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Computational and Experimental Simulations in Engineering

Proceedings of ICCES2019

  • Conference proceedings
  • © 2020

Overview

  • Presents the state of the art in computational and Experimental engineering
  • Features papers from the 24th International Conference on Computational & Experimental Engineering and Sciences (ICCES), held in Tokyo, Japan on March 25-28, 2019
  • Written by leading experts in the field

Part of the book series: Mechanisms and Machine Science (Mechan. Machine Science, volume 75)

Included in the following conference series:

Conference proceedings info: ICCES 2019.

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Table of contents (112 papers)

  1. Advances in Experimental Solid Mechanics

  2. Advances in Smart and Functional Construction Materials and System for Civil Infrastructure

  3. Computational Fracture Modeling on Welded Joints and Advanced Materials

  4. Phase Change Material: Numerical and Experimental Results

  5. Nonlinear Dynamics and Control in Aerospace Engineering

  6. Computational and Experimental Methods in Geotechnical and Multidisciplinary Engineering Problems

Other volumes

  1. Computational and Experimental Simulations in Engineering

Keywords

About this book

This book gathers the latest advances, innovations, and applications in the field of computational engineering, as presented by leading international researchers and engineers at the 24th International Conference on Computational & Experimental Engineering and Sciences (ICCES), held in Tokyo, Japan on March 25-28, 2019. ICCES covers all aspects of applied sciences and engineering: theoretical, analytical, computational, and experimental studies and solutions of problems in the physical, chemical, biological, mechanical, electrical, and mathematical sciences. As such, the book discusses highly diverse topics, including composites; bioengineering & biomechanics; geotechnical engineering; offshore & arctic engineering; multi-scale & multi-physics fluid engineering; structural integrity & longevity; materials design & simulation; and computer modeling methods in engineering. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerousexciting ideas that will spur novel research directions and foster multidisciplinary collaborations.

Editors and Affiliations

  • Department of Mechanical Engineering, Tokyo University of Science, Noda, Japan

    Hiroshi Okada

  • Department of Mechanical Engineering, Texas Tech University, Lubbock, USA

    Satya N. Atluri

Bibliographic Information

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