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Bernardo Horowitz
Researcher at Federal University of Pernambuco
Publications - 50
Citations - 224
Bernardo Horowitz is an academic researcher from Federal University of Pernambuco. The author has contributed to research in topics: Truss & Sequential quadratic programming. The author has an hindex of 5, co-authored 45 publications receiving 167 citations.
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Surrogate based optimal waterflooding management
TL;DR: This work solves the optimal waterflooding management problem using as design variables the rates allocated to each injector and producer well under different operational conditions and adopted Kriging data fitting approximation to build surrogate models to be used in the context of local optimization.
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A concurrent efficient global optimization algorithm applied to polymer injection strategies
Bernardo Horowitz,Leonardo José do Nascimento Guimarães,Vinicius Dantas,Silvana M. B. Afonso +3 more
TL;DR: The original EGO algorithm is modified to exploit parallelism and applied to a polymer injection optimization problem, which maximizes economical return by controlling the starting time and slug duration in each injector well.
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Coupled hydro-mechanical fault reactivation analysis incorporating evidence theory for uncertainty quantification
Leonardo Cabral Pereira,Leonardo Cabral Pereira,Leonardo Cabral Pereira,Leonardo José do Nascimento Guimarães,Bernardo Horowitz,Marcelo Sánchez +5 more
TL;DR: In this paper, a coupled hydro-mechanical formulation is proposed to estimate the maximum allowable injection pressure in a case study based on information gathered from an actual field to illustrate the capabilities of the proposed framework.
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Efficient Analysis of Beam Sections Using Softened Truss Model
TL;DR: In this article, an efficient solution procedure is proposed to compute the pre-peak behavior of reinforced concrete beam cross sections under torsion and shear, based on the combined-action softened truss model (CA-STM), which idealizes rectangular RC cross sections as the association of four cracked panels.
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Quadratic programming solver for structural optimisation using SQP algorithm
TL;DR: In order to increase efficiency a 'warm start' strategy is proposed whereby the choice of constraints to enter the active set is based on information of previous SQP iterations.