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A Vasenev, F Bijleveld, T Hartmann, A Dorée

Visualization of asphalt paving process during operations on site

Abstract: Presently important changes are occurring in the road construction industry, resulting in changing roles of road agencies and contractors. Additionally, a lot of new asphalt mixes with new properties are introduced, such as warm or even cold asphalt mixes, thin surfaces, etc. Despite these changes, the current asphalt paving process still heavily relies on the skills and experiences craftsmanship. Instruments to monitor key process parameters are seldom applicable. To overcome these limitations, real-time visualizations of key indicators such as asphalt temperature could provide decisive information to working teams oriented to adjust their operations on site. To move towards real-time decision making support, this paper introduces a workflow to deliver information in meaningful way by providing close to real-time and easily understandable visualizations of asphalt temperatures to roller operators. Using modern technologies like DGPS, temperature linescanner, and wireless connection on site it is possible to deliver visual information about asphalt temperature to support roller operators’ decision making regarding working paths. To implement user-oriented visualization we outlined an overall workflow including equipment selection, infrastructure organization, data processing and visualization phases. We validated the feasibility of workflow implementation through visualization of asphalt temperature on a real-world asphalt paving project.

Keywords: Asphalt paving, construction, infrared thermography, visualization

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Full text: content.pdf (285,779 bytes) (available to registered users only)

Series: w78:2011 (browse)
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A Vasenev, T Hartmann, A G Dorée

An Architecture for Reviewing Conducted Collaborative Operational Strategies and Exploring Alternatives in Virtual Environments: The Case of Asphalt Compaction

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Full text: content.pdf (202,352 bytes) (available to registered users only)

Series: w78:2014 (browse)
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G. Polat & Y. Buyuksaracoglu

Using discrete-event simulation for process modeling: Case of work structuring of asphalt highway construction operations

Abstract: In this study, the resource planning problem of a real-life problem, namely a 4 km long and 14 m wide asphalt highway project, was handled. According to the contract between the owner and the contractor, all construction work should have been completed within 17 days. The contractor of this project aimed to determine the minimum number of resources required to complete the project within the estimated project duration and their utilization rates. In this research, this problem was handled using computer simulation technique. For this purpose, a dynamic, stochastic and discrete event simulation model was used. The simulation model was built using the ready-made simulation software Extend+BPR. The simulation results revealed that when 3 flagmen, 1 grader, 1 road roller, 1 water truck, 17 trucks, 1 paver, 1 rubber roller, 1 steel wheel roller, and 5 laborers are used, the construction phase of the project could be completed within 17 days. Among all the resources required to complete the project, while the rubber roller had the maximum utilization rate (68%), the water truck had the minimum value (7%). The simulation results also indicated that while any increase in the number of these resources did not help to shorten the project duration, any decrease in the number of these resources brought about severe delays. Although the proposed methodology has some limitations, it has great potential to optimize resources and production rates in similar asphalt highway construction operations, especially when used during the planning phase.

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Full text: content.pdf (551,535 bytes) (available to registered users only)

Series: w78:2009 (browse)
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Pimentao J P, Sousa P A, Jardim-Goncalves R, Steiger-Garcao A

The road model - roadrobot’s experience in applying standards to road construction process’ models

Abstract: "This paper starts by presenting, in short, the architecture developed within European Project ESPRIT III 6660 RoadRobot (Operator Assisted Mobile Road Robot For Heavy Duty Civil Engineering Applications), that aimed towards the full automation of road construction sites. The purpose of the architecture was to lay the basis for the development of a system capable of integrating a set of applications in a common architecture based on the use of a standard (ISO 10303-STEP). The presented architecture has demonstrated the full integration of information and control, starting by loading the information from the selected CAE system (InRoads from Intergraph), down, through the intermediate steps, to the automatic control of a Road Paver from German manufacturer VÖGELE. The main focus of the paper is on the standard-based information models that have been developed to represent project information throughout the road construction cycle. The initial Road Model Kernel created by TNO has been extended to support road specifications that include an update on the specification of asphalt layers for road paving, but also the addition of geological information for the specification of excavation tasks. A set of models has been developed for the maintenance of information regarding planning and scheduling of tasks, which takes into account the project information. A model for resources is used form maintaining resource information for allocation during planning and scheduling. Finally a control model has been developed for control of execution of tasks. The RoadRobot has demonstrated the use of this architecture, and its underlying information models on a demonstration where information downloaded from the CAE system has made its way to a road paver who paved a road segment without on-site human intervention."

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Full text: content.pdf (328,074 bytes) (available to registered users only)

Series: w78:2000 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.standards (0.033764) class.represent (0.021030) class.software-machine (0.016240)
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Permission to reproduce these documents have been graciously provided by Icelandic Building Research Institute. The assistance of the editor, Mr. Gudni Gudnason, is gratefully appreciated


Steven Vick and Ioannis Brilakis

Asphalt Road Layer Detection for Construction Progress Monitoring

Abstract: Transportation construction projects consistently underperform, with an estimated $82.6 billion globally in annual cost overruns. Current progress monitoring practices contribute to this poor performance thanks to their manual, subjective, inaccurate, and time-consuming nature. Automating this task could address these shortfalls and improve project performance. One way to accomplish this automation compares 3D Civil Infrastructure Model design surfaces to 3D point cloud reconstructions of the as-built scene. This requires automated detection of the design surfaces in the as-built data. Research in this area has focused on all-or-nothing detection of structural building components using methods that are a poor fit for large, complex, and closely-layered road design surfaces. These approaches ignore the kind of incremental progress detection needed on transportation projects. This paper proposes a method for detecting large road design surfaces in discrete regions (i.e. increments) of as-built point cloud data, contributing a novel model-guided and sparse hierarchical data structure ('layerTree') that addresses the limitations of existing state-of-the-art methods. The authors collected as-built and as-planned data during construction of a small residential road in Cambridge, UK. A total of 640 experiments on this data examined different combinations of layerTree parameters and classification rules, producing a peak accuracy of 86.62%, peak precision of 80.65%, and peak recall of 92.50%. The most balanced combination produced an accuracy of 86.50%, precision of 68.17%, and recall of 60.99%.

Keywords: Construction Progress Monitoring, Transportation, Drones

DOI: https://doi.org/10.24928/JC3-2017/0329

Full text: content.pdf (6,096,889 bytes) (available to registered users only)

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