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Mahmoud Haddara
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Proceedings Papers

Formulation and Analysis of the Probability of Detection and False Detection for Subsea Leak Detection Systems

Alireda Aljaroudi, Faisal Khan, Ayhan Akinturk, Mahmoud Haddara, Premkumar Thodi
Proc. ASME. IPC2014, Volume 1: Design and Construction; Environment; Pipeline Automation and Measurement, V001T09A033, September 29–October 3, 2014
Publisher: American Society of Mechanical Engineers
Paper No: IPC2014-33661
https://doi.org/10.1115/IPC2014-33661
View Paper titled, Formulation and Analysis of the Probability of Detection and False Detection for Subsea Leak Detection Systems
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Topics: Leakage, Ocean engineering, Probability, Pipelines, Underwater pipelines, Fibers, Petroleum industry, Reliability, Seas
Proceedings Papers

Probabilistic Performance Assessment of Fiber Optic Leak Detection Systems

Alireda Aljaroudi, Faisal Khan, Ayhan Akinturk, Mahmoud Haddara
Proc. ASME. OMAE2014, Volume 4B: Structures, Safety and Reliability, V04BT02A029, June 8–13, 2014
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2014-24329
https://doi.org/10.1115/OMAE2014-24329
View Paper titled, Probabilistic Performance Assessment of Fiber Optic Leak Detection Systems
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Topics: Fibers, Leakage, Failure, Probability, Financial risk, Maintenance, Pipelines, Reliability, Uncertainty
Proceedings Papers

On the Use of Mode Shapes in the Identification of Structural Damage

Ahmed Elshafey, Mahmoud Haddara, Hesham Marzouk
Proc. ASME. OMAE2010, 29th International Conference on Ocean, Offshore and Arctic Engineering: Volume 2, 65-73, June 6–11, 2010
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2010-20069
https://doi.org/10.1115/OMAE2010-20069
View Paper titled, On the Use of Mode Shapes in the Identification of Structural Damage
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Topics: Damage, Finite element analysis, Mode shapes
Proceedings Papers

Prediction of Hydrodynamic Forces and Moments on Submarines Using Neural Networks

Ibrahim Mohamed, Mahmoud Haddara, Christopher D. Williams, Michael Mackay
Proc. ASME. OMAE2002, 21st International Conference on Offshore Mechanics and Arctic Engineering, Volume 4, 843-854, June 23–28, 2002
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2002-28592
https://doi.org/10.1115/OMAE2002-28592
View Paper titled, Prediction of Hydrodynamic Forces and Moments on Submarines Using Neural Networks
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Topics: Artificial neural networks, Fluid-dynamic forces, Underwater vehicles, Vehicles