BIM.2.1
Analysis and Reflection on BIM-enabled Solutions and Practices: Case Study of Crossrail
Project.
Name : Dara Easwar Karthik
ID Number : w1904969
Module : Building Information Modeling Management, Theory and Practice.
Module Code : KB7034.
Coursework Title : BIM-Enabled project case study report.
Department of Mechanical and Construction Engineering
Northumbria University, Newcastle upon Tyne, NE18ST, United Kingdom
Abstract
This report presents an analysis of the GBP14.8 billion Crossrail project, undertaken in the UK
by Crossrail Ltd and sponsored by Department for Transport and Transport for London in terms
of the application of BIM-enabled solutions in addressing the key issues faced in the project and
the lessons learned. The report identifies data storage and accessibility issues, engineering
accuracy problems, data visualization challenges, and interoperability as the top challenges
faced in the project. Thanks to BIM-enabled solutions that enable the project to be a success
although some challenges were still experienced, including cost overruns and delays in
completion of the project. The lessons that can be learned from this include encouraging the
training of workers and contractors on use BIM technology before they allowed to employ the
technology, employing tablet applications on work site to enable site inspection and progress
assessment, and need to address compatibility issues between BIM client and contractors so
that the use of the technology can be seamless and enable achievement of the objectives of the
technology. The report has also reflected on key elements of BIM technology that seems to
have been employed in the project in light of the existing literature, including 2D, 3D, 4D, and
5D models.
Contents
Abstract ................................................................................................................................. 2
1.0 Introduction ...................................................................................................................... 4
2.0 Analysis ........................................................................................................................... 4
2.1 Background of the case study........................................................................................ 4
2.2 BIM technology ............................................................................................................. 5
2.3 Key project challenges .................................................................................................. 6
2.3.1 Data storage and accessibility ................................................................................. 6
2.3.2 Geographically accurate data .................................................................................. 7
2.3.3 Data visualization ................................................................................................... 7
2.3.4 Interoperability ........................................................................................................ 7
2.4 BIM-enable solutions..................................................................................................... 8
2.4.1 Addressing data storage and accessibility challenges .............................................. 8
2.4.2 Addressing geographical data accuracy issues ........................................................ 8
2.4.3 Addressing data visualization challenges ................................................................. 9
2.4.4 Addressing interoperability challenges ................................................................... 10
2.5 Learned lessons ......................................................................................................... 11
3.0 Reflection....................................................................................................................... 11
4.0 Conclusion ..................................................................................................................... 13
References .......................................................................................................................... 14
Appendixes: Crossrail client and delivery partners (Source; Dodgson et al., 2015). ................. 16
1.0 Introduction
Building Information Modelling (BIM) is a one of the recent technology that is gaining a lot of
attention in the Architectural Engineering and Construction (AEC) industry, which seeks to
overcome challenges faced in the AEC context and enhance and streamline the key processes
involved to improve project success. In line with this, this report seeks to achieve two key
objectives. First, the report seeks to identify and critically discuss one of the case studies where
BIM-enabled solutions have been employed within the AEC context and identify the key project
challenges, evaluate BIM-enabled solutions to these challenges and present precise lessons
that can be learned from this project for future reference. The second objective of this report is
to present a reflection of the key elements of BIM-enabled project delivery practice that have
been employed in the selected case study in line with current and salient academic literature
from the subject’s knowledge. The selected case study in this case is the Crossrail project.
The report is structured into two key parts. Part one of the report introduces the case study and
presents a detailed analysis of the key challenges that the Crossrail project faced and how the
implementation of BIM technology has enabled the Crossrail Ltd to address the challenges and
the lessons that can be learned from the application of the technology for future use. Part two of
the report presents a critical reflection of the key elements of BIM-technology employed in the
Crossrail project in line with existing literature about BIM-technology. The report ends with a
conclusion based on the results from the above key parts.
2.0 Analysis
2.1 Background of the case study
Crossrail project is a railway construction project that was initially valued at GBP14.8 billion that
started officially in 2008 following the passing of the Crossrail Act 2008 but the cost has
significantly increased since then reaching about 18 billion in 2019 (Farrel and Topham, 2019).
