Institution
Mines ParisTech
Education•Paris, France•
About: Mines ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Finite element method & Microstructure. The organization has 6564 authors who have published 11676 publications receiving 359898 citations. The organization is also known as: École nationale supérieure des mines de Paris & École des mines de Paris.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors present a local criterion for cleavage fracture based on the critical stress criterion of OROWAN, which can be implemented in computer programs in order to solve much more complex situations where no analytical solutions are available.
257 citations
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01 Sep 2004
TL;DR: The Globalized Bounded Nelder-Mead (GBNM) algorithm as discussed by the authors is a global search algorithm based on a fixed cost local search, which sequentially becomes global by probabilistic restart.
Abstract: One of the fundamental difficulties in engineering design is the multiplicity of local solutions. This has triggered great efforts to develop global search algorithms. Globality, however, often has a prohibitively high numerical cost for real problems. A fixed cost local search, which sequentially becomes global is developed. Globalization is achieved by probabilistic restart. A spatial probability of starting a local search is built based on past searches. An improved Nelder-Mead algorithm makes the local optimizer. It accounts for variable bounds. It is additionally made more robust by reinitializing degenerated simplexes. The resulting method, called Globalized Bounded Nelder-Mead (GBNM) algorithm, is particularly adapted to tackle multimodal, discontinuous optimization problems, for which it is uncertain that a global optimization can be afforded. Different strategies for restarting the local search are discussed. Numerical experiments are given on analytical test functions and composite laminate design problems. The GBNM method compares favorably to an evolutionary algorithm, both in terms of numerical cost and accuracy.
257 citations
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TL;DR: In this article, the deformation and fracture of steel are investigated at room temperature in steel through tension and compression tests, and the microstructure is characterized to infer initial average values of porosity, void aspect ratio and void spacing ratio, all three playing a key role in the fracture process.
256 citations
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TL;DR: In this paper, the notion of emergent concerned groups and how these groups contribute to shaping the relations between technoscience, politics, and economic markets is discussed, and the first par...
Abstract: This article discusses the notion of emergent concerned groups and explores how these groups contribute to shaping the relations between technoscience, politics, and economic markets. The first par...
256 citations
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TL;DR: Using the theory of invariant observers, i.e, symmetry-preserving observers, three non-linear observers are built for three examples of engineering interest: a non-holonomic car, a chemical reactor, and an inertial navigation system.
Abstract: This paper presents the theory of invariant observers, i.e, symmetry-preserving observers. We consider an observer to consist of a copy of the system and a correction term, and we propose a constructive method (based on the Cartan moving-frame method) to find all the symmetry-preserving correction terms. The construction relies on an invariant frame (a classical notion) and on an invariant output-error, a less standard notion precisely defined here. Using the theory we build three non-linear observers for three examples of engineering interest: a non-holonomic car, a chemical reactor, and an inertial navigation system. For each example, the design is based on physical symmetries and the convergence analysis relies on the use of invariant state-errors, a symmetry-preserving way to define the estimation error.
256 citations
Authors
Showing all 6591 results
Name | H-index | Papers | Citations |
---|---|---|---|
Francis Bach | 110 | 484 | 54944 |
Olivier Delattre | 103 | 490 | 39258 |
Richard M. Murray | 97 | 711 | 69016 |
Bruno Latour | 96 | 364 | 94864 |
George G. Malliaras | 94 | 382 | 28533 |
George S. Wilson | 88 | 716 | 33034 |
Zhong-Ping Jiang | 81 | 597 | 24279 |
F. Liu | 80 | 428 | 23869 |
Kazu Suenaga | 75 | 329 | 26287 |
Carlo Adamo | 75 | 444 | 36092 |
Edith Heard | 75 | 196 | 23899 |
Enrico Zio | 73 | 1127 | 23809 |
John J. Jonas | 70 | 379 | 21544 |
Bernard Asselain | 69 | 409 | 23648 |
Eric Guibal | 69 | 294 | 16397 |