الاسم : ميادة يحيى محمد

العنوان : مدرس

الكلية : الهندسة

القسم : الهندسة المدنية

البريد الالكتروني : Miada.mohammed@uobasrah.edu.iq

Dr. Meyyada Yahya Alabdulhady
المعلومات الشخصية (current) السيرة الذاتية(current) السيرة العلمية(current) المؤلفات (current) النشاطات العلمية (current) المحاضرات (current)

Dr. Meyyada Yahya Alabdulhady

  رابط Google Scholar: https://scholar.google.com/citations?user=wyL2gJMAAAAJ&hl=en
  رابط Research Gate : https://www.researchgate.net/profile/Meyyada_Alabdulhady
  رابط Web of Science : https://publons.com/researcher/1745156/meyyada-y-alabdulhady/
  رابط Scopus : https://www.scopus.com/authid/detail.uri?authorId=57193274560
  رابط ORCID : https://orcid.org/0000-0001-8403-9321

الاوراق البحثية

عنوان البحث النوع الناشر السنة عالمي مفرد ثومبسون رويتر
(كلارفيت)		 سكوبس تحميل
The Efficiency of CFRP Strengthening and Repair System on the Flexural Behavior of RC Beams Constructed with Different Concrete Compressive Strength بحث مجلة Results in Engineering/ Elsevier 2022 download
Analytical Study on the Torsional Behavior of Reinforced Concrete Beams Strengthened with FRCM Composite بحث مجلة ASCE 2019
Torsional strengthening of reinforced concrete beams with externally bonded composites: A state of the art review بحث مجلة Construction and Building Materials /Elsevier 2019
Guide for the Selection of Rapid Repair Systems for Earthquake-Damaged Reinforced Concrete Bridge Columns تقرير 2019
A study of the effect of fiber orientation on the torsional behavior of RC beams strengthened with PBO-FRCM composite بحث مجلة Construction and Building Materials /Elsevier 2018
Torsional behavior of RC beams strengthened with PBO-FRCM composite اطروحة Missouri University of Science and Technology 2018
Torsional behavior of RC beams strengthened with PBO-FRCM composite – An experimental study بحث مجلة Engineering Structures/Elsevier 2017
Finite element study on the behavior of RC beams strengthened with PBO-FRCM composite under torsion بحث مجلة Composite Structures/Elsevier 2017
Prediction of ultimate torsional strength of spandrel beams using Artificial Neural Networks بحث مجلة Basrah Journal for Engineering Science 2011
Structural Analysis كتاب University of Basrah 2010