Neuro-control of fixed offshore structures under earthquake
An intelligent control technique using a neural network is proposed for seismic protection of offshore structures. Fluid-structure interaction was considered in developing controller and a training algorithm for the neuron-controller is presented. In the numerical example, the performance of the pro...
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| Veröffentlicht in: | Engineering structures 2009-02, Vol.31 (2), p.517-522 |
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| container_title | Engineering structures |
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| creator | Kim, Dong Hyawn |
| description | An intelligent control technique using a neural network is proposed for seismic protection of offshore structures. Fluid-structure interaction was considered in developing controller and a training algorithm for the neuron-controller is presented. In the numerical example, the performance of the proposed neuron-controller was evaluated. Moreover, a neuron-controller is tested even when it is trained by using a linearized equation of motion for fluid structure interaction (FSI). Based on the examples, it can be concluded that the proposed neuro-control scheme can be used for offshore structures which have intrinsic nonlinearity due to FSI. |
| doi_str_mv | 10.1016/j.engstruct.2008.10.002 |
| format | Article |
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Fluid-structure interaction was considered in developing controller and a training algorithm for the neuron-controller is presented. In the numerical example, the performance of the proposed neuron-controller was evaluated. Moreover, a neuron-controller is tested even when it is trained by using a linearized equation of motion for fluid structure interaction (FSI). Based on the examples, it can be concluded that the proposed neuro-control scheme can be used for offshore structures which have intrinsic nonlinearity due to FSI.</description><identifier>ISSN: 0141-0296</identifier><identifier>EISSN: 1873-7323</identifier><identifier>DOI: 10.1016/j.engstruct.2008.10.002</identifier><identifier>CODEN: ENSTDF</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Buildings. 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Fluid-structure interaction was considered in developing controller and a training algorithm for the neuron-controller is presented. In the numerical example, the performance of the proposed neuron-controller was evaluated. Moreover, a neuron-controller is tested even when it is trained by using a linearized equation of motion for fluid structure interaction (FSI). Based on the examples, it can be concluded that the proposed neuro-control scheme can be used for offshore structures which have intrinsic nonlinearity due to FSI.</description><subject>Applied sciences</subject><subject>Buildings. Public works</subject><subject>Control</subject><subject>Exact sciences and technology</subject><subject>Fluid structure interaction</subject><subject>Geotechnics</subject><subject>Hydraulic constructions</subject><subject>Intelligent control</subject><subject>Neural network</subject><subject>Offshore structure</subject><subject>Offshore structure (platforms, tanks, etc.)</subject><subject>Seismic protection</subject><subject>Stresses. Safety</subject><subject>Structural analysis. 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| ispartof | Engineering structures, 2009-02, Vol.31 (2), p.517-522 |
| issn | 0141-0296 1873-7323 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_36083363 |
| source | ScienceDirect Journals (5 years ago - present) |
| subjects | Applied sciences Buildings. Public works Control Exact sciences and technology Fluid structure interaction Geotechnics Hydraulic constructions Intelligent control Neural network Offshore structure Offshore structure (platforms, tanks, etc.) Seismic protection Stresses. Safety Structural analysis. Stresses Structure-soil interaction |
| title | Neuro-control of fixed offshore structures under earthquake |
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