Models for strength prediction of foam concrete

Materials and Structures ◽

10.1617/s11527-007-9234-0 ◽

2007 ◽

Vol 41 (2) ◽

pp. 247-254 ◽

Author(s):

E. K. Kunhanandan Nambiar ◽

K. Ramamurthy

Keyword(s):

Strength Prediction ◽

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The use of steel cylindrical nuggets for joints of combined foam concrete elements

Building constructions. Theory and Practice ◽

10.32347/2522-4182.3.2018.68-78 ◽

2018 ◽

Vol 1 (3) ◽

pp. 68-78

Author(s):

Yuriy Famulyak

Keyword(s):

Foam Concrete ◽

Concrete Elements

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Residual strength prediction of aircraft fuselages using crack-tip opening angle criterion

AIAA Journal ◽

10.2514/3.15098 ◽

2002 ◽

Vol 40 ◽

pp. 566-575

Author(s):

C.-S. Chen ◽

P. A. Wawrzynek ◽

A. R. Ingraffea

Keyword(s):

Residual Strength ◽

Crack Tip ◽

Strength Prediction ◽

Opening Angle ◽

Crack Tip Opening Angle ◽

Angle Criterion ◽

Crack Tip Opening

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Strength prediction of fiber reinforced plastics with a hole under compression-tension

AIAA Journal ◽

10.2514/3.14385 ◽

2000 ◽

Vol 38 ◽

pp. 110-114

Author(s):

C. Soutis ◽

C. Filiou ◽

V. Pateau

Keyword(s):

Strength Prediction ◽

Fiber Reinforced ◽

Reinforced Plastics ◽

Fiber Reinforced Plastics

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Foam Concrete - A Better Replacement To The Traditional Heavy Concrete

i-manager’s Journal on Civil Engineering ◽

10.26634/jce.4.1.2730 ◽

2014 ◽

Vol 4 (1) ◽

pp. 1-5

Author(s):

Shreya Thuso ◽

◽

Ayush Rai ◽

P. R. Maiti ◽

◽

...

Keyword(s):

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Research in Influence of Bi-Modularity of Fiber Foam Concrete on Strength of Reinforced Beams

Stroitel nye Materialy ◽

10.31659/0585-430x-2017-748-5-52-55 ◽

2017 ◽

Vol 748 (5) ◽

pp. 52-55

Author(s):

E.E. KADOMTSEVA ◽

◽

L.V. MORGUN ◽

N.I. BESKOPYLNAYA ◽

V.N. MORGUN ◽

...

Keyword(s):

Foam Concrete ◽

Reinforced Beams

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3D Strength Prediction of Advanced Composites

10.21236/ada387837 ◽

2000 ◽

Author(s):

Gyaneshwar P. Tandon ◽

Alexander E. Bogdanovich

Keyword(s):

Strength Prediction ◽

Advanced Composites

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A Generalized Approach to Soil Strength Prediction With Machine Learning Methods

10.21236/ada464726 ◽

2006 ◽

Author(s):

Peter M. Semen

Keyword(s):

Machine Learning ◽

Soil Strength ◽

Strength Prediction ◽

Learning Methods ◽

Machine Learning Methods

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Bond strength prediction of FRP-bar reinforced concrete

Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '19 ◽

10.1145/3319619.3322066 ◽

2019 ◽

Author(s):

Hamed Bolandi ◽

Wolfgang Banzhaf ◽

Nizar Lajnef ◽

Kaveh Barri ◽

Amir. H Alavi

Keyword(s):

Reinforced Concrete ◽

Bond Strength ◽

Strength Prediction ◽

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A very fast ray-based field strength prediction tool for urban microcels operating in the UHF-band

IEE National Conference on Antennas and Propagation ◽

10.1049/cp:19990028 ◽

1999 ◽

Author(s):

J. Beyer

Keyword(s):

Field Strength ◽

Strength Prediction ◽

Prediction Tool ◽

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Artificial Neural Network (ANN)-Based Residual Strength Prediction of Carbon Fibre Reinforced Composites (CFRCs) After Impact

Applied Composite Materials ◽

10.1007/s10443-021-09891-1 ◽

2021 ◽

Author(s):

Bin Yang ◽

Kunkun Fu ◽

Juhyeong Lee ◽

Yan Li

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Carbon Fibre ◽

Residual Strength ◽

Strength Prediction ◽

Reinforced Composites ◽

Artificial Neural ◽

Artificial Neural Network Ann ◽

Fibre Reinforced Composites

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