SOFTWARE
BondLife Core
Main fatigue solver for adhesive joints with deterministic life estimation
Explore Core WorkflowBONDLIFE ENGINEERING SOFTWARE
CALIBRATED FOR ADHESIVE JOINT DURABILITY
Comprehensive suite for adhesive-joint fatigue analysis
From FEA stress ingestion to calibrated life prediction and reporting, BondLife gives engineering teams a single workflow to move from data to durability decisions faster
OUTCOME
Reduce iteration loops and deliver clear durability evidence earlier
SOFTWARE
BondLife Validation
Fit calibration datasets and compare predictions against experimental outputs
Review ValidationSOFTWARE
BondLife Post
Generate engineering visuals, CSV exports, and report-ready PDF summaries
See ReportingEXPLORE THE FULL SUITE
Align geometry, stress history, and model setup in one controlled workspace
BondLife combines setup, simulation, and post-processing into a system engineered for repeatability across design iterations
Inputs
RPT / CSV / TXT
Models
Antelo, Cavdar, Sousa
Outputs
CSV, PDF, charts
SUITE MODE
Geometry + stress ingestion
ENGINEERING VIEW
Thickness and bonded-area controls
ENGINEERING VISUALS
Explore workflow visuals from real BondLife project material
These assets come directly from the BondLife engineering context to keep product communication grounded in real analysis workflows
Workflow Overview
A complete launch-to-report path showing how BondLife structures the engineering process
PROVEN DELIVERY FLOW
Move from problem definition to report-ready output
STEP 1
Problem Definition
STEP 2
Finite Element Analysis Import
STEP 3
Run Analysis
STEP 4
Results and Post Processing
LATEST BONDLIFE UPDATES
FROM THE BETA FEEDBACK ROUNDRefined from real desktop usage
The latest BondLife release folds in fixes and workflow improvements gathered directly from the company beta review
CHARTS
Log-scale, adjustable S-N curve
The S-N curve x-axis now uses a log scale so Nf values stay readable at high cycle counts, plus a new auto-scale toggle for pinning a manual min/max Nf range
RELIABILITY
Stable maximized window layout
Fixed a bug where bottom action buttons could disappear after maximizing the window
WORKFLOW
Detachable Help panel
Help can now open in its own window, so it no longer blocks navigation to other tabs while open
DOCS
Help manual synced with the app
Validation, Charts, and Parameter Analysis sections in the Results and Post-Processing tab now match the in-app Help manual one to one
FIX
Working FEA instructions downloads
Fixed broken download links for Steps 1 and 2 in the Finite Element Analysis instructions
ONBOARDING
Redesigned Get Started home page
The Welcome page now leads with New Project and Open Project actions, plus Tutorials, Example Workflow, and FAQ cards that jump straight into the relevant Help topic
CAPABILITY
FEA Data Ingestion
Process stress data from Abaqus reports and table-based exports with part and increment selection
CAPABILITY
Multi-Model Fatigue Engine
Apply Antelo, Cavdar, and Sousa models with editable parameter tables and load scaling
CAPABILITY
Validation and Calibration
Use calibration and prediction CSV workflows to fit alpha, beta, and gamma metrics
CAPABILITY
3D and Chart Post Processing
Inspect critical areas, node-level outputs, and life-distribution charts for engineering decisions
CAPABILITY
Project Persistence
Save and load full sessions in .bondlife project files for repeatable analysis cycles
CAPABILITY
Export and Reporting
Share outcomes through CSV exports, printable PDF reports, and library exports for team workflows
TRUSTED BY ENGINEERING COLLABORATORS
Built for engineering teams shipping durability-critical products
BondLife supports researchers, durability analysts, and product-development teams that need explainable fatigue-life decisions
Consortium collaboration also includes Aston Martin Lagonda Ltd, John Deere, Sunstar, and DuPont
RESEARCH NETWORK
INDUSTRY CONSORTIUM
Aston Martin Lagonda Ltd
John Deere
Sunstar
DuPont
CONSULTATION REQUEST
Introduce BondLife to your team
Share your fatigue-analysis scenario and we will prepare a practical walkthrough around your use case
Typical outcomes: better traceability, faster iteration cycles, and clearer decision support for durability programs