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Institution

Mines ParisTech

EducationParis, 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
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Journal ArticleDOI
TL;DR: This article deduces stabilizing control laws for a single horizontal reach without friction for a general class of hyperbolic systems which can describe canal networks with more general topologies by means of a Riemann invariants approach.

290 citations

Book ChapterDOI
01 Jan 1993
TL;DR: This paper studies precise and efficient chaotic iteration strategies for computing fixed points of continuous functions over complete lattices of program properties when lattices are of infinite height and speedup techniques have to be used.
Abstract: interpretation is a formal method that enables the static and automatic determination of run-time properties of programs. This method uses a characterization of program invariants as least and greatest fixed points of continuous functions over complete lattices of program properties. In this paper, we study precise and efficient chaotic iteration strategies for computing such fixed points when lattices are of infinite height and speedup techniques, known as widening and narrowing, have to be used. These strategies are based on a weak topological ordering of the dependency graph of the system of semantic equations associated with the program and minimize the loss in precision due to the use of widening operators. We discuss complexity and implementation issues and give precise upper bounds on the complexity of the intraprocedural and interprocedural abstract interpretation of higher-order programs based on the structure of their control flow graph.

288 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used a computer-aided video extensometer to calculate the effective strain and the effective stress in the midplane of hourglass-shaped tensile specimens.
Abstract: A novel technique has been developed to record the intrinsic plastic behaviour of ductile materials by monitoring the effective strain and the effective stress in the mid-plane of hour-glass-shaped tensile specimens. The method utilizes a computer-aided video extensometer which analyses the sample profile in real time. The effective strain is computed automatically from the minimum diameter, and the effective stress is deduced from the applied load by taking into account the stress triaxiality corresponding to the local radius of curvature of the sample profile. Furthermore, a digital closed-loop system controls the ram speed of the hydraulic tensile testing machine in such a way that the local effective strain rate is maintained at a constant value. It is shown that most polymeric and metallic materials are entitled to be investigated by this method, which gives access in real time to the constitutive plastic equation, up to strains far beyond the necking point. The capabilities of the technique are illustrated and discussed critically, with more details for two polymers of different structures: polyethylene and polycarbonate.

287 citations

Journal ArticleDOI
L. Remy1
TL;DR: In this article, the amount of twins vs applied strain was determined by quantitative microscopy at various temperatures in a Co-33Ni alloy, and the approach to saturation was described by two parameters which are temperature dependent through the temperature variation of stacking fault energy.

286 citations

Journal ArticleDOI
TL;DR: In this article, the authors studied the relationship between the following two properties: P1: the system x = f(x, y), y = v is locally asymptotically stabilizable; and P2: the systems x = r n, y ϵ R, r n, r r, r r is locally stabilizable, where r n is the dimension of the system.

285 citations


Authors

Showing all 6591 results

NameH-indexPapersCitations
Francis Bach11048454944
Olivier Delattre10349039258
Richard M. Murray9771169016
Bruno Latour9636494864
George G. Malliaras9438228533
George S. Wilson8871633034
Zhong-Ping Jiang8159724279
F. Liu8042823869
Kazu Suenaga7532926287
Carlo Adamo7544436092
Edith Heard7519623899
Enrico Zio73112723809
John J. Jonas7037921544
Bernard Asselain6940923648
Eric Guibal6929416397
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202315
202264
2021274
2020260
2019250
2018249