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eBook Chapter

An Investigative Study on the Effects of Nano-SiO2 on Compressive Strength and Permeability of Concrete

Series: ASME Press Select Proceedings
Publisher: ASME Press
Published: 2012
https://doi.org/10.1115/1.860045_ch52
ISBN: 9780791860045
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Topics: Compressive strength, Concretes, Permeability, Silicon dioxide
eBook Chapter

Evaluation on Compressive Strength of Concrete with Waste Paper Sludge Ash Aggregate (WPSAA)

Series: ASME Press Select Proceedings
Publisher: ASME Press
Published: 2012
https://doi.org/10.1115/1.860137_ch11
ISBN: 9780791860137
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Topics: Compressive strength, Concretes
eBook Chapter

Experimental Study and Numerical Simulation on the Compressive Strength Size Effect of Jointed Rock Mass

Series: ASME Press Select Proceedings
Publisher: ASME Press
Published: 2010
https://doi.org/10.1115/1.859544.paper56
ISBN: 9780791859544
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Topics: Compressive strength, Computer simulation, Rocks, Size effect
eBook Chapter

Theoretical Analysis and Application of Pile Shaft Resistance Strengthening Effect

Series: ASME Press Select Proceedings
Publisher: ASME Press
Published: 2010
https://doi.org/10.1115/1.859582.paper94
ISBN: 9780791859582
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Topics: Theoretical analysis, Rocks, Compressive strength, Elastic moduli, Stress, Structural mechanics, Construction, Design, Internal friction, Load bearing capacity
eBook Chapter

A New Model for Rockburst Prediction Based on Gaussian Process

Series: ASME Press Select Proceedings
Publisher: ASME Press
Published: 2009
https://doi.org/10.1115/1.802922.paper163
ISBN: 9780791802922
Open the PDF for A New Model for Rockburst Prediction Based on Gaussian Process in another window
Topics: China, Compressive strength, Disasters, Machine learning, Machinery, Rocks, Shear stress, Tensile strength
eBook Chapter

Estimating Resilient Modulus Using Neural Network Models

Series: ASME Press Select Proceedings
Publisher: ASME Press
Published: 2007
https://doi.org/10.1115/1.802655.paper19
ISBN-10: 0791802655
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Topics: Artificial neural networks, Compressive strength, Density, Design, Materials properties, Modeling, Multilayer perceptron, Neural network models, Pavement, Plasticity