Results 231 to 240 of about 335,451 (304)

Predicting strength of soilbags under cyclic compression

Geosynthetics International, 2020
Soilbags have a wide range of applications in geotechnical engineering. To explore the compressive strength and deformation behaviour of soilbags, a formula for predicting the strength of soilbags is derived considering the relationship between the tensile force of the bag and the vertical strain.
F. Jia, S.-H. Liu, C.-M. Shen, Y. Sun
openaire   +1 more source

Compressive Strength Prediction with Boundary-Defined Datasets

2021
Concrete is one of the leading sources of carbon emission to the atmosphere. Cement being the major part of that offset. Every concrete mix that doesn’t meet the strength requirements will be demolished creating further damage to the environment along with loss of time & money.
P. Hrishikesh, G. Unni Kartha
openaire   +1 more source

Prediction of the compressive strength of human lumbar vertebrae

Clinical Biomechanics, 1989
The axial compressive strength of 98 motion segments of human thoracolumbar spines was measured in vitro under conditions simulating the in vivo environment. In addition, the density of the trabecular bone in the midplane of the vertebrae was determined by quantitative computed tomography; the areas of the vertebral endplates were measured by computed ...
P, Brinckmann, M, Biggemann, D, Hilweg
openaire   +3 more sources

Compressive strength prediction models of lightweight aggregate concretes using ultrasonic pulse velocity

Construction and Building Materials, 2021
Replacement of natural coarse aggregate with lightweight aggregate (LWA) offers not only the specific properties of concrete such as thermal, acoustic properties, or lighter weight concrete but is also dealing with wasted materials recycling and natural ...
Yifan Zhang, F. Aslani
semanticscholar   +1 more source

Prediction of the Layer Longitudinal Compression Strength

Journal of Composite Materials, 2000
This paper presents a new approach to the prediction of the layer longitudinal compression strength of continuous fibre polymer matrix composites. It is known that failure is caused by fibre microbuckling and that the initial fibre waviness and the matrix non-linear behaviour play a major role.
openaire   +2 more sources

Strength Predictions of Plates in Uniaxial Compression

Journal of the Structural Division, 1972
The prediction of the ultimate load for rectangular plates is obtained from the intersection of an elastic postbuckling loading path and a rigid-plastic unloading path. The former expresses post-buckling stability and uniqueness, affected by membrane forces and imperfections at large transverse displacements; the latter, insensitive to imperfections ...
Robert M. Korol, Archibald N. Sherbourne
openaire   +1 more source

Artificial Intelligence Framework for Concrete Compressive Strength Prediction

Architecture Image Studies
This study develops and validates a robust Artificial Intelligence (AI) framework for predicting concrete compressive strength. A hybrid dataset of 1,274 samples was established by combining 244 locally tested specimens with 1,030 data points from a ...
Hung K. Nguyen, Tu T. Nguyen
semanticscholar   +1 more source

Compressive strength prediction of high-performance concrete using gradient tree boosting machine

Construction and Building Materials, 2020
In structural engineering, concrete compressive strength (CCS) is the most important performance parameter for designing the conventional concrete and high-performance concrete (HPC) structures.
Mosbeh R. Kaloop, Deepak Kumar, Pijush Samui, J. Hu, Dongwook Kim   +4 more
semanticscholar   +1 more source

Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method

, 2020
Geopolymer concrete (GPC) could be used as an environmental-friendly alternative solution for concrete production due to the detrimental impacts of cement production on the environment.
Amir Ali Shahmansouri, H. A. Bengar, S. Ghanbari   +2 more
semanticscholar   +1 more source

Neural prediction of concrete compressive strength

International Journal of Materials and Structural Integrity, 2018
In the past, a few researchers predicted the compressive strength of concrete from its ingredients by employing artificial neural network (ANN). Evaluation of the models with different performance metrics, such as correlation coefficient and errors of estimation, indicated that there was scope for improvement in the prediction performance of ANN.
openaire   +1 more source