2026-09-19T13:54:28Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/83518 2023-07-11 col_2142_5131 col_2142_14770 com_2142_5130 com_2142_3518 com_2142_234

Ghaboussi, Jamshid Chou, Jung-Huai 2015-09-25T21:05:23Z 2015-09-25T21:05:23Z 10000-01-01 2000 2000 A new methodology is developed to monitor the structural condition through non-destructive evaluation techniques using genetic algorithms. System identification techniques are used to establish the mathematical model of the real structural system through parametric methods. The problem of structural condition monitoring is formulated as an optimization problem. The remotely sensed static measurements, such as displacements and strains, under normal service loads are used to estimate the state of the structure. Genetic algorithm (GA), one of the computational intelligence methods, employs a highly parallel, massive, and adaptive computational environment to accomplish the mathematically difficult tasks in the structural condition monitoring. The feasibility of the proposed methodology is verified by the application to the detection and identification of structural damage. The location and magnitude of the damage in the element level defined as the stiffness change in structural members; and the location and size of the damage in the detailed level defined as the fracture damage in beam structures are successfully determined. Made available in DSpace on 2015-09-25T21:05:23Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9989963.pdf: 14763506 bytes, checksum: 9aa7238c1fde5bcde052d7cf5bcc3b96 (MD5) Previous issue date: 2000 Embargo set by: Seth Robbins for item 84799 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 288 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000. http://hdl.handle.net/2142/83518 (MiAaPQ)AAI9989963 eng Engineering, Civil Study of Condition Monitoring of Bridges Using Genetic Algorithms text Civil Engineering Civil Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.