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feat(poroelastic): add Biot coupled u–p volume kernel
New BiotPoroelasticKernel with README for steady/transient coupled displacement and pore pressure.
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# SPDX-FileCopyrightText: 2015-2026 Jukka Aho
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# SPDX-License-Identifier: MIT
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# `src/domains/poroelastic/`
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Steady quasi-static **Biot** coupling: solid displacement `u` with vertex
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pore pressure `p`, Darcy flow in the pressure block, Biot coefficient `α`, and
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optional fluid **storage** `storage_S` on pressure (L² mass for `assemble_M!`).
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See `kernel.jl` for the weak form and `PorePressure` in `src/fields/api.jl`
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for the scalar field tag.
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Monolithic time stepping (e.g. backward Euler on `(K + M/dt)`) can use the
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same `DOFBasedCOOCache` with `assemble!` + `assemble_M!`. The mass operator
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includes `M_pp` (`storage_S`), `M_pu` and `M_up` (`α` times the divergence
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pairings aligned with the steady `K_pu` / `K_up` blocks), and optional
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consistent `M_uu` from solid density `ρ` (same as `ContinuumKernel` mass). Solid
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acceleration dynamics beyond this `M_uu` slot are not part of
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this kernel.
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Tests: `test/domains/poroelastic/` (Terzaghi-style single-drainage column with
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uniform IC vs Fourier when `α = 0` in `test_biot_terzaghi_uniform_ic.jl`, and
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coupled `α > 0` refinement checks in `test_biot_terzaghi_coupled_refinement.jl`).
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The thermo-poroelastic analogue for uncoupled **thermal** diffusion on a column
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is `test/domains/thermo_poroelastic/test_thm_column_thermal_decay.jl`.
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# SPDX-FileCopyrightText: 2015-2026 Jukka Aho
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# SPDX-License-Identifier: MIT
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#=
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Linear quasi-steady **Biot poroelasticity** (small strain) on a single mesh:
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vertex displacement `u` (same layout as [`ContinuumKernel`](@ref)) plus a
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scalar **pore pressure** `p` at vertices (same low-order layout as
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[`ThermoElasticKernel`](@ref) uses for temperature).
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Weak form (steady stiffness blocks; no body loads shown):
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∫ ℂ : ε(u) : ε(v) dΩ − α ∫ p · div(v) dΩ = rhs_u(v)
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− α ∫ q · div(u) dΩ + ∫ k ∇p · ∇q dΩ = rhs_p(q)
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with `ℂ` and small-strain `ε(u)` from [`compute_stress`](@ref) on
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`mech_material`, isotropic Darcy conductivity tensor `k` from
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[`HydraulicConductivity`](@ref) (`k = K I` in 3D), and **Biot coefficient**
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`α ≥ 0` (often denoted `b` in geotechnical notation).
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The off-diagonal sign pattern matches [`ThermoElasticKernel`](@ref) with
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`β → α`: both coupling blocks use the same `-α ∫ (∂N_i/∂x_α) N_j` /
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`-α ∫ N_i (∂N_j/∂x_β)` structure so the assembled `K` stays symmetric.
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For transient **storage + volumetric strain rate** in the fluid mass balance,
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`assemble_M!` / `apply_M!` add:
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M_pp[i,j] = storage_S · ∫ N_i N_j dΩ,
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M_pu[i,j] = α · ∫ N_i^p (∂N_j^u/∂x_{c_j}) dΩ,
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M_up[i,j] = α · ∫ (∂N_i^u/∂x_{c_i}) N_j^p dΩ,
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with `storage_S ≥ 0` and `α ≥ 0`. The `M_pu` / `M_up` blocks are Galerkin
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partners of the steady `K_pu` / `K_up` couplings (assembled `M_pu = -K_pu`,
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`M_up = -K_up` for the same mesh and quadrature). Optional solid density
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`ρ ≥ 0` adds a consistent **`M_uu`** on displacements (same microkernel as
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[`ContinuumKernel`](@ref) with `density = ρ`; `ρ = 0` skips). Rows with
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`storage_S = 0` and `α = 0` still allow a transient-only mechanical mass when
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`ρ > 0`.
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`operator_is_posdef` is `false`: even though this symmetric operator can
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be elliptic in some parameter regimes, downstream solvers should not
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assume SPD (compare mixed `u`–`p` solids).