However, the conceptualization of the project was started in 1974 (Smith, 2014). The new
railway project is about 118 kilometres long stretching from Shenfield and Abbey W ood through
central London to Reading and Heathrow. As part of the construction of the project are 32
stations and 42 kilometres of the tunnel (Dodgson et al., 2015). The project is sponsored by the
Department for Transport (DfT) and Transport for London (TfL) and Crossrail Ltd is the special-
purpose company that was created to specifically design, implement and commission the
project (See Appendix 1). The implementation of this project is expected to increase the
London’s rail-based capacity by 10%, bringing about 1.5 million people within a 45-minute
commute from London’s major commercial districts (Dodgson et al., 2015). Most importantly,
this a large and complex project that involves interrelated projects that have to be integrated to
develop the new railway system. This involves ensuring that the new railway system is
integrated with the existing underground and overground rail network systems in addition to
developing the new stations. This case study is selected because there is a huge volume of
information about the implementation of BIM-technology in the project that is available from the
company website as well as from literature, which makes it possible for the researcher to
achieve the aims of the report. For instance, in 2017, Crossrail.co.uk (2017) release the report
titled "Crossrail BIM Principles", which presents clear and detailed information of why the
implementation of BIM technology in the project is important and how they are implementing the
technology. The implementation of BIM technology in the project has also been discussed by
researchers such as Smith (2014) and Ahmad (2017) among many others discussed in this
report, which means a lot can be learned from this project for future reference.
Figure.1 Route Map of Cross rail
Source: Overview; What is Cross rail
2.2 BIM technology
BIM is defined by Bensalah et al. (2019) as “a digital and graphic representation of the physical
and functional characteristics of a structure”. Crossrail.co.uk (2017 defined it as “the process of
generating and managing information throughout the whole life of the asset by using model-
based technologies linked to databases of reliable information”. In other words, BIM technology
seeks to provide a shared knowledge resource for facility information that affords a crucial
foundation for making key decisions in complex projects over the project lifecycle right from
project initiation, designing, planning, evaluation, construction, the operation to project
demolition (Migilinskas et al., 2013). According to Taylor (2017), the BIM environment was
originally pioneered by land surveyors who established a broad Geographic Information System
(GIS) in the 1990s. Since then, the technology has evolved and gained a lot of attention among
scholars and practitioners seeking to address major challenges commonly found in mega and
complex projects, especially in the AEC industry, which are discussed in details in this report as
follows;
Figure.2 BIM Technology in Cross rail Project
Source: BIM in Cross rail
2.3Key project challenges
2.3.1 Data storage and accessibility
Data storage and accessibility are one of the key challenges that megaprojects tend to face,
especially when there are many stakeholders with different information systems and needs. This
is a key challenge faced in the Crossrail project due to a large number of stakeholders involved
and different information that was needed to make crucial decisions on time. For instance,
Taylor (2017) noted that there were over 8250 users of the information database, over 450,000
drawings and over 5 million documents. Without a common database, access to the right
information at the right time would have been difficult in this project owing to its complexity. Irwin
and Tamash (2016) noted that all geospatial data related to the project needed to be centrally
stored, managed and distributed to enable the natural collaboration between all key contractors
and other stakeholders to occur with only minimal time required. Most important, the information
had to be made available to not only those in central offices but also those on the construction
site, including primary contractors to the right information at the right time and avoid confusion
and potential wrong decisions at the site levels, which could result in accidents and injuries or
delays in key activities.
2.3.2 Geographically accurate data
Another key challenge faced by mega construction projects is the lack of accurate geographical
data required to make key decisions on the projects. This was a challenge that the Crossrail
project could not avoid because the project was taking place within and around a megacity,
London (Crossrail.co.uk, 2017). In particular, the knowledge of the exact location of nearby
buildings and other infrastructure was crucial since the project involved underground and
overground constructions within and around the city, which demanded a high level of
engineering accuracy not previously seen. Irwin and Tamash (2016) noted that the construction
of the underground railway systems needed to fall within acceptable engineering tolerances.
2.3.3 Data visualization
Data visualisation is a crucial aspect in the AEC context where the project is very complex,
especially during design, planning, execution and post-project analysis phases (Zeb et al.,
2008). Due to the complexity evident in the Crossrail project, including new stations,
underground and overground constructions, data visualisation was very crucial over the entire
project life, which plays a key role in saving costs and reducing risk on the project. Most
important, Crossrail.co.uk (2017) noted that data visualisation could assist in building
confidence in design, construction and operational costs and facilitate in making of crucial
decisions, including monitoring and controlling the project, which could be a bit more difficult
without data visualisation owing to the complexity of the project.
