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Finite Element Analysis of Truss Girder of Long Span Double Girder Gantry Crane

Abstract

This paper uses finite element analysis to evaluate the structural performance and optimize the design of the truss girder of a 75t+75t, 42m long-span, double-girder gantry crane. A parametric finite element model was established using ANSYS software. Loading was performed according to the corresponding operating conditions specified in the crane design specification to analyze the strength, stiffness, and stability of the girder structure. The study demonstrates that finite element analysis can accurately identify the stress distribution and deformation of the girder, effectively improve structural weaknesses, and ultimately determine a truss girder structure that meets design requirements. This paper systematically describes the entire process, from model establishment, load calculation, boundary condition setting, to results analysis, providing a reliable theoretical basis and technical support for the design of long-span gantry cranes.

Introduction

Gantry cranes are essential equipment in modern industrial production and logistics transportation. The performance of their girder structures is directly related to the operational safety and service life of the entire crane. For long-span double-girder truss gantry cranes (e.g., 42m), the main girder design presents a particularly challenging challenge: ensuring sufficient strength and stiffness while minimizing deadweight to maximize economic efficiency. Traditional design methods rely primarily on empirical formulas and analogical design, making it difficult to accurately predict structural response under complex loading conditions. Finite element analysis (FEA) technology provides an effective means to address this problem. Computer simulations can visually display the stress distribution and deformation of the structure, significantly improving design efficiency and reliability.

Truss structures, with their advantages of light weight, high rigidity, and low wind resistance, are particularly suitable for the design of main girders for long-span gantry cranes. Compared with box girders, truss girders more fully utilize material strength, with each member primarily bearing axial tension or compression, resulting in a more balanced stress distribution. However, truss structures have complex joint connections and significant localized stress concentration, necessitating detailed FEA analysis to assess their safety.

This article, drawing on engineering examples, details the FEA method for the truss main girder of a long-span double-girder gantry crane, including model simplification principles, load combination methods, boundary condition processing, and result evaluation criteria, providing a reference for the design of similar structures.

double girder truss gantry crane truss crane

Crane Parameters and Model Establishment

Main Technical Parameters of the Crane

The double-girder truss gantry crane studied in this paper has the following main technical parameters:

  • Lifting capacity: 75t + 75t (double lifting points)
  • Span: 42m
  • Working Class: A5
  • Main beam structure: Truss (double beam)
  • Outrigger configuration: One rigid outrigger, one flexible outrigger
  • Total beam length: Approximately 45m (including the cantilever)
  • Steel material: Q345B

Geometric model simplification

When establishing the finite element model, appropriate simplifications were made to the actual structure while ensuring accuracy:

  1. Main beam structure: Main load-bearing chords and web members were retained, while small-sized connecting plates and non-load-bearing components were ignored.
  2. Joint treatment: Welded nodes were simplified as rigid connections, taking into account the stiffness effects of the node area.
  3. Outriggers and end beams: Outriggers and end beams were treated as boundary conditions, focusing on the load state of the main beam itself.
  4. Connection components: High-strength bolt connections were simplified as bound contact or coupling constraints.

Finite Element Model Creation

A parametric finite element model was created using ANSYS software. The specific steps are as follows:

  1. Element Type Selection: Beam188 beam elements were used to simulate truss members. Beam188 is a two-node, three-dimensional element based on Timoshenko beam theory. Each node has six degrees of freedom, allowing for shear deformation effects and making it suitable for analyzing slender members.
  2. Material Property Definitions:
    • Elastic Modulus E = 2.06 × 10⁵ MPa
    • Poisson’s Ratio ν = 0.3
    • Density ρ = 7850 kg/m³
    • Yield Strength σs = 345 MPa
  3. Sectional Properties:
    • Top Chord: 400 × 400 × 12 Box Section
    • Bottom Chord: 400 × 400 × 10 Box Section
    • Web: 200 × 200 × 8 Box Section or H-Beam
  4. Meshing:
    • Use segmented sizing to ensure each member is divided into at least three elements.
    • Mesh refinement is applied to node areas to capture local stress concentrations.
    • The total number of nodes in the model is approximately 8,500, and the number of elements is approximately 12,500.

Table: Cross-sectional parameters of main members of truss main beam

Member typeCross-sectional formSize(mm)Cross-sectional area(cm²)Moment of inertiaIx(cm⁴)
Upper chordBox type400×400×12185.652300
Lower chordBox type400×400×10156.045600
Vertical abdominal barH typeHW200×20064.34770
Oblique abdominal barRound tubeΦ219×853.02510
  1. Boundary condition simulation:
    • Apply fixed constraints (full constraints) at the connection between the outrigger and the end beam.
    • Considering the elastic support characteristics of the actual structure, set appropriate spring stiffness to simulate foundation flexibility.

