C
Christian Cremona
Researcher at Bouygues
Publications - 82
Citations - 2077
Christian Cremona is an academic researcher from Bouygues. The author has contributed to research in topics: Structural health monitoring & Symbolic data analysis. The author has an hindex of 24, co-authored 82 publications receiving 1782 citations. Previous affiliations of Christian Cremona include Ministry of Public Works.
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Assessment of vibration-based damage identification techniques
A. Alvandi,Christian Cremona +1 more
TL;DR: In this article, a simple supported beam with different damage levels is used to evaluate the reliability of VBDIT-based damage identification techniques, which use only few mode shapes and/or modal frequencies of the structure that can be easily obtained by dynamic tests.
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Isotropic continuum damage mechanics for concrete under cyclic loading: Stiffness recovery, inelastic strains and frictional sliding
TL;DR: In this article, a three dimensional set of constitutive equations for modelling quasi-brittle materials such as concrete is presented, formulated within the framework of irreversible processes thermodynamics in order to fulfill physical consistency.
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The possibilistic reliability theory: theoretical aspects and applications
Christian Cremona,Y Gao +1 more
TL;DR: The possibilistic reliability theory as mentioned in this paper is based on the possibility theory which uses a new confidence measure: the measure of possibility, which reduces the study to the optimization of a variable function.
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Multivariate statistical analysis for early damage detection
TL;DR: In this paper, a data driven strategy is proposed, consisting in the combination of advanced multivariate statistical methods and quantities, such as principal components, symbolic data and cluster analysis, to detect stiffness reduction in stay cables reaching at least 1%.
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Optimal extrapolation of traffic load effects
TL;DR: In this article, a method for determining optimal fittings of the Rice formula to the tails of outcrossing rate histograms related to traffic load effects is proposed, where an optimal fitting is obtained through a series of statistical tests between successive fittings and the histogram tails.