2.3.4 Interoperability
Interoperability is concerned with the exchange of information between different information
systems, which was a fundamental shift in the delivery of the Crossrail project owing to the
many stakeholders involved in the project. This was a key challenge in the project because
historically projects have faced a key challenge in integrating Electronic CAD Management
System (ECMS) and other systems such as GIS as noted by Irwin and Tamash (2016). Djuedja
et al. (2019) identified several interoperability problems associated with the application of BIM
technology, which included translation or coverage issues, very large size models and many
tools dealing with different kinds of information. Addressing these problems was very crucial in
ensuring that the Crossrail project was a success. Farghaly et al. (2018) noted that failure to
ensure interoperability could impair the effective process of extracting, storing, managing,
integrating and distributing the right information to the right people.
2.4 BIM-enable solutions
2.4.1 Addressing data storage and accessibilitychallenges
The data storage in the Crossrail project was not centralized or held in a single information
repository, rather much of the information was held in business-specific systems, which included
Land Registry Systems, and the Electronic Document Management Systems (EDMS) among
others. Most importantly, these data had to adhere to a common data architecture, which was
developed by Open Geospatial Consortium (OGC) and adopted in the project. This ensured that
all information between different systems were standardized and could easily be shared and
distributed across all the key stakeholders. Accessibility to this information was achieved by the
development of a Master Data Model (MDM), which had links to all information created by the
project to one of several key identifiers. Most importantly, this was managed centrally but no
single stakeholder could change the content in the MDM without informing and getting approval
from other stakeholders, thereby ensuring consistency across all linked information systems
(Irwin and Tamash, 2016). Moreover, this ensured that information loss is reduced throughout
the project including between project phases (Crossrail.co.uk, 2017). Interestingly, several tablet
applications, including Bentley Field Supervisor App and Augmented Reality (AR) apps were
developed to facilitate the implementation of the BIM initiatives at the site level by enabling
supervisors and others stakeholders to access the BIM data on the worksites (Smith, 2014).
According to Crossrail.co.uk (2017), this was crucial as to helped ensure the supervisors and
others had access to all information they needed on real-time, thereby helping supervisors to
capture information at the worksites and pass it electronically to the central office to enable
assessment construction progress and evaluations. Smith (2014) noted that this helped avoid
errors and delays associated with manual transfer of information in the AEC context.
2.4.2 Addressing geographical data accuracy issues
In addressing geographical data accuracy issues, a system was developed in the 1990s by the
UK National Coordinate System, Ordnance Survey National Grid, to enhance the engineering
accuracy needed in the Crossrail project. However, the system was not accurate enough due to
Earth surface curvature, which led to distortions of up to 200mm per kilometre travelled (Irwin
and Tamash, 2016). To improve the accuracy further, a new coordinate system was needed to
mitigate the grid distortion within the project area, with the accuracy increasing to 1mm
distortion per kilometre travelled, which is commendable.Adoption BIM-enabled solutions such
as Crossrail CAD Standard ensured that the project information was developed within a real-
world context, thereby improving the decisions made from such information (Irwin and Tamash,
2016).
2.4.3 Addressing data visualization challenges
While the concept of data visualisation and 3D technology was not new in the Crossrail project
since 1995, the introduction of BIM technologies improved the capabilities of these technologies
by enabling them to be used by a much greater number of users (Taylor, 2017). The success of
this in the Crossrail project is because of MDM, which ensured consistent and up-to-date
versions of the information was accessible across different areas of the project simultaneously.
This was so crucial since it resulted in increased collaboration between the different
stakeholders in the project(Migilinskas et al., 2013). Moreover, Crossrail.co.uk (2017) noted that
the application of 3D visualisation in the BIM technology provided rich database required for
designing the structural aspects of the projects and supporting the execution of the
project.Smith (2014) claims it enabled them to save about 8-18% of the design fees.Besides,
integration of 4D technology with the 3D model brought new capabilities that enabled the project
managers and others to integrate schedule with the 3D visualization, thereby reducing
constructions risks by enabling reviewing of complex details or procedures before going on-site
(Crossrail.co.uk, 2017). However, Smith (2014) noted that the implementation of BIM-enabled
solutions such as 4D and 3D model presented a key risk to the project due to a shortage of
personnel with required BIM skills. As a result, a BIM Academy had to be launched in 2012
jointly by Crossrail and Bentley to afford free hands-on training to all relevant stakeholders
involved in the project (Smith, 2014).
Figure.3 BIM Challenges in Cross rail projects
Source: Cross rail case study.
2.4.4 Addressing interoperability challenges
In addressing the interoperability challenges evident in the project, Crossrail Ltd had to
measures that enable housing of all the interoperable data. This was made possible in the
project through the development of an enterprise Relational Database Management System
(RDBMS). Different versions of the RDBMS were developed but Crossrail Ltd chose Oracle
Spatial because it was regarded as a most scalable and robust system, thereby enabling
storage of both 2D and 3D geometries among other systems (Irwin and Tamash, 2016).