Load Analysis and Working Condition Combination

Load Types and Calculations

The loads acting on the truss main beam primarily include the following:

  1. Permanent Loads (Dead Loads):
    • Structural Weight: Automatically calculated by the software based on material density and geometric dimensions, with a 1.1 magnification factor to account for the added weight of welds, connecting plates, and other components.
    • Fixed Equipment Weight: This includes walkways, railings, electrical equipment, and other components, applied as a uniformly distributed load, totaling approximately 18.5 kN.
  2. Variable Loads (Live Loads):
    • Lifting Load: Rated lifting capacity is 75 tons (735 kN). Considering a dynamic load factor of φ₂ = 1.15, the design load P = 735 × 1.15 = 845.25 kN.
    • Trolley Weight: A single trolley weighs approximately 12 tons (117.6 kN), with a double trolley weighing a total of 24 tons.
    • Inertial Load: Caused by crane starting and braking, calculated as 10% of the vertical load and 5% of the horizontal load. Lateral force during skew operation: Consider 10% of the maximum wheel pressure.
  3. Environmental loads:
    • Wind load: Calculated in operating mode at wind speed level 6 (wind pressure 250Pa); in non-operating mode at maximum wind speed level 12 (wind pressure 1200Pa).
    • Temperature load: Consider a temperature fluctuation of ±30°C.

Combination Analysis of Load Conditions

According to GB/T 3811-2008 “Crane Design Code,” the following four typical load conditions were selected for combined analysis:

  1. Load Condition 1: Vertical Static Load Condition
    • 1.0 × Deadweight + 1.4 × Hoisting Load
    • Used to evaluate the static strength and stiffness of the main beam.
  2. Load Condition 2: Vertical Dynamic Load Condition
    • 1.0 × Deadweight + 1.4 × φ₂ × Hoisting Load + 1.1 × Inertia Force
    • Used to analyze the structural response under dynamic effects.
  3. Load Condition 3: Horizontal Load Condition
    • 1.0 × Deadweight + 1.2 × Hoisting Load + 1.3 × Lateral Force + 1.3 × Wind Load
    • Evaluates the lateral stiffness and torsional resistance of the structure.
  4. Load Condition 4: Special Load Condition
    • 1.0 × Deadweight + 1.0 × Hoisting Load + 1.0 × Non-operating Wind Load
    • Verifies the structural safety under extreme conditions.

Table: Load condition combination coefficient table

Load TypeWorking conditions1Working conditions2Working conditions3Working conditions4
Deadweight1.01.01.01.0
Lifting load1.41.4×φ₂1.21.0
Trolley weight1.21.21.11.0
Inertial force1.1
Lateral force1.3
Working wind load1.3
Non-operating wind load1.0

Load Application Method

  1. Concentrated Load: Trolley wheel pressure is converted to nodal forces using the MPC184 multi-point constraint element to avoid local stress distortion.
  2. Uniformly Distributed Load: The weight of the walkway, railing, etc. is converted into linear loads and applied to the chord.
  3. Wind Load: Calculated using the shape coefficient method and applied perpendicular to the windward surface.
  4. Temperature Load: A uniform temperature field is applied using the thermal analysis module.

Finite Element Calculation Results and Analysis

Stress Analysis Results

ANSYS calculations were used to obtain stress distribution contours for the main beam under various load conditions. Overall, the maximum stress occurs at the mid-span junction between the lower chord and the web, as well as near the outriggers, consistent with theoretical expectations.

  1. Condition 1 (vertical static load):
    • Maximum stress in the lower chord at midspan (σmax) = 187 MPa
    • Maximum compressive stress in the upper chord (σc) = 156 MPa
    • Maximum stress in the web (σw) = 132 MPa
    • Local peak stress concentration area reaches 215 MPa
  2. Condition 2 (vertical dynamic load):
    • Dynamic effects increase stress by approximately 15%
    • Maximum stress in the lower chord at midspan (σmax) = 218 MPa
    • Stress fluctuations at locations with significant impact effects reach ±25 MPa
  3. Condition 3 (horizontal load):
    • Lateral forces cause significant torsion in the main beam
    • Stress in the unilateral chord increases by 20-30%
    • Maximum combined stress (σcomb) = 245 MPa
  4. Condition 4 (special load):
    • Structural stress levels are low under non-operating wind loads
    • Maximum stress (σmax) = 168 MPa
    • Local high stress occurs in the leg connection area

The maximum equivalent stresses under all conditions are below the allowable stress of 295 MPa for Q345B steel (calculated at 0.85 σs), meeting strength requirements.

Deformation Analysis Results

The main girder’s stiffness is a key indicator for evaluating the performance of long-span cranes. According to GB/T 3811, for double-girder truss gantry cranes, the vertical static deflection of the main girder should be controlled within L/700 (L is the span). This means that for a 42m span, the allowable deflection is 60mm.

  1. Vertical Static Deflection:
    • Under Condition 1, the maximum deflection at midspan, fmax, is 52.3mm.
    • The deflection-to-span ratio, fmax/L, is 1/803, less than 1/700.
    • Meets the stiffness requirements.
  2. Horizontal Displacement:
    • Under Condition 3, the horizontal displacement at midspan, d, is 38.7mm.
    • The horizontal displacement-to-span ratio, d/L, is 1/1085.
    • Sufficient lateral stiffness reserve is achieved.
  3. Dynamic Deflection:
    • Under Condition 2, the deflection fluctuation range is 45-58mm.
    • The vibration frequency is 1.2Hz, far below the trolley operating frequency (0.5-0.8Hz).
    • No resonance risk.

