BRAINBOX PRIME
PREDICTS STRUCTURAL HEALTH
STRUCTURAL INTEGRITY AWARENESS
for metallic and composite systems
model validation and uncertainty quantification with reliablity-based decision making algorithms to transition structural damage prognosis to reality
FATIGUE LIFE PREDICTION
Real-Time monitoring of structure and its member elements health conditions and fatigue life assessment by measuring global and local stress, loads, accelerations, vibrations etc., and combining with machine learning and physics models.
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Identify and locate fatigue hotspots
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Predicting damage growth in various operational conditions
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Estimating future performance and Residual Lifespan
Specific Use Cases
MARINE
OIL&GAS
ENERGY
MANUFACTURING
GOVERNMENT
STRUCTURAL DAMAGE PROGNOSIS
Brainbox Prime estimates the structures remaining useful life. This novel estimation process is based on the output of Brainbox physics based predictive models which develops estimates by coupling information's from usage
Prime processes enormous amount of digitized data and fuses it with a specific model driven technique to forecast structural performance by measuring the current state of the system, estimating the future loading environments of system, and predicting through simulation and past experience the remaining useful life of the system.
Specific Use Cases
MARINE
OIL&GAS
ENERGY
MANUFACTURING
GOVERNMENT
ONBOARD FAILURE & FRACTURE ANALYSIS
Brainbox uses the cyclic slip approach to detect microcrack initiations. Decohesion and cyclic strain hardening technique is used to consider damages to predict intensity and time-to-fail.
To correctly predict the evolution of these responses, it is necessary to have accurate assessments for the local deformation and stress states in the lamina. Prime uses history-dependent phenomena at the smallest length scale to drive the initiation and evolution of the nonlinear behaviour at the larger length scales. Prime runs inbuilt physics based models to detect damage modes at the lamina level for identifying cracking along the direction and interprets crack growth and propagations accurately.
Specific Use Cases
MARINE
OIL&GAS
ENERGY
MANUFACTURING
GOVERNMENT
PREDICTION OF CORROSION & THICKNESS DEGRADATION
Brainbox uses mechanistic model to measure and understand corrosion or erosion kinetics. The system meta models are capable of predicting the uniform corrosion rate of metal in various different environment
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Uses numerically simulated physics models to determine corrosion rates
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Continuous monitoring of H2S corossion rate under pure mass transfer control and the mass transfer boundary layer
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The primary feature is providing "Corrosion Details" of all corrosive agents in terms of their contributions
Specific Use Cases
MARINE
OIL&GAS
ENERGY
MANUFACTURING
GOVERNMENT
BRAINBOX PRIME BENEFITS
Brainbox ensures Business Continuity and Sustainability against structural disruptions and stagnations
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Reduce unplanned downtime
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Measure subjected loads and provide actual structural response in real-time
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On-field detections of structural damage and deterioration
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Enhanced qualitative readiness of structures "on-the-fly"
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Structural performance recommendations
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Prioritize maintenance based on complexity and need
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Optimize operational conditions
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Improve future designs
BRAINBOX PRIME FEATURES
By combining the two worlds of physics and machine learning, Brainbox is designed to provide critical information on-the-fly and helps you to understand and act as and when needed
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Governing physics and influencing physics evaluations
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Estimating plate thickness and corossion rate
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Detection of paint degradations
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Determine residual-life under various operating conditions
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Adaptive AI Engine
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Predictive alerts with logical reasoning
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Failure root-cause analysis
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Reduced failure and increased productivity
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Works in most hazardous conditions without compromising safety
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Minimize human involvement, and consequently reduce labor, and human errors, thus improving safety, reliability and profitability
Why Brainbox AI?
A flexible and scalable AI platform integrating physics and machine learning for one-to-many analytics
EASY-TO-USE ARTIFICIAL INTELLIGENCE PLATFORM
Intuitive, cost effective and scalable with integrated governing and influencing physics models for scientific results which is believable and actionable at once
COMPREHENSIVE PRESCRIPTIVE ANALYTICS CAPABILITY
Use of extensive inbuilt library of physics based meta models, neural fuzzy inference engine in a single platform
