Edited by: B.H.V. Topping and J. Kruis
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1 | Invited Opening Lecture |
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1.1 |
Modern Finite Element Analysis
with AMORE
K.J. Bathe |
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2 | Invited Lectures |
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2.1 |
Material-informed topology optimization for Wire-and-Arc Additive Manufacturing
M. Bruggi, V. Laghi and T. Trombetti |
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2.2 |
Data-driven macro-micro-macro modelling of rubber-like materials
F.J. Montans, V.J. Amores, I. Ben-Yelun, L. Moreno and J.M. Benítez |
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2.3 |
Rational Robustness Assessment and Design of Multi-storey Buildings
B.A. Izzuddin |
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2.4 |
Rate-independent growth and remodelling of soft biological tissues: a constrained mixture approach for finite element analysis
M. Latorre and J.D. Humphrey |
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2.5 |
Optimal topologies considering fatigue with
reliability constraint
J. Logo, P. Tauzowski and B. Blachowski |
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2.6 |
Multi-scale structural design considering cellular connectivity using machine learning approaches
L. Meng, C. Yang, Y.L. Hou, T. Gao, J.H. Zhu and W.H. Zhang |
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2.7 |
Optimising performance of discrete element method modelling of railway tracks
W. Jia, V. Markine and Y. Guo |
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3 | Recent Advances in Meshfree Methods |
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3.1 |
Fluid-structure interaction simulation by SPH and
reflective boundary conditions
C.A.D. Fraga Filho |
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3.2 |
Wave propagation at the coupling boundary of peridynamics and finite elements
M. Yu and G. Noh |
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3.3 |
A hybrid SBM-MFS methodology to deal with wave
propagation
H. Liravi, R. Arcos, A. Clot, L. Godinho and J. Romeu |
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3.4 |
Meshless simulation of infinitesimal elastoplastic deformation of a 3D body
F. Strnisa, M. Jancic and G. Kosec |
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4 | Robust Structural Design |
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4.1 |
Robustness of Reinforced Concrete Building Structures under Corner Column Loss Scenario
J. Sio and B.A. Izzuddin |
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4.2 |
A Solution Strategy for Robust Topology Optimization when the Nominal and Expected Compliance are the Same
A. Csebfalvi and J. Logo |
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4.3 |
Using neural networks for dimensioning and certification of mechanical systems: model precision and accuracy
Y. El Assami and B. Gely |
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4.4 |
Robust Design Optimization of Structures Using Stochastic Simulation Based Approach
M.A. Khalid and S. Bansal |
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4.5 |
Validation of an automated kriging-based methodology to calibrate PSO parameters: application to parametric optimization of truss structures
J. Tondut, N. Di Cesare and S. Ronel |
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5 | Recent Advances in Topology Optimization |
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5.1 |
A Novel Design Approach of Thin-Walled Structures with Lattices and Stiffeners based on Multi-Material Topology Optimization
Y. Li, T. Gao, Q.Y. Zhou, P. Chen, D.Z. Yin and W.H. Zhang |
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5.2 |
A structure topology optimization approach for architects in Blender 3D
K. Deix and C. Müller |
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5.3 |
Next Steps in Generative Design: Optimization of Thin-Walled Structures
D. Weinberg and N.H. Kim |
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5.4 |
Maximum length scale control in density-based multi-material topology optimization
L.L. Song, J. Zhao, T. Gao, J.J Li, L. Tang, Y. Li and W.H. Zhang |
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5.5 |
Parametric Design Tool for Frameworks with
Minimal Rigidity Condition
A. Ackermann and O. Gaspar |
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5.6 |
An application of multiscale topology optimization with loading uncertainty
M. Bruggi, H. Ismail and J. Lógó |
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6 | Probabilistic Approches to Structural Mechanics |
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6.1 |
Relative probabilistic entropies in engineering reliability analysis
M. Kaminski |
