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Optimizing asphalt mix design process using artificial ...

Apr 20, 2018  The developed mix design aid tool is compiled into a computer software called Asphalt Mix Optimization (AMO) that can be used by road agencies as a mix design tool. A case study is presented to demonstrate the ability of the model to optimize aggregate gradation and minimize binder content in asphalt mix.

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Optimizing asphalt mix design process using artificial ...

Request PDF Optimizing asphalt mix design process using artificial neural network and genetic algorithm Selection of aggregate gradation and binder content for asphalt mix design, which comply ...

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A model based on artificial neural networks and genetic ...

Optimizing asphalt mix design process using artificial neural network and genetic algorithm ... this research study developed a user-friendly optimization algorithm, using a dynamic programming ...

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Artificial Neural Network Modelling for Asphalt Concrete ...

Optimizing asphalt mix design process using artificial neural network and genetic algorithm. Construction and Building Materials, 168, 660–670. Selman, G. Ş. 2015.

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‪James Maina‬ - ‪Google Scholar‬

Optimizing asphalt mix design process using artificial neural network and genetic algorithm H Sebaaly, S Varma, JW Maina Construction and Building Materials 168, 660-670 , 2018

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‪Sudhir Varma‬ - ‪Google Scholar‬

Optimizing asphalt mix design process using artificial neural network and genetic algorithm H Sebaaly, S Varma, J Maina Construction and Building Materials 168, 660–670 , 2018

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Indian Institute of Technology, Patna

Sebaaly, H., Varma, S. and Maina, J. (2018), Optimizing asphalt mix gradation using artificial neural network and genetic algorithm. Transportation Research Board ...

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Application of Artificial Neural Networks as Design Tool ...

  Oct 14, 2021  Optimizing asphalt mix design process using artificial neural network and genetic algorithm. Construction and Building Materials, 168

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A hybrid model for predicting the axial compression ...

Jul 12, 2020    However, most of these algorithms started the optimization process by the random generation of a solution set for the decision variables within the allowable range. Following that, a new solution set is generated randomly by a specific operator set. ... Optimizing asphalt mix design process using artificial neural network and genetic algorithm ...

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Dr. Sudhir Varma - IIT P

Characterization of pavement materials, constitutive modeling of pavements, asphalt mix design, non-destructive testing on pavements and durability and performance of asphalt mixes. Courses taught at IITP: CE525: Highway Geometric Design; CE491: Design Studio; CE111: Engineering Drawing (Practical) Other Interests : Professional Experience:

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Optimizing asphalt mix design process using artificial ...

Optimizing asphalt mix design process using artificial neural network and genetic algorithm 6 still the most prevalent asphalt mix design method. Therefore, in this study Marshall mix design data for mixes intended to be used for pavement construction projects were collected and used in developing the model.

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Optimizing asphalt mix design process using artificial ...

DOI: 10.1016/J.CONBUILDMAT.2018.02.118 Corpus ID: 46990676. Optimizing asphalt mix design process using artificial neural network and genetic algorithm @article{Sebaaly2018OptimizingAM, title={Optimizing asphalt mix design process using artificial neural network and genetic algorithm}, author={Haissam K. Sebaaly and Sudhir Varma and James W. Maina}, journal={Construction and

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An artificial neural network model for virtual Superpave ...

Optimizing asphalt mix design process using artificial neural network and genetic algorithm. Article. ... [48], asphalt mix design optimization [49, 50] as well as aging analysis of asphalt ...

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An Artificial Intelligence-Based Prediction Model for ...

Request PDF On Dec 1, 2021, Melda Yücel and others published An Artificial Intelligence-Based Prediction Model for Optimum Design Variables of Reinforced Concrete Retaining Walls Find, read ...

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Application of Artificial Neural Networks for Estimating ...

