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@@ -6,3 +6,8 @@ | |
| #:def analytical() | ||
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| #:enddef | ||
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| ! For moving immersed boundaries in simulation | ||
| #:def mib_analytical() | ||
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| #:enddef | ||
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@@ -279,6 +279,7 @@ contains | |||||
| do i = 0, m | ||||||
| xy_local = [x_cc(i) - center(1), y_cc(j) - center(2), 0._wp] ! get coordinate frame centered on IB | ||||||
| xy_local = matmul(inverse_rotation, xy_local) ! rotate the frame into the IB's coordinates | ||||||
| xy_local = xy_local - patch_ib(patch_id)%centroid_offset ! airfoils are a patch that require a centroid offset | ||||||
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| if (xy_local(1) >= 0._wp .and. xy_local(1) <= ca_in) then | ||||||
| xa = xy_local(1)/ca_in | ||||||
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@@ -433,6 +434,7 @@ contains | |||||
| do i = 0, m | ||||||
| xyz_local = [x_cc(i) - center(1), y_cc(j) - center(2), z_cc(l) - center(3)] ! get coordinate frame centered on IB | ||||||
| xyz_local = matmul(inverse_rotation, xyz_local) ! rotate the frame into the IB's coordinates | ||||||
| xyz_local = xyz_local - patch_ib(patch_id)%centroid_offset ! airfoils are a patch that require a centroid offset | ||||||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Suggestion: The 3D airfoil routine subtracts Severity Level: Critical 🚨- ❌ 3D airfoil marker placement incorrect in s_ib_3D_airfoil.
- ⚠️ 3D pitching/rotating airfoil simulations show wrong geometry.
Suggested change
Steps of Reproduction ✅1. Prepare a 3D case with an airfoil patch (patch_ib(... )%geometry == 11) so
s_apply_ib_patches calls s_ib_3D_airfoil during marker generation.
2. Set patch_ib(patch_id)%centroid_offset to a non-zero vector and set non-zero rotation
angles so rotation_matrix_inverse is non-trivial; run to the IB marker generation step.
3. In s_ib_3D_airfoil the code computes xyz_local and applies inverse_rotation at
src/common/m_ib_patches.fpp:435-436, then subtracts patch_ib(patch_id)%centroid_offset at
line 437 without rotating that offset into the local frame.
4. As a result the z/y/x cell-inclusion tests (for example the z_min/z_max check at the
surrounding block) and the later assignments to ib_markers_sf(i,j,l) are done with an
inconsistent offset and the 3D airfoil appears shifted. Reproduces when centroid_offset ≠
0 and rotation ≠ identity.Prompt for AI Agent 🤖This is a comment left during a code review.
**Path:** src/common/m_ib_patches.fpp
**Line:** 437:437
**Comment:**
*Logic Error: The 3D airfoil routine subtracts `patch_ib(patch_id)%centroid_offset` from `xyz_local` after applying `inverse_rotation`; if `centroid_offset` is expressed in the global/model frame this subtraction is done in the wrong basis. Rotate the centroid offset into the IB/local frame with the same `inverse_rotation` before subtracting to ensure the offset is applied consistently in the same coordinate system.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise. |
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| if (xyz_local(3) >= z_min .and. xyz_local(3) <= z_max) then | ||||||
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@@ -95,13 +95,15 @@ contains | |||||||||||||||||||
| integer :: i, j, k | ||||||||||||||||||||
| integer :: max_num_gps, max_num_inner_gps | ||||||||||||||||||||
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| ! do all set up for moving immersed boundaries | ||||||||||||||||||||
| moving_immersed_boundary_flag = .false. | ||||||||||||||||||||
| do i = 1, num_ibs | ||||||||||||||||||||
| if (patch_ib(i)%moving_ibm /= 0) then | ||||||||||||||||||||
| call s_compute_moment_of_inertia(i, patch_ib(i)%angular_vel) | ||||||||||||||||||||
| moving_immersed_boundary_flag = .true. | ||||||||||||||||||||
| end if | ||||||||||||||||||||
| call s_update_ib_rotation_matrix(i) | ||||||||||||||||||||
| call s_compute_centroid_offset(i) | ||||||||||||||||||||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Suggestion: Performance / correctness: s_compute_centroid_offset is called for every IB inside the initial setup loop before IB markers are populated; this causes an expensive full-domain scan per IB and also runs before Severity Level: Critical 🚨- ❌ Startup initialization spends excessive CPU time.