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6.2 |
Acceleration of probabilistic analysis of steel structures by DOProC and Monte Carlo approaches with use of distributed computing
M. Krejsa, J. Brozovsky, P. Lehner and J. Koktan |
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6.3 |
An IRF method for stochastic meshless analysis of 2D beams with lognormally varying random Young's modulus
M. Aswathy and C.O. Arun |
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7 | Non-deterministic modelling and uncertainty management in aerospace and civil engineering |
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7.1 |
Polymorphic Uncertain Time-Dependency in Compressed Wood Exposed to Cyclic Load
F. N. Schietzold, R. Fleischhauer, W. Graf and M. Kaliske |
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7.2 |
Numerical and experimental study of impacts on an aircraft
B. Derias, P. Spiteri and L. Ratsifandrihana |
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8 | Modern trends and new perspectives in numerical modelling of historical masonry structures in seismic areas |
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8.1 |
Discontinuous vs continuous approaches for the nonlinear dynamics of an historic masonry tower
M. Schiavoni, N. Mendes, D.V. Oliveira, G. Milani and F. Clementi |
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8.2 |
Damage assessment of different Churches in Central Italy
M. Schiavoni, E. Giordano, A. Ferrante, F. Clementi and S. Lenci |
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8.3 |
Digital Twin Application for Cultural Heritage Structures via Genetic Algorithms
G. Panagiotis Salachoris, E. Giordano, A. Ferrante, M. Schiavoni, F. Bianconi and F. Clementi |
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8.4 |
Dynamic Identification and Numerical Calibration of a Masonry Tower
F. Bianconi, G. Standoli, E. Giordano, A. Ferrante and F. Clementi |
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9 | Modelling and analysis of masonry arch bridges and vaulted structures |
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9.1 |
Forgotten and suffering structures - detailed
inspection and finite element analysis of two
railroad masonry arches in Poland
B. Sobczyk, J. Chroscielewski, M. Miskiewicz, L. Pyrzowski and K. Wilde |
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9.2 |
Numerical Modelling of Flat Arch Masonry Retaining Walls
H.S. Rathnayake, A. Ahmed, G. Iskander, M.C. Kurukulasuriya and N.G. Shrive |
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9.3 |
Parametric Nonlinear Modelling of 3D Masonry Arch Bridges
S. Grosman, L. Macorini and B.A. Izzuddin |
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9.4 |
Numerical Investigation of the 3D Response of Masonry Skew Arches and Bridges
M.S. El Ashri, S. Grosman, L. Macorini and B.A. Izzuddin |
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9.5 |
Numerical Modelling of Brick-mortar Masonry Structures under Fatigue Loading
A. Soyemi, S. Grosman, L. Macorini and B.A. Izzuddin |
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9.6 |
Evaluation of the Response of a Masonry Cross Vault Subjected to Vertical Loading using the Discrete Macro-Element Method
C. Chacara, F. Cannizzaro, B. Panto, D. Rapicavoli, P.B. Lourenco and I. Calio |
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9.7 |
Advanced nonlinear simulations of a masonry viaduct using a macroscale anisotropic model
B. Panto, S. Grosman, L. Macorini, B.A. Izzuddin, D.V. Oliveira and P.B. Lourenco |
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9.8 |
Simple modeling of reinforced masonry arches for associated and non-associated heterogeneous limit analysis
Y. Hua and G. Milani |
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10 | Structural Dynamics and Earthquake Engineering |
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10.1 |
Pounding of a base-isolated building against
adjacent fixed-supported buildings during near-fault
seismic excitations
E. Mavronicola and P. Komodromos |
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10.2 |
A Recursive Model Updating Algorithm for Multi-element Hybrid Simulation of Structures
F. Mokhtari and A. Imanpour |
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10.3 |
Effect of earthquake characteristics on the peak seismic response of a typical base isolated steel building with mass eccentricities
C. Pavlidou and P. Komodromos |
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10.4 |
A Framework for an artificial intelligence
controlled seismic structural design system using ontologies and SysML
L. Xiang, G. Li and H. Li |
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11 | Design of structures with Seismic Isolation and Energy Dissipation Devices: Optimization and Robustness |
