Optimal Sensor Placement for High-Rise Building via Genetic Algorithms and Improved Information Matrix Criterion

Abstract:

To improve the accuracy of parameter identification and to reduce the test cost in the high-rise structure health monitoring systems , the paper proposes an optimal placement method combines genetic algorithms with improved information matrix criterion (GA-IIM). With traditional improved effective independent method (EFI-DPR), it is easily trapped into bureau of optimum solution, and the proposed method can resolve this problem. The solutions were coded by a two-dimensional integer array, each line stored a feasible solution and compulsory mutation was adopted to avoid the solution reappeared in the same position. To improve the convergence speed, each generation of optimal group was kept to the next one to participate in the competition. With the improved information matrix criterion embedded in the genetic algorithms, the placement design was produced. This technique was used to optimize the sensor placement of a nineteenth layer frame structure. Comparing the optimized sensor placement of the proposed method with that of improved effective independent method by the modal assurance criterion and the mean square error, the proposed method performs better.

• Periodical: Advanced Materials Research (Volumes 368-373)
• Pages: 1653-1659
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.368-373.1653
• Online since: October 2011
• Authors: Shu Lin Zhan, Fang Huang, Jun Ying Lai
• Keywords: Genetic Algorithm (GA), High-Rise Structure, Improved Information Matrix Criterion, Sensor Optimal Placement

References

[1] Charles R Farrar, Keith Worden: An introduction to structural health monitoring, (2007) , (365):303-315.

[2] Xirong Peng, Xinying Lu: Advances in Optimal Sensor Placement for Structural Health Monitor, (2007), 37(z1):1033-1037. ( in Chinese)

[3] Kammer D C: Sensor Placement for on Orbit Modal Identification and Correlation of Large Space Structures , (1991), 26(1):104-121.

DOI: 10.23919/acc.1990.4791265

[4] Meo M, Zumpano G: On the Optimal Sensor Placement Techniques for a Bridge Structure Engineering Structures , (2005), (27):1488–1497.

DOI: 10.1016/j.engstruct.2005.03.015

[5] AbdullahM M, Richardson A , Hanif J: Placement of sensor/actuators on civil structures using genetic algorithms Earthq, (2001), (30):1167–1184.

DOI: 10.1002/eqe.57

[6] Minqiang Li, Jisong Kou, Dan Lin, Shuquan Li: Theory and Application of Genetic algorithms[M].Beijing: Science Press, (2002).

[7] Udwadia, F. E., Garba, J. A.: Optimal sensor locations for structural identification,(1978): 247-261.

[8] Thomas G. C., Clark R. D.: A Modal Test Design Strategy for Modal Correlation, (1995) :927-933.