Yelda Turkan

Oregon State University, Civil and Construction Engineering, Faculty Member

Followers

399

Following

122

Co-authors

Public Views

Phone: +1-541-737-2631
Address: Oregon State University
School of Civil and Construction Engineering
202E Kearney Hall
Corvallis, Oregon 97331 USA

less

InterestsView All (19)

Uploads

Papers by Yelda Turkan

Tracking Secondary and Temporary Concrete Construction Objects Using 3D Imaging Technologies

by Carl Haas and Yelda Turkan

Computing in Civil Engineering, 2013

Automated Progress Tracking of Construction Projects using Sensing and 3D Imaging Technologies

by Carl Haas and Yelda Turkan

Progress tracking is always one of the most important concerns of contractors and managers. Among... more Progress tracking is always one of the most important concerns of contractors and managers. Among progress tracking methods, the manual approaches are prone to error and hard to implement and apply in heavy construction sites. Thus, developing an automated approach to track construction items is very beneficial and can prevent projects falling behind schedule. In this study, two recent approaches for progress tracking are described and compared. Both approaches tracked pipe-works due to their complicatedness and importance in industrial projects. The first approach uses a terrestrial laser scanner, which can generate an accurate 3D point cloud of an object. The second method employed digital photogrammetry to generate a 3D view of objects. Then, current status of the object is compared to Building Information Model (BIM) to evaluate project schedule in both methods.

Download

Towards Automated Progress Tracking of Erection of Concrete Structures

by Carl Haas and Yelda Turkan

Proc. 6th Int. Conf. …, 2010

One of the main criticisms of the construction industry is that projects are too often completed ... more

Download

Automated Progress Tracking of Erection of Concrete Structures

by Carl Haas and Yelda Turkan

Abstract: One of the main criticisms of the construction industry is that projects are too often ... more Abstract: One of the main criticisms of the construction industry is that projects are too often completed behind schedule (and/or with cost overruns). Schedule delays may result from poor planning, but also from poor progress control, because, if progress deviation is identified too late, then actions can often not be taken to avoid the impact of these delays on the overall project schedule. Progress tracking of erection of concrete structures in particular is a very demanding task requiring intensive data collection. It is because erection of ...

Download

Tracking the Built Status of MEP Works: Assessing the Value of a Scan-vs.-BIM System

by Carl Haas and Yelda Turkan

Journal of Computing in Civil Engineering, 2013

Keywords: MEP 3D laser scanning BIM Scan-vs-BIM Scan-to-BIM Hough transform Progress tracking Per... more Keywords: MEP 3D laser scanning BIM Scan-vs-BIM Scan-to-BIM Hough transform Progress tracking Percent built as planned There is a growing need for tools automating the processing of as-built 3D laser scanned data, and more particularly the comparison of this as-built data with planned works. This paper particularly considers the case of tracking MEP components with circular cross-sections, which essentially include pipes, and some conduits and ducts. Discrepancies between the as-built and as-planned status of pipes, conduit and ductwork result from changes that occur in the field and that are either unnoticed (human error) or not reflected in the 3D model. Previous research has shown that the Hough transform, with judiciously applied domain constraints, is a practical and cost-effective approach to find, recognize and reconstruct cylindrical MEP works within point clouds automatically. Previous research has also shown that "Scan-vs-BIM" systems that are based on the geometric alignment and comparison of as-built laser scans with as-designed BIM models can effectively recognize and identify MEP components as long as they are constructed near their as-planned locations. The research presented in this paper combines the two techniques in a unified approach for more robust automated comparison of as-built and as-planned cylindrical MEP works, thereby providing the basis for automated earned value tracking, automated percent-built-asplanned measures, and assistance for the delivery of as-built BIM models from as-designed ones. The proposed approach and its improved performance are validated using data acquired from an actual construction site. The results are very encouraging and demonstrate the added value of the proposed integrated approach over the rather simpler Scan-vs-BIM system. The two main areas of improved performance are: (1) the enabled recognition and identification of objects that are not built at their asplanned locations; and (2) the consideration for pipe completeness in the pipe recognition and identification metric.

