Download Presentation (1.7 MB)
Concrete curing is a comprehensive construction activity that varies in duration and is critical to the quality and strength of the material when it hardens. An essential challenge of this activity is to choose the appropriate curing and testing methods for a wide assortment of concrete designs because the material is affected by multiple factors (e.g., temperature and moisture) and requires the collaboration of workers, engineers, and inspectors. This research proposes to explore the influencing factors and create a data model to describe the relationships of the factors, which can help project teams to understand the key elements of concrete curing and enhance the quality control of the construction activity. In this research, a questionnaire survey was designed, reviewed, and approved to collect the information from the departments of transportation in the U.S. and Canada with the purpose to understand the current curing practice of on-site concrete. The survey was delivered and managed using an online tool called Qualtrics and the received data was analyzed using an exploratory structural equation modeling (SEM) method. The analysis will reveal the underlying factors that cause patterns and also study indicators or actors to explain these factors. Next, a SEM will be built to assess the latent variables that cannot be observed but rather inferred based on prevailing factors and group these factors into sections based on their characteristics. After the model formation, the research will examine Cronbach's alpha to estimate the internal consistency of the identified factors and generalize the results.
Awaitey, John, "Exploratory Structural Equation Modeling Of Influencing Factors For Concrete Curing" (2021). Technology. 1.