Modeling and Simulation Techniques in Structural Engineering
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Modeling and Simulation Techniques in Structural Engineering

Pijush Samui, Subrata Chakraborty, Dookie Kim
Indexed In: SCOPUS View 1 More Indices
Release Date: August, 2016|Copyright: © 2017 |Pages: 524
DOI: 10.4018/978-1-5225-0588-4
ISBN13: 9781522505884|ISBN10: 1522505881|EISBN13: 9781522505891
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Description & Coverage
Description:

The development of new and effective analytical and numerical models is essential to understanding the performance of a variety of structures. As computational methods continue to advance, so too do their applications in structural performance modeling and analysis.

Modeling and Simulation Techniques in Structural Engineering presents emerging research on computational techniques and applications within the field of structural engineering. This timely publication features practical applications as well as new research insights and is ideally designed for use by engineers, IT professionals, researchers, and graduate-level students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Agent-Based Modelling
  • Finite Element Analysis
  • Fuzzy Structural Analysis
  • Neural Networks
  • Seismic Reliability Analysis
  • Smart Structures
  • Structural Engineering Systems
  • Structural Integrity Assessment
Reviews & Statements

Samui, Chakraborty, and Kim present developments in advanced computational techniques and new research areas in the diverse field of structural engineering. The chapters are written by more than fifteen experts who aim to promote the impetus for application of new modeling techniques for assessing performance of structure. A sampling of topics covered includes dynamic analysis of offshore wind turbine structures, agent based modelling of smart structures, finite analysis of pipe bends under external loads, and fuzzy structural analysis using surrogate models.

– Protoview Reviews
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Editor/Author Biographies
Pijush Samui is working as an associate professor in civil engineering department at NIT Patna, India. He graduated in 2000, with a B.Tech. in Civil Engineering from Indian Institute of Engineering Science and Technology, Shibpur, India. He received his M.Sc. in Geotechnical Earthquake Engineering from Indian Institute of Science, Bangalore, India (2004). He holds a Ph.D. in Geotechnical Earthquake Engineering (2008) from Indian Institute of Science, Bangalore, India. He was a postdoctoral fellow at University of Pittsburgh (USA) (2008-2009) and Tampere University of Technology (Finland) (2009- 2010). At University of Pittsburgh, he worked on design of efficient tool for rock cutting and application of Support Vector Machine (SVM) in designing of geostructure. At Tampere University of Technology, he worked on design of railway embankment, slope reliability and site characterization. In 2010, Dr. Pijush joined in the Center for Disaster Mitigation and Management at VIT University as an Associate Professor. He was promoted to a Professor in 2012. Dr. Pijush’s research focuses on the application of Artificial Intelligence for designing civil engineering structure, design of foundation, stability of railway embankment, reliability analysis, site characterization, and earthquake engineering. Dr. Pijush is the recipient of the prestigious CIMO fellowship (2009) from Finland, for his integrated research on the design of railway embankment. He was awarded Shamsher Prakash Research Award (2011) by IIT Roorkee for his innovative research on the application of Artificial Intelligence in designing civil engineering structure. He wasselected asthe recipient of IGS Sardar Resham Singh Memorial Award – 2013 for his innovative research on infrastructure project. He was elected Fellow of International Congress of Disaster Management in 2010. He served as a guest in disaster advance journal. He also serves as an editorial board member in several international journals. Dr. Pijush is active in a variety of professional organizations including the Indian Geotechnical Society, Indian Science Congress, Institution of Engineers, World federation of Soft Computing, and Geotechnical Engineering for Disaster Mitigation and Rehabilitation. He has organized numerous workshops and conferences on the applications of artificial intelligence in civil engineering design.
Dr. Subrata Chakraborty is currently a Professor at the Indian Institute of Engineering Science and Technology , Shibpur. He is a fellow of the Indian National Academy Engineering and the Institution of Engineers (India). Prof. Chakraborty did his Bachelor in Civil Engineering from Bengal Engineering College, Shibpur, M. Tech. and Ph.D. from IIT Kharagpur. He was a postdoctoral researcher at University of Cambridge, UK and University of Arizona, USA and Technical University of Aachen, Germany. In general, Prof. Chakraborty’s research interest lies in the field of computational mechanics under uncertainty, Seismic Safety Assessment, vibration control, structural health monitoring, composite mechanics etc.
Dookie Kim received his Bachelor degree in Civil and Environmental Engineering from Korea University in 1993, and he earned his Master and Ph.D. degrees in Civil Engineering from Korea Advanced Institute of Science and Technology (KAIST) in 1995 and 1999 respectively. He is as a post-doctoral researcher and at Korea Atomic Energy Research Institute (KAERI), University of California, and Irvine (UCI) and as a senior researcher at UNISON Co. Ltd in September 1999 - February 2003. Since March 2003, Dr. Kim has been teaching, researching, and consulting at the Department of Civil Engineering, Kunsan National University (KNU), Jeonbuk, Korea.
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