Download

Tracking of secondary and temporary objects in structural concrete work

by Carl Haas and Yelda Turkan

Construction Innovation: Information, Process, Management, 2014

If you would like to write for this, or any other Emerald publication, then please use our Emeral... more

Download

Fusing 4D Modelling and Laser Scanning for Construction Schedule Control

by Carl Haas and Yelda Turkan

vision.ee.ethz.ch

The construction industry remains one of the riskiest of all. This risk is mainly the result of a... more

Download

Tracking MEP Installation Works

by Carl Haas and Yelda Turkan

Automated earned-value tracking

by Carl Haas and Yelda Turkan

Gerontechnology, 2012

Automated earned-value tracking.

Toward Automated Earned Value Tracking Using 3D Imaging Tools

by Carl Haas and Yelda Turkan

Journal of Construction Engineering and Management, 2013

Accurate and frequent construction progress tracking provides critical input data for project sys... more Accurate and frequent construction progress tracking provides critical input data for project systems such as cost and schedule control as well as billing. Unfortunately, conventional progress tracking is labor intensive, sometimes subject to negotiation, and often driven by arcane rules. Attempts to improve progress tracking have recently focused mainly on automation, using technologies such as 3D imaging, GPS, UWB indoor locating, hand-held computers, voice recognition, wireless networks, and other technologies in various ...

Toward Automated Earned Value Tracking Using 3D Imaging Tools

by Carl Haas and Yelda Turkan

Journal of Construction Engineering and Management, Apr 1, 2013

Towards automated progress tracking of erection of concrete structures

by Carl Haas and Yelda Turkan

One of the main criticisms of the construction industry is that projects are too often completed ... more One of the main criticisms of the construction industry is that projects are too often completed behind schedule (and/or with cost overruns). Schedule delays may result from poor planning, but also from poor progress control, because, if progress deviation is identified too late, then actions can often not be taken to avoid the impact of these delays on the overall project schedule. Progress tracking of erection of concrete structures in particular is a very demanding task requiring intensive data collection. It is because erection of concrete structures involves many steps like erection of scaffolding, formwork and rebar assemblies, concrete placement, and removal of scaffolding and formwork. Current manual tracking methods, based on foremen daily reports, are typically time consuming and/or error prone. Three dimensional (3D) Laser Scanners (LADARs) are capable of capturing and recording the 3D status of construction sites with high accuracy in short periods of time and have thus the potential to effectively support progress tracking. An automated object recognition system has recently been developed to recognize project 3D CAD model objects from site laser scans. A novel system is proposed here which combines this 3D object recognition system with architect and engineer provided BIM and schedule information into a 4D object recognition system, with a focus on progress tracking. This new system improves the one originally proposed by Bosche et al. (2009). It is demonstrated with real life data acquired over the course of construction of the new Engineering V Building at the University of Waterloo.

Download

Automated progress tracking using 4D schedule and 3D sensing technologies

by Carl Haas and Yelda Turkan

Automation in Construction, 2012

Efficient and effective construction progress tracking is critical to construction management. Cu... more Efficient and effective construction progress tracking is critical to construction management. Current manual methods, which are mainly based on foremen daily reports or quantity surveyor reports, are time consuming and/or error prone. Three dimensional (3D) sensing technologies, such as 3D laser scanners (LADARs) and photogrammetry are now being investigated and have shown potential for saving time and cost for recording project 3D status and thus to support some categories of progress tracking. Although laser scanners in particular and 3D imaging in general are being investigated and used in multiple applications in the construction industry, their full potential has not yet been achieved. The reason may be that commercial software packages are still too complicated and time consuming for processing scanned data. Methods have however been developed for the automated, efficient and effective recognition of project 3D CAD model objects in site laser scans. A novel system is thus described herein that combines 3D object recognition technology with schedule information into a combined 4D object recognition system with a focus on progress tracking. This system is tested on a comprehensive field database acquired during the construction of the structure of the Engineering V Building at the University of Waterloo. It demonstrates a degree of accuracy for automated structural progress tracking and schedule updating that meets or exceeds typical manual performance.

