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  • 2015-2019  (85)
  • 1
    Online Resource
    Online Resource
    Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model
    Hindawi Limited ; 2016
    In:  Advances in Civil Engineering Vol. 2016 ( 2016), p. 1-8
    Details
    In: Advances in Civil Engineering, Hindawi Limited, Vol. 2016 ( 2016), p. 1-8
    Abstract: This research carries out a comparative study to investigate a machine learning solution that employs the Gaussian Process Regression (GPR) for modeling compressive strength of high-performance concrete (HPC). This machine learning approach is utilized to establish the nonlinear functional mapping between the compressive strength and HPC ingredients. To train and verify the aforementioned prediction model, a data set containing 239 HPC experimental tests, recorded from an overpass construction project in Danang City (Vietnam), has been collected for this study. Based on experimental outcomes, prediction results of the GPR model are superior to those of the Least Squares Support Vector Machine and the Artificial Neural Network. Furthermore, GPR model is strongly recommended for estimating HPC strength because this method demonstrates good learning performance and can inherently express prediction outputs coupled with prediction intervals.
    Type of Medium: Online Resource
    ISSN: 1687-8086 , 1687-8094
    URL: Article
    DOI: 10.1155/2016/2861380
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2016
    detail.hit.zdb_id: 2449760-5
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  • 2
    Online Resource
    Online Resource
    Optimizing Construction Project Labor Utilization Using Differential Evolution: A Comparative Study of Mutation Strategies
    Hindawi Limited ; 2015
    In:  Advances in Civil Engineering Vol. 2015 ( 2015), p. 1-8
    Details
    In: Advances in Civil Engineering, Hindawi Limited, Vol. 2015 ( 2015), p. 1-8
    Abstract: In construction management, the task of planning project schedules with consideration of labor utilization is very crucial. However, the commonly used critical path method (CPM) does not inherently take into account this issue. Consequently, the labor utilization of the project schedule derived from the CPM method often has substantial low ebbs and high peaks. This research proposes a model to obtain project schedule with the least fluctuation in labor demand while still satisfying the project deadline and maintain the project cost. The Differential Evolution (DE), a fast and efficient metaheuristic, is employed to search for the most desirable solution of project execution among numerous combinations of activities’ crew sizes and start times. Furthermore, seven DE’s mutation strategies have also been employed for solving the optimization at hand. Experiment results point out that the Target-to-Best 1 and a new hybrid mutation strategy can attain the best solution of project schedule with the least fluctuation in labor demand. Accordingly, the proposed framework can be an effective tool to assist decision-makers in the project planning phase.
    Type of Medium: Online Resource
    ISSN: 1687-8086 , 1687-8094
    URL: Article
    DOI: 10.1155/2015/108780
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2449760-5
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  • 3
    Online Resource
    Online Resource
    An Investigation on the Dynamic Response of Cable Stayed Bridge with Consideration of Three-Axle Vehicle Braking Effects
    Hindawi Limited ; 2017
    In:  Journal of Computational Engineering Vol. 2017 ( 2017-06-11), p. 1-13
    Details
    In: Journal of Computational Engineering, Hindawi Limited, Vol. 2017 ( 2017-06-11), p. 1-13
    Abstract: The cable-stayed bridge (CSB) is often used to span over the large rivers on the highway with a high-level navigational clearance; however, CSB is very sensitive to live load. Most of the previous studies on vibration analysis of CSB that focus on complex traffic loading and vehicle dynamic interaction as well as on the bridge deck do not consider braking effects thoroughly. In this paper, the finite element method (FEM) is used to investigate the dynamic response of CSB due to a three-axle vehicle considering braking effects. Vertical reaction forces of axles that change with time make bending vibration of the bridge deck increase significantly. The braking in a span is able to create response in other spans, towers, and cables. In addition, the impact factors are investigated on both FEM and experiment with a case study of Pho Nam bridge (Danang city, Central Vietnam). The results of this study provide an improved understanding of the CSB dynamic behaviors, and they can be used as useful references for bridge codes by practicing engineers.
