Results 131 to 140 of about 702,143 (289)

Investigation of Oxygen‐Free Wetting Behavior of Aluminum on Copper via Molecular Dynamics Simulations and Experiments

Advanced Engineering Materials, EarlyView.
The wettability of aluminum droplets (Al) on different copper substrates (Cu), where liquid Al spreads on solid Cu surfaces to form a liquid–solid interface, is studied numerically and experimentally. The experimental and numerical results show good agreement in the fast‐spreading regime.
Shan Lyu, Timon Steinhoff, Finn‐Lennard Janthur, Sarah Seffer, Jörg Hermsdorf, Christian Klose, Ludger Overmeyer, Hans‐Jürgen Maier, Nina Merkert   +8 more
wiley   +1 more source

Machine learning prediction models for ground motion parameters and seismic damage assessment of buildings at a regional scale

Resilient Cities and Structures
This study examines the feasibility of using a machine learning approach for rapid damage assessment of reinforced concrete (RC) buildings after the earthquake.
Sanjeev Bhatta, Xiandong Kang, Ji Dang
doaj   +1 more source

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

Advanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat, Guido Barale, John Stavridis, Ehsan Norouzi, Jin‐Yoo Suh, Dong‐Ik Kim, Luca Iuliano, Abdollah Saboori   +7 more
wiley   +1 more source

Modelling the Importance of Ground and Strong‐Motion Variables on the Damage Status in the 2023 Kahramanmaraş Earthquakes Using Supervised Machine Learning

Geoscience Data Journal
The damage status of 44 locations was investigated, incorporating ground condition parameters such as Vs30, engineering bedrock depth (EBd), and predominant frequency (f0), as well as strong‐motion parameters including PGA, Repi, and Rrup (epicentre and ...
Mustafa Senkaya, Serhat E. Akhanlı, Ali Silahtar, Hasan Karaaslan   +3 more
doaj   +1 more source

STATISTICAL ANALYSIS OF PARAMETERS OF STRONG GROUND MOTIONS DATABASE

Геология и геофизика Юга России, 2013
В работе рассмотрена зависимость частотных характеристик от магнитуды вблизи эпицентра события и вдали от него на основе инструментальных записей землетрясений системы KNET с мая 1996 г по декабрь 2012 г. The dependence of the frequency characteristics on ...
openaire   +2 more sources

Wind speed and direction shears with associated vertical motion during strong surface winds [PDF]

Strong surface winds recorded at the NASA 150-Meter Ground Winds Tower facility at Kennedy Space Center, Florida, are analyzed to present occurrences representative of wind shear and vertical motion known to be hazardous to the ascent and descent of ...
Alexander, M. B., Camp, D. W.
core   +1 more source

Resistance Rapid Heating of Aluminum Coatings in an Extreme High Vacuum–Adequate Atmosphere for Hot Stamping

Advanced Engineering Materials, EarlyView.
The subject of this work is the development of a corrosion‐protective coating on steel sheets for form hardening. Rapid heating in an extreme high vacuum (XHV)‐adequate atmosphere is a useful method to prevent oxidation during alloying of 22MnB5 and aluminum to obtain a metallurgical bonding.
Lorenz Albracht, Alexander Schnettger, Ulrich Holländer, Sven Hübner, Bernd‐Arno Behrens, Hans Jürgen Maier   +5 more
wiley   +1 more source

An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management

Remote Sensing
Predicting macroseismic intensity from instrumental ground motion parameters remains a complex task due to the nonlinear relationship with observed damage patterns.
Federico Mori, Giuseppe Naso
doaj   +1 more source

A computer program for the determination of the acoustic pressure signature of helicopter rotors due to blade thickness [PDF]

A computer program is presented for the determination of the thickness noise of helicopter rotors. The results were obtained in the form of an acoutic pressure time history.
Farassat, F., Mall, G. H.
core   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source