{"id":111,"date":"2024-01-15T01:34:58","date_gmt":"2024-01-14T22:34:58","guid":{"rendered":"http:\/\/qufaculty.qu.edu.qa\/vplevris\/?page_id=111"},"modified":"2025-05-12T16:22:51","modified_gmt":"2025-05-12T13:22:51","slug":"book-chapters","status":"publish","type":"page","link":"http:\/\/qufaculty.qu.edu.qa\/vplevris\/book-chapters\/","title":{"rendered":"Book Chapters"},"content":{"rendered":"\n

BC10. V. Plevris<\/strong>, “Blockchain applications in the construction industry<\/strong>“, Chapter 12 (DOI: 10.1016\/B978-0-443-30076-9.00013-3<\/a>) in Digital Twin and Blockchain for Sensor Networks in Smart Cities<\/em>, T.A. Nguyen (Ed.), ISBN: 9780443300769 (Paperback), 9780443300776 (eBook), Elsevier, pp. 265-290<\/a>, 2025.<\/p>\n\n\n\n

BC09. K.G.M. Kandethanthri, M. Nikoo, G. Hafeez, A. Bagchi and V. Plevris<\/strong>, “Estimating the In-Plane Lateral Resistance of Reinforced Log Wall Employing Soft Modelling Techniques<\/strong>“, Chapter 1 (DOI: 10.4018\/979-8-3693-2161-4.ch001<\/a>) in Advanced Optimization Applications in Engineering<\/em>, A. Ahmad and C.V. Camp (Eds.), ISBN: 9798369321614, IGI Global, pp. 1-21, 2024.<\/p>\n\n\n\n

BC08. I. Chamatidis, M. Stoumpos, G. Kazakis, N.A. Kallioras, S. Triantafyllou, V. Plevris<\/strong> and N.D. Lagaros, “Overview on Machine Learning Assisted Topology Optimization Methodologies<\/strong>“, Chapter 10 (DOI: 10.1007\/978-3-031-36644-4_10<\/a>) in Machine Learning in Modeling and Simulation (Part of the book series: Computational Methods in Engineering & the Sciences (CMES)), T. Rabczuk and K-J. Bathe (Eds.), ISBN: 978-3-031-36643-7, Springer, pp. 373-394, 2023.<\/p>\n\n\n\n

BC07. M. Nikoo, G. Hafeez, G. Doudak and V. Plevris<\/strong>, “Predicting the Fundamental Period of Light-Frame Wooden Buildings by Employing Bat Algorithm-Based Artificial Neural Network<\/strong>“, Chapter 6 (DOI: 10.4018\/978-1-6684-5643-9.ch006<\/a>) in Artificial Intelligence and Machine Learning Techniques for Civil Engineering, V. Plevris, A. Ahmad and N.D. Lagaros (Eds.), ISBN: 9781668456439, IGI Global, pp. 139-162, 2023.<\/p>\n\n\n\n

BC06. V. Plevris<\/strong> and G. Papazafeiropoulos, “Design of RC Sections with Single Reinforcement According to EC2-1-1 and the Rectangular Stress Distribution<\/strong>“, Chapter 8 (DOI: 10.1007\/978-3-319-47798-5_8<\/a>) in Computational Methods in Earthquake Engineering, Vol. 3, M. Papadrakakis, V. Plevris and N.D. Lagaros (Eds.), ISBN-13: 978-3-319-47796-1 (Print), E-ISBN-13: 978-3-319-47798-5 (Online), Springer International Publishing, pp. 205-259, 2017.<\/p>\n\n\n\n

BC05. P. G. Asteris, Sarhosis, A. Mohebkhah, V. Plevris<\/strong>, L. Papaloizou, P. Komodromos and J. V. Lemos, “Numerical Modeling of Historic Masonry Structures<\/strong>“, Chapter 7 (DOI: 10.4018\/978-1-4666-8286-3.ch007<\/a>) in Handbook of Research on Seismic Assessment and Rehabilitation of Historic Structures, P. G. Asteris and V. Plevris (Eds.), ISBN: 9781466682863, IGI Global, pp. 213-256, 2015.<\/p>\n\n\n\n

