From a2822448e81fdb7d0eaa707b009258ca7318758a Mon Sep 17 00:00:00 2001
From: Tiago Miguel Nogueira Pires <141148096+tmnp19@users.noreply.github.com>
Date: Wed, 21 Feb 2024 15:24:36 +0000
Subject: [PATCH] Add Abaqus interface (#11)

---
 .flake8                                       |    1 +
 .../abaqus_solver_fitting/animation_1.gif     |  Bin 0 -> 506242 bytes
 .../abaqus_solver_fitting/animation_2.gif     |  Bin 0 -> 493017 bytes
 docs/source/abaqus_solver_fitting/best_1.svg  | 1244 ++++++++++++++
 .../abaqus_solver_fitting/description.md      |  177 ++
 .../abaqus_solver_fitting/history_1.svg       | 1241 ++++++++++++++
 .../abaqus_solver_fitting/mesh_and_bc.png     |  Bin 0 -> 11143 bytes
 .../abaqus_solver_fitting/parameters_1.svg    | 1428 +++++++++++++++++
 examples/abaqus_solver_fitting/config.yaml    |   37 +
 .../config_composite.yaml                     |   38 +
 examples/abaqus_solver_fitting/reference.txt  |  101 ++
 examples/abaqus_solver_fitting/sample.inp     |   88 +
 examples/templates/solvers/abaqus.yaml        |   52 +
 piglot/solver/__init__.py                     |    2 +
 piglot/solver/abaqus/fields.py                |  300 ++++
 piglot/solver/abaqus/reader.py                |  177 ++
 piglot/solver/abaqus/solver.py                |  238 +++
 17 files changed, 5124 insertions(+)
 create mode 100644 docs/source/abaqus_solver_fitting/animation_1.gif
 create mode 100644 docs/source/abaqus_solver_fitting/animation_2.gif
 create mode 100644 docs/source/abaqus_solver_fitting/best_1.svg
 create mode 100644 docs/source/abaqus_solver_fitting/description.md
 create mode 100644 docs/source/abaqus_solver_fitting/history_1.svg
 create mode 100644 docs/source/abaqus_solver_fitting/mesh_and_bc.png
 create mode 100644 docs/source/abaqus_solver_fitting/parameters_1.svg
 create mode 100644 examples/abaqus_solver_fitting/config.yaml
 create mode 100644 examples/abaqus_solver_fitting/config_composite.yaml
 create mode 100644 examples/abaqus_solver_fitting/reference.txt
 create mode 100644 examples/abaqus_solver_fitting/sample.inp
 create mode 100644 examples/templates/solvers/abaqus.yaml
 create mode 100644 piglot/solver/abaqus/fields.py
 create mode 100644 piglot/solver/abaqus/reader.py
 create mode 100644 piglot/solver/abaqus/solver.py

diff --git a/.flake8 b/.flake8
index e1db2d9..59382a2 100644
--- a/.flake8
+++ b/.flake8
@@ -11,3 +11,4 @@ max-complexity = 15
 exclude =
 	piglot/optimisers/ga.py
 	piglot/optimisers/pso.py
+	piglot/solver/abaqus/reader.py
diff --git a/docs/source/abaqus_solver_fitting/animation_1.gif b/docs/source/abaqus_solver_fitting/animation_1.gif
new file mode 100644
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diff --git a/docs/source/abaqus_solver_fitting/description.md b/docs/source/abaqus_solver_fitting/description.md
new file mode 100644
index 0000000..9731a6a
--- /dev/null
+++ b/docs/source/abaqus_solver_fitting/description.md
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+# Fitting example - Abaqus solver
+
+A fitting example is included to demonstrate how to use `piglot` with the `Abaqus` solver.
+
+A 2D specimen under plane strain is subjected to a uniaxial constant displacement of 2 mm prescribed in 100 load increments with time-steps of 0.02 seconds.
+
+The matrix material phase constitutive behavior is governed by the von Mises isotropic elasto-plastic constitutive model with isotropic hardening. 
+
+A mesh with a single CPE4 element is considered for discretisation (the body dimensions are 200x50x5 mm). The mesh and boundary conditions can be seen as follows:
+
+![Mesh and boundary conditions applied.](mesh_and_bc.png)
+
+We want to find the values for the Young's modulus (`Young`), the yield stress (`S1`) and a second stress point (`S2`) that will define the linear hardening curve. The defined Poisson coefficient is 0.3 and the two strain values for the hardening curve 0 and 0.25, respectively.
+
+The reference force-displacement response is computed using the following values for these parameters: `Young: 210`, `S1: 325` and `S2: 600`. The reference response is provided in the `examples/abaqus_solver_fitting/reference.txt` file.
+
+We run 25 iterations using the `botorch` optimiser within the [curve fitting setting](../sample_curve_fitting/description.md).
