Utilizing BIM+Geospatial for Existing Buildings Presented By: Asem - - PowerPoint PPT Presentation

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Utilizing BIM+Geospatial for Existing Buildings Presented By: Asem - - PowerPoint PPT Presentation

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College of Engineering College of Engineering College of Engineering Master of Science in Civil Engineering (MSCE) Master of Science in Civil Engineering (MSCE) Master of Science in Civil Engineering (MSCE) Utilizing BIM+Geospatial for

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Utilizing BIM+Geospatial for Existing Buildings

College of Engineering

Master of Science in Civil Engineering (MSCE)

College of Engineering

Master of Science in Civil Engineering (MSCE)

College of Engineering

Master of Science in Civil Engineering (MSCE)

September 11, 2014

Presented By: Asem Zabin

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About Me: Asem Zabin

Interests: Building Information Modeling, BIM for existing buildings, Utilizing Geo-Spatial technologies with BIM, BIM Education  Graduate from the American University of Sharjah (AUS)

with a Bachelor of Science in Civil Engineering (2012).

 BIM related Projects: 5D BIM Model: integrating time and cost with

3D BIM Model

 Researches: Barriers and limitations to adopting BIM in UAE

 Current Enrollments:

 BIM engineer at iTech Management Consultancy

 BIM Implementation Projects:

  • Al Mafraq Hospital, Abu Dhabi
  • Riyadh Metro Project (Bechtel)

 Masters of Science in Civil Engineering student at AUS.

 Main Focus: Project Management, Remote Sensing, BIM

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Contents

Introduction

 As-Built Drawings  Current Documentation Methods  Remote Sensing  Building Information Modeling (BIM)

Problem Statement Literature Review Objectives Questions

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GeoSpatial Data & Remote Sensing in Response to Sept 11

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GeoSpatial Data & Remote Sensing in Response to Sept 11

Satellite Imagery

 IKONOS imagery gave the general public a view of Ground Zero, it provides a detailed representation of the ground surface

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LiDAR Altimetry

 Employed by Fire Chiefs as a planning and visualization tool. They used the resulting maps to estimate the volume of the debris piles and analyze changes between days. Also it helped locate original support structures, stairwells, elevator shafts, basements, etc.

GeoSpatial Data & Remote Sensing in Response to Sept 11

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Introduction

 As-Built Drawings  Current Documentation Methods  Remote Sensing  Building Information Modeling (BIM)

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Introduction

  • As-built

 Definition:

 Set of drawing and documents submitted by a contractor upon completion of a project or a particular job.  Reflect all changes made in the specifications and working drawings during the construction process.  Show the exact dimensions, geometry, and location of all elements of the work completed under the contract.  Also known as “record drawings” or “as is”.

 Applications

 Commissioning  Energy Analysis  Maintenance  Assessing building performance  Renovations..etc

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  • Before As-Built
  • Due to contractor errors, poor documentation, or
  • n-site problems during the construction phase,

the documents of a building often vary from how it was originally designed by the architects, Issued For Construction (IFC) drawings, shop drawings, and even after the project handling.

Introduction

Current Documentation Methods

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Introduction

  • Remote Sensing

Remote Sensing “is the science and art of capturing information about objects, areas, or a phenomenon through the analysis of data acquired by device that is not in physical contact with the object, area or the phenomenon.” – Remote sensing and imagining applications Features:

  • It’s contactless.
  • It can be used to measure objects in very hot and difficult-to-

access areas.

  • It allows fast measurement.
  • It measures the temperature of a solid-state body.
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Introduction

Building Information Modeling (BIM)

“An improved planning, design, construction, operation, and maintenance process using a standardized machine-readable information model for each facility, new or old, which contains all appropriate information created or gathered about that facility in a format useable by all throughout its lifecycle”

  • Charter of National Building Information Modeling (NBIM)
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Introduction

Building Information Modeling (BIM)

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Introduction

Building Information Modeling (BIM)  Common BIM Benefits include:

 Improved visualization  Improved productivity due to easy retrieval of information  Increased coordination of construction documents  Embedding and linking of vital information such as vendors for specific materials, location of details and quantities required for estimation and tendering  Increased speed of delivery  Reduced costs

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Problem Statement

  • Current procedures are mainly done manually, which is

extensively time consuming, labor intensive, error-prone, and costly work.  Current methods for data acquisition include laser distance meters, digital cameras, measuring tapes, and laser measuring devices.

  • Inadequate interoperability of building information

experiences cost increases of $6.12 per square foot for new construction and $0.23 per square foot for operations and maintenance.

  • More than $1.5 billion are lost every year in the United States

due to lack of information at building worksites for the maintenance and repair personnel.

