Multi-story Building in an Extraordinary Terrain

Deterioration and failure processes play a key role in determining the life-cycle performance of civil engineering systems. As systems degrade over time, maintenance interventions are required to maintain functionality, whilst influencing service quality as well as environmental and economic life-cycle costs. Addressing these aspects early in the design phase prevents resource consuming maintenance planning over the course of a systems lifetime.

In complex systems, individual components deteriorate at different rates and are often interdependent, meaning that maintenance actions cannot be planned independently. This project focuses on integrating the life-cycle models of multiple components to analyze coordinated maintenance strategies and their system-level impacts. The ultimate goal is to develop a holistic maintenance plan that balances service level and life-cycle costs using optimization and multi-criteria decision-making approaches.

This project focused on the integrated maintenance planning of a complex civil system of a Multi-story precast building constructed on a special terrain with requirement of two types of retaining walls, analytically analyzes integrated maintenance strategies to determine the best performing strategy, in terms of reducing total interruption time of the systems functionality, and maximizing time between consecutive maintenance actions to limit disruption.

The analysis is done by first creating an integration context between different maintenance actions, then using a computational optimization model to test four suggested maintenance scenarios in an alternative design space created and define the parameters used to find the optimal options. Next, Life Cycle Analysis was performed to evaluate each scenario’s results under the consideration environmental performance, along with their performance towards maintenance overall cost. Finally, a discussion is carried out to summarize and compare the four maintenance scenarios performance, along with the limitations of this study.

To download R script, check the appendix page.

System Definition & Integration Context >>

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Group Members

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