Direct strength prediction of innovative corrugated columns

Tubular Structures XVI ◽

10.1201/9781351210843-59 ◽

2017 ◽

pp. 467-474

Author(s):

A.N. Ajamyan ◽

M. Nassirnia ◽

A. Heidarpour ◽

X.L. Zhao ◽

L. Gardner

Keyword(s):

Strength Prediction

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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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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 ◽

Cited By ~ 3

Author(s):

Hamed Bolandi ◽

Wolfgang Banzhaf ◽

Nizar Lajnef ◽

Kaveh Barri ◽

Amir. H Alavi

Keyword(s):

Reinforced Concrete ◽

Bond Strength ◽

Strength Prediction ◽

Frp Bar

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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 ◽

Cited By ~ 1

Author(s):

J. Beyer

Keyword(s):

Field Strength ◽

Strength Prediction ◽

Prediction Tool ◽

Uhf Band

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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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Strength Prediction of Composite Single Lap Joints Using the Critical Longitudinal Strain Criterion and a Meshless Method

International Journal of Adhesion and Adhesives ◽

10.1016/j.ijadhadh.2021.102884 ◽

2021 ◽

pp. 102884

Author(s):

Luís D.C. Ramalho ◽

Isidro J. Sánchez-Arce ◽

Raul D.S.G. Campilho ◽

Jorge Belinha

Keyword(s):

Meshless Method ◽

Longitudinal Strain ◽

Lap Joints ◽

Strength Prediction ◽

Strain Criterion ◽

Single Lap Joints

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Research on Improved BP Neural Network Gangue Powder Concrete Compressive Strength Prediction Model

2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) ◽

10.1109/itaic49862.2020.9339112 ◽

2020 ◽

Author(s):

Shengxiang Ma ◽

Xunxian Shi ◽

Chenglong Yu ◽

Wenjing Wang ◽

Yujie Ren ◽

...

Keyword(s):

Neural Network ◽

Compressive Strength ◽

Prediction Model ◽

Bp Neural Network ◽

Strength Prediction ◽

Concrete Compressive Strength

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Failure mode and strength prediction of laterally braced Litzka-type castellated beams

Journal of Constructional Steel Research ◽

10.1016/j.jcsr.2021.106796 ◽

2021 ◽

Vol 184 ◽

pp. 106796

Author(s):

João J.V. Braga ◽

Daniel A. Linhares ◽

Daniel C.T. Cardoso ◽

Elisa D. Sotelino

Keyword(s):

Failure Mode ◽

Strength Prediction

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