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| Author | : Inderkumar D. Jain |
| Publisher | : |
| Total Pages | : 128 |
| Release | : 1991 |
| Genre | : |
| ISBN | : |
| Author | : Carlo Calledda |
| Publisher | : Youcanprint |
| Total Pages | : 76 |
| Release | : 2021-03-17 |
| Genre | : Computers |
| ISBN | : |
Neural network-based algorithms find numerous applications in different scientific fields and, in particular, in the various areas of engineering. In Civil Engineering, however, there are still few applications of such methods. The purpose of this thesis is to apply the resolution capabilities of artificial neural networks to structural design.
| Author | : G. I. N. Rozvany |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 594 |
| Release | : 1993 |
| Genre | : Science |
| ISBN | : 9780792321293 |
This is the second of two volumes which examine structural optimization of large structural systems. Topics covered in these volumes include optimality criteria and topology optimization, decomposition methods and approximation concepts, neural networks and parallel processing.
| Author | : Genki Yagawa |
| Publisher | : Springer Nature |
| Total Pages | : 233 |
| Release | : 2021-02-26 |
| Genre | : Technology & Engineering |
| ISBN | : 3030661113 |
This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other machine learning method in computational mechanics. Part II highlights the applications of neural networks to a variety of problems of computational mechanics. The final chapter gives perspectives to the applications of the deep learning to computational mechanics.
| Author | : Wade H. Shafer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 350 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 1461528321 |
Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS) * at Purdue University in 1 957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all con cerned if the printing and distribution of the volumes were handled by an interna tional publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Cor poration of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 36 (thesis year 1991) a total of 11,024 thesis titles from 23 Canadian and 161 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this important annual reference work. While Volume 36 reports theses submitted in 1991, on occasion, certain univer sities do report theses submitted in previous years but not reported at the time.
| Author | : Peter W. Christensen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 214 |
| Release | : 2008-10-14 |
| Genre | : Technology & Engineering |
| ISBN | : 1402086660 |
This book has grown out of lectures and courses given at Linköping University, Sweden, over a period of 15 years. It gives an introductory treatment of problems and methods of structural optimization. The three basic classes of geometrical - timization problems of mechanical structures, i. e. , size, shape and topology op- mization, are treated. The focus is on concrete numerical solution methods for d- crete and (?nite element) discretized linear elastic structures. The style is explicit and practical: mathematical proofs are provided when arguments can be kept e- mentary but are otherwise only cited, while implementation details are frequently provided. Moreover, since the text has an emphasis on geometrical design problems, where the design is represented by continuously varying—frequently very many— variables, so-called ?rst order methods are central to the treatment. These methods are based on sensitivity analysis, i. e. , on establishing ?rst order derivatives for - jectives and constraints. The classical ?rst order methods that we emphasize are CONLIN and MMA, which are based on explicit, convex and separable appro- mations. It should be remarked that the classical and frequently used so-called op- mality criteria method is also of this kind. It may also be noted in this context that zero order methods such as response surface methods, surrogate models, neural n- works, genetic algorithms, etc. , essentially apply to different types of problems than the ones treated here and should be presented elsewhere.
| Author | : José Herskovits |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 530 |
| Release | : 1995 |
| Genre | : Mathematics |
| ISBN | : 9780792325109 |
This text presents the techniques for a wide set of applications, ranging from the problems of size and shape optimization (historically the first to be studied) to topology and material optimization. Structural models are considered that use both discrete and finite elements. Structural materials can be classical or new. Emerging methods are also addressed, such as automatic differentiation, intelligent structures optimization, integration of structural optimization in concurrent engineering environments, and multidisciplinary optimization.
| Author | : Julian Heidenreich (S.M.) |
| Publisher | : |
| Total Pages | : 51 |
| Release | : 2020 |
| Genre | : |
| ISBN | : |
During the past years, the neural networks drew more and more interest from the solid mechanics community. In particular, they have proven to provide a powerful framework for constitutive modeling. This work takes first tentative steps towards the use of convolutional neural network based modelling techniques to estimate structural response. The present work investigates the initial yield of two-dimensional architected materials. The dataset is obtained either by physical or virtual tests. In future applications, the network will be trained based on physical experiments. In the course of this work, they have been replaced by virtual experiments relying on numerical simulations. The computational framework is modeled as an encoder-decoder network and leverages the effectiveness of convolutional neural networks to estimate the structural response of two material structures. More specifically, the constructed network manages to replicate shape distortions of the yield surface for numerous hole configurations as well as various types of perforation. Furthermore, it accurately predicts the orientation dependent material response for varying degrees of anisotropy. The fact that the network directly translates geometrical data into mechanically significant quantities leads to the strong conjecture that structures. More specifically, the constructed network manages to replicate shape distortions of the yield surface for numerous hole configurations as well as various types of perforation. Furthermore, it accurately predicts the orientation dependent material response for varying degrees of anisotropy. The fact that the network directly translates geometrical data into mechanically significant quantities leads to the strong conjecture that.
| Author | : Jean Lemaitre |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 225 |
| Release | : 2013-12-14 |
| Genre | : Science |
| ISBN | : 3662027615 |
A new branch of science usually develops thus. Somebody publishes the basic ideas. Hesitatingly at first, then little by little, other original contributions appear, until a certain threshold is reached. Then, overview articles are printed, conferences are held, and a first mention is made in textbooks, until specialized monographs are written. Continuum darnage mechanics has reached that status now. To analyze or, if possible, to predict the failure of machine parts or other structures is one of the main goals of engineering science. Consequently fracture mechanics became one of its leading branches. It was based on the analysis of existing cracks. However, especially under conditions of cyclic loading, this might be too late to prevent a disaster. Therefore, the question regarding the precursory state, that is, the evolution of intemal darnage before macrocracks become visible, was then posed. One of the successful approaches to the problern was Weibull's theory which examined, in a statistical manner, the "weakest link" in the material volume under consideration. Unfortunately it proved too difficult mathematically to be applied to complicated parts or structures. Therefore it was highly appreciated by the scientific of material community when L. M. Kachanov published in 1958 a simple model darnage which subsequently could be extended to brittle elastic, plastic or viscous materials under all conditions of uniaxial or multiaxial, simple or cyclic loadings, so that it may be considered nearly universal.
| Author | : Hojjat Adeli |
| Publisher | : CRC Press |
| Total Pages | : 178 |
| Release | : 2003-09-02 |
| Genre | : Architecture |
| ISBN | : 0203302230 |
Construction Scheduling, Cost Optimization and Management presents a general mathematical formula for the scheduling of construction projects. Using this formula, repetitive and non-repetitive tasks, work continuity considerations, multiple-crew strategies, and the effects of varying job conditions on the performance of a crew can be modelled.L This book presents an entirely new approach to the construction scheduling problem. It provides a practical methodology which will be of great benefit to all those involved in construction scheduling and cost optimization, including construction engineers, highway engineers, transportation engineers, contractors and architects. It will also be useful for researchers, and graduates on courses in construction scheduling and planning.
