Structural damage identification using adaptive immune clonal selection algorithm and acceleration data

R. Li; A. Mita

doi:10.1117/12.879782

Structural damage identification using adaptive immune clonal selection algorithm and acceleration data

R. Li, A. Mita

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

4 Citations (Scopus)

Abstract

In order to identify damage of civil engineering structures precisely and efficiently, an approach for damage identification by employing Adaptive Immune Clonal Selection Algorithm (AICSA) is proposed. By utilizing secondary response, adaptive mutation regulation and vaccination operator, AICSA achieves the dynamic control of evolution process, which realizes global optimal computing combined with the local searching. Compared with basic clonal selection algorithm, AICSA improves convergence rate and global optimum searching ability. The experimental results show that AICSA can efficiently and precisely identify single and multiple damages of civil engineering structures respect to different damage location, extent and measurement noise.

Original language	English
Title of host publication	Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011
DOIs	https://doi.org/10.1117/12.879782
Publication status	Published - 2011
Externally published	Yes
Event	Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011 - San Diego, CA, United States Duration: 2011 Mar 7 → 2011 Mar 10

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7981
ISSN (Print)	0277-786X

Other

Other	Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011
Country/Territory	United States
City	San Diego, CA
Period	11/3/7 → 11/3/10

Keywords

AICSA
SHM
damage identification
immune

ASJC Scopus subject areas

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1117/12.879782

Cite this

Structural damage identification using adaptive immune clonal selection algorithm and acceleration data. / Li, R.; Mita, A.
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011. 2011. 79815A (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7981).

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

Li, R & Mita, A 2011, Structural damage identification using adaptive immune clonal selection algorithm and acceleration data. in Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011., 79815A, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7981, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011, San Diego, CA, United States, 11/3/7. https://doi.org/10.1117/12.879782

@inproceedings{0092e21990ea451ea58172dd5a659cc2,

title = "Structural damage identification using adaptive immune clonal selection algorithm and acceleration data",

abstract = "In order to identify damage of civil engineering structures precisely and efficiently, an approach for damage identification by employing Adaptive Immune Clonal Selection Algorithm (AICSA) is proposed. By utilizing secondary response, adaptive mutation regulation and vaccination operator, AICSA achieves the dynamic control of evolution process, which realizes global optimal computing combined with the local searching. Compared with basic clonal selection algorithm, AICSA improves convergence rate and global optimum searching ability. The experimental results show that AICSA can efficiently and precisely identify single and multiple damages of civil engineering structures respect to different damage location, extent and measurement noise.",

keywords = "AICSA, SHM, damage identification, immune",

author = "R. Li and A. Mita",

year = "2011",

doi = "10.1117/12.879782",

language = "English",

isbn = "9780819485434",

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

booktitle = "Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011",

note = "Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011 ; Conference date: 07-03-2011 Through 10-03-2011",

}

TY - GEN

T1 - Structural damage identification using adaptive immune clonal selection algorithm and acceleration data

AU - Li, R.

AU - Mita, A.

PY - 2011

Y1 - 2011

N2 - In order to identify damage of civil engineering structures precisely and efficiently, an approach for damage identification by employing Adaptive Immune Clonal Selection Algorithm (AICSA) is proposed. By utilizing secondary response, adaptive mutation regulation and vaccination operator, AICSA achieves the dynamic control of evolution process, which realizes global optimal computing combined with the local searching. Compared with basic clonal selection algorithm, AICSA improves convergence rate and global optimum searching ability. The experimental results show that AICSA can efficiently and precisely identify single and multiple damages of civil engineering structures respect to different damage location, extent and measurement noise.

AB - In order to identify damage of civil engineering structures precisely and efficiently, an approach for damage identification by employing Adaptive Immune Clonal Selection Algorithm (AICSA) is proposed. By utilizing secondary response, adaptive mutation regulation and vaccination operator, AICSA achieves the dynamic control of evolution process, which realizes global optimal computing combined with the local searching. Compared with basic clonal selection algorithm, AICSA improves convergence rate and global optimum searching ability. The experimental results show that AICSA can efficiently and precisely identify single and multiple damages of civil engineering structures respect to different damage location, extent and measurement noise.

KW - AICSA

KW - SHM

KW - damage identification

KW - immune

UR - http://www.scopus.com/inward/record.url?scp=79956336244&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79956336244&partnerID=8YFLogxK

U2 - 10.1117/12.879782

DO - 10.1117/12.879782

M3 - Conference contribution

AN - SCOPUS:79956336244

SN - 9780819485434

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

BT - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011

T2 - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2011

Y2 - 7 March 2011 through 10 March 2011

ER -

Structural damage identification using adaptive immune clonal selection algorithm and acceleration data

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this