Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariate adaptive regression spline

Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions

(2017) Khader M. Hamdia et al.   INTERNATIONAL JOURNAL OF FRACTURE

Hybrid nonlinear surrogate models for fracture behavior of polymeric nanocomposites

(2017) Mohammed F. Badawy et al.   PROBABILISTIC ENGINEERING MECHANICS

An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural network

(2017) P. Zakian   Frontiers of Structural and Civil Engineering

Predication of discharge coefficient of cylindrical weir-gate using adaptive neuro fuzzy inference systems (ANFIS)

(2017) Abbas Parsaie et al.   Frontiers of Structural and Civil Engineering

Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete

(2017) Faezehossadat Khademi et al.   Frontiers of Structural and Civil Engineering

A software framework for probabilistic sensitivity analysis for computationally expensive models

(2016) N. Vu-Bac et al.   ADVANCES IN ENGINEERING SOFTWARE

Efficient system reliability analysis of soil slopes using multivariate adaptive regression splines-based Monte Carlo simulation

(2016) Lei-Lei Liu et al.   COMPUTERS AND GEOTECHNICS

Prediction of zeolite-cement-sand unconfined compressive strength using polynomial neural network

(2016) H. MolaAbasi et al.   European Physical Journal Plus

Multivariate adaptive regression splines and neural network models for prediction of pile drivability

(2016) Wengang Zhang et al.   Geoscience Frontiers

Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters

(2015) N. Vu-Bac et al.   COMPOSITES PART B-ENGINEERING

A unified framework for stochastic predictions of mechanical properties of polymeric nanocomposites

(2015) N. Vu-Bac et al.   COMPUTATIONAL MATERIALS SCIENCE

Assessment of soil liquefaction based on capacity energy concept and multivariate adaptive regression splines

(2015) Wengang Zhang et al.   ENGINEERING GEOLOGY

Application of adaptive neuro-fuzzy technique to predict the unconfined compressive strength of PFA-sand-cement mixture

(2015) Shervin Motamedi et al.   POWDER TECHNOLOGY

Function finding via genetic expression programming for strength and elastic properties of clay treated with bottom ash

(2014) Hamza Güllü   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Stochastic predictions of interfacial characteristic of polymeric nanocomposites (PNCs)

(2013) N. Vu-Bac et al.   COMPOSITES PART B-ENGINEERING

Stochastic predictions of bulk properties of amorphous polyethylene based on molecular dynamics simulations

(2013) N. Vu-Bac et al.   MECHANICS OF MATERIALS

Comparison of numerical and analytical solutions for reinforced soil wall shaking table tests

(2013) Saman Zarnani et al.   Geomechanics and Engineering

Multivariate adaptive regression splines for analysis of geotechnical engineering systems

(2012) W.G. Zhang et al.   COMPUTERS AND GEOTECHNICS

Determination of ultimate capacity of driven piles in cohesionless soil: A Multivariate Adaptive Regression Spline approach

(2011) Pijush Samui   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Resilient Moduli Response of Moderately Cement-Treated Reclaimed Asphalt Pavement Aggregates

(2011) Anand J. Puppala et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Permanent deformation analysis of asphalt mixtures using soft computing techniques

(2010) Mohammad Reza Mirzahosseini et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multivariate adaptive regression (MARS) and hinged hyperplanes (HHP) for doweled pavement performance modeling

(2009) Nii O. Attoh-Okine et al.   CONSTRUCTION AND BUILDING MATERIALS

Full-Depth Reclamation with Engineered Emulsion in Fairburn, Georgia

(2009) Matthew Kroge et al.   TRANSPORTATION RESEARCH RECORD