Results 61 to 70 of about 9,630 (234)

Uncertainty, Sensitivity, and Efficiency Analysis of a Hybrid Piezoelectric–Electromagnetic Energy Harvester

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Digitalization and emerging technologies are increasing the demand for wireless sensing and the Internet of Things (IoT), which provide opportunities for autonomous sources of electricity in the form of energy harvesting systems. This paper focuses on the challenges in hybrid piezoelectric‐electromagnetic kinetic energy harvesting systems that
Petr Sosna, Damian Gaska, Zdeněk Hadaš
wiley   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

Comparing and generating Latin Hypercube designs in Kriging models [PDF]

AStA Advances in Statistical Analysis, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
PISTONE, Giovanni, VICARIO, GRAZIA
openaire   +2 more sources

Enhancing Structural Reliability of Composite Adhesive Joints: An Integrated Experimental‐Numerical‐Machine Learning Framework for Material‐Geometric Co‐Optimization

Polymer Composites, EarlyView.
An integrated experimental, numerical, and explainable machine learning framework for the material‐geometric co‐optimization and multi‐objective Pareto design of robust composite adhesive joints. ABSTRACT The reliability of composite adhesive joints is compromised by non‐linear dependencies between material properties and manufacturing uncertainties ...
Sajjad Karimi
wiley   +1 more source

NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part I: Methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
In this work we present the methods of the areal precipitation nowcasting system NowPrecip version 2. In this version a new methodology is introduced, which, although it shares philosophy and techniques with the original methodology of NowPrecip version 1, can be considered as distinct from that.
I. V. Sideris, A. Ntoumos, A. Berne, A. Hering, P. Juda, M. Boscacci, L. Clementi, U. Germann   +7 more
wiley   +1 more source

Efficient multi-objective shape optimization using proper orthogonal decomposition with variable fidelity concept

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2020
A variable fidelity concept is introduced in a re-parameterization approach based on the proper orthogonal decomposition (POD) to efficiently solve multi-objective aerodynamic shape optimization problems.
Wataru YAMAZAKI
doaj   +1 more source

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff, Gert‐Jan Steeneveld   +1 more
wiley   +1 more source

NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part II: Verification

Quarterly Journal of the Royal Meteorological Society, EarlyView.
In this work we present the verification of the NowPrecip precipitation nowcasting systems (version 1 and version 2). Using 3.5 years of data over the period 2020–2023, their performance is compared with PySTEPS and the ICON numerical weather prediction ensemble by computing deterministic and probabilistic metrics.
A. Ntoumos, I. V. Sideris, A. Berne, A. Hering, P. Juda, M. Gabella, M. Boscacci, L. Clementi, U. Germann   +8 more
wiley   +1 more source

Optimization of Thermal Management for the Environmental Worthiness Design of Aviation Equipment Using Phase Change Materials

Aerospace
A phase change materials (PCM)-based heat sink is an effective way to cool intermittent high-power electronic devices in aerospace applications such as airborne electronics and aircraft external carry. Optimizing the heat sink is significant in designing
Jianjun Zhang, Minwei Li, He Li, Yun Fu, Liangxu Cai   +4 more
doaj   +1 more source

基于改进Kriging模型的主动学习可靠性分析方法

Jixie qiangdu, 2021
Active learning Kriging（ ALK） model is able to only approximate the performance function in a narrow region around the limit state surface.Therefore,the efficiency of reliability analysis is remarkably improved.However,most of the existing strategies ...
陈哲, 杨旭锋, 程鑫
doaj