Deterministic Energy-Conserving Idempotent Multi-Physics Finite Element Solvers: Metric Acceleration Projection for Real-Time and Embedded Continuum Mechanics

Continuous multi-physics simulation—spanning unilateral contact elastodynamics, incompressible fluid flow (CFD), transient thermo-mechanics, and non-linear plasticity—presents substantial computational challenges for iterative numerical solvers. Commercial finite element (FEM) and multi-physics suites (e.g., Abaqus, ANSYS, LS-DYNA, OpenFOAM) typically rely on non-linear Newton-Raphson tangent iterations, penalty spring regularizations, and iterative Algebraic Multigrid (AMG) or Krylov pressure-Poisson solvers. These classical methods can encounter ill-conditioning, penalty-induced energy drift, time-step cutbacks upon contact chattering, and substantial iteration-dependent latency variations, creating severe bottlenecks for hard real-time execution in 1 kHz robotic Model Predictive Control (MPC) and surgical haptics. In this paper, we present IdemSolver, an in-situ deterministic energy-conserving multi-physics solver grounded in Carl Friedrich Gauss's Principle of Least Constraint (1829) and the Udwadia–Kalaba constrained motion formulation. We formulate physical constraints as single-pass orthogonal metric projection operators in Riemannian acceleration spaces, satisfying exact algebraic idempotence (Π² = Π). IdemSolver formulates four closed-form metric operators: (1) a Gauss-Delassus contact projector ΠM computing exact contact reaction impulses without penalty springs for localized contact patches (m ≤ 100); (2) a Hamiltonian energy hypersurface projector ΠH operating on nullspace velocities to preserve exact total mechanical energy (|ΔE| ≤ 10−7 J); (3) a discrete Hodge-Helmholtz projector Πdiv enforcing mass conservation (∇ · v ≤ 10−14 s−1) in a single pre-factored step without pressure Poisson loops; and (4) an in-situ radial yield surface projector ΠYield for associative non-linear elasto-plasticity without iterative root-finding. We conduct a comparative algorithmic evaluation against industry-standard FEM baselines (Newton-Raphson, Penalty Contact, and AMG-SIMPLE) as well as canonical impact and contact benchmarks. In embedded domains, IdemSolver achieves a deterministic mean step latency of 29.50 µs, a worst-case jitter of 59.80 µs, strictly 0.0 Bytes dynamic heap memory allocation, and guaranteed bounded mechanical energy stability. In non-linear impact simulation: on the canonical Taylor Bar impact benchmark, IdemSolver eliminates penalty eigenvalue inflation, enabling a 1.97× larger stable CFL time step (245.51 ns vs. 124.48 ns), running 1.8× faster than the explicit penalty baseline, and reducing penetration error to 0.001 mm (vs. 0.94 mm); on Hertzian contact, it attains equilibrium in a single pass (0.22 ms), eliminating non-linear tangent refactorization. IdemSolver thus provides a viable deterministic framework for embedded microsecond haptics/MPC and non-linear structural simulation.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-19
DOI
https://doi.org/10.5281/zenodo.22849509
Primary Topic
Dynamics and Control of Mechanical Systems
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

Deterministic Energy-Conserving Idempotent Multi-Physics Finite Element Solvers: Metric Acceleration Projection for Real-Time and Embedded Continuum Mechanics

A. Emre Cetin
Zenodo (CERN European Organization for Nuclear Research)
Dynamics and Control of Mechanical Systems
preprint

Deterministic Energy-Conserving Idempotent Multi-Physics Finite Element Solvers: Metric Acceleration Projection for Real-Time and Embedded Continuum Mechanics

A. Emre Cetin
preprint en

Abstract

Continuous multi-physics simulation—spanning unilateral contact elastodynamics, incompressible fluid flow (CFD), transient thermo-mechanics, and non-linear plasticity—presents substantial computational challenges for iterative numerical solvers. Commercial finite element (FEM) and multi-physics suites (e.g., Abaqus, ANSYS, LS-DYNA, OpenFOAM) typically rely on non-linear Newton-Raphson tangent iterations, penalty spring regularizations, and iterative Algebraic Multigrid (AMG) or Krylov pressure-Poisson solvers. These classical methods can encounter ill-conditioning, penalty-induced energy drift, time-step cutbacks upon contact chattering, and substantial iteration-dependent latency variations, creating severe bottlenecks for hard real-time execution in 1 kHz robotic Model Predictive Control (MPC) and surgical haptics. In this paper, we present IdemSolver, an in-situ deterministic energy-conserving multi-physics solver grounded in Carl Friedrich Gauss's Principle of Least Constraint (1829) and the Udwadia–Kalaba constrained motion formulation. We formulate physical constraints as single-pass orthogonal metric projection operators in Riemannian acceleration spaces, satisfying exact algebraic idempotence (Π² = Π). IdemSolver formulates four closed-form metric operators: (1) a Gauss-Delassus contact projector ΠM computing exact contact reaction impulses without penalty springs for localized contact patches (m ≤ 100); (2) a Hamiltonian energy hypersurface projector ΠH operating on nullspace velocities to preserve exact total mechanical energy (|ΔE| ≤ 10−7 J); (3) a discrete Hodge-Helmholtz projector Πdiv enforcing mass conservation (∇ · v ≤ 10−14 s−1) in a single pre-factored step without pressure Poisson loops; and (4) an in-situ radial yield surface projector ΠYield for associative non-linear elasto-plasticity without iterative root-finding. We conduct a comparative algorithmic evaluation against industry-standard FEM baselines (Newton-Raphson, Penalty Contact, and AMG-SIMPLE) as well as canonical impact and contact benchmarks. In embedded domains, IdemSolver achieves a deterministic mean step latency of 29.50 µs, a worst-case jitter of 59.80 µs, strictly 0.0 Bytes dynamic heap memory allocation, and guaranteed bounded mechanical energy stability. In non-linear impact simulation: on the canonical Taylor Bar impact benchmark, IdemSolver eliminates penalty eigenvalue inflation, enabling a 1.97× larger stable CFL time step (245.51 ns vs. 124.48 ns), running 1.8× faster than the explicit penalty baseline, and reducing penetration error to 0.001 mm (vs. 0.94 mm); on Hertzian contact, it attains equilibrium in a single pass (0.22 ms), eliminating non-linear tangent refactorization. IdemSolver thus provides a viable deterministic framework for embedded microsecond haptics/MPC and non-linear structural simulation.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Dynamics and Control of Mechanical Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.