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Skip to Search Results- 12Machine learning
- 2BIM
- 2Data mining
- 2Modular construction
- 1 Mechanistic modelling
- 1Activity Durations
- 1Adegun, Ibironke
- 1Afaghi, Mohammad
- 1Barkokebas, Beda
- 1Chiteri, Martin
- 1Fan, Chengkai
- 1Kalke, Hayden E
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A framework for offsite construction manufacturing process improvement through digitalization and automated real-time data collection
DownloadFall 2022
This thesis proposes methods to apply real-time data to improve manufacturing operations in offsite construction using a combination of tools such as simulation, machine learning, and exploratory data analysis. These methods are applied to increase flexibility in operations and digitalize the...
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A Machine Learning Approach to Predict Production Time in Industrialized Building Construction
DownloadFall 2021
Industrialized building construction is an effective approach for improving the performance and management of construction projects by offering higher quality products, minimized environmental impacts, and improved schedule predictability. The industrialized building construction approach...
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Applying Machine Learning Techniques to Improving Truck Productivity Prediction Accuracy at Mine Sites
DownloadFall 2023
In oil sands mining, off-the-road trucks play a leading role in transporting bulk materials (ores and waste). The productivity of truck haulage (also referred to as truck productivity), defined as the truck payload per unit time in each truck haulage cycle, is of great interest to the mining...
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Fall 2024
Clash detection has been argued as one of the most beneficial BIM (Building Information Modelling) applications. However, the clash resolution process is still manually conducted and time-consuming, and BIM information is not fully utilized to facilitate automatic clash resolution. Previous...
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Fall 2018
Cash is the most important resource at the disposal of a construction company, and management of cash has a direct impact on long- and short-term company performance. Accurately predicting the amount of cash-flow expected from particular construction operations, however, remains challenging due...
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Development and Applications of Mechanics- and Data-based Capacity Models for Intact/Corroded Prestressed Concrete Bridge Girders
DownloadFall 2022
Prestressed concrete (PC) highway bridges represent an integral part of the transportation network and contribute significantly to socio-economic development. However, highway bridges are susceptible to Deterioration and thus exhibit structural deficiency after years of service, especially in the...
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Effect of Purge Gas Flow Rate and Oxygen Impurity on Heel build-up and Prediction of Heel build-up Using Machine Learning
DownloadFall 2021
Heel buildup, i.e., the accumulation of non-desorbed/non-desorbable adsorbates and their by-products on an adsorbent, during cyclic adsorption/regeneration of volatile organic compounds (VOCs) onto activated carbon decreases its adsorption capacity and lifetime. In this this study, the effect of...
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Fall 2019
A rock burst refers to a sudden collapse and outburst of rocks mostly from the surface of underground excavations. As one of the most serious geological disasters, rock bursts have killed hundreds of miners and injured more. A problem that remains to be solved in rock engineering is to predict an...
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Methodologies in Mechanistic and Machine Learning Modelling of Nitrous Oxide Emissions from Wastewater Treatment Processes
DownloadFall 2024
Nitrous oxide (N2O), a potent greenhouse gas, significantly contributes to the carbon footprint of wastewater treatment plants (WWTPs), with a global warming potential 300 times that of CO2 and also notorious for its ozone-depleting effect. Modelling can be a valuable alternative to...
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Spring 2024
Urban stormwater quality is a critical concern in urban planning and stormwater management due to its significant influence on receiving water bodies and ecosystems. The dynamics of stormwater quality is influenced by complex factors, with rainfall characteristics and land-use/land cover (LULC)...