+
+The configuration file (`examples/abaqus_solver_fitting/config.yaml`) for this example is:
+```yaml
+iters: 25
+
+optimiser: botorch
+
+
+parameters:
+  Young: [100, 100, 300]
+  S1: [200, 200, 400]
+  S2: [500, 500, 700]
+
+
+objective:
+  name: fitting
+  solver:
+    name: abaqus
+    # path to the Abaqus executable
+    abaqus_path: C:\SIMULIA\Commands\abaqus.bat
+
+    cases:
+      'sample.inp':
+        job_name: Job-1 # optional field for this case
+        step_name: Step-1 # optional field for this case
+        instance_name: Part-1-1 # optional field for this case
+        fields:
+          'reaction_x':
+            name: FieldsOutput
+            set_name: RF_SET
+            field: RF
+            x_field: U
+            direction: x
+   
+  references:
+    'reference.txt':
+      prediction: reaction_x
+```
+The field `abaqus_path` must indicate the path to the `Abaqus` executable. The input data file for running `Abaqus` is given in `examples/abaqus_solver_fitting/sample.inp`, where the notation `<Young>`, `<S1>` and `<S2>` indicates the parameters to optimise. For each function call, and before running the solver, these template parameters are substituted by their appropriate values in the `Abaqus` input data file.
+
+Note that the `Abaqus` input file (`sample.inp`) only has one Job, Step and Instance, so, the fields `job_name`, `step_name` and `instance_name` are optional in the `config.yaml`.
+
+To run this example, open a terminal inside the `piglot` repository, enter the `examples/abaqus_solver_fitting` directory and run piglot with the given configuration file
+```bash
+cd examples/abaqus_solver_fitting
+piglot config.yaml
+```
+You should see an output similar to
+```
+BoTorch: 100%|███████████████████████████████████████████████████████| 25/25 [06:24<00:00, 15.38s/it, Loss: 1.0686e-06]
+Completed 25 iterations in 6m24s
+Best loss:  1.06857710e-06
+Best parameters
+- Young:   210.492621
+-    S1:   325.048144
+-    S2:   611.079583
+```
+Note that despite the fact that the optimal parameters are not exactly the same as the ones used to compute the reference response, the loss function value is very small, and the fitting is excellent as can be seen in the figures below.
+
+To visualise the optimisation results, use the `piglot-plot` utility.
+In the same directory, run (this may take a few seconds)
+```bash
+piglot-plot animation config.yaml
+```
+This generates an animation for all the function evaluations that have been made throughout the optimisation procedure for the two target objectives.
+You can find the `.gif` file(s) inside the output directory, which should give something like (for the `minimum_value` target):
+
+![Best case plot](animation_1.gif)
+
+Now, try running
+```bash
+piglot-plot parameters config.yaml
+```
+This will plot the evaluated parameters during the optimisation procedure: 
+
+![Best case plot](parameters_1.svg)
+
+To see the convergence history of the best loss function value, run
+```bash
+piglot-plot history config.yaml --best --log
+```
+which will generate:
+
+![Best case plot](history_1.svg)
+
+To see the best-observed value for the optimisation problem, run
+```bash
+piglot-plot best config.yaml
+```
+which will generate:
+
+![Best case plot](best_1.svg)
+
+## Fitting example - Abaqus solver with composite setting
+
+This subsection aims to show the difference in the results obtained using the composite option. Convergence is more stable, a smaller loss is achieved and the parameters are closer to the reference solution.
+
+We run 25 iterations using the `botorch` optimiser within the [composite setting](../sample_curve_fitting_composite/description.md).
+
+The configuration file (`examples/abaqus_solver_fitting/config_composite.yaml`) for this example is:
+```yaml
+iters: 25
+
+optimiser: botorch
+
+
+parameters:
+  Young: [100, 100, 300]
+  S1: [200, 200, 400]
+  S2: [500, 500, 700]
+
+
+objective:
+  name: fitting
+  composite: True
+  solver:
+    name: abaqus
+    # path to the Abaqus executable
+    abaqus_path: C:\SIMULIA\Commands\abaqus.bat
+
+    cases:
+      'sample.inp':
+        job_name: Job-1 # optional field for this case
+        step_name: Step-1 # optional field for this case
+        instance_name: Part-1-1 # optional field for this case
+        fields:
+          'reaction_x':
+            name: FieldsOutput
+            set_name: RF_SET
+            field: RF
+            x_field: U
+            direction: x
+   
+  references:
+    'reference.txt':
+      prediction: reaction_x
+```
+
+The output is the following
+```
+BoTorch: 100%|███████████████████████████████████████████████████████| 25/25 [07:35<00:00, 18.24s/it, Loss: 3.4894e-10]
+Completed 25 iterations in 7m35s
+Best loss:  3.48943524e-10
+Best parameters
+- Young:   210.001758
+-    S1:   324.987890
+-    S2:   600.530661
+```
+
+The animation for all the function evaluations that have been made throughout the optimisation procedure are once again showed running
+```bash
