Feasibility Study of Collapse Remediation of Illinois Loess Using Electrokinetics Technique by Nanosilica and Salt

Kargar, Pourya; Osouli, Abdolreza; Vaughn, Brent; Hosseini, Arash; Rostami, Hamid

doi:10.1061/9780784482780.066

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…Several studies in the past performed on investigation of the influence of PPA on the properties of binder and mixture. [16][17][18][19][20][21][22][23][24] The outcomes revealed that the utilization of PPA reduced the penetration grade and increased the softening point, viscosity, resilient modulus and also improved the high and low-temperature behavior of the binder. 16,18,19,22,25,26 In a research performed by King et al and Bishara et al, 19,25 the utilization of amine-based ASA in a mixture including PPA-modified bitumen, reduced the moisture susceptibility resistance and also stiffness of mixture based on acid-base interaction.…”

Section: Introductionmentioning

confidence: 99%

Effects of anti-striping agents on performance of binder and stone matrix asphalt (SMA) mixtures containing polyphosphoric acid/styrene-butadiene rubber composite polymer blends and warm mixture additives

Ameli

Naeini

Babagoli

et al. 2020

Journal of Thermoplastic Composite Materials

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This work evaluated the effect of Anti-Stripping Agents (ASAs) on performance behavior of bitumen and high and intermediate temperature performance of SMA mixtures modified by Poly Phosphoric Acid (PPA), Warm Mix Asphalt (WMA) and Styrene-Butadiene Rubber (SBR) additive. Through this paper, the AC-60/70 and AC-85/100 penetration grade bitumens were used as base bitumen. Moreover, three liquid ASAs (ASA (1), ASA (2), ASA (3)), PPA (1% by weight of bitumen), SBR (2% by weight of binder), and two types of warm mix additives (3% Sasobit and 0.3% Zycotherm) were used as a mixture modifier. For evaluating the performance behavior of bitumen, the rotational viscosity, Dynamic Shear Rheometer, and Bending Beam Rheometer, Multiple Stress Creep Recovery (MSCR), and linear Amplitude Sweep (LAS) tests were implemented. Moreover, Resilient Modulus (Mr), Indirect Tensile Strength (ITS), dynamic creep, wheel track, and Four-Point Beam Fatigue (FPB) tests were performed to investigate the performance of mixture samples. Based on the outcomes of the MSCR test, the utilization of SBR/PPA additive and ASAs decreased the Jnr value. Among modified binders, the binders modified by ASA (2) have the lowest Jnr value followed by binders modified by ASA (1) and ASA (3). According to the outcomes of LAS test, the utilization of ASAs leads to increase in the fatigue life of the original binder. According to the outcomes, the utilization of WMA additives and ASAs caused the Mr, ITS, rutting resistance, and fatigue life to increase. Among ASAs, the ASA (2) has the greatest influence on enhancing the performance of mixtures. Based on results, Sasobit additive has a better effect than Zycotherm on enhancing the properties of samples.

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Section: Introductionmentioning

confidence: 99%

Effects of anti-striping agents on performance of binder and stone matrix asphalt (SMA) mixtures containing polyphosphoric acid/styrene-butadiene rubber composite polymer blends and warm mixture additives

Ameli

Naeini

Babagoli

et al. 2020

Journal of Thermoplastic Composite Materials

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“…By combining metaheuristic algorithm, scholars have achieved powerful predictors for the simulation of soil parameters [26][27][28][29][30][31][32][33][34][35]. Moayedi et al [9] suggested four wise metaheuristic optimizers including elephant herding optimization (EHO), shuffled frog leaping algorithm (SFLA), wind-driven optimization (WDO), and salp swarm algorithm (SSA) for optimizing the performance of ANN to predict the SSS.…”

Section: Introductionmentioning

confidence: 99%

Computational modification of neural systems using a novel stochastic search scheme, namely evaporation rate-based water cycle algorithm: an application in geotechnical issues

Foong

Moayedi

Lyu

2020

Engineering with Computers

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Recent studies have demonstrated the high efficiency of metaheuristic algorithms for various optimization engineering problems. The main focus of the present study is to apply a novel notion of stochastic search methods, namely evaporation rate-based water cycle algorithm (ER-WCA) to the problem of soil shear strength (SSS) prediction. The ER-WCA, as the name indicates, is a modified version of the water cycle algorithm that is used to computationally modify an artificial neural network (ANN) for the mentioned purpose. The sensitivity analysis showed that the most proper values for the number of rivers + sea and the population size are 5 and 300, respectively. The performance of the ER-WCA-ANN hybrid is compared to an ANN typically trained by the Levenberg-Marquardt algorithm to evaluate the effectiveness of the proposed metaheuristic technique. The findings showed that incorporation of the ER-WCA results in reducing the root-mean-square error by 5.87% and 4.92% in the training and testing phases, respectively. Meanwhile, the coefficient of determination rose from 84.27 to 86.11% and from 78.80 to 80.83% in these phases. It indicates that the weights and biases suggested by the ER-WCA can construct a considerably more reliable ANN. Therefore, the introduced method is recommended for practical uses in the early prediction of the SSS in civil engineering projects.

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Experimental Investigation of Collapsible Soils Treatment Using Nano-silica in the Sivand Dam Region, Iran

Johari

Golkarfard

Davoudi

et al. 2021

Iran J Sci Technol Trans Civ Eng

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Feasibility Study of Collapse Remediation of Illinois Loess Using Electrokinetics Technique by Nanosilica and Salt

Cited by 5 publications

References 14 publications

Effects of anti-striping agents on performance of binder and stone matrix asphalt (SMA) mixtures containing polyphosphoric acid/styrene-butadiene rubber composite polymer blends and warm mixture additives

Effects of anti-striping agents on performance of binder and stone matrix asphalt (SMA) mixtures containing polyphosphoric acid/styrene-butadiene rubber composite polymer blends and warm mixture additives

Computational modification of neural systems using a novel stochastic search scheme, namely evaporation rate-based water cycle algorithm: an application in geotechnical issues

Experimental Investigation of Collapsible Soils Treatment Using Nano-silica in the Sivand Dam Region, Iran

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