Use Cases Structural Health Monitoring

Structural Health Monitoring

Structural health monitoring solutions ensure the safety and soundness of engineering structures such as a buildings and bridges. Structural health monitoring uses an assortment of sensors to collect and analyze data pertaining to any damage or deterioration that a structure may receive over the course of its life. The data that structural health monitoring systems acquire can help its users avoid structural failures and changes to the material and/or geometric properties of a structural system, including changes to the boundary conditions and system connectivity, which adversely affect the system's performance. The structural health monitoring process involves the observation of a system over time using periodically sampled response measurements from an array of sensors (often inertial accelerometers), the extraction of damage-sensitive features from these measurements, and the statistical analysis of these features to determine the current state of system health. For long term solutions, the output of this process is periodically updated information regarding the ability of the structure to perform its intended function in light of the inevitable aging and degradation resulting from operational environments. After extreme events, such as earthquakes or blast loading, health monitoring is used for rapid condition screening and aims to provide, in near real time, reliable information regarding the integrity of the structure.
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Cisco openBerlin IoE Center
Cisco openBerlin IoE Center
Cisco IoE innovation Centers around the world enable and showcase local innovation and development. relayr had the unique opportunity to be involved in building the connected openBerlin infrastructure from the very beginning. In a building that was conceived from the outset to be completely monitored and controlled by smart systems, relayr set up the middle layer of connectivity – joining all of the separate legacy systems to allow meaningful cross-platform communication.
Burlington Bridge
Burlington Bridge
More than 300 trains crossed the Burlington Bridge every month and tons of travel on barges below. It was therefore decided that shutting down rail or river traffic during the construction of a new bridge would only be allowed during a single 30-hour period. With such heavy usage demands, constant river level changes and the inherent complications of working with a 115 year old bridge, monitoring was key to this project. Knowing how and when the bridge moves, vibrates, tilts and bends proved critical for establishing a safe working environment as well as maintaining the bridge’s operational status.
WIN-911 BABYSITS WASTEWATER TREATMENT PLANT
WIN-911 BABYSITS WASTEWATER TREATMENT PLANT
The City had been staffing their WWTP system 24/7, but could see that with the SCADA upgrades that the night operator was unproductive and bored. The overnight position was difficult to keep staffed and if a dramatic event occurred at either facility, the night shift operator would likely be unable to handle it himself.

The overall structural health monitoring market was valued at USD 1.24 billion in 2017 and is estimated to reach USD 3.38 billion by 2023, at a CAGR of 17.93% between 2018 and 2023.

Source: Markets and Markets

The global structural health monitoring market size is estimated to reach USD 4.34 billion by 2025.

Source: Grand View Research

Which technologies are used in a system and what are the critical technology?
Your Answer

What is MEMS?

MEMS (Micro Electro Mechanical Systems) capacitive accelerometers are one of the technologies, which addresses the needs of SHM. Because of the flat amplitude and phase response over a large bandwidth, ruggedness and attractive SWAP characteristics MEMS technology enable the increasing use of vibration sensing for SHM.

MEMS accelerometers use capacitive coupling to detect the motion of a suspended proof mass in response to external acceleration. A fabrication process that we utilize “bakes” the MEMS at the very high temperatures. This fabrication design guarantees very good performance repeatability in both – the temperature and the time. Obtained capacitive MEMS devices will measure from very low frequencies (<<1Hz) to high frequencies.

How many types of sensors have been developed for SHM?

- Contact-based sensors (such as microelectromechanical sensors)

- Noncontact sensors (such as air-coupled sensors, vision sensors using cameras, wireless rechargeable sensor networks, and radar sensor networks)

 

What business, integration, or regulatory challenges could impact deployment?
Your Answer

What are the key challenges for structural health monitoring systems?

- It is not a commodity purchase: due to the engineering costs and lack of resource availability associated with incorporating a SHM system into a structure, many organizations opt to forego deploying one. 

- Many structural health monitoring systems rely on point sensors, or sensors that obtain data about only one point, to monitor asset: using point sensors in SHM systems is limiting since these systems must use interpolation to simulation additional measurement locations.

 

- Data normalization: this is the process of separating changes in sensor output caused by damage and changes caused by varying environmental conditions. Since most SHM systems do not continuously monitor, it is difficult to normalize the data (especially when point sensors are used to collect the information).

What is the most important SHM Performance Requirement?

Resolution is the most important performance requirement for the sensors used for SHM application. Damage in a structure appears as a tiny variation at first, but it is amplified with the aging of the structure. A sensor with an excellent resolution will reveal a failure at the very early stages. Thus accomplishing high-performance monitoring of critical structures allows a significant optimization in its maintenance planning and, consequently, reduces the operating costs in a drastic way.

What are the most critical missions in SHM?

- Discovering how to determine damage-sensitive features

- How to extract information about them from the data measured by sensors, in order to detect damage or changes to systems

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