Boundary condition identification for a grid model by experimental and numerical dynamic analysis

Qiang Mao; John Devitis; Matteo Mazzotti; Ivan Bartoli; Franklin Moon; Kurt Sjoblom; Emin Aktan

doi:10.1117/12.2084194

Boundary condition identification for a grid model by experimental and numerical dynamic analysis

Qiang Mao, John Devitis, Matteo Mazzotti, Ivan Bartoli, Franklin Moon, Kurt Sjoblom, Emin Aktan

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

1 Scopus citations

Abstract

There is a growing need to characterize unknown foundations and assess substructures in existing bridges. It is becoming an important issue for the serviceability and safety of bridges as well as for the possibility of partial reuse of existing infrastructures. Within this broader contest, this paper investigates the possibility of identifying, locating and quantifying changes of boundary conditions, by leveraging a simply supported grid structure with a composite deck. Multi-reference impact tests are operated for the grid model and modification of one supporting bearing is done by replacing a steel cylindrical roller with a roller of compliant material. Impact based modal analysis provide global modal parameters such as damped natural frequencies, mode shapes and flexibility matrix that are used as indicators of boundary condition changes. An updating process combining a hybrid optimization algorithm and the finite element software suit ABAQUS is presented in this paper. The updated ABAQUS model of the grid that simulates the supporting bearing with springs is used to detect and quantify the change of the boundary conditions.

Original language	English (US)
Title of host publication	Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015
Editors	Peter J. Shull
Publisher	SPIE
ISBN (Electronic)	9781628415407
DOIs	https://doi.org/10.1117/12.2084194
State	Published - Jan 1 2015
Externally published	Yes
Event	Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015 - San Diego, United States Duration: Mar 9 2015 → Mar 12 2015

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9437
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Other

Other	Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015
Country	United States
City	San Diego
Period	3/9/15 → 3/12/15

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Keywords

Finite Element Model Updating
Modal Analysis
Structural Identification

Access to Document

10.1117/12.2084194

Fingerprint Dive into the research topics of 'Boundary condition identification for a grid model by experimental and numerical dynamic analysis'. Together they form a unique fingerprint.

Cite this

Mao, Q., Devitis, J., Mazzotti, M., Bartoli, I., Moon, F., Sjoblom, K., & Aktan, E. (2015). Boundary condition identification for a grid model by experimental and numerical dynamic analysis. In P. J. Shull (Ed.), Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015 [94370J] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9437). SPIE. https://doi.org/10.1117/12.2084194

Mao, Qiang ; Devitis, John ; Mazzotti, Matteo ; Bartoli, Ivan ; Moon, Franklin ; Sjoblom, Kurt ; Aktan, Emin. / Boundary condition identification for a grid model by experimental and numerical dynamic analysis. Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015. editor / Peter J. Shull. SPIE, 2015. (Proceedings of SPIE - The International Society for Optical Engineering).

@inproceedings{677713b012a640bbab5c47e09d569acc,

title = "Boundary condition identification for a grid model by experimental and numerical dynamic analysis",

abstract = "There is a growing need to characterize unknown foundations and assess substructures in existing bridges. It is becoming an important issue for the serviceability and safety of bridges as well as for the possibility of partial reuse of existing infrastructures. Within this broader contest, this paper investigates the possibility of identifying, locating and quantifying changes of boundary conditions, by leveraging a simply supported grid structure with a composite deck. Multi-reference impact tests are operated for the grid model and modification of one supporting bearing is done by replacing a steel cylindrical roller with a roller of compliant material. Impact based modal analysis provide global modal parameters such as damped natural frequencies, mode shapes and flexibility matrix that are used as indicators of boundary condition changes. An updating process combining a hybrid optimization algorithm and the finite element software suit ABAQUS is presented in this paper. The updated ABAQUS model of the grid that simulates the supporting bearing with springs is used to detect and quantify the change of the boundary conditions.",

keywords = "Finite Element Model Updating, Modal Analysis, Structural Identification",

author = "Qiang Mao and John Devitis and Matteo Mazzotti and Ivan Bartoli and Franklin Moon and Kurt Sjoblom and Emin Aktan",

year = "2015",

month = jan,

day = "1",

doi = "10.1117/12.2084194",

language = "English (US)",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Shull, {Peter J.}",

booktitle = "Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015",

address = "United States",

note = "Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015 ; Conference date: 09-03-2015 Through 12-03-2015",

