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README.md

@@ -1,14 +1,57 @@
 ---
-title: RCBeamdesign
-emoji: 🐢
-colorFrom: green
-colorTo: gray
+title: "Continuous Beam RC Design"
+emoji: "🏗️"
+colorFrom: blue
+colorTo: green
 sdk: gradio
-sdk_version: 5.34.2
+sdk_version: "4.0.0"
 app_file: app.py
 pinned: false
-license: mit
-short_description: RC beam design
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Continuous Beam RC Design App
+
+A comprehensive continuous beam reinforced concrete design application using finite element analysis and ACI code provisions.
+
+## Features
+
+- **Finite Element Analysis**: Accurate structural analysis for up to 10 spans
+- **ACI Code Compliance**: Reinforcement design according to ACI 318
+- **Multiple Loading Types**: 
+  - Distributed loads (kN/m)
+  - Point loads (kN)
+  - Mixed loading patterns
+- **Comprehensive Results**:
+  - Bending Moment Diagrams (BMD)
+  - Shear Force Diagrams (SFD)
+  - Reinforcement layout
+  - Stirrup spacing details
+- **Professional Output**: Detailed design reports and visual diagrams
+
+## Usage
+
+1. **Set Beam Properties**: Width, depth, concrete strength (f'c), steel strength (fy), cover
+2. **Add Spans**: Enter span length and distributed load
+3. **Add Point Loads** (optional): Use format `position,load; position,load`
+   - Example: `2.0,50; 4.0,30` means 50kN at 2m and 30kN at 4m
+4. **Design Beam**: Get complete analysis and design results
+
+## Technical Details
+
+- **Analysis Method**: Finite Element Method with beam elements
+- **Design Code**: ACI 318 (American Concrete Institute)
+- **Capacity**: Up to 10 continuous spans
+- **Load Types**: Distributed and concentrated loads
+- **Output**: Moments, shears, reinforcement, stirrups
+
+## Built With
+
+- **Python**: Core calculations and finite element analysis
+- **Gradio**: Web interface
+- **NumPy**: Numerical computations
+- **Matplotlib**: Plotting and visualization
+- **Pandas**: Data handling
+
+---
+
+*Using advanced finite element analysis for accurate continuous beam behavior*

app.py

@@ -5,6 +5,13 @@ import matplotlib.pyplot as plt
 import numpy as np
 import io
 import base64
+import gc  # Garbage collection for memory management
+import warnings
+warnings.filterwarnings('ignore')  # Suppress warnings for cleaner output
+
+# Configure matplotlib for cloud deployment
+plt.style.use('default')  # Use simple style
+plt.rcParams['figure.max_open_warning'] = 0  # Disable figure warnings
 
 class GradioBeamApp:
     def __init__(self):
@@ -80,6 +87,10 @@ class GradioBeamApp:
             return "No spans added. Please add at least one span.", None, None, None, None, None
         
         try:
+            # Limit spans for cloud deployment
+            if len(self.beam.spans) > 10:
+                return "Error: Maximum 10 spans allowed for cloud deployment.", None, None, None, None, "Error: Too many spans"
+            
             # Update beam properties
             self.beam.beam_width = float(width)
             self.beam.beam_depth = float(depth)
@@ -88,7 +99,7 @@ class GradioBeamApp:
             self.beam.cover = float(cover)
             self.beam.d = self.beam.beam_depth - self.beam.cover
             
-            # Perform design
+            # Perform design with timeout protection
             design_results = self.beam.design_beam()
             
             # Generate report
@@ -114,15 +125,27 @@ class GradioBeamApp:
                 'Span', 'Location', 'Moment (kN-m)', 'Reinforcement', 'Shear (kN)', 'Stirrups'
             ])
             
-            # Generate plots
-            bmd_sfd_plot = self.beam.plot_bmd_sfd(design_results)
-            reinforcement_plot = self.beam.plot_reinforcement_layout(design_results)
-            stirrup_plot = self.beam.plot_stirrup_layout(design_results)
+            # Generate plots with error handling
+            try:
+                bmd_sfd_plot = self.beam.plot_bmd_sfd(design_results)
+                reinforcement_plot = self.beam.plot_reinforcement_layout(design_results)
+                stirrup_plot = self.beam.plot_stirrup_layout(design_results)
+            except Exception as plot_error:
+                print(f"Plotting error: {plot_error}")
+                # Return simplified results if plotting fails
+                return report, df, None, None, None, "Design completed (plots unavailable)"
+            
+            # Force garbage collection to free memory
+            gc.collect()
             
             return report, df, bmd_sfd_plot, reinforcement_plot, stirrup_plot, "Design completed successfully!"
             
