Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm

2017 ◽  
Vol 142 ◽  
pp. 199-207 ◽  
Author(s):  
Ali Behnood ◽  
Venous Behnood ◽  
Mahsa Modiri Gharehveran ◽  
Kursat Esat Alyamac
Keyword(s):  
Compressive Strength ◽  
High Performance ◽  
Tree Algorithm ◽  
Model Tree ◽  
M5p Model Tree

scholarly journals Application of soft computing methodologies to predict the 28-day compressive strength of shotcrete: a comparative study of individual and hybrid models

2021 ◽  
Vol 36 (5) ◽  
pp. 33-48
Author(s):  
Mahtab Torkan ◽  
Hamid Kalhori ◽  
Mohammad Hossein Jalalian
Keyword(s):  
Compressive Strength ◽  
Soft Computing ◽  
Clustering Algorithm ◽  
Accurate Method ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Construction Technique ◽  
Computing Methodologies ◽  
Model Tree ◽  
M5p Model Tree

Shotcreting is a popular construction technique with wide-ranging applications in mining and civil engineering. Compressive strength is a primary mechanical property of shotcrete with particular importance for project safety, which highly depends on its mix design. But in practice, there is no reliable and accurate method to predict this strength. In this study, existing experimental data related to shotcretes with 59 different mix designs are used to develop a series of soft computing methodologies, including individual artificial neural network, support vector regression, and M5P model tree and their hybrids with the fuzzy c-means clustering algorithm so as to predict the 28-day compressive strength of shotcrete. Analysis of the results shows the superiority of the hybrid model over the individual models in predicting the compressive strength of shotcrete. Overall, data clustering prior to use of machine learning techniques leads to certain improvement in their performance and reliability and generalizability of their results. In particular, the M5P model tree exhibits excellent capability in anticipating the compressive strength of shotcrete.

MOLDSTAR 90

Alloy Digest ◽  
2005 ◽  
Vol 54 (3) ◽  
Keyword(s):  
Compressive Strength ◽  
Injection Molding ◽  
Physical Properties ◽  
Surface Treatment ◽  
Tensile Properties ◽  
Copper Alloy ◽  
High Performance ◽  
Blow Molding

Abstract MoldStar 90 is a high-performance beryllium-free copper alloy for the blow-molding and injection-molding industries. This datasheet provides information on composition, physical properties, hardness, tensile properties, and compressive strength. It also includes information on machining, joining, and surface treatment. Filing Code: CU-732. Producer or source: Performance Alloys.

MOLDSTAR 150

Alloy Digest ◽  
2005 ◽  
Vol 54 (2) ◽  
Keyword(s):  
Compressive Strength ◽  
Injection Molding ◽  
Physical Properties ◽  
Surface Treatment ◽  
Tensile Properties ◽  
Copper Alloy ◽  
High Performance ◽  
Blow Molding

Abstract MoldStar 150 (formerly PAS 940) is a high performance copper alloy for the blow-molding and injection-molding industries. This datasheet provides information on composition, physical properties, tensile properties, and compressive strength. It also includes information on forming, machining, joining, and surface treatment. Filing Code: CU-729. Producer or source: Performance Alloys.

scholarly journals A Comparative Analysis of Techniques Used to Estimate the Mean Recoil Compressive Strength of High Performance Polymers

2004 ◽  
Vol 16 (3) ◽  
pp. 381-390 ◽  
Author(s):  
Meghan Spence ◽  
James A. Newell ◽  
Michael Lynch ◽  
T. J. Lee ◽  
Jenn Demetrio ◽  
...  
Keyword(s):  
Compressive Strength ◽  
Comparative Analysis ◽  
High Performance ◽  
High Performance Polymers ◽  
The Mean

scholarly journals The Impact of Traffic-Induced Bridge Vibration on Rapid Repairing High-Performance Concrete for Bridge Deck Pavement Repairs

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Wei Wang ◽  
Shuo Liu ◽  
Qizhi Wang ◽  
Wei Yuan ◽  
Mingzhang Chen ◽  
...  
Keyword(s):  
Compressive Strength ◽  
High Performance ◽  
Bridge Deck ◽  
High Performance Concrete ◽  
Reduction Rate ◽  
Harmonic Vibration ◽  
Hydration Reaction ◽  
Self Healing ◽  
The Impact ◽  
Bridge Deck Pavement

Based on forced vibration tests for high-performance concrete (HPC), the influence of bridge vibration induced by traveling vehicle on compressive strength and durability of HPC has been studied. It is concluded that 1 d and 2 d compressive strength of HPC decreased significantly, and the maximum reduction rate is 9.1%, while 28 d compressive strength of HPC had a slight lower with a 3% maximal drop under the action of two simple harmonic vibrations with 2 Hz, 3 mm amplitude, and 4 Hz, 3 mm amplitude. Moreover, the vibration had a slight effect on the compressive strength of HPC when the simple harmonic vibration had 4 Hz and 1 mm amplitude; it is indicated that the amplitude exerts a more prominent influence on the earlier compressive strength with the comparison of the frequency. In addition, the impact of simple harmonic vibration on durability of HPC can be ignored; this shows the self-healing function of concrete resulting from later hydration reaction. Thus, the research achievements mentioned above can contribute to learning the laws by which bridge vibration affects the properties of concrete and provide technical support for the design and construction of the bridge deck pavement maintenance.

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