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Free vibration analysis of stiffened and cracked laminated composite plate assemblies using shear-deformable dynamic stiffness elements
(Elsevier Ltd, 2017)
In the paper, the dynamic stiffness method based on the HSDT and FSDT plate theories is applied to study free vibration characteristics of composite stiffened and cracked plate assemblies. The dynamic stiffness matrices ...
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 ...
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 ...
Comparative environmental assessment of natural and recycled aggregate concrete
(Waste Management, 2010)
Constant and rapid increase in construction and demolition (C&D) waste generation and consumption of natural aggregate for concrete production became one of the biggest environmental problems in the construction industry. ...
Punching failure mechanism at edge columns of post-tensioned lift slabs
(Engineering Structures, 2008)
A test program designed to evaluate the punching shear strength of unbonded post-tensioned lift flat slabs at edge columns is described. Three isolated specimens, which represented a part of the edge panel in the vicinity ...
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 ...
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 ...