GEP prediction of the cracking zones in earthfill dams

Oulapour, Masoud; Adib, Arash; Gholamzadeh, Sepideh

doi:10.1007/s12517-021-06933-7

Cited by 4 publications

(3 citation statements)

References 34 publications

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“…Because of the simplicity, comprehensibility, and high efficiency of GEP, it has been widely utilized in data prediction. Oulapour et al [9] used GEP to find the best equation for the relationship between the width and depth of the possible crack area and the geometric parameters of the valley cross section. Khan et al [10] used GEP to predict the compressive strength of geopolymer concrete.…”

Section: Introductionmentioning

confidence: 99%

A New Dual-Mode GEP Prediction Algorithm Based on Irregularity and Similar Period

Yang

et al. 2021

Discrete Dynamics in Nature and Society

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Gene expression programming (GEP) uses simple linear coding to solve complex modeling problems. However, the performance is limited by the effectiveness of the selected method of evaluating population individuals, the breadth and depth of the search domain for the solution, and the ability of accuracy of correcting the solution based on historical data. Therefore, a new dual-mode GEP prediction algorithm based on irregularity and similar period is proposed. It takes measures to specialize origin data to reserve the elite individuals, reevaluate the target individuals, and process data and solutions via the similar period mode, which avoids the tendency to get stuck in local optimum and the complexity of the precisions of correcting complex modeling problems due to insufficiency scope of the search domain, and subsequently, better convergence results are obtained. If we take the leek price and the sunspot observation data as the sample to compare the new algorithm with the GEP simulation test, the results indicate that the new algorithm possesses more powerful exploration ability and higher precision. Under the same accuracy requirements, the new algorithm can find the individual faster. Additionally, the conclusion can be drawn that the performance of new algorithm is better on the condition that we take another set of sunspot observations as samples, combining the ARIMA algorithm and BP neural network prediction algorithm for simulation and comparison with the new algorithm.

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Section: Introductionmentioning

confidence: 99%

A New Dual-Mode GEP Prediction Algorithm Based on Irregularity and Similar Period

Yang

et al. 2021

Discrete Dynamics in Nature and Society

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“…Johari [54] applied the GEP technique to investigate the collapsible soils treatment using nano-silica in the Sivand Dam region, Iran. Oulapour [55] generated a GEP model for predicting the cracking zones in earthfill dams. Furthermore, the GEP model was used to solve many geotechnical engineering problems with high accuracy [26,[56][57][58][59][60][61][62][63].…”

Section: Gene-expression Programmingmentioning

confidence: 99%

Effects of binder types and other significant variables on the unconfined compressive strength of chemical-stabilized clayey soil using gene-expression programming

Pham

Ong

2022

Neural Comput & Applic

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Soil stabilization is an in situ soil treatment in which soils are mixed with cementitious or other chemical stabilizing agents. Determining the unconfined compressive strength (UCS) of stabilized soil is a principal task in the design and construction of the ground improvement. Hence, this study aims to develop a reliable predictive model for the UCS of clay stabilization with common cementitious binders using the gene-expression programming (GEP) technique. Eleven parameters, including the soil characteristics, the binder types, the binder contents, the mixing method, and the curing period, were considered as the independent variables in the model. The research results show that the selected optimal GEP-based model performs well with an acceptable correlation coefficient (R = 0.951) and low errors (e.g., RMSE and MAE). Besides, parametric analyses indicate that the plastic index, the percentage of clay, and the total water content have a negative effect on the UCS of stabilized soil. In contrast, the percentage of silt and sand, the binder types, the binder contents, and the curing time show a positive effect on the strength of stabilized soil. In addition, the strength of stabilized clay could be significantly enhanced by combining cement with slag, lime, or fly ash with a reasonable ratio, or by reducing the natural water content in the soil. The research findings could help engineers choose suitable binder types and cost-effective methods to optimize the UCS of stabilized clay.

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“…As the fundamental piece of the anti-drainage framework, the core wall is the main topic in the embankment dam design. The dam incline security is a central point for the sort of core in the embankment dam [2]. The core of the rock-fill dam is an impermeable barrier, which is the main part of the anti-seepage system in the design of a high embankment dam to ensure stability [3].…”

Section: Introductionmentioning

confidence: 99%

Utilization of Fine Soil as Potential Source for Core of Rock-Fill Dam

Alsaidi

Alshezawi

2022

KEM

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This study investigates the use of wadi sediments as a potential source for the core of rock-fill dams. The current practice utilizes clay and silty materials for the core of the rock-fill dam. In Oman, clay is not abundantly available, so there is a need to propose a local alternative material as a potential source for the core of the rock-fill dam. Dredged sediment is believed to have properties like clay but is a waste material deposited in reservoirs. The samples of wadi sediments were grouped from the reservoir of Wadi Jizzi Dam, located a few kilometers away from the city of Sohar. A detailed laboratory-testing program investigates the physical characteristics, grain size distribution, liquid and plastic limits, specific gravity, compaction, hydraulic conductivity (permeability), swelling potential, and unconfined compressive strength. All the tests were performed following the British Standard. The pure dredged sediment has a hydraulic conductivity of 7.11x10-6 cm/s, which is comparable to the requirements of the core of the dam. To improve the other properties of the dredged sediment, it is mixed in different proportions with dune sand collected from the Al-Sharqia Desert of Oman. The test results suggest that a mixture ratio of 50% of sediment to the dune sand gives optimal strength, durability, and permeability. On the other hand, for the comparison purposes, bentonite was mixed with sand by various percentage. The microscopic investigation and X-ray diffraction (XRD) analysis tests on dredged sediments suggest that the material can be utilized without causing any environmental concerns. The outcomes of this study is expected to assist the practitioners in achieving cost-effectiveness and sustainability in the design.

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GEP prediction of the cracking zones in earthfill dams

Cited by 4 publications

References 34 publications

A New Dual-Mode GEP Prediction Algorithm Based on Irregularity and Similar Period

A New Dual-Mode GEP Prediction Algorithm Based on Irregularity and Similar Period

Effects of binder types and other significant variables on the unconfined compressive strength of chemical-stabilized clayey soil using gene-expression programming

Utilization of Fine Soil as Potential Source for Core of Rock-Fill Dam

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