Mughieda, Omer https://orcid.org/0000-0001-8870-9986
Guo, Lijie
Tang, Yunchao
Okasha, Nader M.
Azimi, Sayed Javid
Namdar, Abdoullah
Azhar, Falak
Article History
Received: 7 September 2023
Accepted: 19 February 2024
First Online: 28 February 2024
Declarations
:
: The authors declare no competing interests.
: Associate Professor Omer Mughieda is head of Department of Civil Engineering, Abu Dhabi University, Abu Dhabi, UAE.
: omer.mughieda@adu.ac.ae.
: Professor Lijie Guo is working at BGRIMM Technology Group, Beijing 100160, China.
: ljguo264@126.com.
: Professor Yunchao TANG is working at Key Laboratory of Disaster Prevention and Structural Safety of China Ministry of Education, School of Civil Engineering and Architecture, Guangxi University, Nanning, China 530004.
: joshua0115@gxu.edu.cn.
: Professor Nader M. Okasha is working at Department of Civil Engineering, College of Engineering, Abu Dhabi University, Al Ain, United Arab Emirates.
: nader.okasha@adu.ac.ae.
: Mr. Sayed Javid Azimi is a lecturer at Structure Department, Engineering Faculty, International Islamic University of Afghanistan, Afghanistan.
: s.javidazimi@gmail.com.
: Dr. Abdoullah Namdar is a researcher at School of Civil Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, Iran.
: ab_namdar@yahoo.com.
: Mrs. Falak Azhar is an Independent Researcher, MSc Civil Engineering and Construction Management, Dubai, UAE.
: falakazhar95@gmail.com.
: Displacement in a noder Distances from the crack.E Modulus of elasticity. Poisson’s ratio Stress intensity factors Stress intensity factorss Arc length.T External forces.u Corresponding displacements. Plastic strain Yield strain Yield stressA Constant.N Plastic stress-strain relationship.U Strain energy density. BoundaryJ J - Integral.a Length of the crack. Applied stressY Geometric correction coefficient.W Width of the component. Maximum stress intensity factor Minimum stress intensity factor Maximum applied stress Minimum applied stress Stress intensity factor range Mean squared error Regression value Measured experimental Mean of the measurements Predicted data Input Synaptic weight of neurons Neurons Activation function Represents the bias Output Linear combiner output Activation potential