BC04. Ch.Ch. Mitropoulou, V. Plevris<\/strong>, N.D. Lagaros, “Metaheuristic Optimization in Seismic Structural Design and Inspection Scheduling of Buildings<\/strong>“, Chapter 7 (DOI: 10.4018\/978-1-4666-1640-0.ch007<\/a>) in Structural Seismic Design Optimization and Earthquake Engineering: Formulations and Applications, V. Plevris, Ch.Ch. Mitropoulou, N.D. Lagaros (Eds.), ISBN: 978-1-4666-1640-0, IGI Global, pp. 148-169, 2012.<\/p>\n\n\n\n

BC03. V. Plevris<\/strong>, M.G. Karlaftis, N.D. Lagaros, \u201cA Swarm Intelligence Approach For Emergency Infrastructure Inspection Scheduling<\/strong>\u201d, Chapter 8 (DOI: 10.1007\/978-3-642-11405-2_8<\/a>) in Sustainable and Resilient Critical Infrastructure Systems: Simulation, Modeling, and Intelligent Engineering, K. Gopalakrishnan, S. Peeta (Eds.), ISBN: 978-3-642-11404-5, pp. 201-230, Springer, 2010.<\/p>\n\n\n\n

BC02. N.D. Lagaros, Y. Tsompanakis, M. Fragiadakis, V. Plevris<\/strong> and M. Papadrakakis, \u201cMetamodel-based computational techniques for solving structural optimization problems considering uncertainties<\/strong>\u201d, Chapter 21 in Structural Design Optimization Considering Uncertainties, Y. Tsompanakis, N.D. Lagaros and M. Papadrakakis (Eds.), ISBN: 978-0-415-45260-1, Taylor and Francis, pp. 567-597, 2008.<\/p>\n\n\n\n

BC01. N.D. Lagaros, M. Papadrakakis and V. Plevris<\/strong>, \u201cMulti-objective Optimization of Space Structures under Static and Seismic Loading Conditions<\/strong>\u201d, Chapter 12 (DOI: 10.1007\/1-84628-137-7_12<\/a>) in Evolutionary Multiobjective Optimization, A. Abraham, L. Jain and R. Goldberg (Eds.), ISBN: 1-85233-787-7, Springer Verlag, CRC Press, pp. 273-300, 2005.<\/p>\n","protected":false},"excerpt":{"rendered":"

BC10. V. Plevris, “Blockchain applications in the construction industry“, Chapter 12 (DOI: 10.1016\/B978-0-443-30076-9.00013-3) in Digital Twin and Blockchain for Sensor […]<\/p>\n","protected":false},"author":1324,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/qufaculty.qu.edu.qa\/vplevris\/wp-json\/wp\/v2\/pages\/111"}],"collection":[{"href":"http:\/\/qufaculty.qu.edu.qa\/vplevris\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/qufaculty.qu.edu.qa\/vplevris\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/qufaculty.qu.edu.qa\/vplevris\/wp-json\/wp\/v2\/users\/1324"}],"replies":[{"embeddable":true,"href":"http:\/\/qufaculty.qu.edu.qa\/vplevris\/wp-json\/wp\/v2\/comments?post=111"}],"version-history":[{"count":7,"href":"http:\/\/qufaculty.qu.edu.qa\/vplevris\/wp-json\/wp\/v2\/pages\/111\/revisions"}],"predecessor-version":[{"id":166,"href":"http:\/\/qufaculty.qu.edu.qa\/vplevris\/wp-json\/wp\/v2\/pages\/111\/revisions\/166"}],"wp:attachment":[{"href":"http:\/\/qufaculty.qu.edu.qa\/vplevris\/wp-json\/wp\/v2\/media?parent=111"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}