Probabilistic Optimisation Of Composite Structures Machine Learning For Design Optimisation
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Probabilistic Optimisation Of Composite Structures Machine Learning For Design Optimisation
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Author : Kwangkyu Alex Yoo
language : en
Publisher: World Scientific
Release Date : 2025-03-17
Probabilistic Optimisation Of Composite Structures Machine Learning For Design Optimisation written by Kwangkyu Alex Yoo and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Technology & Engineering categories.
This book introduces an innovative approach to multi-fidelity probabilistic optimisation for aircraft composite structures, addressing the challenge of balancing reliability with computational cost. Probabilistic optimisation pursues statistically reliable and robust solutions by accounting for uncertainties in data, such as material properties and geometry tolerances. Traditional approaches using high-fidelity models, though accurate, are computationally expensive and time-consuming, especially when using complex methods such as Monte Carlo simulations and gradient calculations.For the first time, the proposed multi-fidelity method combines high- and low-fidelity models, enabling high-fidelity models to focus on specific areas of the design space, while low-fidelity models explore the entire space. Machine learning technologies, such as artificial neural networks and nonlinear autoregressive Gaussian processes, fill information gaps between different fidelity models, enhancing model accuracy. The multi-fidelity probabilistic optimisation framework is demonstrated through the reliability-based and robust design problems of aircraft composite structures under a thermo-mechanical environment, showing acceptable accuracy and reductions in computational time.
Structural Design And Optimization Of Lifting Self Forming Gfrp Elastic Gridshells Based On Machine Learning
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Author : Soheila Kookalani
language : en
Publisher: Taylor & Francis
Release Date : 2025-08-26
Structural Design And Optimization Of Lifting Self Forming Gfrp Elastic Gridshells Based On Machine Learning written by Soheila Kookalani and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-26 with Computers categories.
Structural Design and Optimization of Lifting Self-forming GFRP Elastic Gridshells Based on Machine Learning presents the algorithms of machine learning (ML) that can be used for the structural design and optimization of glass fiber reinforced polymer (GFRP) elastic gridshells, including linear regression, ridge regression, K-nearest neighbors, decision tree, random forest, AdaBoost, XGBoost, artificial neural network, support vector machine (SVM), and six enhanced forms of SVM. It also introduces interpretable ML approaches, including partial dependence plot, accumulated local effects, and SHaply additive exPlanations (SHAP). Also, several methods for developing ML algorithms, including K-fold cross-validation (CV), Taguchi, a technique for order preference by similarity to ideal solution (TOPSIS), and multi-objective particle swarm optimization (MOPSO), are proposed. These algorithms are implemented to improve the applications of gridshell structures using a comprehensive representation of ML models. This research introduces novel frameworks for shape prediction, form-finding, structural performance assessment, and shape optimization of lifting self-forming GFRP elastic gridshells using ML methods. This book will be of interest to researchers and academics interested in advanced design methods and ML technology in architecture, engineering, and construction fields.
Machine Learning Aided Analysis Design And Additive Manufacturing Of Functionally Graded Porous Composite Structures
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Author : Jie Yang
language : en
Publisher: Elsevier
Release Date : 2023-10-04
Machine Learning Aided Analysis Design And Additive Manufacturing Of Functionally Graded Porous Composite Structures written by Jie Yang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-04 with Technology & Engineering categories.
Functionally Graded Porous Structures: Applied Methods in Mechanical Performance Evaluation, Machine Learning Aided Analysis, and Additive Manufacturing presents a state-of-the-art review of the latest advances and cutting-edge technologies in this important research field. The book is divided into three key sections. The first section begins with an introduction to functionally graded porous structures and details the effects of graded porosities on bending, buckling, and vibration behaviours within the framework of Timoshenko beam theory, and first-order shear deformable plate theory. The second section is focused on the usage of machine learning techniques for smart structural analysis of porous components as an evolution from traditional engineering, methods. The third section focuses on additive manufacturing of structures with graded porosities for end-user applications. The book follows a clear path from design and analysis to fabrication and applications. Readers will find extensive knowledge and examples of functionally graded porous structures that are suitable for innovative research and market needs, with applications relevant to a diverse range of industrial fields, including mechanical, structural, aerospace, energy, and biomedical engineering. - Provides a comprehensive picture of novel porous materials and advanced lightweight structural technologies that are applicable to a diverse range of industrial sectors - Updated with the most recent advances in the field of porous structures - Goes beyond traditional structural aspects and covers novel evaluation strategies, machine learning aided analysis, and additive manufacturing - Covers weight management strategies for structural components to achieve multifunctional purposes - Addresses key issues in the design of lightweight structures, offering significant environmental benefits
Structural Design Optimization Considering Uncertainties
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Author : Yannis Tsompanakis
language : en
Publisher: CRC Press
Release Date : 2008-02-07
Structural Design Optimization Considering Uncertainties written by Yannis Tsompanakis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-07 with Technology & Engineering categories.
