An Ai For Structural Integrity Monitoring
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AN AI FOR STRUCTURAL INTEGRITY MONITORING
Author: Kossi Ntiafalali Aziagba
language: en
Publisher: Kossi Ntiafalali Aziagba
Release Date: 2024-07-14
This AI system can be applied in various real-world scenarios, such as: - Bridge Monitoring: Continuous monitoring of bridges to detect early signs of wear and prevent collapses. - Building Inspections: Routine assessments of high-rise buildings to identify structural weaknesses. In the future, this AI could be explored and used by the entire population to identify construction anomalies and structural pathologies. Suppose you are in your room and suddenly notice a large crack in the main pillar of your roof. When this AI is ready, you will simply need to take 2 or 3 photos of the concerned area from different angles. The device will immediately analyze the damage, compare it with its data, describe the situation, and provide you with recommendations. The system could also automatically alert engineers and the government based on the severity of the case. Additionally, the system will have an integrated thermal camera to analyze thermal factors, determining the depth of the damage and the affected area.
Structural Health Monitoring Based on Data Science Techniques
The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of “big data” availability and advanced data science. Such data availability coupled with a wide variety of machine learning and data analytics techniques have led to rapid advancement of how SHM is executed, enabling increased transformation from research to practice. This book intends to present a representative collection of such data science advancements used for SHM applications, providing an important contribution for civil engineers, researchers, and practitioners around the world.
Structural Integrity Monitoring
Author: R.A. Collacott
language: en
Publisher: Springer Science & Business Media
Release Date: 1985-11-30
This book should be of interest to students and practitioners of materials science, production engineering and engineering design.