Jan 01, 2009  This paper presents outcomes from a research effort to develop models for estimating the dynamic modulus (E * ) of hot-mix asphalt (HMA) layers on long-term pavement performance test sections. The goal of the work is the development of a new, rational, and effective set of dynamic modulus E * predictive models for HMA mixtures. These predictive models use artificial neural

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Case Studies of Asphalt Pavement Analysis/Design with ...

Using the Three-Stage Weibull Equation and Tree-Based Model to Characterize the Mix Fatigue Damage Process. In: Transportation Research Record: Journal of the Transportation Research Board, No. 1929, Transportation Research Board of the National Academies, Washington, D.C, pp. 227–237 (2005) Google Scholar

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Prediction of the High-Temperature Performance of a ...

Apr 25, 2019  Optimizing Asphalt Mix Design Process using Artificial Neural Network and Genetic Algorithm. Construction and Building Materials, Volume 168, pp. 660–670. Tapkin, S., Çevik, A., U?ar, Ü., 2009. Accumulated Strain Prediction of Polypropylene Modified Marshall Specimens in Repeated Creep Test using Artificial Neural Networks.

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Dr. Sudhir Varma - IIT P

Education: Ph.D. (Michigan State University) Research Areas: Characterization of pavement materials, constitutive modeling of pavements, asphalt mix design, non-destructive testing on pavements and durability and performance of asphalt mixes.

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‪James Maina‬ - ‪Google 学术搜索‬

Optimizing asphalt mix design process using artificial neural network and genetic algorithm H Sebaaly, S Varma, JW Maina Construction and Building Materials 168, 660-670 , 2018

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"Principal Component Neural Networks for Modeling ...

Aug 17, 2019  The design parameters satisfy the current design specifications of asphalt pavement and can be used as a first step in solving real-life design problems. The dynamic modulus of hot mix asphalt (HMA) is a fundamental material property that defines the stress-strain relationship based on viscoelastic principles and is a function of HMA properties ...

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CN102565312B - Method for estimating remaining life of ...

The invention discloses a method for estimating the remaining life of an asphalt pavement of a freeway. The method comprises the following steps of: building a corresponding computation model in a Bisar program according to an asphalt concrete pavement structure to be predicted, and calculating the tensile strains which are applied to the bottoms of various structural layers of the asphalt ...

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Development of predictive models for low-temperature ...

DOI: 10.1061/(ASCE)MT.1943-5533.0001655 Corpus ID: 138173109. Development of predictive models for low-temperature indirect tensile strength of asphalt mixtures @article{Krcmarik2016DevelopmentOP, title={Development of predictive models for low-temperature indirect tensile strength of asphalt mixtures}, author={Michael Krcmarik and S. Varma and M. Kutay and A. Jamrah}, journal={Journal of ...

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Compressive Strength of Fly-Ash-Based Geopolymer Concrete ...

Fly ash (FA) is a residual from thermal industries that has been effectively utilized in the production of FA-based geopolymer concrete (FGPC). To avoid time-consuming and costly experimental procedures, soft computing techniques, namely, random forest regression (RFR) and gene expression programming (GEP), are used in this study to develop an empirical model for the prediction of compressive ...

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A Globally Convergent Augmented Lagrangian Algorithm for ...

Jul 14, 2006  (2018) Optimizing asphalt mix design process using artificial neural network and genetic algorithm. Construction and Building Materials 168 , 660-670. (2018) Unsupervised Deep Transform Learning.

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Optimizing asphalt mix design process using artificial ...

Optimizing asphalt mix design process using artificial neural network and genetic algorithm 6 still the most prevalent asphalt mix design method. Therefore, in this study Marshall mix design data for mixes intended to be used for pavement construction projects were collected and used in developing the model.

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Optimizing asphalt mix design process using artificial ...

In the proposed approach, simple multilayer perceptron structure Artificial Neural Network (ANN) models were developed using 444 Marshall mix design data. The ANN models were able to predict both air voids and theoretical maximum specific gravity of asphalt mix to within ±0.5% and ±0.025, respectively, for 99.6% of the time.

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Optimizing Marshall Test Parameters on Asphalt Concrete ...

