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Research On A Prediction Model Of Bending Behavior & Optimization Design Of Multi-ribbed Composite Wall Which Is Based On BP Network

Posted on:2010-01-19Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y ZhaoFull Text:PDF
GTID:2132360278952412Subject:Structural engineering
Abstract/Summary:PDF Full Text Request
In recent years, environment protecting is cared by people much more than before. It is essential to develop a new engineering structure system of low mass-high strength, economic on energy and seismic protecting environment.Multi-ribbed slab structure is a new economic and practical structural system, characterized by lightweight, good seismic behaviors, highly industrialized level, fast construction and excellent energy-saving effect. However, as a new structural system with a broad developing prospect, there are still some problems to be further studied and perfected. The optimization design, and the damage reduction seism resign need to do much more work.Through the BP Network, a prediction model of bending behavior be made and do researches on optimization design of Multi-ribbed Composite Wall. The main works can be detailed as following:1,Combined with previous formula and test results of multi-ribbed composite walls, the walls' two typical failure modes and failure mechanisms are contrastively analyzed.2,It is therefore concluded that the network results on the composite walls under compression, bending and shear presented in the paper should be reasonably reliable.3,The optimization results are compared and analyzed. Moreover, the influencing factors of the optimization results are discussed. Theoretical analysis and calculated results show that the ANN for the multi-storied multi-ribbed slab structure was found to be reasonable, practicable and have some meaning to the practical engineering.
Keywords/Search Tags:Multi-ribbed Composite Wall, flexural behavior, prediction model, optimization design, BP Network
PDF Full Text Request
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