+piglot-plot animation config_composite.yaml
+```
+
+And the output is:
+
+![Best case plot](animation_2.gif)
+
+
+
diff --git a/docs/source/abaqus_solver_fitting/history_1.svg b/docs/source/abaqus_solver_fitting/history_1.svg
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diff --git a/examples/abaqus_solver_fitting/config.yaml b/examples/abaqus_solver_fitting/config.yaml
new file mode 100644
index 0000000..24af04c
--- /dev/null
+++ b/examples/abaqus_solver_fitting/config.yaml
@@ -0,0 +1,37 @@
+
+iters: 25
+
+optimiser: botorch
+
+
+parameters:
+  Young: [100, 100, 300]
+  S1: [200, 200, 400]
+  S2: [500, 500, 700]
+
+
+objective:
+  name: fitting
+  solver:
+    name: abaqus
+    # path to the Abaqus executable
+    abaqus_path: C:\SIMULIA\Commands\abaqus.bat
+
+    cases:
+      'sample.inp':
+        job_name: Job-1 # optional field for this case
+        step_name: Step-1 # optional field for this case
+        instance_name: Part-1-1 # optional field for this case
+        fields:
+          'reaction_x':
+            name: FieldsOutput
+            set_name: RF_SET
+            field: RF
+            x_field: U
+            direction: x
+   
+  references:
+    'reference.txt':
+      prediction: reaction_x
+
+
diff --git a/examples/abaqus_solver_fitting/config_composite.yaml b/examples/abaqus_solver_fitting/config_composite.yaml
new file mode 100644
index 0000000..9edc144
--- /dev/null
+++ b/examples/abaqus_solver_fitting/config_composite.yaml
@@ -0,0 +1,38 @@
+
+iters: 25
+
+optimiser: botorch
+
+
+parameters:
+  Young: [100, 100, 300]
+  S1: [200, 200, 400]
+  S2: [500, 500, 700]
+
+
+objective:
+  name: fitting
+  composite: True
+  solver:
+    name: abaqus
+    # path to the Abaqus executable
+    abaqus_path: C:\SIMULIA\Commands\abaqus.bat
+
+    cases:
+      'sample.inp':
+        job_name: Job-1 # optional field for this case
+        step_name: Step-1 # optional field for this case
+        instance_name: Part-1-1 # optional field for this case
+        fields:
+          'reaction_x':
+            name: FieldsOutput
+            set_name: RF_SET
+            field: RF
+            x_field: U
+            direction: x
+   
+  references:
+    'reference.txt':
+      prediction: reaction_x
+
+
diff --git a/examples/abaqus_solver_fitting/reference.txt b/examples/abaqus_solver_fitting/reference.txt
new file mode 100644
index 0000000..caae541
--- /dev/null
+++ b/examples/abaqus_solver_fitting/reference.txt
@@ -0,0 +1,101 @@
+0.000000000	0.000000000
+0.020000000	5768.695313
+0.039999999	11536.31934
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+2.000000000	95979.08594
diff --git a/examples/abaqus_solver_fitting/sample.inp b/examples/abaqus_solver_fitting/sample.inp
new file mode 100644
index 0000000..6c958ae
--- /dev/null
+++ b/examples/abaqus_solver_fitting/sample.inp
@@ -0,0 +1,88 @@
+*Heading
+** Job name: Job-1 Model name: Model-1
+** Generated by: Abaqus/CAE Learning Edition 2023
+*Preprint, echo=NO, model=NO, history=NO, contact=NO
+**
+** PARTS
+**
+*Part, name=Part-1
+*End Part
+**  
+**
+** ASSEMBLY
+**
+*Assembly, name=Assembly
+**  
+*Instance, name=Part-1-1, part=Part-1
+*Node
+      1,         100.,          25.
+      2,        -100.,          25.
+      3,         100.,         -25.
+      4,        -100.,         -25.
+*Element, type=CPE4
+1, 1, 2, 4, 3
+*Nset, nset=Set-1, generate
+ 1,  4,  1
+*Elset, elset=Set-1
+ 1,
+** Section: Section-1
+*Solid Section, elset=Set-1, material=Steel
+5.,
+*End Instance
+**  
+*Nset, nset=RF_SET, instance=Part-1-1
+ 1, 3
+*Nset, nset=Set-1, instance=Part-1-1
+ 2, 4
+*Elset, elset=Set-1, instance=Part-1-1
+ 1,
+*Nset, nset=Set-2, instance=Part-1-1
+ 3, 4
+*Elset, elset=Set-2, instance=Part-1-1
+ 1,
+*Nset, nset=Set-3, instance=Part-1-1
+ 1, 3
+*Elset, elset=Set-3, instance=Part-1-1
+ 1,
+*End Assembly
+** 
+** MATERIALS
+** 
+*Material, name=Steel
+*Elastic
+<Young>e+3, 0.3
+*Plastic
+<S1>,   0.
+<S2>, 0.25
+** ----------------------------------------------------------------
+** 
+** STEP: Step-1
+** 
+*Step, name=Step-1, nlgeom=YES
+*Static, direct
+0.02, 2., 
+** 
+** BOUNDARY CONDITIONS
+** 
+** Name: BC-1 Type: Displacement/Rotation
+*Boundary
+Set-1, 1, 1
+** Name: BC-2 Type: Displacement/Rotation
+*Boundary
+Set-2, 2, 2
+** Name: BC-3 Type: Displacement/Rotation
+*Boundary
+Set-3, 1, 1, 2.
+** 
+** OUTPUT REQUESTS
+** 
+*Restart, write, frequency=0
+** 
+** FIELD OUTPUT: F-Output-1
+** 
+*Output, field, variable=PRESELECT
+** 
+** HISTORY OUTPUT: H-Output-1
+** 
+*Output, history, variable=PRESELECT
+*End Step
diff --git a/examples/templates/solvers/abaqus.yaml b/examples/templates/solvers/abaqus.yaml
new file mode 100644
index 0000000..a2cff11
--- /dev/null
+++ b/examples/templates/solvers/abaqus.yaml
@@ -0,0 +1,52 @@
+# Specification for the Abaqus solver
+#
+# In the example below, we register one output fields:
+# - 'reaction_x'
+# This is a quantity that is returned from the interface. When using the solver
+# with an objective, use there names to define the prediction fields.
