Výsledky vyhledávání - "Antonio Cañavate-Grimal"

On the use of stochastic spectral methods in deep excavation inverse problems

Autor: Antonio Falcó, Ignacio Paya-Zaforteza, Antonio Cañavate-Grimal, Pedro A. Calderón

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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We use stochastic surrogate models and Bayesian methods to solve inverse problems.We develop an analytical formulation to determine the parameter influence in response.We propose an algorithm to bound the truncation error in surrogate models.We propo

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https://doi.org/10.1016/j.compstruc.2015.06.009

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Metodología para la identificación de parámetros en excavaciones profundas al abrigo de muros pantalla mediante métodos espectrales estocásticos

Autor: Antonio Cañavate Grimal

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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Cañavate Grimal, A. (2014). Metodología para la identificación de parámetros en excavaciones profundas al abrigo de muros pantalla mediante métodos espectrales estocásticos [Tesis doctoral no publicada]. Universitat Politècnica de València. d

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On competitive bidding: scoring and position probability graphs

Autor: María-Carmen González-Cruz, Pablo Ballesteros-Pérez, Antonio Cañavate-Grimal

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] Iso-score curves graph (iSCG) and mathematical relationships between Scoring Parameters (SP) and Forecasting Parameters (FP) can be used in Economic Scoring Formulas (ESF) used in tendering to distribute the score among bidders in the economic p

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Detecting Abnormal and Collusive Bids in Capped Tendering

Autor: Mª Carmen González-Cruz, Antonio Cañavate-Grimal, Pablo Ballesteros-Pérez, Eugenio Pellicer

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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Recent developments in the area of Bid Tender Forecasting have enabled bidders to implement new types of easy-to-use tools for increasing their chances of winning contracts. Although these new tools (such as iso-Score Curve Graphs, Scoring Probabilit

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