- ⚠️ Centroid offsets computed from empty ib_markers.
- ❌ Ghost-point velocity uses wrong centroids.
- ⚠️ Pitching airfoil initial motion affected.
Suggested change
Steps of Reproduction ✅1. Start the code path that calls the IBM setup routine: the public subroutine s_ibm_setup
in src/simulation/m_ibm.fpp is executed (see s_ibm_setup loop at lines 98-108).
2. Inside s_ibm_setup (lines 98-108) the code iterates do i = 1, num_ibs and
unconditionally calls s_compute_centroid_offset(i) at line 106 before any IB marker
population steps.
3. s_compute_centroid_offset (defined at lines 1155-1207) scans ib_markers%sf over the
full domain to count cells (it depends on ib_markers contents). At this point ib_markers
was only allocated earlier (s_initialize_ibm_module) but not populated by
s_apply_ib_patches / s_populate_ib_buffers yet, so entries are effectively empty/zero.
4. Observable effects when reproducing: you will see s_compute_centroid_offset perform a
full-domain nested loop (i=0..m, j=0..n, k=0..p) for every IB (costly) and compute zero
cell counts / zero centroid results because ib_markers%sf contains no IB assignments yet.
This reproduces wasted work and incorrect centroid results on startup.Prompt for AI Agent 🤖This is a comment left during a code review.
**Path:** src/simulation/m_ibm.fpp
**Line:** 106:106
**Comment:**
*Performance: Performance / correctness: s_compute_centroid_offset is called for every IB inside the initial setup loop before IB markers are populated; this causes an expensive full-domain scan per IB and also runs before `ib_markers%sf` is initialized/populated (leading to zero-cell counts). Remove the call from this early loop and compute centroid offsets later after IB patches/markers are applied and buffers populated.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise. |
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| end do | ||||||||||||||||||||
| $:GPU_ENTER_DATA(copyin='[patch_ib]') | ||||||||||||||||||||
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@@ -1012,24 +1014,24 @@ contains | |||||||||||||||||||
| ! compute the surface integrals of the IB via a volume integraion method described in | ||||||||||||||||||||
| ! "A coupled IBM/Euler-Lagrange framework for simulating shock-induced particle size segregation" | ||||||||||||||||||||
| ! by Archana Sridhar and Jesse Capecelatro | ||||||||||||||||||||
| subroutine s_compute_ib_forces(q_prim_vf, dynamic_viscosity) | ||||||||||||||||||||
| subroutine s_compute_ib_forces(q_prim_vf, fluid_pp) | ||||||||||||||||||||
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| ! real(wp), dimension(idwbuff(1)%beg:idwbuff(1)%end, & | ||||||||||||||||||||
| ! idwbuff(2)%beg:idwbuff(2)%end, & | ||||||||||||||||||||
| ! idwbuff(3)%beg:idwbuff(3)%end), intent(in) :: pressure | ||||||||||||||||||||
| type(scalar_field), dimension(1:sys_size), intent(in) :: q_prim_vf | ||||||||||||||||||||
| real(wp), intent(in) :: dynamic_viscosity | ||||||||||||||||||||
| type(physical_parameters), dimension(1:num_fluids), intent(in) :: fluid_pp | ||||||||||||||||||||
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| integer :: gp_id, i, j, k, l, q, ib_idx | ||||||||||||||||||||
| integer :: gp_id, i, j, k, l, q, ib_idx, fluid_idx | ||||||||||||||||||||
| real(wp), dimension(num_ibs, 3) :: forces, torques | ||||||||||||||||||||