+#
+solver:
+  #
+  # Mandatory fields
+  # ---------------------------------------------------------------------------
+  #
+  # Solver name
+  name: abaqus
+  #
+  # Path to the Abaqus binary
+  abaqus_path: C:\SIMULIA\Commands\abaqus.bat
+  #
+  # List of cases to run
+  # The name of each case is the path to the input file that will be used
+  # for the analysis. You can have multiple cases, each with its own input
+  # file and fields.
+  cases:
+    # Example for a input file
+    'sample.inp':
+      # If the input has only one job this field is optional
+      job_name: Job-1 # Job name to extract data
+      # If the input has only one job this field is optional
+      step_name: Step-1 # Step name to extract data
+      # If the input has only one job this field is optional
+      instance_name: PART-1-1 # Step name to extract data
+      fields:
+        'reaction_x':
+          name: FieldsOutput # Name of the output field for abaqus field reader
+          set_name: RF_SET # Name of the set to extract the field 
+          field: RF # Name of the Y field to extract (e.g. S, U, RF, E or LE)
+          x_field: U # Name of the X field to extract (e.g. S, U, RF, E or LE)
+          direction: x # Direction to extract the field data
+  #
+  # (Optional) Additional options for the solver
+  # Given values are the default ones
+  # ---------------------------------------------------------------------------
+  #
+  # Number of parallel analyses to run
+  # Only available when using multiple cases
+  parallel: 1
+  #
+  # Path to store temporary analyses
+  # By default, use a 'tmp' directory inside the output directory
+  tmp_dir: output_dir/tmp
+  #
+
diff --git a/piglot/solver/__init__.py b/piglot/solver/__init__.py
index ae1d5f1..294a711 100644
--- a/piglot/solver/__init__.py
+++ b/piglot/solver/__init__.py
@@ -3,12 +3,14 @@
 from piglot.parameter import ParameterSet
 from piglot.solver.solver import Solver
 from piglot.solver.links.solver import LinksSolver
+from piglot.solver.abaqus.solver import AbaqusSolver
 from piglot.solver.curve.solver import CurveSolver
 from piglot.solver.crate.solver import CrateSolver
 
 
 AVAILABLE_SOLVERS: Dict[str, Type[Solver]] = {
     'links': LinksSolver,
+    'abaqus': AbaqusSolver,
     'curve': CurveSolver,
     'crate': CrateSolver,
 }
diff --git a/piglot/solver/abaqus/fields.py b/piglot/solver/abaqus/fields.py
new file mode 100644
index 0000000..4cdffd5
--- /dev/null
+++ b/piglot/solver/abaqus/fields.py
@@ -0,0 +1,300 @@
+"""Module for output fields from Abaqus solver."""
+from __future__ import annotations
+from typing import Dict, Any, List
+import os
+import re
+import glob
+import numpy as np
+import pandas as pd
+from piglot.parameter import ParameterSet
+from piglot.solver.solver import InputData, OutputField, OutputResult
+from piglot.utils.solver_utils import write_parameters, has_parameter, get_case_name
+
+
+class AbaqusInputData(InputData):
+    """Container for Abaqus input data."""
+
+    def __init__(self, input_file: str, job_name: str, step_name: str, instance_name: str) -> None:
+        super().__init__()
+        self.input_file = input_file
+        self.job_name = job_name
+        self.step_name = step_name
+        self.instance_name = instance_name
+
+    def prepare(
+            self,
+            values: np.ndarray,
+            parameters: ParameterSet,
+            tmp_dir: str = None,
+    ) -> None:
+        """Prepare the input data for the simulation with a given set of parameters.
+
+        Parameters
+        ----------
+        values : np.ndarray
+            Parameters to run for.
+        parameters : ParameterSet
+            Parameter set for this problem.
+        tmp_dir : str, optional
+            Temporary directory to run the analyses, by default None
+
+        Returns
+        -------
+        AbaqusInputData
+            Input data prepared for the simulation.
+        """
+        # Copy file and write out the parameters
+        dest_file = os.path.join(tmp_dir, os.path.basename(self.input_file))
+        write_parameters(parameters.to_dict(values), self.input_file, dest_file)
+        return AbaqusInputData(dest_file, self.job_name, self.step_name, self.instance_name)
+
+    @staticmethod
+    def __sanitize_field(field_name: str, field_list: List[str], keyword: str) -> str:
+        """Sanitize the field name (jobs, instances and steps) in Abaqus input file.
+
+        Parameters
+        ----------
+        field_name : str
+            Field name to sanitize.
+        field_list : List[str]
+            A list of fields present in the file.
+        keyword : str
+            Keyrword to use in the error message. (job, instance, step)
+
+        Returns
+        -------
+        str
+            The field name and field list.
+
+        Raises
+        ------
+        ValueError
+            If the field list is empty.
+        ValueError
+            If the field name is not in the field list.
+        ValueError
+            If the field name is not specified and there are multiple fields in the list.
+        """
+        if len(field_list) == 0:
+            raise ValueError(f"No {keyword}s found in the file.")
+        if field_name is not None:
+            if field_name not in field_list:
+                raise ValueError(f"The {keyword} name '{field_name}' not found in the file.")
