AU - Krishnaswamy, Sridhar

AU - Achenbach, Jan Drewes

PY - 2005/12/1

Y1 - 2005/12/1

N2 - A probabilistic fatigue damage analysis procedure which is coupled to a structural health monitoring system is discussed. The conceptual monitoring system includes a pair of ultrasonic sensors - a narrowband SAW generator and a harmonically matched SAW receiver. The sensors provide information of the current level of damage by monitoring the second harmonic in the SAW signal as a function of loading and number of cycles. This information is then transferred to the probabilistic fatigue damage analysis procedure for probabilistic forecasting of the damage evolution of the component. Here we report preliminary results obtained by applying this methodology to experimental data.

AB - A probabilistic fatigue damage analysis procedure which is coupled to a structural health monitoring system is discussed. The conceptual monitoring system includes a pair of ultrasonic sensors - a narrowband SAW generator and a harmonically matched SAW receiver. The sensors provide information of the current level of damage by monitoring the second harmonic in the SAW signal as a function of loading and number of cycles. This information is then transferred to the probabilistic fatigue damage analysis procedure for probabilistic forecasting of the damage evolution of the component. Here we report preliminary results obtained by applying this methodology to experimental data.

UR - http://www.scopus.com/inward/record.url?scp=84869841916&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84869841916&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84869841916

SN - 9781617820632

VL - 1

SP - 1

EP - 5

BT - 11th International Conference on Fracture 2005, ICF11

T2 - 11th International Conference on Fracture 2005, ICF11

Y2 - 20 March 2005 through 25 March 2005

ER -

Probabilistic fatigue analysis for structural health monitoring

Abstract

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this