Enhance manuscript with updated optimization framework and new references

Manuscript/Figures/LoadPatterns/plot_load_patterns.py

@@ -33,7 +33,7 @@ COLOR_GRID = "#d8d8d8"
 
 X_LABEL = "Time (s)"
 Y_LABEL = "Displacement (mm)"
-SERIES_LABELS = ["H30", "H45", "H60"]
+SERIES_LABELS = [r"$F_1$ and $F_2$", r"$F_3$ and $F_4$", r"$F_5$"]
 
 
 def load_loading_patterns(path):

Manuscript/Figures/MLSurrogatesComparison/plot_surrogate_selection_summary.py

@@ -11,8 +11,8 @@ Edit ``CSV_PATH`` and ``FIG_PATH`` if needed.
 
 from pathlib import Path
 
-import pandas as pd
 import matplotlib.pyplot as plt
+import pandas as pd
 
 plt.rcParams.update(
     {
@@ -40,6 +40,11 @@ FIG_PATH = BASE_DIR / "surrogate_selection_summary_barplot"
 MODEL_ORDER = ["SVR", "GPR", "GBR", "XGBoost", "MLP", "RF"]
 WINDOW_ORDER = ["2W", "3W", "5W"]
 TIME_WINDOW_ORDER = ["2W", "3W", "5W"]
+WINDOW_LABELS = {
+    "2W": r"$N_w=2$",
+    "3W": r"$N_w=3$",
+    "5W": r"$N_w=5$",
+}
 VARIABLE_TYPE_ORDER = ["Distortion", "Damage"]
 SUBGROUP_ORDER = [
     ("2W", "Distortion"),
@@ -192,7 +197,7 @@ def main() -> None:
             ax.text(
                 (distortion_x + damage_x) / 2,
                 -0.105,
-                window_group,
+                WINDOW_LABELS.get(window_group, window_group),
                 transform=ax.get_xaxis_transform(),
                 ha="center",
                 va="top",
@@ -204,9 +209,7 @@ def main() -> None:
             model_rows[[f"selected_{window}" for window in WINDOW_ORDER]].sum().sum()
         )
         total_lowest_rmse = int(
-            model_rows[[f"lowest_rmse_{window}" for window in WINDOW_ORDER]]
-            .sum()
-            .sum()
+            model_rows[[f"lowest_rmse_{window}" for window in WINDOW_ORDER]].sum().sum()
         )
         ax.text(
             model_centers[MODEL_ORDER.index(model)],

Manuscript/Figures/OptimizedWindowThicknessEvolution/plot_optimal_thickness_evolution.py

@@ -52,6 +52,13 @@ WINDOW_COLORS = {
     "tw4": "#8B6BBE",
     "tw5": "#D49A2A",
 }
+FAMILY_LABELS = {
+    "H30_B29": r"$F_1$",
+    "H30_B34": r"$F_2$",
+    "H45_B29": r"$F_3$",
+    "H45_B34": r"$F_4$",
+    "H60_B34": r"$F_5$",
+}
 COLOR_GRID = "#d8d8d8"
 ITERATION_STEP = 0.78
 FAMILY_GAP = 1.05
@@ -186,7 +193,7 @@ def plot_all_families(rows: list[dict], out_base: Path):
         ax.text(
             center,
             -0.115,
-            family,
+            FAMILY_LABELS.get(family, family),
             transform=ax.get_xaxis_transform(),
             ha="center",
             va="top",

Manuscript/Optimal-Design-layout/RESILINK_surrogate_optimization_OptimalDesignLayout.bbl

 \begin{thebibliography}{10}
 \providecommand \doibase [0]{http://dx.doi.org/}%
 
+\bibitem{Napolitano2024}
+Napolitano C, Vaiana N, Monsalve JML, Rosati L. Nonlinear {Dynamic} {Analysis} of {Structures} {Equipped} with {Shear} {Links} by {NextFEM} {Designer}®. In:  Mazzolani FM, Piluso V, Nastri E, Formisano A. \kern-2pt, eds. {\it Proceedings of the 11th {International} {Conference} on {Behaviour} of {Steel} {Structures} in {Seismic} {Areas}}International Conference on Behaviour of Steel Structures in Seismic Areas. Springer Nature Switzerland 2024; Cham\string:276--285
+
 \bibitem{Malley1984}
 Malley JO, Popov EP. Shear {Links} in {Eccentrically} {Braced} {Frames}. {\it Journal of Structural Engineering.} 1984\string;110(9)\string:2275--2295.
 \newblock \href {\doibase 10.1061/(ASCE)0733-9445(1984)110:9(2275)} {doi: 10.1061/(ASCE)0733-9445(1984)110:9(2275)}

Manuscript/Optimal-Design-layout/RESILINK_surrogate_optimization_OptimalDesignLayout.blg

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Manuscript/wileyNJD-AMA.bib

@@ -792,4 +792,21 @@ steel from coupon test results available. First, the theory of metal plasticity
   urldate  = {2026-05-13},
 }
 
+@InProceedings{Napolitano2024,
+  author    = {Napolitano, Ciro and Vaiana, Nicolò and Monsalve, Julian Mauricio Londono and Rosati, Luciano},
+  booktitle = {Proceedings of the 11th {International} {Conference} on {Behaviour} of {Steel} {Structures} in {Seismic} {Areas}},
+  title     = {Nonlinear {Dynamic} {Analysis} of {Structures} {Equipped} with {Shear} {Links} by {NextFEM} {Designer}®},
+  year      = {2024},
+  address   = {Cham},
+  editor    = {Mazzolani, Federico M. and Piluso, Vincenzo and Nastri, Elide and Formisano, Antonio},
+  organization = {International Conference on Behaviour of Steel Structures in Seismic Areas},
+  pages     = {276--285},
+  publisher = {Springer Nature Switzerland},
+  abstract  = {Shear link devices are metallic dampers that can be adopted to control structural vibrations induced by seismic and wind loads due to their typical rate-independent hysteretic behavior. To allow for an accurate and computationally efficient nonlinear dynamic analysis of structures equipped with shear links, we briefly present both the analytical and differential formulations of the Vaiana-Rosati model of hysteresis. Such a phenomenological model has been recently implemented in NextFEM Designer, a computer program for finite element analysis. To simplify the hysteresis model calibration, some preliminary details on a parameter identification procedure are provided. Finally, nonlinear time history analyses are carried out, by using NextFEM Designer, on a structure subjected to earthquake excitation.},
+  doi       = {10.1007/978-3-031-62888-7_25},
+  isbn      = {978-3-031-62888-7},
+  keywords  = {Nonlinear Dynamic Analysis, Rate-Independent Hysteresis, Shear Link, Vaiana-Rosati Model},
+  language  = {en},
+}
+
 @Comment{jabref-meta: databaseType:bibtex;}