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# DOF template
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```julia
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S = @DOFSet{u::DOF{Displacement{3}, Vertex}, p::DOF{PorePressure, Vertex}}
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kernel = BiotPoroelasticKernel(
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ContinuumFormulation{ThreeDimensional}(),
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LinearElastic(E = 3.0e10, ν = 0.25),
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HydraulicConductivity(K = 1.0e-12),
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0.8,
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0.0,
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0.0,
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)
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```
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=#
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using Tensors
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using ..JuliaFEM: AbstractKernel, AbstractFormulation
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using ..JuliaFEM: ContinuumFormulation, AbstractContinuumTheory
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using ..JuliaFEM: AbstractMaterial, LinearElastic, HydraulicConductivity
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using ..JuliaFEM: hydraulic_conductivity_tensor
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using ..JuliaFEM: ThermoElasticQPBuffer
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using ..JuliaFEM: AssemblyMaterialWorkspace
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using ..JuliaFEM: compute_stiffness_value
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import ..JuliaFEM: qpoint_buffer_eltype, update_qpoint_buffer!, evaluate_entry,
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evaluate_mass_entry,
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reference_fields, get_field, dofs_per_node
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using ..JuliaFEM: DOFLayoutEntry, field_idx, entity_local, component
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"""
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BiotPoroelasticKernel{Theory, MatM, MatF}
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Coupled poroelastic kernel: `u` (3 DOFs / node) + pore pressure `p` (1 DOF /
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node). See the file-level comment for the steady weak form.
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# Fields
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- `formulation::ContinuumFormulation{Theory}`
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- `mech_material::MatM` — mechanical solid (`LinearElastic`, …)
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- `flow_material::MatF` — [`HydraulicConductivity`](@ref) (Darcy mobility `K`)
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- `α::Float64` — Biot–Willis coefficient (set to `0.0` to recover a block-
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diagonal elasticity + Darcy potential split for regression tests)
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- `storage_S::Float64` — fluid storage coefficient on pressure (`≥ 0`);
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`0` skips the `M_pp` block; `M_pu` and `M_up` still appear when `α > 0`
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- `density::Float64` — solid mass density `ρ` (`≥ 0`) on `u` for `M_uu`; `0`
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skips the displacement mass block (quasi-static default)
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# Example
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```julia
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S = @DOFSet{u::DOF{Displacement{3}, Vertex}, p::DOF{PorePressure, Vertex}}
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kernel = BiotPoroelasticKernel(
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ContinuumFormulation{ThreeDimensional}(),
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LinearElastic(E = 3.0e10, ν = 0.25),
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HydraulicConductivity(K = 1.0e-12),
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0.8,
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0.0,
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0.0,
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)
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```
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"""
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struct BiotPoroelasticKernel{Theory<:AbstractContinuumTheory,
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MatM<:AbstractMaterial,
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MatF<:HydraulicConductivity} <: AbstractKernel
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formulation::ContinuumFormulation{Theory}
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mech_material::MatM
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flow_material::MatF
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α::Float64
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storage_S::Float64
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density::Float64
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function BiotPoroelasticKernel(
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formulation::ContinuumFormulation{Theory},
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mech_material::MatM,
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flow_material::MatF,
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α::Float64,
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storage_S::Float64,
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density::Float64,
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) where {Theory<:AbstractContinuumTheory,
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MatM<:AbstractMaterial,
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MatF<:HydraulicConductivity}
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α ≥ 0.0 || throw(ArgumentError("Biot coefficient α must be ≥ 0, got α = $α"))
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storage_S ≥ 0.0 ||
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throw(ArgumentError("storage_S must be ≥ 0, got storage_S = $storage_S"))
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density ≥ 0.0 ||
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throw(ArgumentError("density must be ≥ 0, got density = $density"))
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return new{Theory, MatM, MatF}(
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formulation,
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mech_material,
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flow_material,
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α,
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storage_S,
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density,
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)
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end
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end
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function BiotPoroelasticKernel(
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formulation::ContinuumFormulation{Theory},
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mech_material::MatM,
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flow_material::MatF,
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α::Float64,
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storage_S::Float64,
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) where {Theory<:AbstractContinuumTheory,
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MatM<:AbstractMaterial,
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MatF<:HydraulicConductivity}
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return BiotPoroelasticKernel(formulation, mech_material, flow_material, α, storage_S, 0.0)
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end
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function BiotPoroelasticKernel(
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formulation::ContinuumFormulation{Theory},
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mech_material::MatM,
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flow_material::MatF,
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α::Float64,
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) where {Theory<:AbstractContinuumTheory,
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MatM<:AbstractMaterial,
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MatF<:HydraulicConductivity}
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return BiotPoroelasticKernel(formulation, mech_material, flow_material, α, 0.0, 0.0)
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end
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"""Convenience constructor with `α = 0` and `storage_S = 0` (block-diagonal steady split)."""