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Literature Review

  • Early Researches for data extraction
  • Use of Barcodes in Construction to extract

location information of objects

  • Radio Frequency Identification (RFID) tags
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Literature Review

  • Laser Scanners or Light Detection And

Ranging (LiDAR)

  • Advantages:
  • High measurement density and accuracy
  • Fast data acquisition
  • Canopy penetration
  • Photogrammetry
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Literature Review

  • BIM for Existing Buildings
  • Researches have investigated Automated 3D

geometric modeling of buildings using a laser scanner to create as-built BIM

  • Process is divided into 3 stages:
  • Data acquisition
  • Data preprocessing
  • Creating BIM Model
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Literature Review

  • Extraction of geometric features
  • Knowledge based
  • Automatic reconstruction of as-built BIM
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  • Non-geometric Features
  • Vision-based material recognition for

automated monitoring of construction progress

  • Automatic thermographic & RGB texture of

as-built BIM

Literature Review

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Conclusions & Future Thoughts

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References

[1]

  • S. Taneja, B. Akinci, j. Garrett, L. Soibelman, E. Ergen, A. Pradhan, P. Tang, M. Berges, G. Atasoy, X. Liu, S. M. Shahanashti and E. B. Anil, "Sensing and Field Data Capture for Construction

and Facility Operations," Journal of Construction Engineering and Management, vol. 137, pp. 870-881, 2011. [2]

  • P. Tang, D. Huber, B. Akinci, R. Lipman, A. Lytle, "Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques,"

Automation in Construction, vol. 19, no. 7, p. 829–843, 2010. [3]

  • L. Klein, N. Li and B. Becerik-Gerber, "Imaged-based verification of as-built documentation of operational buildings," Automation in Construction, vol. 21, pp. 161-171, 2012.

[4] Gallaher, M. P., O’Connor, A. C., Dettbarn, J. L., Jr., and Gilday, L. T., "Cost analysis of inadequate interoperability in the U.S. Capital facilities industry," U.S. Department of Commerce, Washington, DC, 2004. [5]

  • C. Eastman, P. Teicholz, R. Sacks and K. Liston, BIM Handbook - a guide to building information modeling for owners, managers, designers, engineers and contractors, Hoboken: Wiley,

2011. [6]

  • B. Becerik-Gerber, F. Jazizadeh, N. Li and G. Calis, "Application Areas and Data Requirements for BIM-Enabeled Facilities Management," Journal of Construction and Engineering

Management, no. 138, pp. 431-442, 2012. [7]

  • Y. Arayici, "Towards building information modelling for existing structures," Structural Survey, vol. 26, no. 3, pp. 210-222, 2008.

[8]

  • J. Jung, S. Hong, S. Jeong, S. Kim, H. Cho, S. Hong and J. Heo, "Productive modeling for development of as-built BIM of existing indoor structures," Automation in Construction, vol. 42, pp.

68-77, 2014. [9]

  • A. Dimitrov and M. Golparvar-Fard, "Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered

site image collections," Advanced Engineering Informatics, vol. 28, no. 1, pp. 37-49, 2014. [10]

  • T. M. Lillesand, R. W. Kiefer and J. W. Chipman, Remote Sensing and Image Interpretation, Hoboken: Wiley, 2008.

[11]

  • T. Blaschke, "Object based image analysis for remote sensing," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 65, no. 1, p. 2–16, 2010.

[12]

  • P. M. Teicholz, BIM for Facility Managers, Hoboken: Wiley, 2013.

[13] NIBS, "buildingSMARTalliance, National BIM Standard," National Institute of Building Science, United States, Version 1, 2007. [14] "Charter for the National Building Information Model (BIM) Standard," 2005. [15]

  • R. Volk, J. Stengel and F. Schultmann, "Building Information Modeling (BIM) for existing buildings — Literature review and future needs," Automation in Construction, vol. 38, pp. 109-127,

2014. [16]

  • J. Markley, J. Stutzman, E. Harris, "Hybridization of Photogrammetry and Laser Scanning Technology for As-Built 3D CAD Models," in Aerospace Conference, Big Sky, MT, 2008.

[17]

  • G. Gerlach and H. Budzier, Thermal Infrared Sensors : Theory, Optimization and Practice, Hoboken: Wiley, 2010.

[18]

  • M. Hill, The Business Value of BIM for Construction in Major Global Markets, McGraw Hill Construction, 2014.

[19]

  • D. E. Gilsinn, G. S. Cheok and D. P. O'Leary, "Reconstructing images of barcodes for construction site object recognition," Automation in Construction, vol. 13, no. 1, pp. 21-35, 2004.

[20]

  • A. Motamedi, M. M. Soltani and A. Hammad, "Localization of RFID-equipped assets during the operation phase of facilities," Advanced Engineering Informatics, vol. 27, no. 4, p. 566–579,

2013. [21]

  • E. Ergen, B. Akinci and B. East, "Tracking Components and Maintenance History within a Facility Utilizing Radio Frequency Identification Technology," Journal of Computing in Civil

Engineering, vol. 21, no. 1, pp. 11-20, 2007. [22]

  • L. Bruca, J. P. Douglas and T. Sorensen, Space operations: mission management, technologies, and current applications, Reston, VA, USA: American Institute of Aeronautics and

Astronautics , 2007. [23]

  • J. Armesto, I. Lubowiecka, C. Ordóñez and F. I. Rial, "FEM modeling of structures based on close range digital photogrammetry," Automation in Construction, vol. 18, no. 5, pp. 559-569,

2009. [24]

  • S. El-Omari and O. Moselhi, "Integrating 3D laser scanning and photogrammetry for progress measurement of construction work," Automation in Construction, vol. 18, no. 1, pp. 1-9, 2008.

[25]

  • S. Pu and G. Vosselman, "Knowledge based reconstruction of building models from terrestrial laser scanning data," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 64, no. 6,
  • pp. 575-584, 2009.
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Questions

Thank you for listening