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The present approach provides an effective and feasible way for impact load identification of engineering structures.
Identification of engineering relationships for further module and process development is established however successfully.
This work discusses identification of engineering design earthquakes referring, as an example, to the Italian case.
The aim of this paper is to bridge the gap between the mathematical theory of maximum likelihood estimation (MLE) for Itô equations and the practice of identification of engineering systems.
The combined results of geomorphic indices and aerial photograph interpretation are used in the identification of engineering constraints and geohazards as related to gully development, badland formation and the formation of landslides.
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The numerical results, presently obtained via EnKF-like simulations with or without a reduced-rank unscented transformation, clearly indicate remarkably superior filter convergence and accuracy vis-à-vis most available filtering schemes and eminent applicability of the methods to higher dimensional dynamic system identification problems of engineering interest.
Automated modal parameter identification of civil engineering structures has been analyzed in a previous paper.
Standard methods for the dynamic identification of civil engineering structures and mechanical systems generally rely on the determination of eigenfrequencies/eigenvectors and damping.
Here we review the application of systems biology tools for the identification of metabolic engineering targets which may lead to reduced development time for efficient cell factories.
In this paper, we propose and create an efficient conjugate gradient method (MCG) based on a new operator, prove its stability and convergence and apply it to the multi-source dynamic loads identification of practical engineering structure.
GEMs can also be used to predict genotypic-phenotypic relationships [ 22], and for the identification of metabolic engineering targets [ 23].
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