| real(wp), dimension(1:3, 1:3) :: viscous_stress_div, viscous_stress_div_1, viscous_stress_div_2, viscous_cross_1, viscous_cross_2 ! viscous stress tensor with temp vectors to hold divergence calculations | ||||||||||||||||||||
| real(wp), dimension(1:3) :: local_force_contribution, radial_vector, local_torque_contribution, vel | ||||||||||||||||||||
| real(wp) :: cell_volume, dx, dy, dz | ||||||||||||||||||||
| real(wp) :: cell_volume, dx, dy, dz, dynamic_viscosity | ||||||||||||||||||||
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| forces = 0._wp | ||||||||||||||||||||
| torques = 0._wp | ||||||||||||||||||||
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| $:GPU_PARALLEL_LOOP(private='[ib_idx,radial_vector,local_force_contribution,cell_volume,local_torque_contribution, viscous_stress_div, viscous_stress_div_1, viscous_stress_div_2, viscous_cross_1, viscous_cross_2, dx, dy, dz]', copy='[forces,torques]', copyin='[ib_markers,patch_ib,dynamic_viscosity]', collapse=3) | ||||||||||||||||||||
| $:GPU_PARALLEL_LOOP(private='[ib_idx,fluid_idx, radial_vector,local_force_contribution,cell_volume,local_torque_contribution, dynamic_viscosity, viscous_stress_div, viscous_stress_div_1, viscous_stress_div_2, viscous_cross_1, viscous_cross_2, dx, dy, dz]', copy='[forces,torques]', copyin='[ib_markers,patch_ib]', collapse=3) | ||||||||||||||||||||
| do i = 0, m | ||||||||||||||||||||
| do j = 0, n | ||||||||||||||||||||
| do k = 0, p | ||||||||||||||||||||
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@@ -1044,26 +1046,33 @@ contains | |||||||||||||||||||
| dx = x_cc(i + 1) - x_cc(i) | ||||||||||||||||||||
| dy = y_cc(j + 1) - y_cc(j) | ||||||||||||||||||||
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| ! Get the pressure contribution to force via a finite difference to compute the 2D components of the gradient of the pressure and cell volume | ||||||||||||||||||||
| local_force_contribution(1) = -1._wp*(q_prim_vf(E_idx)%sf(i + 1, j, k) - q_prim_vf(E_idx)%sf(i - 1, j, k))/(2._wp*dx) ! force is the negative pressure gradient | ||||||||||||||||||||
| local_force_contribution(2) = -1._wp*(q_prim_vf(E_idx)%sf(i, j + 1, k) - q_prim_vf(E_idx)%sf(i, j - 1, k))/(2._wp*dy) | ||||||||||||||||||||
| cell_volume = abs(dx*dy) | ||||||||||||||||||||
| ! add the 3D component of the pressure gradient, if we are working in 3 dimensions | ||||||||||||||||||||
| if (num_dims == 3) then | ||||||||||||||||||||
| dz = z_cc(k + 1) - z_cc(k) | ||||||||||||||||||||
| local_force_contribution(3) = -1._wp*(q_prim_vf(E_idx)%sf(i, j, k + 1) - q_prim_vf(E_idx)%sf(i, j, k - 1))/(2._wp*dz) | ||||||||||||||||||||
| cell_volume = abs(cell_volume*dz) | ||||||||||||||||||||
| else | ||||||||||||||||||||
| local_force_contribution(3) = 0._wp | ||||||||||||||||||||
| end if | ||||||||||||||||||||
| local_force_contribution(:) = 0._wp | ||||||||||||||||||||
| do fluid_idx = 0, num_fluids - 1 | ||||||||||||||||||||
| ! Get the pressure contribution to force via a finite difference to compute the 2D components of the gradient of the pressure and cell volume | ||||||||||||||||||||
| local_force_contribution(1) = local_force_contribution(1) - (q_prim_vf(E_idx + fluid_idx)%sf(i + 1, j, k) - q_prim_vf(E_idx + fluid_idx)%sf(i - 1, j, k))/(2._wp*dx) ! force is the negative pressure gradient | ||||||||||||||||||||
