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

See, Hung Lau and Chee, Khoon Ng and Kai, Meng Tay (2015) Data-driven SIRMs-connected FIS for prediction of external tendon stress. Computers and Concrete, 15 (1). pp. 55-71. ISSN 15988198

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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 of 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 stress increase in externally prestressed tendon, Δfps, is then reported. The contributions of this paper is two folds; (i) it contributes towards a new monotonicity-preserving data-driven FIS model in fuzzy modeling and (ii) it provides a novel solution for estimating the Δfps even without a complete physical knowledge of unbonded tendons. Copyright © 2015 Techno-Press, Ltd.

Item Type: Article
Uncontrolled Keywords: bond reduction coefficient, externally prestressed tendon stress, harmony search, monotonicity index, single input rule modules (SIRMs)-connected fuzzy inference system (FIS), unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Saman
Date Deposited: 13 Jan 2017 08:23
Last Modified: 06 Feb 2017 07:04
URI: http://ir.unimas.my/id/eprint/14852

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