    Type of Medium: Online Resource
    ISSN: 2356-7260 , 2314-6443
    URL: Article
    DOI: 10.1155/2017/4584657
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2778952-4
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  • 4
    Online Resource
    Online Resource
    Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression
    American Society of Civil Engineers (ASCE) ; 2016
    In:  Journal of Computing in Civil Engineering Vol. 30, No. 3 ( 2016-05)
    Details
    In: Journal of Computing in Civil Engineering, American Society of Civil Engineers (ASCE), Vol. 30, No. 3 ( 2016-05)
    Type of Medium: Online Resource
    ISSN: 0887-3801 , 1943-5487
    URL: Article
    DOI: 10.1061/(ASCE)CP.1943-5487.0000506
    Language: English
    Publisher: American Society of Civil Engineers (ASCE)
    Publication Date: 2016
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  • 5
    Online Resource
    Online Resource
    FUZZY CLUSTERING CHAOTIC-BASED DIFFERENTIAL EVOLUTION FOR RESOURCE LEVELING IN CONSTRUCTION PROJECTS
    Vilnius Gediminas Technical University ; 2016
    In:  JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT Vol. 23, No. 1 ( 2016-07-13), p. 113-124
    Details
    In: JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, Vilnius Gediminas Technical University, Vol. 23, No. 1 ( 2016-07-13), p. 113-124
    Abstract: Project scheduling is an important part of project planning in many management companies. Resource lev­eling problem describes the process of reducing the fluctuations in resource usage over the project duration. The goal of resource leveling is to minimize the incremental demands that cause fluctuations of resources, and thus avoid unde­sirable cyclic hiring and firing during project execution. In this research, a novel optimization model, named as Fuzzy Clustering Chaotic-based Differential Evolution for solving Resource leveling (FCDE-RL), is introduced. Fuzzy Cluster­ing Chaotic-based Differential Evolution (FCDE) is developed by integrating original Differential Evolution with fuzzy c-means clustering and chaotic techniques to tackle complex optimization problems. Chaotic was exploited to prevent the optimization algorithm from premature convergence. Meanwhile, fuzzy c-means clustering acts as several multi-par­ent crossover operators to utilize the information of the population efficiently to enhance the convergence. Experimental results revealed that the new optimization model is a promising alternative to assist project managers in dealing with construction project resource leveling.
    Type of Medium: Online Resource
    ISSN: 1392-3730 , 1822-3605
    URL: Article
    DOI: 10.3846/13923730.2014.982699
    Language: Unknown
    Publisher: Vilnius Gediminas Technical University
    Publication Date: 2016
    detail.hit.zdb_id: 2571620-7
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  • 6
    Online Resource
    Online Resource
    Modeling Punching Shear Capacity of Fiber-Reinforced Polymer Concrete Slabs: A Comparative Study of Instance-Based and Neural Network Learning
    Hindawi Limited ; 2017
    In:  Applied Computational Intelligence and Soft Computing Vol. 2017 ( 2017), p. 1-11
    Details
    In: Applied Computational Intelligence and Soft Computing, Hindawi Limited, Vol. 2017 ( 2017), p. 1-11
    Abstract: This study investigates an adaptive-weighted instanced-based learning, for the prediction of the ultimate punching shear capacity (UPSC) of fiber-reinforced polymer- (FRP-) reinforced slabs. The concept of the new method is to employ the Differential Evolution to construct an adaptive instance-based regression model. The performance of the proposed model is compared to those of Artificial Neural Network (ANN) and traditional formula-based methods. A dataset which contains the testing results of FRP-reinforced concrete slabs has been collected to establish and verify new approach. This study shows that the investigated instance-based regression model is capable of delivering the prediction result which is far more accurate than traditional formulas and very competitive with the black-box approach of ANN. Furthermore, the proposed adaptive-weighted instanced-based learning provides a means for quantifying the relevancy of each factor used for the prediction of UPSC of FRP-reinforced slabs.
