User Case Study:
Engineering company improves project efficiency across the globe with Maplesoft calculation tools

This case study illustrates how international multi-service engineering companies use Maplesoft technology to overcome business challenges arising from the use of unstructured standard calculation methods and tools. Although the details have been changed and a pseudonym used to describe the company, the scenarios depicted are entirely consistent with how Maplesoft products are used.
In addition, the global licensing scheme offered by Maplesoft is cost-effective and lets engineers swap between different Maplesoft tools, depending on their needs and projects. Engineers can use licenses from a network installation for short term projects, or clusters of licenses can be moved from one server to another.
This case study explores some of the different ways GEC now uses Maplesoft technology across their diverse international groups.
The drive to nuclear power to minimize Europe’s dependence on natural gas has meant a UK-based structural group at GEC is now involved in long term nuclear projects that have a lifetime of 20-30 years.
Their previous calculation tool was Excel®. When Excel was in use, calculations had to be manually transcribed from Excel into Microsoft® Word to create reports, which was a cumbersome and error-prone process. If the parameters changed, engineers had to re-transcribe their results to update the report.
The team now uses Maple Flow™ for readable calculation reports with built in analyses involving structural concrete design that follows internationally recognized codes. They created a reusable library of section properties to assist their analyses. No manual transcription is required.
Because of the highly regulated nature of the work, calculations must be auditable and traceable for the length of the project (20 to 30 years). The Maple Flow documents combine calculations, visualizations, text, and images into a single document, so the engineering reasoning behind the calculations is clearly communicated, reducing the risk that knowledge will be lost when an engineer leaves the project. When a parameter is changed, all results are automatically updated in the document so there is no longer a need to manually update a separate calculation report. Some of their reports are more than 30 pages long and, in the past, have been time consuming to produce and keep up to date, but Maple Flow has reduced the time taken to prepare a calculation report by 75%.
Maple Flow is built on the world’s most powerful math engine, but it is also simple enough to be used in GEC’s civil design apprenticeship training program. Design apprentices are students who perform simple analysis tasks, such as calculating beam loads to European standards. Additionally, senior engineers can more easily check their work now that it is done in Maple Flow.
A Chinese bridge design group was using Excel for their design calculations, with a typical application being the design of a bridge deck girder. But Excel spreadsheets are difficult to debug and share, so the group opted to move their design calculations to Maple Flow. This change eliminated calculation errors entirely, as well as completely eliminating the manual process of transcribing calculations from Excel to Word for documentation. As a result, they increased the reliability of their calculations, and reduced calculation errors by 20%.
This group was trained by Maplesoft’s China-based engineers. During the training, they learned how to implement the dimensionally-inconsistent empirical equations from standard design codes in a dimensionally-aware environment, taking advantage of built-in support for units in Maple Flow.
The team’s analysis involves plotting, manipulating, and analyzing large data files. Maple ensures that the analysis is fast and memory efficient. In addition, automatic parallelism and multi-process programming tools mean that analyses can be distributed across all the cores of the local computer. Each multi-threaded Maple analysis computes 2 times faster than Excel, and 1.5 times faster than a Python script.
A co-group in the rail division also uses Maple to develop custom algorithms in the Maple language. Some of these algorithms are then exported to the C programming language using code generation tools in Maple, for incorporation into a third-party tool.
The group uses Maple Flow to first rough out and then formalize their technical ideas through progressive refinement of their math. Maple Flow supports this commonly used iterative approach to problem solving with its whiteboard-style environment, while also ensuring that the calculations are correct. As a bonus, Maple Flow provides comprehensive visualizations that lead to insights for the next iteration.
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