Data-driven SIRMs-connected FIS for prediction of external tendon stress

Tay, K.M and See, Hung Lau and Chee, Khoon Ng (2015) Data-driven SIRMs-connected FIS for prediction of external tendon stress. Computers and Concrete.

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Abstract

This paper presents a novel harmony search (HS)-based data-driven single input rule modules (SIRMs)- connected fuzzy inference system (FIS) for the prediction of stress in externally prestressed tendon. The proposed method attempts to extract causal relationship of a system from an input-output pairs of data even without knowing the complete physical knowledge of the system. The monotonicity property is then exploited as an additional qualitative information to obtain a meaningful SIRMs-connected FIS model. This method is then validated using results from test data from the literature. Several parameters, such as initial tendon depth to beam ratio; deviators spacing to the initial tendon depth ratio; and distance of a concentrated load from the nearest support to the effective beam span are considered. A computer simulation for estimating the bond reduction coefficient   u  is then reported. The contributions of this paper is two folds; (1) it contributes towards a new monotonicity-preserving data-driven FIS model in fuzzy modeling and (2) it provides a novel solution for estimating the u  even without a complete physical knowledge of unbonded tendons.

Item Type: E-Article
Uncontrolled Keywords: bond reduction coefficient; externally prestressed tendon stress; harmony search; monotonicity index; single input rule modules (SIRMs)-connected fuzzy inference system (FIS), research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, undergraduate
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Meng
Date Deposited: 02 Jul 2015 05:39
Last Modified: 02 Jul 2015 05:39
URI: http://ir.unimas.my/id/eprint/8144

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