Case Study: JPW Leverages Computational Design to Deliver Australia’s Largest Sustainable Commercial Tower(Bentley Systems)

 

 

Using OpenBuildings Designer’s Built-in GenerativeComponents® Optimizes Digital Workflows to Save Time and Costs

A Sustainable Urban Revitalization Initiative

As part of Western Sydney’s urban renewal initiative, the redevelopment of Parramatta Square will revitalize Australia’s second-oldest city center to create a vibrant, cosmopolitan precinct. The area will span three hectares and offer 290,000 square meters of premium office space and residential, retail, and civic facilities. At the heart of this urbanization effort are 6 & 8 Parramatta Square, with 8 Parramatta Square set to be Australia’s largest commercial tower at 55 stories and 243 meters in height. The AUD 600 million iconic project will broaden the city skyline and incorporate cutting-edge, sustainable, world-class design, reflecting the highest standards of global architecture. Award-winning architectural firm Johnson Pilton Walker (JPW) is the lead design firm collaborating with multiple engineering disciplines and consultants.

Located directly adjacent to a major railway station with limited road access, as well as situated in a flood zone close to the Parramatta River, the project required careful infrastructure planning and design to ensure that building and public domain were seamlessly integrated. In addition, local authorities imposed strict guidelines to address heritage context, solar access, energy efficiency, sustainability, flexible workspace, and pedestrian permeability. The large-scale building form, combined with an expedited timeline, presented a range of design and delivery challenges. To overcome these challenges and meet all project objectives, JPW implemented digital BIM solutions to streamline workflows and optimize design.

Advancing BIM through Computational Design

From the conceptual design stage, JPW relied on OpenBuildings Designer to model the basement, podium, and core according to traditional BIM principles. With much of the conceptual design already completed, the team realized the necessity and benefit of integrating computational design for the geometrically driven design aspects—including the façade, tower structure, and ceilings—to advance BIM and workflow efficiencies. “Typically, computational design is embedded into the project from the concept stage.

However, there are still huge efficiencies to be gained by introducing GenerativeComponents later in the documentation process,” explained Sarah Yap, computational design expert at JPW. To resolve differences between engineering and architectural workflows, JPW relied on the interoperability of Bentley’s OpenBuildings Designer’s built-in GenerativeComponents feature.

When developing the tower structure design, the interoperability of GenerativeComponents with Excel allowed interaction with the tabular structural engineering data for the floors, beams, and columns. The team could then use the conditional formatting features in Excel to load, check, and generate computational design models for the tower structure. Bentley’s computational design model could be driven by Excel to customize an accelerated and automated workflow for generative and coordination purposes. All the Excel data for the column height and beams was pulled and imported into OpenBuildings Designer to generate visual 3D models. For the floor slabs, JPW developed a recursive script in OpenBuildings Designer to individually model them, level by level, correctly identifying the placement of services as solids and color-coding them according to their respective discipline. The result was an automated output of a structural model for each floor comprised of the columns, beams, and slabs with all the correct service penetrations.

“The façade was another ideal area to incorporate the GenerativeComponents feature in OpenBuildings Designer,” stated Yap. To determine the best balance between new architecture, the surrounding heritage, and environment, JPW required iterative flexibility. The team generated multiple variations of the unique panels and fins, accommodating the changing panel radius and varying fin depths. The team used OpenBuildings Designer to generate a unique script that established a polygonal grid as an envelope. The grid encompassed the building where each polygon was parametrically modeled to simplify modification, as well as represented a panel type in the façade system. By creating an Excel spreadsheet that tied back to the OpenBuildings Designer script, JPW iterated over 8,000 panels across the façade. The team took each of the panels and applied them to the polygon envelope based on color, automating and accelerating the generation of a complete façade model.