+        if field_name is None:
+            if len(field_list) > 1:
+                raise ValueError(f"Multiple {keyword}s found in the file. \
+                                 Please specify the {keyword} name.")
+            return field_list[0]
+        return field_name
+
+    def check(self, parameters: ParameterSet) -> None:
+        """Check if the input data is valid according to the given parameters.
+
+        Parameters
+        ----------
+        parameters : ParameterSet
+            Parameter set for this problem.
+        """
+        # Generate a dummy set of parameters (to ensure proper handling of output parameters)
+        values = np.array([parameter.inital_value for parameter in parameters])
+        param_dict = parameters.to_dict(values, input_normalised=False)
+        for name in param_dict:
+            if not has_parameter(self.input_file, f'<{name}>'):
+                raise RuntimeError(f"Parameter '{name}' not found in input file.")
+
+        input_file, ext = os.path.splitext(os.path.basename(self.input_file))
+        with open(input_file + ext, 'r', encoding='utf-8') as file:
+            data = file.read()
+
+            job_list = re.findall(r'\*\* Job name: ([^M]+)', data)
+            job_list = [job.strip() for job in job_list]  # Remove trailing whitespace
+            self.job_name = self.__sanitize_field(self.job_name, job_list, "job")
+
+            instance_list = re.findall(r'\*Instance, name=([^,]+)', data)
+            self.instance_name = self.__sanitize_field(self.instance_name, instance_list,
+                                                       "instance")
+
+            step_list = re.findall(r'\*Step, name=([^,]+)', data)
+            self.step_name = self.__sanitize_field(self.step_name, step_list, "step")
+
+    def name(self) -> str:
+        """Return the name of the input data.
+
+        Returns
+        -------
+        str
+            Name of the input data.
+        """
+        return os.path.basename(self.input_file)
+
+    def get_current(self, target_dir: str) -> AbaqusInputData:
+        """Get the current input data.
+
+        Parameters
+        ----------
+        target_dir : str
+            Target directory to copy the input file.
+
+        Returns
+        -------
+        AbaqusInputData
+            Current input data.
+        """
+        return AbaqusInputData(os.path.join(target_dir, os.path.basename(self.input_file)),
+                               self.job_name, self.step_name, self.instance_name)
+
+
+class FieldsOutput(OutputField):
+    """Fields outputs reader."""
+
+    def __init__(self, field: str, x_field: str, set_name: str, direction: str) -> None:
+        """Constructor for reaction reader
+
+        Parameters
+        ----------
+        field : str
+            Field to read.
+        x_field : str
+            x_field to read.
+        set_name : str
+            Node set to read.
+        direction : str
+            Direction to read.
+        """
+        super().__init__()
+        direction_dict = {'x': 1, 'y': 2, 'z': 3}
+        self.field = field
+        self.x_field = x_field
+        self.set_name = set_name
+        self.direction = direction_dict[direction]
+
+    def check(self, input_data: AbaqusInputData) -> None:
+        """Sanity checks on the input file.
+
+        Parameters
+        ----------
+        input_data : AbaqusInputData
+            Input data for this case.
+        """
+        input_file, ext = os.path.splitext(os.path.basename(input_data.input_file))
+        with open(input_file + ext, 'r', encoding='utf-8') as file:
+            data = file.read()
+
+            nsets_list = re.findall(r'\*Nset, nset=([^,]+)', data)
+            if len(nsets_list) == 0:
+                raise ValueError("No sets found in the file.")
+            if self.set_name not in nsets_list:
+                raise ValueError(f"Set name '{self.set_name}' not found in the file.")
+
+    def get(self, input_data: AbaqusInputData) -> OutputResult:
+        """Reads reactions from a Abaqus analysis.
+
+        Parameters
+        ----------
+        input_data : AbaqusInputData
+            Input data for this case.
+
+        Returns
+        -------
+        array
+            2D array with load factor in the first column and reactions in the second.
+        """
+        input_file = get_case_name(input_data.input_file)
+        output_dir = os.path.dirname(input_data.input_file)
+        reduction = {
+            'RF': np.sum,
+            'U': np.mean,
+            'S': np.mean,
+            'LE': np.mean,
+            'E': np.mean,
+        }
+
+        # X field
+        field_filename = os.path.join(output_dir,
+                                      f'{input_file}_{self.set_name}_{self.x_field}.txt')
+        # Ensure the file exists
+        if not os.path.exists(field_filename):
+            return OutputResult(np.empty(0), np.empty(0))
+        data = pd.read_csv(field_filename, sep=' ', index_col=False)
+        columns = [a for a in data.columns if f"{self.x_field}{self.direction}" in a]
+        # Extract columns from data frame
+        data_group = data[columns].to_numpy()
+        x_field = reduction[self.x_field](data_group, axis=1)
+
+        # Y field
+        field_filename = os.path.join(output_dir, f'{input_file}_{self.set_name}_{self.field}.txt')
+        # Ensure the file exists
+        if not os.path.exists(field_filename):
+            return OutputResult(np.empty(0), np.empty(0))
+        data = pd.read_csv(field_filename, sep=' ', index_col=False)
+        columns = [a for a in data.columns if f"{self.field}{self.direction}" in a]
+        # Extract columns from data frame
+        data_group = data[columns].to_numpy()
+        y_field = reduction[self.field](data_group, axis=1)
+
+        # Delete the extra temporary files
+        files = glob.glob(output_dir + '/' + input_file + '*.txt')
+        for file in files:
+            if self.set_name not in file:
+                os.remove(file)
+
+        return OutputResult(x_field, y_field)
+
+    @staticmethod
+    def read(config: Dict[str, Any]) -> FieldsOutput:
+        """Read the output field from the configuration dictionary.
