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Using building information modeling to enhance the accuracy of forecasting genration rates of construction waste.

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dc.contributor.author Yacoub, Jessy Suheil,
dc.date.accessioned 2020-03-28T17:18:21Z
dc.date.available 2022-05
dc.date.available 2020-03-28T17:18:21Z
dc.date.issued 2019
dc.date.submitted 2019
dc.identifier.other b23565822
dc.identifier.uri http://hdl.handle.net/10938/21834
dc.description Thesis. M.E. American University of Beirut. Department of Civil and Environmental Engineering, 2019. ET:7003.
dc.description Advisor : Dr. Issam Srour, Assistant Professor, Civil and Environmental Engineering ; Members of Committee : Dr. Mutasem Fadel, Professor, Civil and Environmental Engineering ; Dr. Ibrahim Alameddine, Assistant Professor, Civil and Environmental Engineering.
dc.description Includes bibliographical references (leaves 51-57)
dc.description.abstract The continuous increase in worldwide population has led to unprecedented rates of construction activities. In turn, the amounts of waste generated from construction activities are increasing at a steady pace. Such high waste generation rates are putting more pressure on landfills and are encouraging researchers and practitioners to look for alternative waste management strategies (e.g., recycling). In this thesis, a methodology is proposed to determine the required design capacity of a construction waste recycling plant using two essential sets of construction documents. The proposed methodology relies on building information modeling (BIM) technologies such as Revit and common scheduling tools such as Primavera to forecast the quantities of construction waste generated over time. While reported methods on the construction waste quantification are context specific and require significant amounts of field data collection, the proposed method is generic and automated, which makes it applicable to new projects of any type and at any location. The proposed method is illustrated on a real-world case study site, where the results of waste quantities generated over time serve as a baseline for estimating waste from multiple project sites. A set of project specific construction waste S-curves are generated visualizing the waste generation rates across the multiple stages of construction. The integration of several sets of S-curves obtained from different types of projects allows for an accurate forecast of waste generation rates at city, region, or country level, allowing waste management authorities to design the required capacity for recycling plants. Finally, the environmental and economic benefits achieved from recycling are estimated, serving to conclude that recycling could significantly save natural and monetary resources.
dc.format.extent 1 online resource (x, 57 leaves) : color illustrations
dc.language.iso eng
dc.subject.classification ET:007003
dc.subject.lcsh Building information modeling.
dc.subject.lcsh Construction industry.
dc.subject.lcsh Refuse and refuse disposal -- Environmental aspects.
dc.subject.lcsh Recycling (Waste, etc.)
dc.subject.lcsh Waste disposal sites -- Lebanon -- Beirut -- Case studies.
dc.title Using building information modeling to enhance the accuracy of forecasting genration rates of construction waste.
dc.type z
dc.contributor.department Maroun Semaan Faculty of Engineering and Architecture.
dc.contributor.department Department of Civil and Environmental Engineering,
dc.subject.classificationsource AUBNO
dc.contributor.institution American University of Beirut.


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