This seamless compatibility made it realistic for JPW to model the ceilings to LOD 300, including the lighting fixtures and fittings. “Typically, modeling the ceilings to this level of detail on a project of this scale would be nearly impossible and certainly unusual. GenerativeComponents [in OpenBuildings Designer] made it realistic for us to fulfill this documentation requirement,” said Yap. The team used existing data for the façade boundary, columns, and core, subtracting them from the ceiling region to generate a script for the ceilings. Team members then sliced the ceiling model into tiles that corresponded to an Excel spreadsheet containing the lighting data. JPW used the color-coding method to reference the ceiling lighting layout for the multiple floors. A similar process was used to layout the HVAC diffusers, provided by the mechanical engineer through an IFC model.

Leveraging GenerativeComponents Drives Efficiencies

Leveraging the algorithm-driven features of OpenBuildings Designer enabled JPW to maximize data potential, developing scripts and performing parametric modeling to automate previously manual processes. The solution streamlined workflows for the tower structure, façade, and ceilings, enabling two people to design and generate data for more than 1,400 tower columns, 8,000 façade panels, and 179,000 ceiling tiles. Checking and updating the tower columns previously took one person one week; with OpenBuildings Designer, it was completed in one hour. JPW modeled all the façade panels in less than one hour, compared to two weeks using traditional methods; and one person updated and integrated changes to the façade mode in one day, compared to two people taking an entire week. Through iterative and automated scripting, the team quickly explored numerous options for shading and solar access to deliver an elegant, energy-efficient façade and comfortable indoor working environments.

Computational design methodologies have been integral to the detailed design development and documentation process of 6 & 8 Parramatta Square. Combining parametric and rule-based design optimized digital workflows while maintaining flexibility and rigor across the project. Bentley’s integrated design solution facilitated accurate building design, including input and changes from contractors. Modeling the objects familiarized JPW with the spatial implications that are important to architectural design. By integrating color-coding for visual differentiation and scripting failure mechanisms into the data flow, JPW automated design verification, replacing manual methods of error-checking and eliminating the risk of human error. Over the entire project period, JPW achieved significant time and cost savings, as well as optimized design outcomes to meet all planning and sustainability goals. The building will be efficient in terms of energy, waste, materials, indoor environment, and water. The building will have usable and inviting civic spaces, showcasing the next generation of green buildings of this size and scale.

Digital Twin Facilitates Design Coordination

JPW used OpenBuildings Designer to establish a connected data environment to facilitate integrated design by implementing a digital twin. Creating a digital twin was fundamental to understanding the project’s design and development. JPW relied heavily on digital data provided from all services and structural engineering consultants. Therefore, it needed to ensure that these models and their documentation methodology were aligned with the architecture. Using the digital twin as an architectural control model to reference multidiscipline data, JPW tested design alternatives to determine the architectural impact that enabled the resolution of complex spatial parameters and clashes. Working with the integrated 3D model allowed the architects to identify and timely resolve inconsistencies, mitigating any negative financial and architectural impact, and avoiding rework.

The digital twin helped JPW seamlessly and timely exchange data and models in formats accessible to all project participants. Bentley’s 3D digital application facilitated the generation of 2D drawings and documentation directly from the model, streamlining both office workflows and coordination processes between architects, contractors, and consultants. Using the digital twin from conceptual design through construction defined the collaborative methodology, helping arrive at a design solution that celebrates the architectural vision while meeting client requirements and the project’s ecologically sustainable goals. “Without the digital twin, the project would not be able to be delivered,” said Victor Au, architect with JPW.

Shifting Perspective on Architectural Design

Architects often spend a disproportionate amount of time trying to represent solutions rather than actually designing them. Computational design allowed JPW to focus on resolving problems and finding better design solutions to deliver 6 & 8 Parramatta Square. While scripting in OpenBuildings Designer was a time investment, within only eight months JPW realized the rewards, saving countless hours and significant costs. In the past, it would have been inconceivable to design from an Excel spreadsheet. However, the success of this project has shifted the perspective on design, encouraging JPW to adapt this solution on future projects, reaping the benefits and optimizing delivery. “Computational design empowers us to rethink our approach and, ultimately, the way that we design our architecture, shifting the way our studio thinks about our practice in the future,” said Yap.

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