+
+        Parameters
+        ----------
+        config : Dict[str, Any]
+            Configuration dictionary.
+
+        Returns
+        -------
+        FieldsOutput
+            Output field to use for this problem.
+        """
+        # Read the field
+        if 'field' not in config:
+            raise ValueError("Missing 'field' in reaction configuration.")
+        field = config['field']
+        # Read the x_field
+        if 'x_field' not in config:
+            raise ValueError("Missing 'x_field' in reaction configuration.")
+        x_field = config['x_field']
+        # Read the set_name
+        if 'set_name' not in config:
+            raise ValueError("Missing 'set_name' in reaction configuration.")
+        set_name = config['set_name']
+        # Read the direction
+        if 'direction' not in config:
+            raise ValueError("Missing 'direction' in reaction configuration.")
+        direction = config['direction']
+
+        return FieldsOutput(field, x_field, set_name, direction)
+
+
+def abaqus_fields_reader(config: Dict[str, Any]) -> OutputField:
+    """Read the output fields for the Abaqus solver.
+
+    Parameters
+    ----------
+    config : Dict[str, Any]
+        Configuration dictionary.
+
+    Returns
+    -------
+    OutputField
+        Output field to use for this problem.
+    """
+    # Extract name of output field
+    if 'name' not in config:
+        raise ValueError("Missing 'name' in output field configuration.")
+    field_name = config['name']
+    # Delegate to the appropriate reader
+    readers = {
+        'FieldsOutput': FieldsOutput,
+    }
+    if field_name not in readers:
+        raise ValueError(f"Unknown output field name '{field_name}'.")
+    return readers[field_name].read(config)
diff --git a/piglot/solver/abaqus/reader.py b/piglot/solver/abaqus/reader.py
new file mode 100644
index 0000000..8e44cac
--- /dev/null
+++ b/piglot/solver/abaqus/reader.py
@@ -0,0 +1,177 @@
+"""Module to extract the nodal data from the output database (.odb) file"""
+import re
+import os
+import sys
+import codecs
+import numpy as np
+from odbAccess import *
+
+
+def input_variables():
+    """Reads the input file.
+
+    Returns
+    -------
+    variables
+        Variables to use in this problem
+    """
+    args = sys.argv
+    variables = {}
+
+    input_file_list = [a for a in args if a.startswith("input_file=")]
+    job_name_list = [a for a in args if a.startswith("job_name=")]
+    step_name_list = [a for a in args if a.startswith("step_name=")]
+    instance_name_list = [a for a in args if a.startswith("instance_name=")]
+
+    # Checks if the input_file, job_name, step_name and instance_name are not empty
+    input_file = input_file_list[0].replace('input_file=', '') \
+        if input_file_list else None
+    job_name = job_name_list[0].replace('job_name=', '') \
+        if job_name_list else None
+    step_name = step_name_list[0].replace('step_name=', '') \
+        if step_name_list else None
+    instance_name = instance_name_list[0].replace('instance_name=', '') \
+        if instance_name_list else None
+
+    variables['input_file'] = input_file
+    variables['job_name'] = job_name
+    variables['step_name'] = step_name
+    variables['instance_name'] = instance_name
+
+    return variables
+
+
+def file_name_func(set_name, variable_name, inp_name):
+    """Defines the txt file name of the extracted data.
+
+    Parameters
+    ----------
+    set_name : str
+        name of the set
+    variable_name : str
+        name of the field variable
+    inp_name : str
+        name of the input file name
+
+    Returns
+    -------
+    file_name
+        name of the txt file
+    """
+    file_name = "{}_{}_{}.txt".format(os.path.splitext(inp_name)[0], set_name, variable_name)
+    return file_name
+
+
+def field_location(i, output_variable, location):
+    """It gets the node data of the specified node set.
+
+    Parameters
+    ----------
+    i : int
+        It is an int number, 0 or 1 in the case of the stresses and strains.
+    output_variable : str
+        Its the output variable (S, U, RF, E or LE) of the nodes.
+    location : str
+        Location of the current node set.
+
+    Returns
+    -------
+    location_output_variable
+        Location of the output variable.
+    """
+    if i in (0, 1):
+        location_output_variable = output_variable.getSubset(region=location,
+                                                             position=ELEMENT_NODAL)
+    else:
+        location_output_variable = output_variable.getSubset(region=location)
+    return location_output_variable
+
+
+def main():
+    """Main function of the reader.py
+    """
+
+    variables = input_variables()
+
+    # Data defined by the user
+    job_name = variables["job_name"]  # Replace with the actual job name
+    # Replace with the actual step name
+    step_name = variables["step_name"]
+
+    # Read the input file to check if the nlgeom setting is on or off
+    inp_name = variables["input_file"]
+
+    with codecs.open(inp_name, 'r', encoding='utf-8') as input_file:
+        file_content = input_file.read()
+
+        # Use a regular expression to find the nlgeom setting
+        match = re.search(r'\*Step.*nlgeom=(\w+)', file_content)
+
+        # Check if the match is found and extract the value
+        if match:
+            nlgeom_setting = match.group(1)
+            nlgeom = 1 if nlgeom_setting.upper() == 'YES' else 0
+        else:
+            print("nlgeom setting not found in the input file.")
