Performance of ANN and M5P-tree to forecast the compressive strength of hand-mix cement-grouted sands modified with polymer using ASTM and BS standards and evaluate the outcomes using SI with OBJ assessments
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Performance of ANN and M5P-tree to forecast the compressive strength of hand-mix cement-grouted sands modified with polymer using ASTM and BS standards and evaluate the outcomes using SI with OBJ assessments
Authors
Keywords
-
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-05-17
DOI
10.1007/s00521-022-07349-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improving the performance of LSSVM model in predicting the safety factor for circular failure slope through optimization algorithms
- (2021) Fan Zeng et al. ENGINEERING WITH COMPUTERS
- Systematic multiscale models to predict the compressive strength of self-compacting concretes modified with nanosilica at different curing ages
- (2021) Rabar H. Faraj et al. ENGINEERING WITH COMPUTERS
- Stress-stain behavior, elastic modulus, and toughness of the soilcrete modified with powder polymers
- (2021) Wael Emad et al. CONSTRUCTION AND BUILDING MATERIALS
- Modeling and Statistical Evaluations of Unconfined Compressive Strength and Compression Index of the Clay Soils at Various Ranges of Liquid Limit
- (2021) Yousif Mawlood et al. JOURNAL OF TESTING AND EVALUATION
- Characterization and modeling the flow behavior and compression strength of the cement paste modified with silica nano-size at different temperature conditions
- (2020) Ahmed Mohammed et al. CONSTRUCTION AND BUILDING MATERIALS
- Artificial neural network (ANN), M5P-tree, and regression analyses to predict the early age compression strength of concrete modified with DBC-21 and VK-98 polymers
- (2020) Ahmed Mohammed et al. NEURAL COMPUTING & APPLICATIONS
- Soft computing techniques: Systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times
- (2020) Ahmed Mohammed et al. Journal of Building Engineering
- Artificial Neural Network and NLR techniques to predict the rheological properties and compression strength of cement past modified with nanoclay
- (2020) Ahmed Mohammed et al. Ain Shams Engineering Journal
- New Vipulanandan p-q Model for Particle Size Distribution and Groutability Limits for Sandy Soils
- (2019) Wael Mahmood et al. JOURNAL OF TESTING AND EVALUATION
- Characterizing and Modeling the Mechanical Properties of the Cement Mortar Modified with Fly Ash for Various Water-to-Cement Ratios and Curing Times
- (2019) Warzer Qadir et al. Advances in Civil Engineering
- Effect of Particle Size Distribution of Sand on Mechanical Properties of Cement Mortar Modified with Microsilica
- (2019) Kawan Ghafor et al. ACI MATERIALS JOURNAL
- TGA, rheological properties with maximum shear stress and compressive strength of cement-based grout modified with polycarboxylate polymers
- (2019) Ahmed Mohammed et al. CONSTRUCTION AND BUILDING MATERIALS
- Smart Cement Compressive Piezoresistive, Stress-Strain, and Strength Behavior with Nanosilica Modification
- (2018) C. Vipulanandan et al. JOURNAL OF TESTING AND EVALUATION
- Vipulanandan Constitutive Models to Predict the Rheological Properties and Stress–Strain Behavior of Cement Grouts Modified with Metakaolin
- (2018) A. Mohammed et al. JOURNAL OF TESTING AND EVALUATION
- Smart cement modified with iron oxide nanoparticles to enhance the piezoresistive behavior and compressive strength for oil well applications
- (2015) C Vipulanandan et al. Smart Materials and Structures
- Effect of different sand grading on strength properties of cement grout
- (2012) Siong Kang Lim et al. CONSTRUCTION AND BUILDING MATERIALS
- Influence of aggregates grading and water/cement ratio in workability and hardened properties of mortars
- (2011) Vladimir G. Haach et al. CONSTRUCTION AND BUILDING MATERIALS
- Influence of fine aggregate characteristics on the rheological properties of mortars
- (2007) Mikael Westerholm et al. CEMENT & CONCRETE COMPOSITES
- Influence of sand grading on the characteristics of mortars and soil–cement block masonry
- (2007) B.V. Venkatarama Reddy et al. CONSTRUCTION AND BUILDING MATERIALS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now