Data-Driven Decision-Making Methods for Improved Design, Fabrication, Construction and Deconstruction of Steel Structures

Start Date: September 2022

Duration: 5 Years

The main objective of this project is to develop data-driven methods for decision-making support in order to enhance safety, quality, cost-efficiency, sustainability, and productivity in the steel construction industry. The specific objectives of this project are to: (1) Understand the steel design, fabrication, erection and repair workflows; (2) Develop simulation models of steel design, fabrication, erection, repair, demolition and deconstruction in collaboration with industry professionals through data collection from the industry and supplementary models ; (3) Develop automated decision-making methods for design, fabrication, erection, repair, demolition and deconstruction of structural steel; and (4) Propose recommendation for implementing the developed methods into steel industry workflows (design engineers, project managers and operations personnel) to allow better collaboration and data exchange among project stakeholders.

research team

funding sources


industry partners

Collins Steel, Supreme Steel, WF Steel & Crane, TSE Steel, CW Carry, STEADFAST Engineering, DIALOG, S-Frame, IDEA StatiCa, Building Point, Niik Group, CISC, CWB

cic research focus areas