+            sys.exit(1)  # Stop the script with an exit code
+
+    if nlgeom == 0:
+        variables_array = np.array(["S", "E", "U", "RF"])
+    else:
+        variables_array = np.array(["S", "LE", "U", "RF"])
+
+    # Open the output database
+    odb_name = job_name + ".odb"
+    odb = openOdb(path=odb_name)
+
+    # Create a variable that refers to the first step.
+    step = odb.steps[step_name]
+
+    for i, var in enumerate(variables_array):
+
+        header_variable = "%s_%d"
+        variable = var
+
+        for set_name, location in odb.rootAssembly.nodeSets.items():
+
+            file_name = file_name_func(set_name, var, inp_name)
+
+            # Create a text file to save the output data
+            with codecs.open(file_name, 'w', encoding='utf-8') as output_file:
+
+                output_variable = step.frames[0].fieldOutputs[variable]
+
+                # Create a variable that refers to the output variable of the node set. If the
+                # field is S or E it extrapolates the data to the nodes, if the field is U or RF
+                # the data is already on the nodes so it doesn't need to be specified.
+                location_output_variable = field_location(i, output_variable, location)
+
+                # Get the component labels
+                component_labels = output_variable.componentLabels
+
+                # Write the column headers dynamically based on the number of nodes and
+                # output variable components
+                header = "Frame " + " ".join(header_variable % (label, v.nodeLabel) for v in
+                                             location_output_variable.values for label in
+                                             component_labels) + "\n"
+                output_file.write(header)
+
+                for frame in step.frames:
+                    output_variable = frame.fieldOutputs[variable]
+
+                    # Create a variable that refers to the output_variable of the node
+                    # set in the current frame.
+                    location_output_variable = field_location(i, output_variable, location)
+
+                    output_file.write("%d " % frame.frameId)
+                    for v in location_output_variable.values:
+                        output_file.write(" ".join("%.9f" % value for value in v.data))
+                        output_file.write(" ")
+                    output_file.write("\n")
+
+    odb.close()
+
+
+# Run the main function
+if __name__ == "__main__":
+    main()
diff --git a/piglot/solver/abaqus/solver.py b/piglot/solver/abaqus/solver.py
new file mode 100644
index 0000000..7d05f82
--- /dev/null
+++ b/piglot/solver/abaqus/solver.py
@@ -0,0 +1,238 @@
+"""Module for Abaqus solver."""
+from typing import Dict, Any
+import os
+import time
+import shutil
+import subprocess
+from multiprocessing.pool import ThreadPool as Pool
+import numpy as np
+from piglot.parameter import ParameterSet
+from piglot.solver.solver import Solver, Case, CaseResult, OutputField, OutputResult
+from piglot.solver.abaqus.fields import abaqus_fields_reader, AbaqusInputData
+
+
+class AbaqusSolver(Solver):
+    """Abaqus solver."""
+
+    def __init__(
+        self,
+        cases: Dict[Case, Dict[str, OutputField]],
+        parameters: ParameterSet,
+        output_dir: str,
+        abaqus_bin: str,
+        parallel: int,
+        tmp_dir: str,
+    ) -> None:
+        """Constructor for the Abaqus solver class.
+
+        Parameters
+        ----------
+        cases : Dict[Case, Dict[str, OutputField]]
+            Cases to be run and respective output fields.
+        parameters : ParameterSet
+            Parameter set for this problem.
+        output_dir : str
+            Path to the output directory.
+        abaqus_bin : str
+            Path to the abaqus binary.
+        parallel : int
+            Number of parallel processes to use.
+        tmp_dir : str
+            Path to the temporary directory.
+        """
+        super().__init__(cases, parameters, output_dir)
+        self.abaqus_bin = abaqus_bin
+        self.parallel = parallel
+        self.tmp_dir = tmp_dir
+
+    def _post_proc_variables(self, input_data: AbaqusInputData) -> Dict[str, Any]:
+        """Generate the post-processing variables.
+
+        Parameters
+        ----------
+        input_data : AbaqusInputData
+            Input data for the simulation.
+
+        Returns
+        -------
+        Dict[str, Any]
+            Dictionary with the post processing variables.
+        """
+        input_file, ext = os.path.splitext(os.path.basename(input_data.input_file))
+        variables = {}
+        variables['input_file'] = input_file + ext
+        variables['job_name'] = input_data.job_name
+        variables['step_name'] = input_data.step_name
+        variables['instance_name'] = input_data.instance_name
+
+        return variables
+
+    def _run_case(self, values: np.ndarray, case: Case, tmp_dir: str) -> CaseResult:
+        """Run single/parallel cases with Abaqus.
+
+        Parameters
+        ----------
+        values: np.ndarray
+            Current parameter values
+        case : Case
+            Case to run.
