Mahadevan et al., 2014 - Google Patents
Challenges in concrete structures health monitoringMahadevan et al., 2014
View PDF- Document ID
- 15909654284777120992
- Author
- Mahadevan S
- Adams D
- Kosson D
- Publication year
- Publication venue
- Annual Conference of the PHM Society
External Links
Snippet
Structural health monitoring needs to produce actionable information regarding structural integrity that supports operational and maintenance decision making that is individualized for a given structure and its performance objectives. An effective Prognostics and Health …
- 239000004567 concrete 0 title abstract description 52
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
- G06F17/5018—Computer-aided design using simulation using finite difference methods or finite element methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Salehi et al. | Emerging artificial intelligence methods in structural engineering | |
Zhang et al. | Probabilistic framework with bayesian optimization for predicting typhoon-induced dynamic responses of a long-span bridge | |
Kong et al. | The state-of-the-art on framework of vibration-based structural damage identification for decision making | |
Lynch et al. | Structural health monitoring: technological advances to practical implementations [scanning the issue] | |
Sharafati et al. | Application of bagging ensemble model for predicting compressive strength of hollow concrete masonry prism | |
Santos et al. | Early damage detection based on pattern recognition and data fusion | |
Pasquier et al. | Iterative structural identification framework for evaluation of existing structures | |
Keshmiry et al. | Effects of environmental and operational conditions on structural health monitoring and non-destructive testing: A systematic review | |
Zhu et al. | A rapid structural damage detection method using integrated ANFIS and interval modeling technique | |
Katam et al. | A review on structural health monitoring: past to present | |
Mantawy et al. | Convolutional neural network based structural health monitoring for rocking bridge system by encoding time‐series into images | |
Rizvi et al. | From data to insight, enhancing structural health monitoring using physics-informed machine learning and advanced data collection methods | |
Mahadevan et al. | Challenges in concrete structures health monitoring | |
Su et al. | Prototype monitoring data-based analysis of time-varying material parameters of dams and their foundation with structural reinforcement | |
Zhou et al. | Operational modal analysis with compressed measurements based on prior information | |
Ahmadian et al. | Comparative study of a newly proposed machine learning classification to detect damage occurrence in structures | |
Zhang et al. | Machine learning models to predict the residual tensile strength of glass fiber reinforced polymer bars in strong alkaline environments: A comparative study | |
Bandara | Damage identification and condition assessment of building structures using frequency response functions and neural networks | |
Zar et al. | Towards vibration-based damage detection of civil engineering structures: overview, challenges, and future prospects | |
Ramani et al. | Impacts of climate change on long-term reliability of reinforced concrete structures due to chloride ingress | |
Rabi et al. | Effectiveness of Vibration-Based Techniques for Damage Localization and Lifetime Prediction in Structural Health Monitoring of Bridges: A Comprehensive Review | |
Mahadevan et al. | Interim Report on Concrete Degradation Mechanisms and Online Monitoring Techniques | |
Min et al. | Merged LSTM-based pattern recognition of structural behavior of cable-supported bridges | |
Chandrasekaran et al. | Damage detection in reinforced concrete berthing jetty using a plasticity model approach | |
Kiv et al. | Irreversibility of plastic deformation processes in metals |