An optimization method for material sound absorption performance based on surrogate model
Acta Acustica, 2022 In some complex engineering design problems, the use of numerical simulation methods to solve the target value often consumes several hours or even longer, which limits the real-time response to the model.
Song Hao +3 more
doaj +1 more source
Efficient simulation-driven design optimization of antennas using co-kriging [PDF]
, 2012 We present an efficient technique for design optimization of antenna structures. Our approach exploits coarse-discretization electromagnetic (EM) simulations of the antenna of interest that are used to create its fast initial model (a surrogate) through ...
Couckuyt, Ivo +3 more
core +1 more source
Clustering spatial autoregressive kriging model for climate: A bibliometric analysis approach [PDF]
International Journal of Data and Network Science, 2023 Climate change is caused by temperature, rainfall, and wind variation in locations that last a long time. This change can be described and predicted using a spatial model, one of which is the Clustering Spatial Autoregressive (SAR) Kriging model.
Annisa Nur Falah +3 more
doaj +1 more source
Ultimate strength reliability analysis of ship plates based on improved AK-MCS method
Zhongguo Jianchuan Yanjiu, 2020 [Objectives] In view of the frequent occurrence of marine accidents caused by low ultimate bearing capacity of ships. To this end, the improved AK-MCS method is proposed for the research of the ultimate strength reliability of ship structures.[Methods ...
LUO Wenjun, WANG Deyu
doaj +1 more source
Nihon Kikai Gakkai ronbunshu, 2015 A Kriging-based method for efficiently searching materials was used to select additive elements in lead-free solders that are effective for suppressing the grain-boundary diffusion, which is the cause of smaller breaking elongation than lead-contained ...
Norihiko NONAKA +4 more
doaj +1 more source
Cost-efficient modeling of antenna structures using Gradient Enhanced Kriging [PDF]
, 2015 Reliable yet fast surrogate models are indispensable in the design of contemporary antenna structures. Data-driven models, e.g., based on Gaussian Processes or support-vector regression, offer sufficient flexibility and speed, however, their setup cost ...
Bekasiewicz, A +5 more
core +2 more sources
Sequential optimization of strip bending process using multiquadric radial basis function surrogate models [PDF]
, 2013 Surrogate models are used within the sequential optimization strategy for forming processes. A sequential improvement (SI) scheme is used to refine the surrogate model in the optimal region. One of the popular surrogate modeling methods for SI is Kriging.
Boogaard, A.H. van den +2 more
core +4 more sources
Applied Sciences, 2019 The utilization of modal frequency sensors is a feasible and effective way to monitor the settlement problem of the transmission tower foundation. However, the uncertainties and interference in the real operation environment of transmission towers highly
Jiajia Shi +2 more
doaj +1 more source
Grade estimation of Zu2 Jajarm deposit by considering imprecise variogram model parameters based on the extension principle [PDF]
International Journal of Mining and Geo-Engineering, 2018 Nowadays, kriging has been accepted as the most common method of grade estimation in mineral resource evaluation stage. Access to the crisp assay data and a variogram model are the necessary means for the utilization of this method. Since fitting a crisp
Saeed Soltani +2 more
doaj +1 more source
Assessment of Groundwater Quality Spatial Distribution and Appointment Optimize Network of Shahrkord Plain Aquifer Using Geostatistical Methods [PDF]
پژوهشهای آبخیزداری, 2019 As the most valuable natural resources, protection and management of groundwater is vital. One of the best ways to protect groundwater resources is monitoring groundwater quality spatial variationsand then managing the water resources exploitations and ...
Mehdi Abdollahi Mansourkhani +3 more
doaj +1 more source