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function BiotPoroelasticKernel(
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formulation::ContinuumFormulation{Theory},
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mech_material::MatM,
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flow_material::MatF,
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) where {Theory<:AbstractContinuumTheory,
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MatM<:AbstractMaterial,
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MatF<:HydraulicConductivity}
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return BiotPoroelasticKernel(formulation, mech_material, flow_material, 0.0, 0.0, 0.0)
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end
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@inline operator_is_posdef(::BiotPoroelasticKernel) = false
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@inline dofs_per_node(::BiotPoroelasticKernel) = 4
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function get_field(::K) where {K<:BiotPoroelasticKernel}
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error("$(K) is multi-field — use `local_dof_layout(E)` and " *
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"`elem.dof_indices` instead of `get_field(kernel)`.")
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end
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# Reuse the thermo-elastic per-IP buffer layout (elasticity tangent + rank-2 tensor).
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@inline qpoint_buffer_eltype(::BiotPoroelasticKernel) = ThermoElasticQPBuffer
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@inline function reference_fields(kernel::BiotPoroelasticKernel)
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ε_ref = zero(SymmetricTensor{2,3,Float64,6})
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σ_ref, 𝔻_ref, _ = compute_stress(kernel.mech_material, ε_ref, NamedTuple(), 0.0)
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q_ref = zero(Vec{3,Float64})
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k_ref = hydraulic_conductivity_tensor(kernel.flow_material)
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return ((σ = σ_ref, 𝔻 = 𝔻_ref, q = q_ref, k = k_ref), NamedTuple())
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end
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@inline function update_qpoint_buffer!(
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buffer::AbstractVector{ThermoElasticQPBuffer},
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workspace::AssemblyMaterialWorkspace{FieldType, StateType},
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::BiotPoroelasticKernel,
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) where {FieldType, StateType}
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fields = getfield(workspace, 1)
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@inbounds for q in eachindex(buffer)
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f = fields[q]
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buffer[q] = ThermoElasticQPBuffer(f.𝔻, f.k)
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end
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return nothing
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end
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"""
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evaluate_entry(kernel::BiotPoroelasticKernel, geometry_cache,
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qp_vec, layout_i, layout_j, elem_id::Int) -> Float64
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| (field_i, field_j) | block | contribution |
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| ------------------ | ----- | ------------ |
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| (1, 1) | K_uu | `Σ_q B_iα : ℂ : B_jβ · detJ_w` |
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| (2, 2) | K_pp | `Σ_q ∇N_i · k · ∇N_j · detJ_w` |
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| (1, 2) | K_up | `−α · Σ_q (∂N_i/∂x_α) · N_j · detJ_w` |
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| (2, 1) | K_pu | `−α · Σ_q N_i · (∂N_j/∂x_β) · detJ_w` |
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"""
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@inline function evaluate_entry(
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kernel::BiotPoroelasticKernel,
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geometry_cache,
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qp_vec::AbstractVector{ThermoElasticQPBuffer},
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layout_i::DOFLayoutEntry,
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layout_j::DOFLayoutEntry,
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::Int,
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)
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fi = field_idx(layout_i)
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fj = field_idx(layout_j)
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node_i = entity_local(layout_i)
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node_j = entity_local(layout_j)
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comp_i = component(layout_i)
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comp_j = component(layout_j)
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n_ips = length(geometry_cache.detJ_w)
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K_ij = 0.0
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if fi == 1 && fj == 1
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@inbounds for q in 1:n_ips
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∇N_i = geometry_cache.∇N_data[q, node_i]
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∇N_j = geometry_cache.∇N_data[q, node_j]
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detJw = geometry_cache.detJ_w[q]
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C = Tensor{4,3}(qp_vec[q].C)
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K_ij += compute_stiffness_value(∇N_i, ∇N_j, C, comp_i, comp_j) * detJw
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end
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elseif fi == 2 && fj == 2
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@inbounds for q in 1:n_ips
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∇N_i = geometry_cache.∇N_data[q, node_i]
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∇N_j = geometry_cache.∇N_data[q, node_j]
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detJw = geometry_cache.detJ_w[q]
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k_q = qp_vec[q].k
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K_ij += (∇N_i ⋅ k_q ⋅ ∇N_j) * detJw
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end
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elseif fi == 1 && fj == 2
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α = kernel.α
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@inbounds for q in 1:n_ips
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∇N_i = geometry_cache.∇N_data[q, node_i]
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N_j = geometry_cache.N_data[q, node_j]
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detJw = geometry_cache.detJ_w[q]
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K_ij += -α * ∇N_i[comp_i] * N_j * detJw
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end
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else # fi == 2 && fj == 1
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α = kernel.α
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@inbounds for q in 1:n_ips
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N_i = geometry_cache.N_data[q, node_i]
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∇N_j = geometry_cache.∇N_data[q, node_j]
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detJw = geometry_cache.detJ_w[q]
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K_ij += -α * N_i * ∇N_j[comp_j] * detJw
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end
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end
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return K_ij
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end
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"""
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evaluate_mass_entry(::BiotPoroelasticKernel, ...)
