Modelling Nonlinear System Identification with Response Surface Methodology
Adeola Schmidt
Corresponding
Bangladesh Institute of Technology, Chittagong
Abstract
The high cost of imported equipment motivates an indigenous investigation of nonlinear system identification suited to local reinforced concrete structures. A prototype was constructed and its behaviour compared with predictions obtained from response surface methodology. Only 6 of the configurations examined satisfied all of the imposed constraints simultaneously. These results may inform the development of appropriate national standards and codes of practice.
Keywords:
nonlinear system identificationresponse surface methodologyfinite element methodcomputational fluid dynamicsKalman filter
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