Download

Toward Automated Spatial Change Analysis of MEP Components Using 3D Point Clouds and As-Designed BIM Models

2014 2nd International Conference on 3D Vision, 2014

The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components

by Carl Haas and Yelda Turkan

Automation in Construction, 2015

There is a growing need for tools automating the processing of as-built 3D laser scanned data, an... more There is a growing need for tools automating the processing of as-built 3D laser scanned data, and more particularly the comparison of this as-built data with planned works. This paper particularly considers the case of tracking MEP components with circular cross-sections, which essentially include pipes, and some conduits and ducts. Discrepancies between the as-built and as-planned status of pipes, conduit and ductwork result from changes that occur in the field and that are either unnoticed (human error) or not reflected in the 3D model. Previous research has shown that the Hough transform, with judiciously applied domain constraints, is a practical and cost-effective approach to find, recognize and reconstruct cylindrical MEP works within point clouds automatically. Previous research has also shown that "Scan-vs-BIM" systems that are based on the geometric alignment and comparison of as-built laser scans with as-designed BIM models can effectively recognize and identify MEP components as long as they are constructed near their as-planned locations. The research presented in this paper combines the two techniques in a unified approach for more robust automated comparison of as-built and as-planned cylindrical MEP works, thereby providing the basis for automated earned value tracking, automated percent-built-asplanned measures, and assistance for the delivery of as-built BIM models from as-designed ones. The proposed approach and its improved performance are validated using data acquired from an actual construction site. The results are very encouraging and demonstrate the added value of the proposed integrated approach over the rather simpler Scan-vs-BIM system. The two main areas of improved performance are: (1) the enabled recognition and identification of objects that are not built at their asplanned locations; and (2) the consideration for pipe completeness in the pipe recognition and identification metric.

Download

Tracking MEP Installation Works

Automated Progress Tracking of Construction Projects using Sensing and 3D Imaging Technologies

Download

Monitoring Changes of Border and Areal Extent in Salt Lake by Using Multi-temporal NOAA-A VHRR and SPOT XS/XI Images

Civil Information Modeling Adoption by Iowa and Missouri DOT

by Yelda Turkan and Fangyu Guo

Building Information Modeling (BIM) is often perceived as a software tool that is applicable sole... more Building Information Modeling (BIM) is often perceived as a software tool that is applicable solely for designing and constructing buildings. BIM is more than just a software tool. It is a process that can enhance collaboration between project participants through three dimensional (3D) intelligent models, and it can be effectively used for designing, constructing, operating and managing any type of facilitie including those for horizontal infrastructure. According to a recent smart market report by McGraw Hill, an increasing number of horizontal projects are now taking advantage of a process that is similar to BIM. In order to recognize the special needs of horizontal projects, Civil Information Modeling (CiM) moniker has been adopted by the participants of these projects to describe the process that is equivalent to BIM. Some innovative contractors for horizontal projects are the early users of CiM and some state departments of transportation (DOTs) have also started adopting CiM. Furthermore, some DOTs also take advantage of advanced data collection technologies such as LIDAR that generates surveying data in 3D point cloud form which can be used as basis for 3D design that allows the entire workflow to be in 3D format. This paper presents content the analysis results of interviews conducted with officials of the Iowa and Missouri DOTs who are involved with CiM implementation. It reviews the driving forces, challenges as well as the benefits of using 3D intelligent models throughout the project development process and on into the operation and maintenance stages from DOT's perspectives. It explores current CiM practices while providing a gap analysis that defines what remains to be done in order to fully implement CiM.

Download

Fusing 4D modeling and laser scanning for automated construction progress control