+        tmp_dir: str
+            Temporary directory to run the simulation
+
+        Returns
+        -------
+        CaseResult
+            Results for this case
+        """
+
+        # Create a temporary directory (the name of the directory is the case name) inside tmp_dir
+        # (because of parallel runs) and copy the input file
+        case_name, _ = os.path.splitext(os.path.basename(case.input_data.input_file))
+        tmp_dir = os.path.join(tmp_dir, case_name)
+        os.mkdir(tmp_dir)
+
+        # Copy input file replacing parameters by passed value
+        input_data = case.input_data.prepare(
+            values, self.parameters, tmp_dir=tmp_dir)
+        input_file = input_data.input_file
+
+        # Run ABAQUS (we don't use high precision timers here to keep track of the start time)
+        begin_time = time.time()
+        run_inp = subprocess.run(
+            [self.abaqus_bin, f"job={input_data.job_name}", f"input={os.path.basename(input_file)}",
+                'interactive', 'ask_delete=OFF'],
+            cwd=tmp_dir,
+            shell=False,
+            stdout=subprocess.DEVNULL,
+            stderr=subprocess.DEVNULL,
+            check=False
+        )
+
+        variables = self._post_proc_variables(input_data)
+        python_script = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'reader.py')
+
+        run_odb = subprocess.run(
+            [self.abaqus_bin, 'viewer', f"noGUI={python_script}", "--",
+             f"input_file={variables['input_file']}", "--",
+             f"job_name={variables['job_name']}", "--",
+             f"step_name={variables['step_name']}", "--",
+             f"instance_name={variables['instance_name']}"],
+            cwd=tmp_dir,
+            shell=False,
+            stdout=subprocess.DEVNULL,
+            stderr=subprocess.DEVNULL,
+            check=False
+        )
+        end_time = time.time()
+
+        failed_case = (run_inp.returncode != 0 or run_odb.returncode != 0)
+
+        responses = {name: field.get(input_data) if not failed_case else
+                     OutputResult(np.empty(0), np.empty(0)) for name, field in case.fields.items()}
+
+        return CaseResult(
+            begin_time,
+            end_time - begin_time,
+            values,
+            not failed_case,
+            self.parameters.hash(values),
+            responses,
+        )
+
+    def _solve(self, values: np.ndarray, concurrent: bool,) -> Dict[Case, CaseResult]:
+        """Internal solver for the prescribed problems.
+
+        Parameters
+        ----------
+        values : array
+            Current parameters to evaluate.
+        concurrent : bool
+            Whether this run may be concurrent to another one (so use unique file names).
+
+        Returns
+        -------
+        Dict[Case, CaseResult]
+            Results for each case.
+        """
+        # Ensure tmp directory is clean
+        tmp_dir = f'{self.tmp_dir}_{self.parameters.hash(values)}' if concurrent else self.tmp_dir
+        if os.path.isdir(tmp_dir):
+            shutil.rmtree(tmp_dir)
+        os.mkdir(tmp_dir)
+        # Run cases (in parallel if specified)
+
+        def run_case(case: Case) -> CaseResult:
+            return self._run_case(values, case, tmp_dir)
+        if self.parallel > 1:
+            with Pool(self.parallel) as pool:
+                results = pool.map(run_case, self.cases)
+        else:
+            results = map(run_case, self.cases)
+        # Ensure we actually resolve the map
+        results = list(results)
+        # Cleanup temporary directories
+        if concurrent:
+            shutil.rmtree(tmp_dir)
+        # Build output dict
+        return dict(zip(self.cases, results))
+
+    def get_current_response(self) -> Dict[str, OutputResult]:
+        """Get the responses from a given output field for all cases.
+
+        Returns
+        -------
+        Dict[str, OutputResult]
+            Output responses.
+        """
+        fields = self.get_output_fields()
+        return {
+            name: field.get(case.input_data.get_current(self.tmp_dir))
+            for name, (case, field) in fields.items()
+        }
+
+    @staticmethod
+    def read(config: Dict[str, Any], parameters: ParameterSet, output_dir: str) -> Solver:
+        """Read the solver from the configuration dictionary.
+
+        Parameters
+        ----------
+        config : Dict[str, Any]
+            Configuration dictionary.
+        parameters : ParameterSet
+            Parameter set for this problem.
+        output_dir : str
+            Path to the output directory.
+
+        Returns
+        -------
+        Solver
+            Solver to use for this problem.
+        """
+        # Get the Abaqus binary path
+        if 'abaqus_path' not in config:
+            raise ValueError("Missing 'abaqus_path' in solver configuration.")
+        abaqus_bin = config['abaqus_path']
+        # Read the parallelism and temporary directory (if present)
+        parallel = int(config.get('parallel', 1))
+        tmp_dir = os.path.join(output_dir, config.get('tmp_dir', 'tmp'))
+        # Read the cases
+        if 'cases' not in config:
+            raise ValueError("Missing 'cases' in solver configuration.")
+        cases = []
+        for case_name, case_config in config['cases'].items():
+            if 'fields' not in case_config:
+                raise ValueError(
+                    f"Missing 'fields' in case '{case_name}' configuration.")
+            fields = {
+                field_name: abaqus_fields_reader(field_config)
+                for field_name, field_config in case_config['fields'].items()
+            }
+            # If job_name, step_name and instance_name are not indicated, the default value is None
+            job_name = case_config.get('job_name', None)
+            step_name = case_config.get('step_name', None)
+            instance_name = case_config.get('instance_name', None)
+            cases.append(Case(AbaqusInputData(case_name, job_name,
+                                              step_name,
+                                              instance_name), fields))
+        # Return the solver
+        return AbaqusSolver(cases, parameters, output_dir, abaqus_bin, parallel, tmp_dir)