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dc.contributor.advisorSemaan, Nabilen_US
dc.contributor.authorMaroun, Khalilen_US
dc.descriptionIncludes bibliographical references (p. 52-53)en_US
dc.description.abstractThe purpose of this paper is to develop a stochastic detailed Cyclone Model to quantify the productivity of the construction operation and proper management of the resources available with taking into consideration the key machinery- Jackhammer The new model, entitled “a Model of a construction operation”, develops a stochastic detailed schedule for the construction operation, using EZStrobe and Stroboscope a simulation programming language. The EZStrobe model (1) identifies the different periodic inspection tasks of the maintenance schedule, (2) allocates the resources required for each task, (3) evaluates a stochastic duration of each inspection task, (4) evaluates probability of occurrence for each breakdown or repair, (5) develops the CYCLONE model of the stochastic schedule, and (6) and simulates the model using Stroboscope Simulation. Because of numerous unanticipated elements for jackhammer construction operation, the exact gauge of the jackhammer efficiency is a difficult assignment. A jackhammer utilizes a great deal of forged steel parts, it has more than 60 pieces which are held together by bolts. It is held by bolts and not weld together on the grounds that it would vibrate itself separated; the bolts consider vibration. The jackhammer works of newtons law force equals mass durations acceleration, the mass is the bit and the acceleration is what the air pressure provides as it goes in a self-reciprocating motion. Furthermore, there are many types of jackhammer bits depending on the job it is assigned for and depending on the different types of rock or solids, the productivity of the jackhammer differs. Productivity is comparing the input over the output. When assessing the productivity of a construction operation the input used is either deterministic or stochastic. It varies depending on the operation. Utilizing a Cyclone-Simulation based model to asses Productivity can help by foreseeing the Productivity under different undertaking conditions. For evaluating construction operation productivity using the deterministic technique, Site must be collected from site interviews and expert questioning in different companies and different regions. In every construction operation when evaluating using the deterministic technique, many variables should be taken into consideration depending the operation being assessed. Therefore, after using this technique it will ease the way for predicting future productivity and cost for similar construction operations. Secondly, for evaluating construction operation productivity using the stochastic technique, probabilistic Site is taken into consideration for the input. This Site may vary depending also on many variables; therefore, a probabilistic number is taken into consideration for each activity so that an applicable evaluation of the productivity is formed.en_US
dc.description.statementofresponsibilityby Khalil Marounen_US
dc.format.extent1 online resource (xi, 53 pages) : ill., tablesen_US
dc.rightsThis object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holderen_US
dc.subjectEzstrobe, Jackhammer, Construction, Operation, Cyclone, Activity Cycle Diagramsen_US
dc.subject.lcshBuilding materialsen_US
dc.subject.lcshDissertations, Academicen_US
dc.subject.lcshUniversity of Balamand--Dissertationsen_US
dc.titleA stochastic detailed cyclone model for simulation of the jackhammer and the evaluation of productivityen_US
dc.contributor.corporateUniversity of Balamanden_US
dc.contributor.departmentDepartment of Civil Engineeringen_US
dc.contributor.facultyFaculty of Engineeringen_US
dc.contributor.institutionUniversity of Balamanden_US
dc.description.degreeMS in Civil Engineeringen_US
Appears in Collections:UOB Theses and Projects
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