The effect of waste rubber particles and silica fume on the mechanical properties of Roller Compacted Concrete Pavement

2016 ◽  
Vol 129 ◽  
pp. 521-530 ◽  
Author(s):  
Mansour Fakhri ◽  
Farshad Saberi. K
Keyword(s):  
Mechanical Properties ◽  
Silica Fume ◽  
Concrete Pavement ◽  
Roller Compacted Concrete ◽  
Waste Rubber ◽  
Rubber Particles

Mechanical Properties of Rubberized Self Compacting Concrete Containing Silica Fume

2011 ◽  
Vol 261-263 ◽  
pp. 441-445 ◽  
Author(s):  
Yousef Rahmani ◽  
Mohammad Reza Sohrabi ◽  
Ahmad Askari
Keyword(s):  
Mechanical Properties ◽  
Silica Fume ◽  
Coarse Aggregate ◽  
Fresh Concrete ◽  
Critical Issue ◽  
Crumb Rubber ◽  
Self Compacting Concrete ◽  
Waste Rubber ◽  
Slump Flow ◽  
Flow Test

The disposal of waste rubber produced each year is a critical issue for any country, because this material doesn't resolve easily and leads to more environmental pollution. Utilizing waste rubber in industry is an alternative for the disposal of this matter. In the present study 5%, 10% and 15% of coarse aggregate is replaced with crumb rubber by volume along with 5%, 10% and 15% silica fume as cement replacement by weight in self compacting concrete. There were several rheological tests carried out on fresh concrete such as slump flow test, T50, J-ring, L-box and V-funnel test. Mechanical properties of specimens were also examined; compressive strength at 7 and 28 days of curing and modulus of elasticity and density of hardened cylindrical specimens at 28 days of curing.

Mechanical Properties of Surface Mortar with Waste Crumb Rubber

2014 ◽  
Vol 584-586 ◽  
pp. 917-920
Author(s):  
Gang Xue ◽  
Chun Feng Wu
Keyword(s):  
Mechanical Properties ◽  
Compressive Strength ◽  
Rubber Particle ◽  
Impact Resistance ◽  
Crumb Rubber ◽  
Application Performance ◽  
Waste Rubber ◽  
Aging Properties ◽  
Rubber Particles ◽  
Waste Crumb Rubber

Applying modified waste rubber particle to surface mortar can give full play of the unique characteristics to utilize the waste and decrease environmental pollution. In order to study the application performance of crumb rubber mortar, five different mortar proportions are selected to determine the compressive strength, flexural strength, impact strength and thermal aging strength. The results show that rubber particles mortar possess excellent toughness, impact resistance and heat aging properties.

scholarly journals Classification-Based Regression Models for Prediction of the Mechanical Properties of Roller-Compacted Concrete Pavement

2020 ◽  
Vol 10 (11) ◽  
pp. 3707 ◽  
Author(s):  
Ali Ashrafian ◽  
Mohammad Javad Taheri Amiri ◽  
Parisa Masoumi ◽  
Mahsa Asadi-shiadeh ◽  
Mojtaba Yaghoubi-chenari ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Regression Models ◽  
Mechanical Characteristics ◽  
Concrete Pavement ◽  
Supplementary Cementitious Materials ◽  
Fine Aggregate ◽  
Roller Compacted Concrete ◽  
Interaction Detection ◽  
Model Tree

In the field of pavement engineering, the determination of the mechanical characteristics is one of the essential processes for reliable material design and highway sustainability. Early determination of the mechanical characteristics of pavement is essential for road and highway construction and maintenance. Tensile strength (TS), compressive strength (CS), and flexural strength (FS) of roller-compacted concrete pavement (RCCP) are crucial characteristics. In this research, the classification-based regression models random forest (RF), M5rule model tree (M5rule), M5prime model tree (M5p), and chi-square automatic interaction detection (CHAID) are used for simulation of the mechanical characteristics of RCCP. A comprehensive and reliable dataset comprising 621, 326, and 290 data records for CS, TS, and FS experimental cases was extracted from several open sources in the literature. The mechanical properties are determined based on influential input combinations that are processed using principle component analysis (PCA). The PCA method specifies that volumetric/weighted content forms of experimental variables (e.g., coarse aggregate, fine aggregate, supplementary cementitious materials, water, and binder) and specimens’ age are the most effective inputs to generate better performance. Several statistical metrics were used to evaluate the proposed classification-based regression models. The RF model revealed an optimistic classification capacity of the CS, TS, and FS prediction of the RCCP in comparison with the CHAID, M5rule, and M5p models. Monte-Carlo simulation was used to verify the results in terms of the uncertainty and sensitivity of variables. Overall, the proposed methodology formed a reliable soft computing model that can be implemented for material engineering, construction, and design.

Sign in / Sign up

Export Citation Format

Share Document