Optimizing Marshall Test Parameters on Asphalt Concrete Using Hybrid Neural Network - Genetic ... endurance or stability toward flow melt of the mix-asphalt. Marshall design procedure aims to get an optimum level of the asphalt. In guaranteed the level accuracy

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Artificial Intelligence Based Mix Design of Pavement Mixes ...

Jul 18, 2019  This paper presents a framework for using an artificial intelligence (AI) based computational approach for accelerating pavement mix design. The experimentation work in pavement engineering can be optimized significantly if the designer can start the work with materials or mixes that are known to be good performers, with a certain degree of accuracy.

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(PDF) Relationship between Bailey and Dominant Aggregate ...

Optimizing asphalt mix design process using artificial neural network and genetic algorithm. ... In the proposed approach, simple multilayer perceptron structure Artificial Neural Network (ANN ...

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An Artificial Intelligence-Based Prediction Model for ...

Request PDF On Dec 1, 2021, Melda Yücel and others published An Artificial Intelligence-Based Prediction Model for Optimum Design Variables of Reinforced Concrete Retaining Walls Find, read ...

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Analysis of the Mechanical Behaviour of Asphalt Concretes ...

The current paper deals with the numerical prediction of the mechanical response of asphalt concretes for road pavements, using artificial neural networks (ANNs). The asphalt concrete mixes considered in this study have been prepared with a diabase aggregate skeleton and two different types of bitumen, namely, a conventional bituminous binder and a polymer-modified one.

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Application of Artificial Neural Networks for Estimating ...

Jan 01, 2009  This paper presents outcomes from a research effort to develop models for estimating the dynamic modulus (E * ) of hot-mix asphalt (HMA) layers on long-term pavement performance test sections. The goal of the work is the development of a new, rational, and effective set of dynamic modulus E * predictive models for HMA mixtures. These predictive models use artificial neural

Get Price

Development of Asphalt Dynamic Modulus Master Curve Using ...

The asphalt concrete (AC) dynamic modulus (E*) is a key design parameter in mechanistic-based pavement design methodologies such as the American Association of State Highway and Transportation Officials (AASHTO) Mechanistic Empirical Pavement Design Guide (MEPDG)/Pavement-ME Design. The objective of this feasibility study was to develop frameworks for predicting the AC E* master

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A review on utilization of steel slag in hot mix asphalt ...

Aug 28, 2020  Road construction involves large quantity of construction materials, primarily obtained from natural sources. Utilization of waste materials in construction activities can reduce burden on these natural sources. To achieve sustainable development, use of steel slag as a substitute to natural-aggregates has gained significant attention. Steel slag as aggregate has many well-known

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Relationship between fatigue life of asphalt concrete and ...

May 08, 2015  While various kinds of fibers are used to improve the hot mix asphalt (HMA) performance, a few works have been undertaken on the hybrid fiber-reinforced HMA. Therefore, the fatigue life of modified HMA samples using polypropylene and polyester fibers was evaluated and two models namely regression and artificial neural network (ANN) were used to predict the fatigue life

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Optimizing Expert-Based Decision-Making of Pavement ...

Jun 06, 2019  Optimizing Expert-Based Decision-Making of Pavement Maintenance using Artificial Neural Networks with Pattern-Recognition Algorithms Marwan Hafez, Khaled Ksaibati, and Rebecca A. Atadero Transportation Research Record 2019 2673 : 11 , 90-100

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Marshall Test Results Prediction Using Artificial Neural ...

The most popular method used to design the Hot Mix Asphalt (HMA) especially in Egypt is Marshall Mix design ( AASHTO T-245 ), The Marshall method seeks to select the asphalt binder content at a desired density that satisfies minimum stability and range of flow values (Khanfar and Kholoqui,2007). The Marshall method uses several trials of

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Principal component analysis-based predictive modeling and ...

Permanent deformation in asphalt pavement is a function of material properties, loading, environmental conditions, and structural design (e.g., thickness of pavement layers). Because of the large n...

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