scholarly journals Optimization Design of Mix Proportion of Large Stone Permeable Mixture Based on Target Air Voids

Buildings ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 514
Author(s):  
Zhi Suo ◽  
Xu Bao ◽  
Lei Nie ◽  
Qiang Yan ◽  
Kailin Qi

Through theoretical analysis, this paper preliminarily puts forward the optimization design method of a mix proportion large stone permeable mixture based on target voidage. The optimized large stone permeable mixture is abbreviated as OLSPM (optimization large stone permeable mixture). On this basis, the asphalt content was verified by leakage analysis experiment, and the molding method was determined by comparing the volume parameter changes and the appearance of the specimen in the molding process of both a Marshall compaction test and rotary compaction test. The final experimental analysis results show that the asphalt content calculated by this method can meet the technical requirements of leakage loss. The rotary compaction method is the suitable molding method for indoor cylindrical specimens of OLSPM, and the voidage is used as the index to control the compac-tion times of OLSPM. Under the same voidage, OLSPM-25 has more fine aggregates and thus leads to a relatively large amount of asphalt. In addition, the content of 4.75–19 mm coarse aggregate in its coarse aggregate is also higher than that of LSPM-25.

2011 ◽  
Vol 143-144 ◽  
pp. 494-498
Author(s):  
Ke Ming Zi ◽  
Li Heng Chen

With finite element analysis software Moldflow, numerical simulation and studies about FM truck roof handle were conducted on gas-assisted injection molding process. The influences of melt pre-injection shot, gas pressure, delay time and melt temperature were observed by using multi-factor orthogonal experimental method. According to the analysis of the factors' impact on evaluation index, the optimized parameter combination is obtained. Therefore the optimization design of technological parameters is done. The results show that during the gas-assisted injection molding, optimum pre-injection shot is 94%,gas pressure is 15MPa,delay time is 0.5s,melt temperature is 240 oC. This study provided a more practical approach for the gas-assisted injection molding process optimization.


2021 ◽  
Vol 3 (2) ◽  
pp. 247-255
Author(s):  
Dede Novit Senolinggi ◽  
Alpius ◽  
Charles Kamba

This study is to get character each of Laston base mixture using the Mount Pura Lau stone, Tikala District. The methodology in this study is to test each character of the sample to be tested for its, whether it is coarse aggregate, fine aggregate, filler, and asphalt. After testing each character, we will design the composition of the mixture for the manufacture of rough Laston Base (AC-BASE) specimens and obtain several variants of asphalt content, namely 4.5%, 5%, 5.55%, 6%, and 6.5%. After getting the composition, the test object will be made immediately. After the object has been made, it is time to test with Marshall test tool to obtain the residual Marshall Immersion / Stability Index (SMS) or the durability of the mixture using the optimum bitumen content. The results of the optimum asphalt content were 5.5%, MQ 906.88 Kg / mm and immersion index (IP) 96.06% which showed that met the requirements, namely 90% and meets the specifications of Bina Marga. So that it can be used as a recommendation to the regional government and local residents.


2013 ◽  
Vol 803 ◽  
pp. 375-378 ◽  
Author(s):  
Qing Qing Lv ◽  
Qi Ming Guan ◽  
Li Quan Yang ◽  
Xi Kui Wang

Aiming at the problems of high performance piston head can not produced by using casting and hot die forging, the warm extrusion molding method is proposed, based on the analysis of factors influencing for forming, rational scheme of orthogonal experiment was designed, a series of analysis for simulation results by using the range analysis method and comprehensive balance method, the optimal forming process parameters combination are identified, the optimal result are verified by the DEFORM software.


2018 ◽  
Vol 203 ◽  
pp. 06001
Author(s):  
Muhammad Bilal Waris ◽  
Hussain Najwani ◽  
Khalifa Al-Jabri ◽  
Abdullah Al-Saidy

To manage tyre waste and conserve natural aggregate resource, this research investigates the use of waste tyre rubber as partial replacement of fine aggregates in non-structural concrete. The research used Taguchi method to study the influence of mix proportion, water-to-cement ratio and tyre rubber replacement percentage on concrete. Nine mixes were prepared with mix proportion of 1:2:4, 1:5:4 and 1:2.5:3; water-to-cement ratio of 0.25, 0.35 and 0.40 and rubber to fine aggregate replacement of 20%, 30% and 40%. Compressive strength and water absorption tests were carried out on 100 mm cubes. Compressive strength was directly proportional to the amount of coarse aggregate in the mix. Water-to-cement ratio increased the strength within the range used in the study. Strength was found to be more sensitive to the overall rubber content than the replacement ratio. Seven out of the nine mixes satisfied the minimum strength requirement for concrete blocks set by ASTM. Water absorption and density for all mixes satisfied the limits applicable for concrete blocks. The study indicates that mix proportions with fine to coarse aggregate ratio of less than 1.0 and w/c ratio around 0.40 can be used with tyre rubber replacements of up to 30 % to satisfy requirements for non-structural concrete.


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Ludfi Djakfar ◽  
Hendi Bowoputro ◽  
Bangun Prawiro ◽  
Nugraha Tarigan

The objective of the study is to evaluate the performance of porous asphalt using waste recycled concrete material and explore the effect of adding Gilsonite to the mixture. As many as 90 Marshall specimens were prepared with varied asphalt content, percentage of Gilsonite as an additive, and proportioned recycled and virgin coarse aggregate. The test includes permeability capability and Marshall characteristics. The results showed that recycled concrete materials seem to have a potential use as aggregate in the hot mix asphalt, particularly on porous hot mix asphalt. Adding Gilsonite at ranges 8–10% improves the Marshall characteristic of the mix, particularly its stability, without decreasing significantly the permeability capability of the mix. The use of recycled materials tends to increase the asphalt content of the mix at about 1 to 2% higher. With stability reaching 750 kg, the hot mix recycled porous asphalt may be suitable for use in the local roads with medium vehicle load.


2014 ◽  
Vol 556-562 ◽  
pp. 692-695
Author(s):  
Zhang Bo

Along with the high-speed development of social economy in our country, the country invests more in infrastructure construction. The ratio of concrete in coarse aggregate has great impact on engineering quality. If there are any proportion problems, a certain degree of engineering accidents and sometimes even devastating accidents can be caused. This article studies the correlation between concrete proportioning and cement dosage in coarse aggregate through practices, discovers the importance of reasonable selection of coarse aggregate in economic cement mixing ratio configuration process, and realizes the implementation of project cost reduction in project design.


2011 ◽  
Vol 250-253 ◽  
pp. 2672-2677 ◽  
Author(s):  
Xian Song Xie ◽  
Dong Jin Yan ◽  
Yue Zhai Zheng

Genetic algorithm is a non-numerical optimization method which based on natural selection and population genetics.Using genetic algorithm to optimize the mix proportion design of high performance concrete, it takes into account the economic profitability on the foundation of satisfying the requirements of durability, strength, workability and dimensional stability of concrete, it establishes a mathematic model applying the performance of material as constraint condition, and the economic cost as optimization target.Using binary coding to represent the chromosome bit serial of individual, through selection, crossover, mutation and other genetic operator to conduct global probability search, taking the principle of “survival of the fittest”, finally achieve the best population and individual. Compare the results of optimization with the mix proportion in practice engineering case, we can reach the conclusion that Genetic Algorithm could reduce the cost, save energy, provides better use value on engineering practice.


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