| local_force_contribution(2) = local_force_contribution(1) - (q_prim_vf(E_idx + fluid_idx)%sf(i, j + 1, k) - q_prim_vf(E_idx + fluid_idx)%sf(i, j - 1, k))/(2._wp*dy) | ||||||||||||||||||||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. P1: Pressure-gradient accumulation overwrites Y/Z components with the X component, producing incorrect force/torque directions. Each component should accumulate from its own value. Prompt for AI agents
Suggested change
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| cell_volume = abs(dx*dy) | ||||||||||||||||||||
| ! add the 3D component of the pressure gradient, if we are working in 3 dimensions | ||||||||||||||||||||
| if (num_dims == 3) then | ||||||||||||||||||||
| dz = z_cc(k + 1) - z_cc(k) | ||||||||||||||||||||
| local_force_contribution(3) = local_force_contribution(1) - (q_prim_vf(E_idx + fluid_idx)%sf(i, j, k + 1) - q_prim_vf(E_idx + fluid_idx)%sf(i, j, k - 1))/(2._wp*dz) | ||||||||||||||||||||
| cell_volume = abs(cell_volume*dz) | ||||||||||||||||||||
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Comment on lines
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Fix pressure-gradient accumulation for y/z components. 🐛 Proposed fix- local_force_contribution(2) = local_force_contribution(1) - (q_prim_vf(E_idx + fluid_idx)%sf(i, j + 1, k) - q_prim_vf(E_idx + fluid_idx)%sf(i, j - 1, k))/(2._wp*dy)
+ local_force_contribution(2) = local_force_contribution(2) - (q_prim_vf(E_idx + fluid_idx)%sf(i, j + 1, k) - q_prim_vf(E_idx + fluid_idx)%sf(i, j - 1, k))/(2._wp*dy)
@@
- local_force_contribution(3) = local_force_contribution(1) - (q_prim_vf(E_idx + fluid_idx)%sf(i, j, k + 1) - q_prim_vf(E_idx + fluid_idx)%sf(i, j, k - 1))/(2._wp*dz)
+ local_force_contribution(3) = local_force_contribution(3) - (q_prim_vf(E_idx + fluid_idx)%sf(i, j, k + 1) - q_prim_vf(E_idx + fluid_idx)%sf(i, j, k - 1))/(2._wp*dz)🤖 Prompt for AI Agents |
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| end if | ||||||||||||||||||||
| end do | ||||||||||||||||||||
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| ! Update the force values atomically to prevent race conditions | ||||||||||||||||||||
| call s_cross_product(radial_vector, local_force_contribution, local_torque_contribution) | ||||||||||||||||||||
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| ! get the viscous stress and add its contribution if that is considered | ||||||||||||||||||||
| ! TODO :: This is really bad code | ||||||||||||||||||||
| ! if (.false.) then | ||||||||||||||||||||
| if (viscous) then | ||||||||||||||||||||
| ! compute the volume-weighted local dynamic viscosity | ||||||||||||||||||||
| dynamic_viscosity = 0._wp | ||||||||||||||||||||
| do fluid_idx = 1, num_fluids | ||||||||||||||||||||
| ! local dynamic viscosity is the dynamic viscosity of the fluid times alpha of the fluid | ||||||||||||||||||||
| if (fluid_pp(fluid_idx)%Re(1) /= 0._wp) dynamic_viscosity = dynamic_viscosity + q_prim_vf(fluid_idx + advxb - 1)%sf(j, k, l)*(1._wp/fluid_pp(fluid_idx)%Re(1)) | ||||||||||||||||||||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. P2: The dynamic viscosity computation indexes q_prim_vf with (j, k, l) even though l is not initialized in this loop. This can read the wrong cell (or an undefined index), producing incorrect forces/torques. Use the current cell indices (i, j, k). Prompt for AI agents
Suggested change
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| end do | ||||||||||||||||||||
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| ! get the linear force component first | ||||||||||||||||||||