Table: Summary of main beam deformation calculation results

Working conditionsMaximum vertical deflection(mm)Allowed values(mm)Maximum horizontal displacement(mm)Stress/deflection safety margin
Working conditions152.36015%
Working conditions258.012%
Working conditions338.718%
Working conditions422.515.230%

Buckling Stability Analysis

Long-span truss structures require special attention to both global and local stability. ANSYS eigenvalue buckling analysis is used to calculate the buckling modes and critical load factors of the structure under ultimate loads.

  1. First-order buckling mode:
    • Mid-span lateral bending
    • Critical load factor λ1 = 4.27
    • Buckling safety factor ncr = 4.27 > 1.5 (code requirement)
  2. Second-order buckling mode:
    • Local buckling of the chord near the outrigger
    • Critical load factor λ2 = 5.83
  3. Local stability:
    • Box-type chord width-to-thickness ratio b/t = 33.3 < 42εk (εk = (235/345)^0.5 = 0.825)
    • Meets GB 50017 requirements.

Structural Optimization Design

Based on initial finite element analysis results, the main beam exhibited localized stress concentration and uneven material utilization. The following optimization measures were implemented to improve the design:

Topology Optimization

  1. Web Member Layout Optimization:
    • Web member spacing in the mid-span area was reduced from 2.1m to 1.8m.
    • K-type trusses were used near the outriggers to replace the original cross-web members.
    • Stress concentration factors were reduced by 27%.
  2. Chord Cross-Section Optimization:
    • The upper chord remained unchanged at 400×400×12 mm.
    • The lower chord was thickened to 400×400×14 mm in the middle 20m.
    • The ends were restored to 400×400×10 mm.
    • Maximum stress Force reduced to 202 MPa

Parameter optimization

  1. Height adjustment:
    • Main beam height increased from 3.8m to 4.2m
    • Deflection reduced by 18.5%
    • Weight increased by approximately 5%
  2. Material optimization:
    • Q390B steel replaced Q345B in high-stress areas
    • Q235B steel used for non-critical web members
    • Overall cost reduced by 3.2%

Joint optimization

  1. Gust plate design:
    • Increased gusset plate radius in stress concentration areas
    • Used arc transitions instead of right-angle connections
    • Local peak stress reduced by 35%
  2. Connection improvements:
    • Used a hybrid of high-strength bolts and welding at key nodes
    • Improved joint fatigue life

Table: Comparison of main beam performance before and after optimization

Performance indicatorsInitial DesignOptimized designImprovement
Maximum equivalent stress(MPa)245202↓17.6%
Mid-span deflection(mm)52.342.6↓18.5%
Structural deadweight(t)86.784.3↓2.8%
First-order buckling load factor4.275.12↑19.9%
Manufacturing cost (10,000 yuan)124.5120.5↓3.2%

The optimized main beam structure has significantly improved in strength, stiffness and stability, while achieving the goals of lightweight and economy.

Conclusions and Recommendations

Research Conclusions

  1. Finite element analysis verified the safety and reliability of the main girder design for a 42m span double-girder truss gantry crane. Stress and deformation under all operating conditions met regulatory requirements.
  2. The truss main girder demonstrates significant advantages in long-span applications. Compared to a box girder of the same span, it reduces deadweight by approximately 25% and wind load effects by over 30%.
  3. The structural weaknesses primarily occur at the mid-span lower chord node and outrigger connection area. Targeted optimization can effectively improve stress distribution.
  4. The parametric finite element model provides a convenient tool for the rapid design and analysis of similar structures, significantly shortening the design cycle.

Design Recommendations

  1. Manufacturing Process Control:
    • Strictly control chord straightness deviation (≤L/2000)
    • Ensure welding quality and dimensional accuracy at the node locations
  2. Material Selection:
    • Use high-strength steel (Q390 and above) in high-stress areas
    • Q235B can be used for non-critical components to reduce costs
  3. Corrosion Protection Design:
    • Use a thermal zinc spraying + heavy-duty anti-corrosion coating system
    • The interior of the closed box section should be treated with anti-rust treatment
  4. Monitoring and Maintenance:
    • Establish long-term strain monitoring points at the mid-span and support legs
    • Regularly inspect key nodes for cracks

Future Research Directions

  1. Fatigue Performance Analysis:
    • Fatigue life prediction based on professional software such as FEMFAT
    • Study the fatigue characteristics of different node types
  2. Wind Vibration Analysis:
    • Consider the dynamic response under pulsating wind loads
    • Evaluate aerodynamic stability
  3. Application of Intelligent Optimization Algorithms:
    • Use genetic algorithms, particle swarm algorithms, etc.

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