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| (field_i, field_j) | block | contribution |
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| ------------------ | ----- | ------------ |
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| (2, 2) | M_pp | `storage_S · Σ_q N_i N_j detJ_w` |
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| (2, 1) | M_pu | `α · Σ_q N_i (∂N_j/∂x_{c_j}) detJ_w` |
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| (1, 2) | M_up | `α · Σ_q (∂N_i/∂x_{c_i}) N_j detJ_w` |
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| (1, 1) | M_uu | `ρ · Σ_q N_i N_j detJ_w` on matching displacement components (`ρ = 0` skips) |
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| other | — | `0` |
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`M_pu` and `M_up` match minus the steady `K_pu` and `K_up` microkernels for the
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same `α` and layout. `M_uu` matches [`ContinuumKernel`](@ref) mass for the same
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`ρ` and vertex layout.
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"""
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@inline function evaluate_mass_entry(
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kernel::BiotPoroelasticKernel,
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geometry_cache,
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qp_buffer,
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layout_i::DOFLayoutEntry,
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layout_j::DOFLayoutEntry,
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)
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fi = field_idx(layout_i)
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fj = field_idx(layout_j)
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n_ips = length(geometry_cache.detJ_w)
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if fi == 1 && fj == 1
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ρ = kernel.density
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ρ == 0.0 && return 0.0
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component(layout_i) == component(layout_j) || return 0.0
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node_i = entity_local(layout_i)
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node_j = entity_local(layout_j)
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M_ij = 0.0
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@inbounds for q in 1:n_ips
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N_i = geometry_cache.N_data[q, node_i]
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N_j = geometry_cache.N_data[q, node_j]
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detJw = geometry_cache.detJ_w[q]
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M_ij += ρ * N_i * N_j * detJw
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end
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return M_ij
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end
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if fi == 2 && fj == 2
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S = kernel.storage_S
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S == 0.0 && return 0.0
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node_i = entity_local(layout_i)
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node_j = entity_local(layout_j)
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M_ij = 0.0
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@inbounds for q in 1:n_ips
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N_i = geometry_cache.N_data[q, node_i]
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N_j = geometry_cache.N_data[q, node_j]
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detJw = geometry_cache.detJ_w[q]
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M_ij += S * N_i * N_j * detJw
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end
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return M_ij
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elseif fi == 2 && fj == 1
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α = kernel.α
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α == 0.0 && return 0.0
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node_i = entity_local(layout_i)
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node_j = entity_local(layout_j)
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comp_j = component(layout_j)
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M_ij = 0.0
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@inbounds for q in 1:n_ips
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N_i = geometry_cache.N_data[q, node_i]
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∇N_j = geometry_cache.∇N_data[q, node_j]
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detJw = geometry_cache.detJ_w[q]
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M_ij += α * N_i * ∇N_j[comp_j] * detJw
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end
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return M_ij
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elseif fi == 1 && fj == 2
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α = kernel.α
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α == 0.0 && return 0.0
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node_i = entity_local(layout_i)
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node_j = entity_local(layout_j)
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comp_i = component(layout_i)
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M_ij = 0.0
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@inbounds for q in 1:n_ips
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∇N_i = geometry_cache.∇N_data[q, node_i]
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N_j = geometry_cache.N_data[q, node_j]
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detJw = geometry_cache.detJ_w[q]
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M_ij += α * ∇N_i[comp_i] * N_j * detJw
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end
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return M_ij
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else
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return 0.0
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end
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end
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