Research on Machine Learning Based “Steel Connection Design” Published in Q1 Category Journals By MIST Faculty Members
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Lt Col Khondaker Sakil Ahmed PhD, PEng, CEng of Civil Engineering Dept of MIST published two research articles on Machine learning (ML) based bearing capcity prediction and failure mode identification of double shear bolted connection in structural steel in the top tier journals, recently. Both of the articles are published in two Q1 category premier journals namely, Engineering Structure (IF 4.471) and Engineering Failure Analysis (3.114) by Elsevier. It is expected that the research will contribute to the new generation ML based bolted connection design for steel structures. Ex Lecturer Samia Zakir Sarothi of CE Department, MIST, Lecturer Nafiz Imtiaz Khan, Lecturer of CSE department of MIST, Dr Aziz Ahmed, Lecturer of Wollongong University, Australia and Prof Dr Moncef L Nehdi, Chair of the Department of Civil Engineering, McMaster University, Canada are the co-authors of these two articles. The author would like to thank MIST, CE Department, R&D Wing, Admin Wing for their continuous supports. The author would also like to acknowledge the contributions from all Co-Authors and research collaborators at the national and international levels. The papers are now available online. Copy of these published articles can be accessed from the following links
If the links are not accessible, readers can contact directly to the author @ drksa@ce.mist.ac.bd.
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