Hale Street Link Associated Project
Project Summary
Road reconstruction and improvements 
associated with the Hale Street Link Project from Peel Street to Vulture Street, 
along Merivale and Cordelia Street in South Brisbane. Service co-ordination and 
impact assessment was required for all underground services.
The Challenge
Existing underground services had to be identified, and service covers compared 
with existing crowns to NSL (including designed FSL). After survey, CTTV of BCC 
stormwater and Dial Before You Dig information was gathered, as well as service 
locators for pot holed services at regular 20-40m intervals in the work area of 
2-3km of road, over 1km2 in busy South Brisbane.
Identification of critical services (age, depths, and condition) was required 
for BCC and service authorities to determine relocation costs in advance of road 
works. As a result, it was necessary to compare any relocation costs estimated 
by authorities’ versus redesigning, to avoid excessive costs.
After trialling initial manual methods, considering time restraints, the size of 
area, number of services within the area and manual work required, while 
reducing manual human errors, a better automated method was required.
The Solution
Designers used 12d Model software to 3D model all actual services in location, 
depths sizes, and number of conduits to allow for assessment of critical covers 
and impacts with existing services and proposed works.
A 12d macro solution was developed to identify, label and report existing 
critical crown depths (AHD) for services to NSL (>0.6-0.75m cover adopted) which 
also included a comparison to the proposed design FSL. An input of left and 
right corridor search distance width allowed one control line chainage 
reference. This meant that each depthed vertices/fitting could be identified in 
coordinates, chainage, and the change in height from NSL and design FSL, whether 
positive or negative.
The Work Area was 
divided in to four areas of manageable sizes. A unique naming, labelling and 
identifying system was required for each service string/model and node/vertex by 
a numbering and prefix ID, using an automated labelling attributes macro, prior 
to running the main service depth macro.
A 
report was computated with each potholed vertex for depths of services, MH, pit 
corners, water values, metrer, fire hydrants, gas valves, etc., so that each 
node could be identified in coordinates with the change in height to the design 
FSL. 
Reports for all service information 
were collated with data sorts in Excel tables to display on individual service 
plans, showing 50mm depth range polygon differences for a visual image of NSL to 
FSL changes. This allowed quick identification of problem areas with each 
service, assisting project managers and service authorities to identify 
relocations required, with confirmation of existing and design cover.
Being armed with detailed information on existing service covers, including the 
proposed design FSL, allowed easier communication with authorities, including 
boldly requesting funding for relocation of existing shallow services, saving 
both BCC and ratepayers money, and authorities investigation and assessment 
decision time, hence further reducing costs and expected delays with any service 
works and programming.
One drawback was 
sorting too much information if gathered at once, initially with too many 
symbols, if all checking macro elements were used at once for multiple services. 
Hence adopting a model naming convention and running with one service at a time 
was found to be best.
The Result
The final product was a comprehensive assessment of all services, critical 
depths allowing determination of the effects of existing and proposed design 
cover with limited manual calculations. These plans allowed assessment and 
decisions to be made for service authorities, and client and project managers to 
make decisions on design and redesign due to service relocation costs. Plans 
were also used in estimating and allowing BCC and service authorities to make 
quicker impact decisions for their own as-constructed assets prior to works 
(special thanks for program works by Peter Murray of BCC).
                                                            
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