}

Mao, Q, Devitis, J, Mazzotti, M, Bartoli, I, Moon, F, Sjoblom, K & Aktan, E 2015, Boundary condition identification for a grid model by experimental and numerical dynamic analysis. in PJ Shull (ed.), Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015., 94370J, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9437, SPIE, Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015, San Diego, United States, 3/9/15. https://doi.org/10.1117/12.2084194

Boundary condition identification for a grid model by experimental and numerical dynamic analysis. / Mao, Qiang; Devitis, John; Mazzotti, Matteo; Bartoli, Ivan; Moon, Franklin; Sjoblom, Kurt; Aktan, Emin.

Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015. ed. / Peter J. Shull. SPIE, 2015. 94370J (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9437).

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

TY - GEN

T1 - Boundary condition identification for a grid model by experimental and numerical dynamic analysis

AU - Mao, Qiang

AU - Devitis, John

AU - Mazzotti, Matteo

AU - Bartoli, Ivan

AU - Moon, Franklin

AU - Sjoblom, Kurt

AU - Aktan, Emin

PY - 2015/1/1

Y1 - 2015/1/1

N2 - There is a growing need to characterize unknown foundations and assess substructures in existing bridges. It is becoming an important issue for the serviceability and safety of bridges as well as for the possibility of partial reuse of existing infrastructures. Within this broader contest, this paper investigates the possibility of identifying, locating and quantifying changes of boundary conditions, by leveraging a simply supported grid structure with a composite deck. Multi-reference impact tests are operated for the grid model and modification of one supporting bearing is done by replacing a steel cylindrical roller with a roller of compliant material. Impact based modal analysis provide global modal parameters such as damped natural frequencies, mode shapes and flexibility matrix that are used as indicators of boundary condition changes. An updating process combining a hybrid optimization algorithm and the finite element software suit ABAQUS is presented in this paper. The updated ABAQUS model of the grid that simulates the supporting bearing with springs is used to detect and quantify the change of the boundary conditions.

AB - There is a growing need to characterize unknown foundations and assess substructures in existing bridges. It is becoming an important issue for the serviceability and safety of bridges as well as for the possibility of partial reuse of existing infrastructures. Within this broader contest, this paper investigates the possibility of identifying, locating and quantifying changes of boundary conditions, by leveraging a simply supported grid structure with a composite deck. Multi-reference impact tests are operated for the grid model and modification of one supporting bearing is done by replacing a steel cylindrical roller with a roller of compliant material. Impact based modal analysis provide global modal parameters such as damped natural frequencies, mode shapes and flexibility matrix that are used as indicators of boundary condition changes. An updating process combining a hybrid optimization algorithm and the finite element software suit ABAQUS is presented in this paper. The updated ABAQUS model of the grid that simulates the supporting bearing with springs is used to detect and quantify the change of the boundary conditions.

KW - Finite Element Model Updating

KW - Modal Analysis

KW - Structural Identification

UR - http://www.scopus.com/inward/record.url?scp=84943417663&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84943417663&partnerID=8YFLogxK

U2 - 10.1117/12.2084194

DO - 10.1117/12.2084194

M3 - Conference contribution

AN - SCOPUS:84943417663

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015

A2 - Shull, Peter J.

PB - SPIE

T2 - Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015

Y2 - 9 March 2015 through 12 March 2015

ER -

Mao Q, Devitis J, Mazzotti M, Bartoli I, Moon F, Sjoblom K et al. Boundary condition identification for a grid model by experimental and numerical dynamic analysis. In Shull PJ, editor, Structural Health Monitoring and Inspection of Advanced Materials, Aerospace, and Civil Infrastructure 2015. SPIE. 2015. 94370J. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2084194