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11.1 |
Analysis of different base isolation systems for
irregular structures under dynamic loadings
D. Cancellara and F. De Angelis |
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11.2 |
Probabilistic analysis of structures equipped with
FVDs accounting for their brittle failure
F. Scozzese, L. Gioiella, E. Tubaldi, L. Ragni, and A.
Dall'Asta |
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11.3 |
The new base-isolated Research Center of the
Camerino University: design and testing
A. Dall'Asta, G. Leoni, F. Micozzi, L. Gioiella, N.
Ceccolini and L. Ragni |
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11.4 |
Vulnerability reduction of structures
under dynamic loadings
D. Cancellara and F. De Angelis |
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12 | Seismic Design, Assessment and Retrofitting of Structures |
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12.1 |
A 3D fiber beam element based on a plastic damage model for prestressed concrete bridges
L. Parente, D. Addessi and E. Spacone |
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12.2 |
Evaluation in probabilistic terms of behaviour of
existing RC structures equipped with friction
pendulum devices including presence of masonry
infills
D. Gino, P. Castaldo, G. Amendola and L. Giordano |
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12.3 |
Genetic algorithm-based optimization procedure for the seismic retrofitting of existing masonry structures
F. Di Trapani, A.P. Sberna, C. Demartino and G.C. Marano |
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12.4 |
Experimental and numerical study on retrofitting of historical masonry vaults by means of fibre-reinforced mortar
C. Chisari, M. Latour, G. Rizzano and G. De Matteis |
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12.5 |
Numerical Analysis of Truss Bridge Subjected to
Earthquake and Flood
S. Fujisawa, Y. Yamaguchi, S. Yotsui, Y. Satofuka and
K. Izuno |
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12.6 |
Strengthening Effects of Steel Truss Bridge Members with Carbon Fibre Reinforced Plastics Sheets
Y. Yamaguchi, H. Kawamura, S. Fujisawa, S. Yotsui, K. Nozaka and K. Izuno |
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12.7 |
Assessment of Progressive Collapse in RC
Buildings and Retrofit Strategy
M. Taklas, Z.A. Al-Sadoon and M. Leblouba |
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13 | Structural Health Monitoring |
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13.1 |
Deep learning-based approaches for damage detection and localisation in large-scale civil infrastructure using vibration-based monitoring methods: a review
M.A. Nyathi, J. Bai and I. Wilson |
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13.2 |
Automation of Frequency Domain Decomposition
for Operational Modal Analysis using Finite
Element Model
S. Lee, M.H. Oh and P.S. Lee |
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13.3 |
Performance of a damage sensitive parameter obtained from different response-based bridge weigh-in-motion
D. Paul and K. Roy |
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13.4 |
Predominant Research Themes in Using Machine Learning in Structural Health Monitoring
M.Z. Akber and X. Zhang |
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14 | Advanced Analysis and Design of Steel and Steel-Concrete Structures |
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14.1 |
Flexural Behavior of Ferrocement Cold-Formed Hollow
Steel Composite Beams
E. Elkassas, A.M. Morsy and M. Marzouck |
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14.2 |
Analytical Elasticity Solution for the Stress Analysis of Arbitrarily-supported Isotropic Beams under Localized Loads
A. Singh and N. Karathanasopoulos |
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14.3 |
Evaluation of Direct Strength Method for Local Buckling Strength of Cold Formed Steel Stiffened Lipped Channels
I.S. Chakka and M.V.A. Kumar |
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14.4 |
Effects of Connector Modelling on Explicit Shell Finite Element Models of Cold-formed Steel Shear Walls
G. Alshamsi, L. Xu, Y. Shi, Y. Zou and X. Yao |
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15 | Structural Analysis and Design |
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15.1 |
Beam model for thermal buckling of thin-walled functionally graded box-beam
S. Kvaternik Simonetti, D. Lanc, G. Turkalj and D. Banic |
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15.2 |
Pendulum Impact Hammer Tests on Spruce Glued Laminated Timber - Preliminary Results
A.S. Cao, M. Lolli and A. Frangi |
