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The value of structural health information is the expected utility gain of a built environment system by information provided by structural health monitoring (SHM).The quantification of the value of structural health information is based on decision analysis adapted to built environment engineering.
Bridges in Hong Kong. The Wind and Structural Health Monitoring System is a sophisticated bridge monitoring system, costing US$1.3 million, used by the Hong Kong Highways Department to ensure road user comfort and safety of the Tsing Ma, Ting Kau, Kap Shui Mun and Stonecutters bridges. [10]
The Illinois Structural Health Monitoring Project's underlying goal is to minimize the cost of infrastructure inspections though using inexpensive and reliable wireless sensor arrays, significantly reducing the need for physical human inspection. Its main focus has been to monitor bridges using sensor networks. While other wired bridge ...
HRHIS is a human resource for health information system for management of human resources for health developed by University of Dar es Salaam college of information and communication technology, Department of Computer Science and Engineering, for Ministry of Health and Social Welfare (Tanzania) and funded by the Japan International Cooperation ...
BIM & 3D modeling software applied for civil & structural engineering RFEM: 3D structural analysis & design software SDC Verifier: Structural verification and code-checking according to different industrial standards SimScale: Multiphysics simulation (CFD, FEA, Thermal Analysis) applied for structural and civil engineering SketchUp
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Explainable AI (XAI), or Interpretable AI, or Explainable Machine Learning (XML), is artificial intelligence (AI) in which humans can understand the decisions or predictions made by the AI. [129] It contrasts with the "black box" concept in machine learning where even its designers cannot explain why an AI arrived at a specific decision. [ 130 ]
Structural equation modeling (SEM) is a diverse set of methods used by scientists for both observational and experimental research. SEM is used mostly in the social and behavioral science fields, but it is also used in epidemiology, [ 2 ] business, [ 3 ] and other fields.