| call s_compute_viscous_stress_tensor(viscous_stress_div_1, q_prim_vf, dynamic_viscosity, i - 1, j, k) | ||||||||||||||||||||
| call s_compute_viscous_stress_tensor(viscous_stress_div_2, q_prim_vf, dynamic_viscosity, i + 1, j, k) | ||||||||||||||||||||
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@@ -1150,6 +1159,60 @@ contains | |||||||||||||||||||
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| end subroutine s_finalize_ibm_module | ||||||||||||||||||||
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| !> Computes the center of mass for IB patch types where we are unable to determine their center of mass analytically. | ||||||||||||||||||||
| !> These patches include things like NACA airfoils and STL models | ||||||||||||||||||||
| subroutine s_compute_centroid_offset(ib_marker) | ||||||||||||||||||||
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| integer, intent(in) :: ib_marker | ||||||||||||||||||||
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| integer :: i, j, k, num_cells, num_cells_local | ||||||||||||||||||||
| real(wp), dimension(1:3) :: center_of_mass, center_of_mass_local | ||||||||||||||||||||
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| ! Offset only needs to be computes for specific geometries | ||||||||||||||||||||
| if (patch_ib(ib_marker)%geometry == 4 .or. & | ||||||||||||||||||||
| patch_ib(ib_marker)%geometry == 5 .or. & | ||||||||||||||||||||
| patch_ib(ib_marker)%geometry == 11 .or. & | ||||||||||||||||||||
| patch_ib(ib_marker)%geometry == 12) then | ||||||||||||||||||||
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| center_of_mass_local = [0._wp, 0._wp, 0._wp] | ||||||||||||||||||||
| num_cells_local = 0 | ||||||||||||||||||||
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| ! get the summed mass distribution and number of cells to divide by | ||||||||||||||||||||
| do i = 0, m | ||||||||||||||||||||
| do j = 0, n | ||||||||||||||||||||
| do k = 0, p | ||||||||||||||||||||
| if (ib_markers%sf(i, j, k) == ib_marker) then | ||||||||||||||||||||
| num_cells_local = num_cells_local + 1 | ||||||||||||||||||||
| center_of_mass_local = center_of_mass_local + [x_cc(i), y_cc(j), 0._wp] | ||||||||||||||||||||
| if (num_dims == 3) center_of_mass_local(3) = center_of_mass_local(3) + z_cc(k) | ||||||||||||||||||||
| end if | ||||||||||||||||||||
| end do | ||||||||||||||||||||
| end do | ||||||||||||||||||||
| end do | ||||||||||||||||||||
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| ! reduce the mass contribution over all MPI ranks and compute COM | ||||||||||||||||||||
| ! print *, "Before reduction ", center_of_mass, num_cells_local | ||||||||||||||||||||
| call s_mpi_allreduce_sum(center_of_mass_local(1), center_of_mass(1)) | ||||||||||||||||||||
| call s_mpi_allreduce_sum(center_of_mass_local(2), center_of_mass(2)) | ||||||||||||||||||||
| call s_mpi_allreduce_sum(center_of_mass_local(3), center_of_mass(3)) | ||||||||||||||||||||
| call s_mpi_allreduce_integer_sum(num_cells_local, num_cells) | ||||||||||||||||||||
| center_of_mass = center_of_mass/real(num_cells, wp) | ||||||||||||||||||||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Suggestion: Division-by-zero and incorrect averaging: the code reduces the summed coordinates and the integer cell count and unconditionally divides by Severity Level: Critical 🚨- ❌ Simulation startup can crash (division by zero).