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15.3 |
Shear deformable beam model for stability analysis of beam-type structures with composite thin-walled cross sections
D. Banic, G. Turkalj, D. Lanc and S. Kvaternik Simonetti |
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16 | Finite Element Methods for Analysis and Design |
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16.1 |
Study on Stress State of Root Notch of Butt Weld with Variable Wall Thickness
B. Guo, D. Wang, H. Liang, X. Xu and R. Zhan |
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17 | Discrete Element and Finite Element Methods |
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17.1 |
Adaptive coupled discrete/continuous approach for the forming of materials
F. Yahya, C. Hubert, N. Leconte and L. Dubar |
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17.2 |
Discrete Element Method framework to simulate metallic Laser Powder-Bed Fusion additive manufacturing process
W. Leclerc and A. Chams |
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18 | Isogeometric Methods |
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18.1 |
Space-time isogeometric analysis for the simulation of fracture with gradient damage models
F.K. Feutang, S. Lejeunes and D. Eyheramendy |
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19 | Analytical and Numerical Developments in Elastodynamics of Discrete and Continuous Structural Systems |
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19.1 |
Nonlinear quasi-static modelling of cable structures including geometric constraints
M. Ben Wesdou, N. Azouz, P. Joli
and J. Neji |
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19.2 |
Convergence Study of Local Hierarchical Functions for Free Vibration Analysis with Application to Multi-Step Beams
R.K. Dangarwala and K.V. Nagendra Gopal |
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19.3 |
Modal superposition of non-classically damped transient problems with position and velocity dependent force
Z. Lozina, D. Sedlar and A. Bartulovic |
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19.4 |
Time Integration with Subcycling in Lattice Discrete Particle Model
J. Kruis and J. Vorel |
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19.5 |
Quasi-Periodic Galloping Response under Combined Random and Harmonic Excitations
at a Large Frequency Detuning
J. Náprstek, C. Fischer and S. Pospísil |
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20 | Materials Modelling |
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20.1 |
Data-driven characterization of viscoelastic materials using hydroacoustic measurements
L. del Rio-Martin and A. Prieto |
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20.2 |
Finite Element Simulation of Two-dimensional
Photonic Crystals
Z. Yang, J. Yuan and Q. Zou |
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20.3 |
Particle Placement Strategies for Lattice Discrete Particle Models
J. Vorel, J. Vozab, M. Marcon, J. Podrouzek and R. Wan-Wendner |
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20.4 |
Calibration of constitutive models for soils: uncertainties attributed to limited number of laboratory test
T. Janda |
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21 | Neural Networks in Structural Mechanics |
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21.1 |
Designing eco-friendly cement composites mixtures aided by artificial neural networks
S. Czarnecki and M. Moj |
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21.2 |
The prediction of the abrasion resistance of mortars modified with granite powder and fly ash using artificial neural networks
S. Czarnecki, A. Chajec, S. Malazdrewicz and L. Sadowski |
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22 | Machine Learning for Structural Mechanics |
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22.1 |
Development of Crack Detection and Measurement Method Using Deep Learning and Image Processing Techniques
M.A. Nyathi and J. Bai |
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22.2 |
CFD-enabled prediction of aerodynamic coefficients for long-span bridges using machine learning
S. Tinmitonde and X.H. He |
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22.3 |
Interpretable and Flexible Generalization of Evolving Computational Materials' Framework for Heterogeneous Composite Structures
M. Bazroun, Y. Yang and I. Cho |
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22.4 |
Learning virtual sensors of structural stress from on-board instrumentation
of a commercial aircraft
M. Ghienne, A. Limare, L. Platon, T. Barbagelata, P. Escamilla, S. Mzali, M. Liao, S. Lassonde and A. Braun |
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