Multiscale and Multidisciplinary Modeling, Experiments and Design
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Performance of composite materials under high-speed impact in extreme environments
Multiscale and Multidisciplinary Modeling, Experiments and Design - - 2019
Crystal plasticity-based homogenized models of transformed β colonies in titanium alloys
Multiscale and Multidisciplinary Modeling, Experiments and Design - Tập 5 - Trang 119-134 - 2021
The microstructure of near α and α + β Ti alloys consists of equiaxed α (HCP)
grains, and lamellar colonies having alternating α and β (BCC) laths. The
orientation and size distribution of α grains, colonies and the laths, as well
as their volume fractions have strong influence on the mechanical properties of
these alloys and is widely studied using crystal plasticity finite element
method (CPFEM)...
Further discussion on newly developed failure criteria for fibrous composites
Multiscale and Multidisciplinary Modeling, Experiments and Design - Tập 1 - Trang 307-316 - 2018
Recently, a new set of failure criteria was proposed by the authors (Kwon and
Darcy in Multiscale Multidiscip Model Exp Des 1(1):3–17, 2018), which was based
on a multiscale modeling technique. The failure criteria used stress and strain
values at the constituent material levels. This paper presented the failure
criteria in terms of a general framework for any reinforced composite material.
The pa...
Correction: Crystal plasticity-based homogenized models of transformed β colonies in titanium alloys
Multiscale and Multidisciplinary Modeling, Experiments and Design - - 2024
A computational study on efficient yield surface calibrations using a crystal plasticity spectral solver
Multiscale and Multidisciplinary Modeling, Experiments and Design - - Trang 1-14 - 2023
A computational framework is presented, capable of calculating virtual loads
using the spectral solver in the DAMASK software for crystal plasticity
simulations in desired stress directions. Calculations are used for the
calibration of yield surfaces. The required spatial resolution is assessed based
on a comparison with the previously published crystal plasticity finite-element
method (CPFEM) and...
Multidisciplinary experiment using steep regular waves to determine ship operating conditions that avoid capsize
Multiscale and Multidisciplinary Modeling, Experiments and Design - Tập 1 - Trang 119-132 - 2018
This paper explores using steep regular waves to identifying safe operating
conditions that avoid capsize. The data is from a multidisciplinary experiment
using an autonomous scale-model running a proportional-derivative controller in
aft of beam steep regular waves. The test explored relative wave headings from
15 $$^\circ $$ to 75 $$^\circ $$ and speeds from 0.1 to 0.4 Froude number. This
effort...
Assessment of Marshall Stability of asphalt concrete with plastic waste using soft computing techniques
Multiscale and Multidisciplinary Modeling, Experiments and Design - Tập 6 Số 4 - Trang 733-745 - 2023
Analysis of laminated composite plates with fluid–structure interaction using multiscale modeling technique
Multiscale and Multidisciplinary Modeling, Experiments and Design - Tập 4 - Trang 51-63 - 2020
A series of numerical modeling and simulations were conducted to understand the
dynamic response and failure of a laminated composite plate which was supported
by water and subjected to dynamic loading. The structure was modelled using the
plate/shell finite elements with displacements degrees of freedom only. The
water medium was stationary and modelled as an acoustic domain using the
cellular au...
Optimizing seasonal discharge predictions: a hybridized approach with AI and non-linear models
Multiscale and Multidisciplinary Modeling, Experiments and Design - - 2024
Discharge prediction plays a crucial role in hydrology and to reduce the flash
flood hazards during monsoon season, it is necessary to build an accurate flow
prediction system. Therefore, to forecast the discharge seasonally, data is
divided into four seasons as Early Winter Season (EWS), Peak Winter Season
(PWS), Monsoon Season (MS) and Summer Spring Season (SSS). For this purpose, a
discharge da...
Employing adaptive neural fuzzy inference system model via meta-heuristic algorithms for predicting undrained shear strength
Multiscale and Multidisciplinary Modeling, Experiments and Design - - Trang 1-15 - 2023
The undrained shear strength (USS) of soil is known as one of the most important
features in structural engineering tasks, such as foundation design, rock fill
and earth dam design, highway and railway design, and stability of slopes. Some
empirical and theoretical procedures have been developed for estimating the USS
based on soil features utilizing field tests in recent years. Almost all of
thes...
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