Crossrail.co.uk (2017) noted that the goal of this was to ensure data transfer process did not
lead to loss or corruption of the information and that the right information was made available to
the right persons. Despite the attempt to address interoperability problems, there were still
challenges faced due to compatibility issues between the BIM model and third party software
systems. For example, Smith (2014) noted that suppliers of fabrications required for the
construction of the railway faced some challenges in fabricating and manufacturing parts due to
inability transfer the design information accurately from the design applications into
manufacturing and fabrication systems, forcing many constructors to develop their own systems
that can extract data from the BIM model and use it to populate their fabrication and
manufacturing systems. This ensured items made are of higher quality than possible if done on
the site (Constructionnews.co.uk, 2013).
2.5 Learned lessons
Several lessons can be learned from the above Crossrail project case study. First, the case
demonstrates that the application of BIM technology requires an organization and contractors
involved to have the right BIM technology skills to implement the technology successfully. Thus,
to avoid challenges faced at first during the implementation of BIM in the Crossrail project, the
organization should consider to fully train their employees and ensure contractors have right
BIM skills before the technology can be deployed. Secondly, the case study shows that it is
important to ensure compatibility of the BIM model technology and the contractors' systems to
ensure the BIM information can easily be applied in contractors’ systems accurately and without
losing any information, hence make it easier for the contractors to develop and manufacture
products that perfectly meet the site requirements. Thirdly, the case study shows that the BIM
initiatives can be exploited on the worksite by developing mobile applications, such as Field
Supervisor App and Augmented Reality (AR) apps, which can assist in providing supervisors
with the right information on real-time as well as capture the progress of the site work and send
the information to a central office for inspection and performance evaluation and decision
making.
3.0 Reflection
The BIM-enable technology employed in the Crossrail project is BIM Level 2. BIM Level 2 is
where the project is managed in a 3D environment held in separate discipline "BIM" tools with
attached data (Crossrail.co.uk, 2017). Besides, BIM Level 2 also involve the use of 4D
programme data and 5D model cost elements (Crossrail.co.uk, 2017).
In general, there are seven key elements in BIM technology (Brainlab.com, 2019). However,
only 5 of these key elements that seem to have been implemented in the development and
implementation of Crossrail BIM-enabled solutions. The first of theseelementsis the 1D (Digital
drawing board) in which information is gathered from the client about what kind of construction
structure should be constructed. This can be seen as the initial stage of the project lifecycle
where the original plan is drafted and documented based on the requirements by the clients. In
the Crossrail project, the initiation and planning of the project started during the 1990s and the
project implementation officiated in 2008 following the passing of the Crossrail Act 2008.
The second key element in BIM technology is the Second Dimension (2D), which involves
converting the planned construction project into a vector design. In particular, this involved the
drawing of the floor plans and wall elevations in the railway system construction. According to
Ogwueleka (2015), 2D is known for being an accurate representation of the engineering
graphic. Crossrail.co.uk (2017) mentioned that this was employed in several project sites to
effectively communicate current and planned construction progress. However, the main
challenge with the 2D model is that it was difficult to visualize the project over its lifecycle
(Ogwueleka, 2015). For this reason, 2D had to be improved to address these challenges and
enable the railway construction project to move to the next level of BIM-enabled solutions.
The third key element of BIM technology is the 3D, which is a model designed from the 2D plan
to develop a visualization of the space (Lin, 2014).Crossrail.co.uk (2017) notes that the 3D
model was employed in the project to achieve several things. First, the 3D model enabled
Crossrail Ltd to develop a computer-simulated environment that could be explored and
investigate to identify hazards in the project and form the basis for responding to them.
Secondly, Crossrail.co.uk (2017) noted that 3D could also be used in the validation of as-built,
spatial coordination and clash detection. This is echoed by Alizadehsalehi et al. (2017) who
argued that the implementation of the 3D model in construction projects can help designers,
workers and safety managers to reduce accidents and fatalities in the project site by helping
them to identify them in advance. Gumz and W elty (2014) noted that the application of this
technology in designing and planning of construction projects also helps reduce reworks and re-
planning since any issues could be addressed before they occur.
The fourth key element in BIM technology, known as the 4D, takes into account the time
concept of a project lifecycle. According to Brainlab.com (2019), it entails the processes of
streamlining the construction processes by taking into account when each of the parts in the
project will be required by visualizing it in the 3D model. Crossrail.co.uk (2017) claims that this
enabled them to link schedule with 3D models thereby providing visual validation of where a
proposed construction sequence is acceptable.