- ❌ Pitching airfoil initialisation fails.
- ⚠️ Any IB with geometry types 4,5,11,12 affected.
- ⚠️ MPI job may produce NaNs across ranks.
Suggested change
Steps of Reproduction ✅1. Trigger the startup path that runs s_ibm_setup (src/simulation/m_ibm.fpp lines 98-108)
so that s_compute_centroid_offset is invoked (calls at line 106).
2. Inside s_compute_centroid_offset (subroutine at lines 1155-1207) the routine tallies
num_cells_local on each rank and then calls s_mpi_allreduce_integer_sum to produce
num_cells (see lines 1188-1192).
3. If no grid cell was assigned to this IB on any rank (num_cells == 0 after allreduce)
the code executes center_of_mass = center_of_mass/real(num_cells, wp) at line 1192,
producing a division-by-zero (or invalid NaN) at runtime.
4. Reproduce by running a minimal case where the IB geometry guarded by the if-condition
(geometry == 4,5,11,12) is present but ib_markers are empty (this occurs during current
setup ordering), observe crash/NaN at startup originating from s_compute_centroid_offset
lines 1188-1192.Prompt for AI Agent 🤖This is a comment left during a code review.
**Path:** src/simulation/m_ibm.fpp
**Line:** 1193:1193
**Comment:**
*Possible Bug: Division-by-zero and incorrect averaging: the code reduces the summed coordinates and the integer cell count and unconditionally divides by `num_cells`. If no cells are found for the IB across all ranks this will divide by zero. Reduce the total cell-volume (or count) and check the global total before dividing; if zero, set a safe default and return.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Comment on lines
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Add guard for division by zero when The previous bug dividing by 🛡️ Proposed guard call s_mpi_allreduce_integer_sum(num_cells_local, num_cells)
+ if (num_cells == 0) then
+ ! No cells found for this IB - set zero offset and return
+ patch_ib(ib_marker)%centroid_offset(:) = [0._wp, 0._wp, 0._wp]
+ return
+ end if
center_of_mass = center_of_mass/real(num_cells, wp)🤖 Prompt for AI Agents |
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| ! assign the centroid offset as a vector pointing from the true COM to the "centroid" in the input file and replace the current centroid | ||||||||||||||||||||
| patch_ib(ib_marker)%centroid_offset = [patch_ib(ib_marker)%x_centroid, patch_ib(ib_marker)%y_centroid, patch_ib(ib_marker)%z_centroid] & | ||||||||||||||||||||
| - center_of_mass | ||||||||||||||||||||
| patch_ib(ib_marker)%x_centroid = center_of_mass(1) | ||||||||||||||||||||
| patch_ib(ib_marker)%y_centroid = center_of_mass(2) | ||||||||||||||||||||
| patch_ib(ib_marker)%z_centroid = center_of_mass(3) | ||||||||||||||||||||
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| ! rotate the centroid offset back into the local coords of the IB | ||||||||||||||||||||
| patch_ib(ib_marker)%centroid_offset = matmul(patch_ib(ib_marker)%rotation_matrix_inverse, patch_ib(ib_marker)%centroid_offset) | ||||||||||||||||||||
| else | ||||||||||||||||||||
| patch_ib(ib_marker)%centroid_offset(:) = [0._wp, 0._wp, 0._wp] | ||||||||||||||||||||
| end if | ||||||||||||||||||||
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| end subroutine s_compute_centroid_offset | ||||||||||||||||||||
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| subroutine s_compute_moment_of_inertia(ib_marker, axis) | ||||||||||||||||||||
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| real(wp), dimension(3), intent(in) :: axis !< the axis about which we compute the moment. Only required in 3D. | ||||||||||||||||||||
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