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🔍 piotr zelasko 📂 Engineering
Showing 52 results for "piotr zelasko" in Engineering
Engineering Preprint PDF DOI

A variational multi-phase model for elastoplastic materials with microstructure evolution

Sarah Dinkelacker-Steinhoff, Klaus Hackl · 2026

A general model is formulated for elasto-plastic materials undergoing linear kinematic hardening to describe microstructure evolution associated with phase transformations. Using infinitesimal strain …

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Engineering Preprint PDF DOI

Frictional Contact Solving for Material Point Method

Etienne Menager (WILLOW, DI-ENS), Justin Carpentier (WILLOW, DI-ENS) · 2026

Accurately handling contact with friction remains a core bottleneck for Material Point Method (MPM), from reliable contact point detection to enforcing frictional contact laws (non-penetration, Coulom…

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Engineering Preprint PDF DOI

Style-constrained inverse design of microstructures with tailored mechanical properties using unconditional diffusion models

Weipeng Xu, Ziyuan Xie, Haoju Lin, Xinyu Wang, Guangjin Mou, Tianju Xue · 2026

Deep generative models, particularly denoising diffusion models, have achieved remarkable success in high-fidelity generation of architected microstructures with desired properties and styles. Neverth…

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Engineering Preprint PDF DOI

A comprehensive comparison of neural operators for 3D industry-scale engineering designs

Weiheng Zhong, Qibang Liu, Diab Abueidda, Seid Koric, Hadi Meidani · 2025

Neural operators have emerged as powerful tools for learning nonlinear mappings between function spaces, enabling real-time prediction of complex dynamics in diverse scientific and engineering applica…

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Engineering Preprint PDF DOI

E$^2$-TFA based multiscale analysis of failure in elasto-plastic composites

Harpreet Singh · 2025

This paper describes a novel homogenization methodology for analyzing the failure of elastoplastic composite materials based on elastic and eigen influence tensors-driven transformation field analysis…

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Engineering Preprint PDF DOI

Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions

Jaewan Park, Farid Ahmed, Kazuma Kobayashi, Seid Koric, Syed Bahauddin Alam, Iwona Jasiuk, Diab Abueidda · 2025

Video-diffusion models have recently set the standard in video generation, inpainting, and domain translation thanks to their training stability and high perceptual fidelity. Building on these strengt…

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Engineering Preprint PDF DOI

Manipulating Elasto-Plastic Objects With 3D Occupancy and Learning-Based Predictive Control

Zhen Zhang, Xiangyu Chu, Yunxi Tang, Lulu Zhao, Jing Huang, Zhongliang Jiang, K. W. Samuel Au · 2025

Manipulating elasto-plastic objects remains a significant challenge due to severe self-occlusion, difficulties of representation, and complicated dynamics. This work proposes a novel framework for ela…

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Engineering Preprint PDF DOI

Manipulation of Elasto-Flexible Cables with Single or Multiple UAVs

Chiara Gabellieri, Lars Teeuwen, Yaolei Shen, Antonio Franchi · 2025

This work considers a large class of systems composed of multiple quadrotors manipulating deformable and extensible cables. The cable is described via a discretized representation, which decomposes it…

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Engineering Preprint PDF DOI

An enhanced single Gaussian point continuum finite element formulation using automatic differentiation

Njomza Pacolli, Ahmad Awad, Jannick Kehls, Bjorn Sauren, Sven Klinkel, Stefanie Reese, Hagen Holthusen · 2024

This contribution presents an improved low-order 3D finite element formulation with hourglass stabilization using automatic differentiation (AD). Here, the former Q1STc formulation is enhanced by an a…

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Engineering Preprint PDF DOI

Design of a Flexible Robot Arm for Safe Aerial Physical Interaction

Julien Mellet, Andrea Berra, Achilleas Santi Seisa, Viswa Sankaranarayanan, Udayanga G.W.K.N. Gamage, Miguel Angel Trujillo Soto, Guillermo Heredia, George Nikolakopoulos, Vincenzo Lippiello, Fabio Ruggiero · 2024