         except Exception as e:
-            return f"Design calculation failed: {str(e)}", None, None, None, None, f"Error: {str(e)}"
+            gc.collect()  # Clean up memory on error
+            error_msg = str(e)
+            if "memory" in error_msg.lower() or "allocation" in error_msg.lower():
+                return "Error: Insufficient memory. Try reducing the number of spans or load complexity.", None, None, None, None, "Memory Error"
+            return f"Design calculation failed: {error_msg}", None, None, None, None, f"Error: {error_msg}"
 
 def create_interface():
     app = GradioBeamApp()
@@ -223,11 +246,15 @@ def create_interface():
 
 def main():
     interface = create_interface()
+    # Optimized for Hugging Face Spaces
     interface.launch(
-        server_name="0.0.0.0",  # Allow external access
-        server_port=8000,       # Default Gradio port
-        share=False,            # Set to True if you want a public link
-        debug=True
+        share=False,
+        debug=False,  # Disable debug for production
+        show_error=True,
+        quiet=True,   # Reduce console output
+        ssr_mode=False,  # Disable SSR for compatibility
+        auth=None,    # No authentication required
+        max_threads=10  # Limit concurrent threads
     )
 
 if __name__ == "__main__":

continuous_beam.py

@@ -1,8 +1,15 @@
 import numpy as np
+import matplotlib
+matplotlib.use('Agg')  # Use non-interactive backend for cloud deployment
 import matplotlib.pyplot as plt
 from typing import List, Dict, Tuple
 import math
 
+# Configure matplotlib for cloud deployment
+plt.ioff()  # Turn off interactive mode
+plt.rcParams['figure.dpi'] = 80  # Lower DPI for faster rendering
+plt.rcParams['savefig.dpi'] = 80
+
 class ContinuousBeam:
     """
     Continuous beam analysis and RC design according to ACI code
@@ -106,8 +113,10 @@ class ContinuousBeam:
         h = self.beam_depth / 1000  # Convert mm to m
         I = b * h**3 / 12  # m^4
         
-        # Create mesh - each span divided into elements
-        elements_per_span = 10  # Number of elements per span
+        # Create mesh - optimize for cloud deployment
+        # Reduce elements per span for better performance on limited resources
+        max_elements_per_span = min(8, max(4, int(40 / len(self.spans))))  # Scale down for many spans
+        elements_per_span = max_elements_per_span
         total_elements = len(self.spans) * elements_per_span
         total_nodes = total_elements + 1
         
@@ -253,7 +262,8 @@ class ContinuousBeam:
                 theta2 = self.displacements[2*node2+1]  # rotation at node 2
                 
                 # Calculate forces at multiple points within element
-                n_points = 10
+                # Reduce points for cloud deployment performance
+                n_points = 5  # Reduced from 10 to 5
                 for i in range(n_points):
                     xi = i / (n_points - 1)  # 0 to 1
                     x_local = xi * element_length
@@ -769,6 +779,12 @@ class ContinuousBeam:
             ax2.plot(pos, 0, 'rs', markersize=8, label='Support' if pos == span_positions[0] else "")
         
         plt.tight_layout()
+        
+        # Close any other open figures to free memory
+        for i in plt.get_fignums():
+            if i != fig.number:
+                plt.close(i)
+        
         return fig
     
     def plot_reinforcement_layout(self, design_results=None):
@@ -918,6 +934,12 @@ class ContinuousBeam:
         ax.legend(handles=legend_elements, loc='upper right')
         
         plt.tight_layout()
+        
+        # Close any other open figures to free memory
+        for i in plt.get_fignums():
+            if i != fig.number:
+                plt.close(i)
+        
         return fig
     
     def plot_stirrup_layout(self, design_results=None):
@@ -1033,4 +1055,10 @@ class ContinuousBeam:
         ax.legend(handles=legend_elements, loc='upper right')
         
         plt.tight_layout()
+        
+        # Close any other open figures to free memory
+        for i in plt.get_fignums():
+            if i != fig.number:
+                plt.close(i)
+        
         return fig