The fifth element of BIM applied is the 5D, which enables us to visualization the project design
in terms of the costs involved in each part of the project of its lifecycle. Crossrail.co.uk (2017)
also claimed that they had developed rules and standards that would ensure the 5D model
capability would be achieved in which cost-related information could be integrated into a
visualization of construction project requirements, including fabrications and parts required and
facilitate in cost estimations and decision making. However, of great concern is that despite this,
the cost of the project has continued to increase reaching GBP18 billion in 2019 ov er and above
initial budget, which raises concerns over the accuracy of the estimations (Farrell and Topham,
2019).
4.0 Conclusion
In conclusion, this report has analyzed the application of BIM technology in the Crossrail project
in terms of the challenges involved and BIM solutions employed to address them and what can
be learned from the application of the BIM-enabled solutions, including encouraging training
workers and contractors on use of BIM technology before they allowed to employ the
technology, developing tablet applications on work site to enable site inspection and progress
assessment, and need to address compatibility issues between BIM system of the client and
contractors’ systemsso that the use of the technology can be seamless and enable achievement
of the objectives of the project. The report has also reflected on key elements of BIM technology
that seems to have been employed in the project, including 2D, 3D, 4D, and 5D models and
how the role they played in light of existing literature. Thus, future projects should use BIM-
enabled technologies since they can reduce costs, reduce risks and increase the success rate
of the project. However, the concerns raised in this report should be considered before the
implementation of BIM solutions.
References
Ahmad, T. (2017) BIM Metrics. Retrieved from:
https://learninglegacy.crossrail.co.uk/documents/bim-metrics/
Alizadehsalehi, S., Asnafi, M., Yitmen, I., & Celik, T. (2017, June). UAS-BIM-based real-time
hazard identification and safety monitoring of construction projects. In 9th Nordic Conference on
Construction Economics and Organization 13-14 June 2017 at Chalmers University of
Technology, Göteborg, SWEDEN (Vol. 13, p. 22).
Bensalah, M., Elouadi, A., & Mharzi, H. (2019). Overview: the opportunity of BIM in
railway. Smart and Sustainable Built Environment.
Brainlab.com (2019) The 7 Elements of Building Information Modeling (BIM) for Integrated
Operating Room Construction Projects. Retrieved from: https://www.brainlab.com/journal/7-
elements-of-building-information-modeling-for-or-construction/
Constructionnews.co.uk (2013) In pictures: transport secretary visits Laing O’Rourke Steetley
factory. Retrieved from: https://www.constructionnews.co.uk/civils/contracts-civils/in-pictures-
transport-secretary-visits-laing-orourke-steetley-factory-10-12-2013/
Crossrail.co.uk (2017) Crossrail BIM Principles. Retrieved from:
https://learninglegacy.crossrail.co.uk/wp-content/uploads/2017/02/12F-002-03_Crossrail-BIM-
Principles_CR-XRL-Z3-RGN-CR001-50005-Revision-5.0.pdf
Djuedja, J. F. T., Karray, M. H., Foguem, B. K., Magniont, C., & Abanda, F. H. (2019).
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Practice, 77, 261-275.
Farghaly, K., Abanda, F. H., Vidalakis, C., & W ood, G. (2018). Taxonomy for BIM and asset
management semantic interoperability. Journal of Management in Engineering, 34(4),
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Farrell, S. and Topham, G. (2019) Crossrail faces further delays and will cost more than
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Appendixes: 1
Cross rail client and delivery partners
Source; Dodgson et al., 2015
Appendixes: 2
Cross rail Sponsors
Source; Dodgson et al., 2015
- Abstract
- 1.0 Introduction
- 2.0 Analysis
- 2.1 Background of the case study
- 2.2 BIM technology
- 2.3Key project challenges
- 2.3.1 Data storage and accessibility
- 2.3.2 Geographically accurate data
- 2.3.3 Data visualization
- 2.3.4 Interoperability
- 2.4 BIM-enable solutions
- 2.4.1 Addressing data storage and accessibilitychallenges
- 2.4.2 Addressing geographical data accuracy issues
- 2.4.3 Addressing data visualization challenges
- 2.4.4 Addressing interoperability challenges
- 2.5 Learned lessons
- 3.0 Reflection
- 4.0 Conclusion
- References
- Appendixes: 1
- Cross rail client and delivery partners
- Appendixes: 2