Uncertainties play a dominant role in the design and optimization of structures and infrastructures. In optimum design of structural systems due to variations of the material, manufacturing variations, variations of the external loads and modelling uncertainty, the parameters of a structure, a structural system and its environment are not given, fi
Application Of Optimization Algorithms In Chemistry
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Author : Jorge M. C. Marques
language : en
Publisher: Frontiers Media SA
Release Date : 2020-06-08
Application Of Optimization Algorithms In Chemistry written by Jorge M. C. Marques and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-08 with categories.
This eBook is dedicated to Prof. William L. Hase, who passed away on Monday, March 23, 2020.
Proceedings Of The American Society For Composites Seventeenth Technical Conference
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Author : C. T. Sun
language : en
Publisher: CRC Press
Release Date : 2002-10-24
Proceedings Of The American Society For Composites Seventeenth Technical Conference written by C. T. Sun and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-10-24 with Technology & Engineering categories.
Artificial Intelligence For Materials Informatics
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Author : S. Sachin Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-07-29
Artificial Intelligence For Materials Informatics written by S. Sachin Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Computers categories.
This comprehensive book explores the transformative impact of AI on materials informatics, delving into machine learning/deep learning, and material knowledge representation. Embracing the transformative power of artificial intelligence (AI), the field of materials informatics has witnessed a remarkable revolution in its methodology and applications. AI has revolutionized the field of materials informatics, enabling researchers to discover, design, and optimize materials with enhanced properties at an accelerated pace. It showcases how AI is accelerating materials discovery, property prediction, providing case studies, and a comprehensive bibliography for further exploration. This essential resource equips researchers, scientists, and engineers with the knowledge and tools to harness the power of AI for groundbreaking advancements in materials science.
Ai Based Optimized Design Of Structural Frames
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Author : Won‐Kee Hong
language : en
Publisher: CRC Press
Release Date : 2024-10-16
Ai Based Optimized Design Of Structural Frames written by Won‐Kee Hong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Technology & Engineering categories.
This book introduces an auto‐design‐based optimization for building frames using an artificial neural network (ANN)‐based Lagrange method and novel genetic algorithm (GA). The work of great mathematician Joseph‐Louis Lagrange and ANNs are merged to identify parameters that optimize structural frames of reinforced concrete, prestressed concrete, and steel frames subject to one or more design constraints. New features for enhancing conventional GA are also demonstrated to optimize structural frames. New features for optimizing multiple design targets of the building frames are highlighted, while design requirements imposed by codes are automatically satisfied. Chapters provide readers with an understanding of how both ANN‐based and novel GA‐based structural optimization can be implemented in holistically optimizing designated design targets for building structural frames, guiding readers toward more rational designs that is consistent with American Institute of Steel Construction (AISC) and American Concrete Institute (ACI) standards. ANN‐based holistic designs of multi‐story frames in general and reinforced concrete, prestressed concrete, and steel frames in particular, are introduced. This book suits structural engineers, architects, and graduate students in the field of building frame designs and is heavily illustrated with color figures and tables.
Handbook Of Machine Learning Volume 2 Optimization And Decision Making
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Author : Tshilidzi Marwala
language : en
Publisher: World Scientific
Release Date : 2019-11-21
Handbook Of Machine Learning Volume 2 Optimization And Decision Making written by Tshilidzi Marwala and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-21 with Computers categories.
Building on , this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like the first volume, it provides a starting point for machine learning enthusiasts as a comprehensive guide on classical optimization methods. It also provides an in-depth overview on how artificial intelligence can be used to define, disprove or validate economic modeling and decision making concepts.
Handbook Of Smart Energy Systems
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Author : Michel Fathi
language : en
Publisher: Springer Nature
Release Date : 2023-08-04
Handbook Of Smart Energy Systems written by Michel Fathi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with Business & Economics categories.
This handbook analyzes and develops methods and models to optimize solutions for energy access (for industry and the general world population alike) in terms of reliability and sustainability. With a focus on improving the performance of energy systems, it brings together state-of-the-art research on reliability enhancement, intelligent development, simulation and optimization, as well as sustainable development of energy systems. It helps energy stakeholders and professionals learn the methodologies needed to improve the reliability of energy supply-and-demand systems, achieve more efficient long-term operations, deal with uncertainties in energy systems, and reduce energy emissions. Highlighting novel models and their applications from leading experts in this important area, this book will appeal to researchers, students, and engineers in the various domains of smart energy systems and encourage them to pursue research and development in this exciting and highly relevant field.