Date of Completion

Spring 5-1-2021

Thesis Advisor(s)

Jin Zhu

Honors Major

Civil Engineering


Civil Engineering | Construction Engineering and Management


The objective of this study is to build upon the framework of a meta-network approach to assessing vulnerabilities in construction projects. By viewing these complex environments as configurations of various nodes and links, it is possible to show the relationship between each entity in the project and the overall completion that is achieved from these connections. To expand upon previous studies, the vulnerabilities measured from this approach will be used to optimize the current network to eliminate any shortcoming in the project model. By investigating the congruence of different agents on the project, resources and informational nodes can be supplied through different project simulations to increase project completion by eliminating any potential vulnerabilities. The application of this optimization is shown through a case study related to an excavation project of the University of Connecticut’s Athletic District Development Project. This framework is applied to the dynamic interactions of this study and used to reduce any uncertainty that stems from inefficient resource distribution throughout the project. The application of this optimization model creates a useful tool for the construction management industry to plan projects and eliminate potential errors in scheduling and resource distribution from the earliest stages of a project’s life cycle.