ANLY482 AY2017-18T2 Group02 Project Overview

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Project Overview

Findings & Insights

Documentation

Reflection

Arup Singapore is involved the planning and construction of the Downtown Line phase 3. Prior to construction, Arup has put in extensive efforts to predict the design of the train stations and tunneling, accounting for geological and building information.

With the recent opening of the Downtown line to public, it is timely to review the as-built plans and explain the differences from the prediction stage. This will help Arup close the loop from the planning phase to the end result.

The Impact

Findings from the project will be valuable for Arup when engaging on similar engineering projects in the future, including the upcoming Thomson-East Coast Line.

The main objective of this project is to find out ...

What implications does this project have?

a. Summarize the findings and insights from the project.

b. Can machine learning really be a substitute for calculation and engineering knowledge? If not, can it at least serve as an assistant or error-catcher?

Supervisor: Prof. Kam Tin Seong

Sponsor: Arup Singapore Pte. Ltd - Chris Deakin: Rail Leader, Digital Engineering Leader

Students: Friedemann & Josh