Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength

被引：301

作者：

Safa, M. ^{[1
]}

Shariati, M. ^{[1
]}

Ibrahim, Z. ^{[1
]}

Toghroli, A. ^{[1
]}

Bin Baharom, Shahrizan ^{[2
]}

Nor, Norazman M. ^{[3
]}

Petkovic, Dalibor ^{[4
]}

机构：

[1] Univ Malaya, Dept Civil Engn, Kuala Lumpur 50603, Malaysia

[2] Natl Univ Malaysia, Dept Civil & Struct Engn, Bangi, Selangor, Malaysia

[3] Natl Def Univ Malaysia, Kuala Lumpur 57000, Malaysia

[4] Univ Nis, Fac Mech Engn, Dept Mechatron & Control, Aleksandra Medvedeva 14, Nish 18000, Serbia

来源：

STEEL AND COMPOSITE STRUCTURES | 2016年 / 21卷 / 03期

关键词：

ANFIS; forecasting; steel-concrete composite beam; shear capacity; CONNECTORS; PREDICTION; BEHAVIOR; CHANNEL; ANFIS; FULL;

D O I：

10.12989/scs.2016.21.3.679

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Structural design of a composite beam is influenced by two main factors, strength and ductility. For the design to be effective for a composite beam, say an RC slab and a steel I beam, the shear strength of the composite beam and ductility have to carefully estimate with the help of displacements between the two members. In this investigation the shear strengths of steel-concrete composite beams was analyzed based on the respective variable parameters. The methodology used by ANFIS (Adaptive Neuro Fuzzy Inference System) has been adopted for this purpose. The detection of the predominant factors affecting the shear strength steel- concrete composite beam was achieved by use of ANFIS process for variable selection. The results show that concrete compression strength has the highest influence on the shear strength capacity of composite beam.

引用

页码：679 / 688

页数：10

共 38 条

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