Maintenance planning of subway operating systems using BIM / Omar Amr Saad Eldin Elhamshary ; Supervised Mohamed Mahdy Marzouk , Mona Metwally Abouhamad
Material type: TextLanguage: English Publication details: Cairo : Omar Amr Saad Eldin Elhamshary , 2020Description: 146 P . : charts , facsmilies ; 30cmOther title:- تخط{u٠٦أأ}ط ص{u٠٦أأ}انة الأنظمة التشغ{u٠٦أأ}ل{u٠٦أأ}ة لمترو الأنفاق بإستخدام نمذجة معلومات المنشأت [Added title page title]
- Issued also as CD
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.05.M.Sc.2020.Om.M (Browse shelf(Opens below)) | Not for loan | 01010110082923000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.05.M.Sc.2020.Om.M (Browse shelf(Opens below)) | 82923.CD | Not for loan | 01020110082923000 |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering
This research presents a framework for condition assessment and budget allocation optimization for subways operating systems. The proposed framework utilizes BIM as an openly shareable information platform for maintenance planning of subways operating systems.The research framework encounters five main modules that are designated for performing different functions. These modules are: Reliability Centered Maintenance Database, Deterioration Modelling, Multi-objective Optimization, Decision Making, and BIM-based Model. Reliability Centered Maintenance Database module where subway operating systems are decomposed to components levels showing their functions, operational failures, failure causes, failure effects, estimating failure consequences using Quality Function Deployment (QFD) technique, responsive maintenance actions, and the hourly maintenance costs. Deterioration Modeling module is used to analyze operational failures using deterministic and artificial intelligence models to estimate future conditions of subway components. Multi-objective Optimization module, which uses gradient descent technique to decide the optimal maintenance frequencies that derive lowest maintenance costs and lowest risk of failure for each operational failure
Issued also as CD
There are no comments on this title.