Thinking beyond today with Building Information Modelling ...sti4shs.co.za/sites/default/files/events... · Building Information Modelling “BIM (Building Information Modelling)
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Thinking Beyond Today
Building Information Modelling:
Opportunities in Housing
Mandla Dlamini and Gingi Khoza
CSIR Built Environment
2
Presentation Outline
1. Building Information Modelling
Defined.
2. Self-Help/Self Built Housing.
3. How BIM can be used in Self-Help
Housing?
4. Conclusions and Recommendations.
3
Building Information Modelling
“BIM (Building Information
Modelling) is an intelligent
3D model-based process
that gives architecture,
engineering, and
construction (AEC)
professionals the insight and
tools to more efficiently plan,
design, construct, and
manage buildings and
infrastructure”
4
BIM Software Applications
BIM Software Applications
• Autodesk Revit
• Archicad
• Rhino-BIM
New professions in the Built
Environment
1. Building information modeller
2. BIM managers
Formation of BIM professional
Bodies: SA BIM institute est. 2014
5
Scale in which BIM is applied
Used successfully in large complex
building projects:
Notable examples are:
a) One freedom tower-New York, USA
B) Burj Khalifa- Dubai, UAE
Can BIM benefit “small” scale construction works such as house building.
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What’s so special about BIM?
1. Modelling in 3 dimensions is more
intuitive, easier to understand.
2. Data
*
-Storage
-Processing
-Extraction
-Automation
-Presentation
3. If skilfully implemented it can make the building
process much easier. Reported Efficiency
improvements: a factor of 3-5.
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Data Processing, Manipulation
Open Virtual Hardware Store Data Structure
1. Revit Refers to building
components or materials as
“Families”.
Computational capability
Inbuilt Functionality- Automated
schedules.
Writing and running dynamo
scripts.
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Some Statistics on Housing
1. High demand. Johannesburg IDP survey, 5 out 7 regions
identified housing as the top priority need. (2017 integrated
development plan COJ).
2. Reported “600 000+ RDP housing unit backlog for Gauteng, 2.3
Million Units Nationally.
3. Massive population growth expected, GP expected to have a
population of 20-24 million inhabitants by 2050. (Landau, 2008).
4. Informal housing accounts for approximately 19% of all dwellings in
the province. (Statistics South Africa, 2016).
5. Self Built units account for very small proportion of total housing.
Less than 1% of State provided housing has been delivered by self
builders (Napier, 2003)
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Pro’s and Cons of Self Building
Pro’s
Landman and Napier (2009) report the following benefits to self-building:
• Generally larger housing design to meet individual household needs
• Choice, creativity and community involvement
• Citizenship and pride
• Empowerment and participation
• Individual choice
• High levels of beneficiary suitability.
Cons
• Difficult due to regulation
• Quality is highly variable
• Professional services
required
• No benefits from
“economies of scale”
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Inputs to a BIM for Self-Built Housing
SANS
Standards
on Building
Materials
Architects EngineersQuantity
Surveryors
National Building Regulations
Professional Bodies (SACAP,
ECSA etc...)
Competent
Persons/
BIM
Modeller
Certified Home
Builders
Local
Hardware
Vendors
Well
Structured
Building
Information
Model
NHBRC
Local
Labour
Practices/
Capability
Self
Builder
Needs
Pre-Existing
House
Archetypes
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Building information modelling: Materials
How BIM can assist Material Selection for the Self Builder
1. Building Materials
a) Tailored for local conditions.
b) Underlying technical material data as opposed to brand
data
c) Optimised use of materials.
d) Accurate data for material choices from the model.
e) With data comes choice. Client is empowered to make
decisions using their own criteria.
CEMENT*
Technical Classifications
a) 5 composition Classes
(Cem I – Cem V)- (FA,
GGBS, Pozzolans etc.)
b) 2 hardening classes (R
and N)
c) 3- Strength Grades
(32.5 MPa, 42.5 MPa,
52.5 MPa).
Market
30+ Cement variants.
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Building Information Modelling: Contracting/Labour
Services
How BIM can enable fair contracts between self-builders
and contractors/Labour.
a) Tailored for local conditions.
b) Local labour data used in computations.
c) With data comes choice. Client is empowered to make
decisions using their own criteria.
Concreting*
Classifications
a) Mixed on Site Service
b) Ready-mix
BIM can provide the
Quantities necessary.
Accurate data enables fair
pay for work.
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The BIM porcess
Data on local Building practices
Local Building Materials
Virtual Library
Family Modelling and Assigning real building element data to bim families and libraries
Building Information Model
Building Modelling
Construction Drawings and
Blue Prints
Specifications
Analysis1. Cost2. Time
3. User defined Paremeters
Data Extraction, Analysis and presentation
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Potential of BIM for Self Builders
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Conclusions and Recommendations
Conclusions
1. The implementation of BIM requires built environment professionals to embrace it.
2. The of BIM include,
a) Automation of some tasks resulting in higher efficiency.
b) Accurate data, resulting in the ability to make better choices for both professionals and self-builders.
c) Intuitive and user friendly presentation of data.
Recommendations
1. Encourage the integrated development of Building Information Models among built Environment Professions for professional services in housing.
2. Capacitation of Built Environment professionals in information technology. Information technology skills are critical for the efficient use of BIM.
Thanks.
Questions?
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