This paper introduces a novel compliant mechanism combining lightweight and energy dissipation for aerial physical interaction. Weighting 400~g at take-off, the mechanism is actuated in the forward bo…

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Engineering Preprint PDF DOI

Parsimonious Universal Function Approximator for Elastic and Elasto-Plastic Cavity Expansion Problems

Xiao-Xuan Chen, Pin Zhang, Hai-Sui Yu, Zhen-Yu Yin, Brian Sheil · 2024

Cavity expansion is a canonical problem in geotechnics, which can be described by partial differential equations (PDEs) and ordinary differential equations (ODEs). This study explores the potential of…

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Engineering Preprint PDF DOI

LLM-Craft: Robotic Crafting of Elasto-Plastic Objects with Large Language Models

Alison Bartsch, Amir Barati Farimani · 2024

When humans create sculptures, we are able to reason about how geometrically we need to alter the clay state to reach our target goal. We are not computing point-wise similarity metrics, or reasoning …

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Engineering Preprint PDF DOI

A Reduced-Order Resistive Force Model for Robotic Foot-Mud Interactions

Xunjie Chen, Jingang Yi, Jerry Shan · 2024

Legged robots are well-suited for broad exploration tasks in complex environments with yielding terrain. Understanding robotic foot-terrain interactions is critical for safe locomotion and walking eff…

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Engineering Preprint PDF DOI

A plastic correction algorithm for full-field elasto-plastic finite element simulations : critical assessment of predictive capabilities and improvement by machine learning

Abhishek Palchoudhary, Simone Peter, Vincent Maurel, Cristian Ovalle, Pierre Kerfriden · 2024

This paper introduces a new local plastic correction algorithm that is aimed at accelerating elasto-plastic finite element (FE) simulations for structural problems exhibiting localised plasticity (aro…

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Engineering Preprint PDF DOI

The Discontinuous Strain Method: accurately representing fatigue and failure

Leon Herrmann, Alireza Daneshyar, Stefan Kollmannsberger · 2023

Fatigue simulation requires accurate modeling of unloading and reloading. However, classical ductile damage models treat deformations after complete failure as irrecoverable -- which leads to unphysic…

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Engineering Preprint PDF DOI

Incremental Neural Controlled Differential Equations for Modeling of Path-dependent Material Behavior

Yangzi He, Shabnam J. Semnani · 2023

Data-driven surrogate modeling has emerged as a promising approach for reducing computational expenses of multiscale simulations. Recurrent Neural Network (RNN) is a common choice for modeling of path…

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Engineering Preprint PDF DOI

A new paradigm for the efficient inclusion of stochasticity in engineering simulations

Hendrik Geisler, Cem Erdogan, Jan Nagel, Philipp Junker · 2023

As a physical fact, randomness is an inherent and ineliminable aspect in all physical measurements and engineering production. As a consequence, material parameters, serving as input data, are only kn…

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Engineering Preprint PDF DOI

Incorporating sufficient physical information into artificial neural networks: a guaranteed improvement via physics-based Rao-Blackwellization

Gian-Luca Geuken, Jorn Mosler, Patrick Kurzeja · 2023

The concept of Rao-Blackwellization is employed to improve predictions of artificial neural networks by physical information. The error norm and the proof of improvement are transferred from the origi…

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Engineering Preprint PDF DOI

Differentiable Cloth Parameter Identification and State Estimation in Manipulation

Dongzhe Zheng, Siqiong Yao, Wenqiang Xu, Cewu Lu · 2023

In the realm of robotic cloth manipulation, accurately estimating the cloth state during or post-execution is imperative. However, the inherent complexities in a cloth's dynamic behavior and its near-…

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Engineering Preprint PDF DOI

A quantum annealing-sequential quadratic programming assisted finite element simulation for non-linear and history-dependent mechanical problems

Van-Dung Nguyen, Ling Wu, Francoise Remacle, Ludovic Noels · 2023

We propose a framework to solve non-linear and history-dependent mechanical problems based on a hybrid classical computer -- quantum annealer approach. Quantum Computers are anticipated to solve parti…

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