example_design.py

@@ -0,0 +1,103 @@
+#!/usr/bin/env python3
+"""
+Example usage of the Continuous Beam RC Design application
+This script demonstrates how to use the ContinuousBeam class programmatically
+"""
+
+from continuous_beam import ContinuousBeam
+
+def example_design():
+    """
+    Example: Design a 3-span continuous beam
+    """
+    print("Continuous Beam RC Design Example")
+    print("="*50)
+    
+    # Create beam instance
+    beam = ContinuousBeam()
+    
+    # Set beam properties
+    beam.beam_width = 300  # mm
+    beam.beam_depth = 500  # mm
+    beam.fc = 28  # MPa
+    beam.fy = 420  # MPa
+    beam.cover = 40  # mm
+    beam.d = beam.beam_depth - beam.cover
+    
+    print(f"Beam dimensions: {beam.beam_width} × {beam.beam_depth} mm")
+    print(f"Material properties: f'c = {beam.fc} MPa, fy = {beam.fy} MPa")
+    print(f"Effective depth: {beam.d} mm")
+    print()
+    
+    # Add spans
+    beam.add_span(length=6.0, distributed_load=25.0)  # Span 1: 6m, 25 kN/m
+    beam.add_span(length=8.0, distributed_load=30.0)  # Span 2: 8m, 30 kN/m
+    beam.add_span(length=5.0, distributed_load=20.0)  # Span 3: 5m, 20 kN/m
+    
+    print("Spans added:")
+    for i, span in enumerate(beam.spans):
+        print(f"  Span {i+1}: Length = {span['length']}m, Load = {span['distributed_load']} kN/m")
+    print()
+    
+    # Perform design
+    try:
+        design_results = beam.design_beam()
+        
+        # Generate report
+        report = beam.generate_report(design_results)
+        print(report)
+        
+        # Additional analysis
+        print("\n" + "="*60)
+        print("DESIGN SUMMARY")
+        print("="*60)
+        
+        total_steel = 0
+        max_moment = 0
+        max_shear = 0
+        
+        for span_data in design_results:
+            span_num = span_data['span']
+            print(f"\nSpan {span_num} ({span_data['length']}m):")
+            
+            for reinf in span_data['reinforcement']:
+                if reinf['As_required'] > 0:
+                    total_steel += reinf['As_provided']
+                    if abs(reinf['moment']) > abs(max_moment):
+                        max_moment = reinf['moment']
+                    print(f"  {reinf['location']}: {reinf['bars']} (As = {reinf['As_provided']:.0f} mm²)")
+            
+            for stirrup in span_data['stirrups']:
+                if stirrup['shear'] != 0 and abs(stirrup['shear']) > abs(max_shear):
+                    max_shear = stirrup['shear']
+        
+        print(f"\nOverall Summary:")
+        print(f"  Total steel area: {total_steel:.0f} mm²")
+        print(f"  Maximum moment: {max_moment:.2f} kN-m")
+        print(f"  Maximum shear: {max_shear:.2f} kN")
+        print(f"  Steel ratio: {total_steel/(beam.beam_width * beam.d * len(beam.spans))*100:.2f}%")
+        
+    except Exception as e:
+        print(f"Design failed: {e}")
+
+def run_gui():
+    """
+    Launch the GUI application
+    """
+    try:
+        from beam_design_app import main
+        print("Launching GUI application...")
+        main()
+    except ImportError as e:
+        print(f"GUI application not available: {e}")
+        print("Please install tkinter and matplotlib to use the GUI")
+
+if __name__ == "__main__":
+    # Run example design
+    example_design()
+    
+    # Ask user if they want to launch GUI
+    print("\n" + "="*60)
+    response = input("Would you like to launch the GUI application? (y/n): ").lower().strip()
+    if response in ['y', 'yes']:
+        run_gui()

test_design.py

@@ -0,0 +1,54 @@
+#!/usr/bin/env python3
+"""
+Test script for the Continuous Beam RC Design application
+"""
+
+from continuous_beam import ContinuousBeam
+
+def test_single_span():
+    """Test single span beam"""
+    print("Testing Single Span Beam")
+    print("-" * 30)
+    
+    beam = ContinuousBeam()
+    beam.add_span(length=8.0, distributed_load=30.0)
+    
+    design_results = beam.design_beam()
+    report = beam.generate_report(design_results)
+    print(report)
+
+def test_two_span():
+    """Test two span continuous beam"""
+    print("\nTesting Two Span Continuous Beam")
+    print("-" * 35)
+    
+    beam = ContinuousBeam()
+    beam.add_span(length=6.0, distributed_load=25.0)
+    beam.add_span(length=8.0, distributed_load=30.0)
+    
+    design_results = beam.design_beam()
+    report = beam.generate_report(design_results)
+    print(report)
+
+def test_custom_materials():
+    """Test with custom material properties"""
+    print("\nTesting Custom Material Properties")
+    print("-" * 35)
+    
+    beam = ContinuousBeam()
+    beam.fc = 35  # Higher strength concrete
+    beam.fy = 500  # Higher strength steel
+    beam.beam_width = 400
+    beam.beam_depth = 600
+    beam.d = beam.beam_depth - beam.cover
+    
+    beam.add_span(length=10.0, distributed_load=40.0)
+    
+    design_results = beam.design_beam()
+    report = beam.generate_report(design_results)
+    print(report)
+
+if __name__ == "__main__":
+    test_single_span()
+    test_two_span()
+    test_custom_materials()