Probabilistic assessment of axial load-carrying capacity of FRCM-strengthened concrete columns using artificial neural network and Monte Carlo simulation-Reference-Cited by-同舟云学术

Probabilistic assessment of axial load-carrying capacity of FRCM-strengthened concrete columns using artificial neural network and Monte Carlo simulation

Published:2022-12 Issue: Volume:17 Page:e01248
ISSN:2214-5095
Container-title:Case Studies in Construction Materials
language:en
Short-container-title:Case Studies in Construction Materials

Author:

Irandegani Mohammad Ali,Zhang Daxu,Shadabfar Mahdi

Funder

Shanghai Municipality Science and Technology Commission

China Scholarship Council

Natural Science Foundation of Shanghai

Shanghai Jiao Tong University

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Materials Science (miscellaneous)

Reference45 articles.

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2. Flexural behaviour of RC members strengthened with FRCM: state-of-the-art and predictive formulas;Bencardino;Compos B Eng.,2018

3. Hybrid NSE/EB technique for shear strengthening of reinforced concrete beams using FRCM: experimental study;Wakjira;Constr. Build. Mater.,2018

4. Behavior of shear-critical RC beams strengthened with CFRCM;Azam;J. Compost Constr.,2018

5. A study of the effect of fiber orientation on the torsional behavior of RC beams strengthened with PBO-FRCM composite;Alabdulhady;Constr. Build. Mater.,2018

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