Abdul Nariman, Nazim and Kumar Nhaichaniya, Gajendra and Dana Bahaulddin, Nma (2023) RESPONSE SURFACE MODEL QUANTIFICATION FOR YIELDING STRENGTH IN A BRIDGE GIRDER. International Journal of Bridge Engineering (IJBE), 11 (2). pp. 53-64. ISSN 2241-7443
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IJBE-11-2-2023_Nariman_Et_Al_53_64.pdf - Published Version Download (441kB) |
Abstract
The construction of response surface model which represents the behavior of the pre-stressed bridge girder is the objective of this paper. Five parameters which belong to the mechanical properties of both concrete and steel bars in addition to the pre-stressing magnitude would be deployed. The Latin Hypercube sampling method is being utilized to build 25 models for the numerical simulations using ABAQUS program. MATLAB code with the support of least square method are used to determine the response surface model for the yielding strength of the pre-stressed bridge girder. The response surface model will undergo reliability chech by the adoption of coefficient of determination analysis. The results of the regression coefficients manifested a great representation of the behavior of the bridge girder behavior under both static and dynamic loadings. The coefficient of determination for the response surface model was R2=1 which means that the response prediction through the response surface model is totally illustrating the actual behavior of the structural member. The numerical simulations are highly confirming the yielding strain situation in parallel with the results of the response surface model. The results can be further processed to control the design of the pre-stressed bridge girder by the employment of optimization methods.
Item Type: | Article |
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Uncontrolled Keywords: | Pre-stressed Concrete; Least Square Method; Latin Hypercube Method; Regression Coefficients; Maximum Principal Strain |
Subjects: | Engineering > Architectural Engineering Engineering > TA Engineering (General). Civil engineering (General) Engineering > Survey and Geomatics Engineering > TH Building construction Engineering > TP Chemical technology |
Depositing User: | ePrints deposit |
Date Deposited: | 24 Sep 2024 13:50 |
Last Modified: | 24 Sep 2024 13:50 |
URI: | http://eprints.tiu.edu.iq/id/eprint/1699 |
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