Structural systems are susceptible to damage throughout their operational lifetime. Thus, structural health monitoring technologies and, in particular, Robots embedded with sensors that could monitor structural performance and detect damage are needed. While there exist a variety of different sensing platforms, this continues to be an active area of research due to the many challenges associated with identifying and quantifying structural damage, which is inherently very complex.

Infrastructure systems are subject to aging with time, e.g. bridges. Such systems deteriorate performance wise and physically get damaged; the two translate into reduced service life and increased safety concerns of the infrastructure. This has been noted with due concern over the years and various monitoring and damage detection measures have been put in place. Narrowing down to bridges, bridge health monitoring has become a hotbed of inquiry owing to the high cost of construction, thus proper maintenance being the best alternative to lengthen the service life of such structures. As such, vibration-based health monitoring techniques have achieved promising progress thanks to the breakthrough in data analysis techniques and rapid development of wireless sensor networks.

Population growth in the cities in developing countries necessitates the expansion of reclaimed/non-potable water production and utilization. Reclaimed/non-potable water from wastewater has drawn much attention among a wide variety of alternative water resources. It is considered a stable water resource for agricultural, industrial, recreational, and public water. One crucial sector is the construction industry in which expansion in building infrastructures of developing countries like Egypt occurs. However, corrosion of iron and steel components in supply systems can cause water quality deterioration and lead to extra costs for maintenance and deploying the piping streams and network. This study aimed to compare and evaluate the effects of tap water and reclaimed/non-potable water on the corrosion of the inner surface of pipes.

Crack detection is the process of detecting the crack in the structures using any of the processing techniques. The crack detection can be made in two ways. They are Destructive Testing and Non-Destructive testing. In this project a fully autonomous robot will be used for crack detection using a Schmidt hammer will be an automatic crack detection is very effective for Non-destructive testing.

The integrated approach is based on the application of innovations in measurement techniques and technologies using laser and accelerometer systems in the monitoring of important track parameters focusing on remote measurements of: displacements, moments, torsion and acceleration of the track system components. The novel monitoring system design is intended to be an autonomously powered system using renewable energy, suitable for use in a wide range of geographical locations, including those without connections to mains electricity and wired communications networks. This will be achieved by using state-of-the-art power supply systems based on solar capture technologies, to ensure a fully optimised and integrated solution for the designed monitoring tool. For this purpose, a collaboration has been established and agreed with a local SME, SOLAR CAPTURE Technologies, with relevant expertise in the field of solar technologies to deliver a properly. Designed and engineered solar powered system that can offer a viable alternative to mains electricity for track system monitoring devices