Browsing by Author "Renno, Jamil"
Now showing items 1-6 of 6
-
AN EXPERIMENTAL AND NUMERICAL INVESTIGATION OF THE COMBINATION OF DIFFERENT DAMPER TYPES FOR IMPROVED CONTROL OF VIBRATION
BADRI,YOUSIF BABIKIR ALI BABIKIR (2022 , Master Thesis)Eliminating and reducing unwanted vibrations required a good knowledge of the dynamic systems fundamental components; mass, spring, and damper. Meanwhile, dampers are responsible for reducing the vibrations amplitudes and ... -
A Finite Element Investigation of Existing Pipework Vibration Acceptance Criteria
Khammassi, Mehdi (2020 , Master Thesis)In this thesis, a literature review was conducted to cover the assessment techniques for Oil and Gas (O&G) pipework that includes Small Bore Pipes (SBP). The various methods that were studied are the most commonly found ... -
Generative Adversarial Networks as a Method to Predict Stresses in Structures
TRENT, STEPHEN DOUGLAS (2021 , Master Thesis)There have been continuous advances in the field of Finite Element Analysis (FEA) allowing designers, architects, engineers and the public at large increasing ease and access. The methods of implementation however, have ... -
INVESTIGATING FATIGUE LIFE IN BOLTED FLANGE CONNECTION IN WIND TURBINE TOWERS
SALAMEH, ABDULLAH M. (2023 , Master Thesis)A comprehensive assessment of fatigue was performed on an L-flanged bolted connection under four different wind speeds. The wind turbines were subjected to average wind speeds of 5, 10, 15, and 20 m/s. The primary objective ... -
Investigation of the Suitability of the Vibration Acceptance Criteria for Process Pipework in Assessing the Vibration Levels of the Flow-Induced Fatigue Failure
Shady, Omar Twfik Saad Mohamed (2021 , Master Thesis)Process pipework is essential to the oil and gas industries. Usually, pipework is designed to satisfy static requirements. Often, vibration problems in process pipework are treated on an Adhoc basis. Pipework vibration can ... -
Probabilistic Machine Learning for Fatigue Data
Shady, Omar Tawfik; Renno, Jamil; Mohamed, M. Shadi; Sassi, Sadok; Muthalif, Asan G. A. (2021 , Dataset)Probabilistic neural networks (PNNs) are used to model the fatigue of metals and to model the vibration/stress relationship in process pipework. The data used in training the network and the network architecture are provided ...