Establishing a 3D aggregates database from X-ray CT scans of bulk concrete

Wang, Mingzhi; Xu, Yang; Wang, Wei

doi:10.1016/j.conbuildmat.2021.125740

Cited by 147 publications

(37 citation statements)

References 28 publications

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“…On the whole, the extracted road network can better reflect the topological structure of the urban road network, and the roads at all levels have a high degree of coincidence. The network map is used as a reference to manually vectorize a small part of the road network as the evaluation area, and the buffer method proposed in [30,31] is used to evaluate the road network accuracy of the evaluation area. A specific range of buffers is made for the extracted road network.…”

Section: Resultsmentioning

confidence: 99%

Research on Urban Road Network Extraction Based on Web Map API Hierarchical Rasterization and Improved Thinning Algorithm

Wen

Zhang

2022

Sustainability

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Most existing research on the vector road network is based on GPS trajectory travel information extraction, and urban GPS trajectory data are large and difficult to obtain. Based on this, this study proposes a road network extraction method based on network map API and designs a vector road network based on an improved image-processing algorithm using trajectory data. Firstly, a large number of trajectory data are processed by hierarchical rasterization. The trajectory points of the regional OD matrix are obtained by using the map API interface to generate the trajectory. Then, the image expansion processing is performed on the road network raster image to complete the information loss problem. The improved Zhang–Suen refinement algorithm is used to refine the idea to obtain the road center line, and the vector road network in the study area is obtained. Finally, taking the Harbin City of Heilongjiang Province as an example, compared with the road network of the network map, it has been demonstrated that using this technology may improve the traveler experience and the sustainability of urban traffic flow while reducing the number of manual procedures required, performing online incremental rapid change detection, and updating the present road network at a cheaper cost.

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Section: Resultsmentioning

confidence: 99%

Research on Urban Road Network Extraction Based on Web Map API Hierarchical Rasterization and Improved Thinning Algorithm

Wen

Zhang

2022

Sustainability

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“…As one of the supplementary approaches for empirical tests, the finite element method has always been used to verify the test results and extract additional data from the samples [47][48][49]. Furthermore, different programs have been produced based on FE principles, including ABAQUS and ANSYS, which are employed in various applications in engineering problems.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Performance of a Composite Profile at Elevated Temperatures Using Finite Element and Hybrid Artificial Intelligence Techniques

Ding¹,

Alharbi

Almadhor

et al. 2022

Materials

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It is very important to keep structures and constructional elements in service during and after exposure to elevated temperatures. Investigation of the structural behaviour of different components and structures at elevated temperatures is an approach to manipulate the serviceability of the structures during heat exposure. Channel connectors are widely used shear connectors not only for their appealing mechanical properties but also for their workability and cost-effective nature. In this study, a finite element (FE) evaluation was performed on an authentic composite model, and the behaviour of the channel shear connector at elevated temperature was examined. Furthermore, a novel hybrid intelligence algorithm based on a feature-selection trait with the incorporation of particle swarm optimization (PSO) and multi-layer perceptron (MLP) algorithms has been developed to predict the slip response of the channel. The hybrid intelligence algorithm that uses artificial neural networks is performed on derived data from the FE study. Finally, the obtained numerical results are compared with extreme learning machine (ELM) and radial basis function (RBF) results. The MLP-PSO represented dramatically accurate results for slip value prediction at elevated temperatures. The results proved the active presence of the channels, especially to improve the stiffness and loading capacity of the composite beam. Although the height enhances the ductility, stiffness is significantly reduced at elevated temperatures. According to the results, temperature, failure load, the height of connector and concrete block strength are the key governing parameters for composite floor design against high temperatures.

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“…The quality gain-loss transfer model and the tolerance optimization method of quality characteristics were studied further [17]. Under the condition that the loss of linear term could not be ignored and the compensation amount remained unchanged, a quality gain-loss function model with larger-the-better and smaller-the-better characteristics was designed [18][19][20][21]. Considering the compensation effect in the dam concrete construction based on quality characteristics, a tolerance optimization model of dam concrete construction quality was built, and the adjustment rate of the optimal tolerance of each quality characteristic in each stage of dam concrete construction was studied, so as to maximize the overall quality of construction [22,23].…”

Section: Introductionmentioning

confidence: 99%

Establishment and Application of a Grey Quality Gain–Loss Function Model

Wang

Liu

et al. 2022

Processes

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Based on Grey System Theory and the inverted normal quality gain–loss function, the inverted normal grey quality gain–loss function model is put forward. According to the constant compensation and hyperbolic tangent compensation, the grey quality gain–loss function model with nominal-type characteristics, larger-the-better characteristics and smaller-the-better characteristics is built. A multivariate grey quality gain–loss function model with multiple sub quality indexes and the concept of grey quality gain–loss cost are proposed. Case analysis is applied to the quality control of dam concrete construction, which verifies the applicability of the model and provides an important reference for research on the new theory of dam concrete construction quality control.

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Establishing a 3D aggregates database from X-ray CT scans of bulk concrete

Cited by 147 publications

References 28 publications

Research on Urban Road Network Extraction Based on Web Map API Hierarchical Rasterization and Improved Thinning Algorithm

Research on Urban Road Network Extraction Based on Web Map API Hierarchical Rasterization and Improved Thinning Algorithm

Evaluation of the Performance of a Composite Profile at Elevated Temperatures Using Finite Element and Hybrid Artificial Intelligence Techniques

Establishment and Application of a Grey Quality Gain–Loss Function Model

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