    Type of Medium: Online Resource
    ISSN: 1687-9724 , 1687-9732
    URL: Article
    DOI: 10.1155/2017/9897078
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2582427-2
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  • 7
    Online Resource
    Online Resource
    Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis
    Elsevier BV ; 2016
    In:  Expert Systems with Applications Vol. 46 ( 2016-03), p. 60-68
    Details
    In: Expert Systems with Applications, Elsevier BV, Vol. 46 ( 2016-03), p. 60-68
    Type of Medium: Online Resource
    ISSN: 0957-4174
    URL: Article
    DOI: 10.1016/j.eswa.2015.10.020
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
    detail.hit.zdb_id: 1041179-3
    detail.hit.zdb_id: 2017237-0
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  • 8
    Online Resource
    Online Resource
    Estimating Concrete Workability Based on Slump Test with Least Squares Support Vector Regression
    Hindawi Limited ; 2016
    In:  Journal of Construction Engineering Vol. 2016 ( 2016-12-06), p. 1-8
    Details
    In: Journal of Construction Engineering, Hindawi Limited, Vol. 2016 ( 2016-12-06), p. 1-8
    Abstract: Concrete workability, quantified by concrete slump, is an important property of a concrete mixture. Concrete slump is generally known to affect the consistency, flowability, pumpability, compactibility, and harshness of a concrete mix. Hence, an accurate prediction of this property is a practical need of construction engineers. This research proposes a machine learning model for predicting concrete slump based on the Least Squares Support Vector Regression (LS-SVR). LS-SVR is employed to model the nonlinear mapping between the mix components and slump values. Since the learning process of the LS-SVR necessitates two hyperparameters, the regularization and the kernel parameters, the grid search method is employed search for the most desirable set of hyperparameters. Furthermore, to construct the hybrid model, this research collected a dataset including actual concrete slump tests from a hydroelectric dam construction project in Vietnam. Experimental results show that the proposed model is capable of predicting concrete slump accurately.
    Type of Medium: Online Resource
    ISSN: 2356-7295 , 2314-5986
    URL: Article
    DOI: 10.1155/2016/5089683
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2016
    detail.hit.zdb_id: 2764722-5
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  • 9
    Online Resource
    Online Resource
    A Study on the Dynamic Interaction between Three-Axle Vehicle and Continuous Girder Bridge with Consideration of Braking Effects
    Hindawi Limited ; 2017
    In:  Journal of Construction Engineering Vol. 2017 ( 2017-03-15), p. 1-12
    Details
    In: Journal of Construction Engineering, Hindawi Limited, Vol. 2017 ( 2017-03-15), p. 1-12
    Abstract: Continuous girder bridges become increasingly popular because of the rapid development of highway throughout the world. Most of previous researches on vibration analysis of a multispan continuous bridge subject to complex traffic loading and vehicle dynamic interaction focus on the girder displacement not considering braking effects. In current literature, few studies have discussed the effects of braking on continuous girder bridges. In this study, we employ the finite element method (FEM) to investigate the dynamic response of continuous girder bridge due to three-axle vehicle. Vertical reaction forces of axles that change with time make bending vibration of girder increase significantly. The braking in the first span is able to create response in other spans. In addition, the dynamic impact factors are investigated by both FEM and experiments on a real bridge structure. The results of this study extend the current understanding of the bridge dynamic behaviors and can be used as additional references for bridge codes by practicing engineers.
    Type of Medium: Online Resource
    ISSN: 2356-7295 , 2314-5986
    URL: Article
    DOI: 10.1155/2017/9293239
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2764722-5
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  • 10
    Online Resource
    Online Resource
    Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network
    Elsevier BV ; 2018
    In:  Automation in Construction Vol. 94 ( 2018-10), p. 203-213
    Details
    In: Automation in Construction, Elsevier BV, Vol. 94 ( 2018-10), p. 203-213
    Type of Medium: Online Resource
    ISSN: 0926-5805
    URL: Article
    DOI: 10.1016/j.autcon.2018.07.008
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 2002703-5
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