Results 51 to 60 of about 113,545 (266)
ooDACE toolbox: a flexible object-oriented Kriging implementation [PDF]
, 2014 When analyzing data from computationally expensive simulation codes, surrogate modeling methods are firmly established as facilitators for design space exploration, sensitivity analysis, visualization and optimization.
Couckuyt, Ivo +2 more
core
Deep Underground Science and Engineering, EarlyView.Fluid flow through a single fracture is commonly described by the cubic law. However, deviations from this model are expected because natural fracture surfaces are rough and in contact with each other in discrete regions. In this study, the interactions between fracture closure, contact area, and hydraulic characterization of mesoscopic‐scale rough ...
Chenghao Han +5 more
wiley +1 more source
Frontiers in Earth Science, 2023 A high-precision, complex, three-dimensional (3D) geological model can directly express the attributes of stratum thickness, geological structure, lithology and spatial form, which can provide a reliable basis for the development and utilization of ...
Xiaozheng Liu +4 more
doaj +1 more source
An informational approach to the global optimization of expensive-to-evaluate functions
, 2007 In many global optimization problems motivated by engineering applications, the number of function evaluations is severely limited by time or cost. To ensure that each evaluation contributes to the localization of good candidates for the role of global ...
Département Signaux +5 more
core +5 more sources
Multi-objective design of antenna structures using variable-fidelity EM simulations and co-kriging [PDF]
, 2014 A methodology for low-cost multi-objective design of antenna structures is proposed. To reduce the computational effort of the design process the initial Pareto front is obtained by optimizing the response surface approximation (RSA) model obtained from ...
Couckuyt, Ivo +3 more
core +1 more source
Localized/Shrinkage Kriging Predictors [PDF]
Mathematical Geosciences, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Asfaw, Zeytu Gashaw, Omre, Henning
openaire +2 more sources
Deep Underground Science and Engineering, EarlyView.B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza +4 more
wiley +1 more source
Physical attributes of a pasture soil in southeast Goiás determined by geostatistics [PDF]
Engenharia Agrícola, 2016 This study aimed to evaluate the spatial dependence of physical attributes in a soil cultivated with Brachiaria grass. A 12-m regular sampling grid was established within an area of 3.500 m2.
Gabriel G. de G. Cardoso +2 more
doaj +1 more source
Water Policy, 2023 Analysis of extreme annual rainfall in the six north-east Indian states of Assam, Meghalaya, Nagaland, Manipur, Mizoram, and Tripura using the deterministic interpolation technique of inverse distance weighting (IDW), the geospatial interpolation ...
Shivam Agarwal +2 more
doaj +1 more source
Data Driven Surrogate Based Optimization in the Problem Solving Environment WBCSim [PDF]
, 2009 Large scale, multidisciplinary, engineering designs are always difficult due to the complexity and dimensionality of these problems. Direct coupling between the analysis codes and the optimization routines can be prohibitively time consuming due to the ...
Deshpande, S. +4 more
core +3 more sources