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Free vibration study of sandwich plates using a family of novel shear deformable dynamic stiffness elements: limitations and comparison with the finite element solutions
(Elsevier Ltd, 2016)
In this paper, the dynamic stiffness matrix of a completely free rectangular multi-layer plate element based on Reddy's higher-order shear deformation theory is derived. The reduction of the proposed model to the first-order ...
Shear behaviour of recycled aggregate concrete beams with and without shear reinforcement
(Elsevier Ltd, 2017)
An experimental study of the shear behaviour of recycled aggregate concrete (RAC) beams with and without shear reinforcement is presented. Nine full-scale simply supported beams were loaded in four-point bending tests until ...
Shear deformable dynamic stiffness elements for a free vibration analysis of composite plate assemblies - Part II: Numerical examples
(Elsevier Ltd, 2017)
The dynamic stiffness elements based on the HSDT and FSDT (and the corresponding dynamic stiffness matrices of a laminated composite plate) have been implemented into the original MATLAB code, and a variety of numerical ...
Landslide susceptibility assessment using SVM machine learning algorithm
(Engineering Geology, 2011)
This paper introduces the current machine learning approach to solving spatial modeling problems in the domain of landslide susceptibility assessment. The latter is introduced as a classification problem, having multiple ...
Flexural behavior of reinforced recycled aggregate concrete beams under short-term loading
(Materials and Structures, 2013)
Recycling of waste concrete is one of the sustainable solutions for the growing waste disposal crisis and depletion of natural aggregate sources. As a result, recycled concrete aggregate (RCA) is produced, and so far it ...
Flexural reinforcement of glulam beams with CFRP plates
(Kluwer Academic Publishers, 2016)
In recent years the use of fiber reinforced polymer composites for strengthening and repairing structural elements has significantly increased. This paper shows an experimental study carried out in order to demonstrate the ...
Rapid earthquake loss assessment based on machine learning and representative sampling
(Earthquake Spectra, 2021)
This paper proposes a new framework for rapid earthquake loss assessment based on a machine learning damage classification model and a representative sampling algorithm. A Random Forest classification model predicts a ...