TY - JOUR
T1 - Categories of SHM Deployments
T2 - Technologies and Capabilities
AU - Webb, G. T.
AU - Vardanega, Paul J
AU - Middleton, Campbell R
PY - 2015/11
Y1 - 2015/11
N2 - The findings of an extensive literature survey focussing on bridge structural health monitoring deployments are presented. Conventional, maturing and emerging technologies are reviewed as well as deployment considerations for new Structural Health Monitoring (SHM) endeavours. The lack of published calibration studies (and quantification of uncertainty studies) for new sensors is highlighted as a major concern and area for future research. There are currently very few examples of SHM systems which have clearly provided significant value to the owners of monitored structures. The results of the literature survey are used to propose a categorisation system to better assess the potential outcomes of bridge SHM deployments. It is shown that SHM studies can be categorized as one of (or a combination of) the following: (1) Anomaly Detection; (2) Sensor Deployment Studies; (3) Model Validation, (4) Threshold Check and (5) Damage Detection. The new framework aids engineers specifying monitoring systems to determine what should be measured and why, hence allowing them to better evaluate what value may be delivered to the relevant stakeholders for the monitoring investments.
AB - The findings of an extensive literature survey focussing on bridge structural health monitoring deployments are presented. Conventional, maturing and emerging technologies are reviewed as well as deployment considerations for new Structural Health Monitoring (SHM) endeavours. The lack of published calibration studies (and quantification of uncertainty studies) for new sensors is highlighted as a major concern and area for future research. There are currently very few examples of SHM systems which have clearly provided significant value to the owners of monitored structures. The results of the literature survey are used to propose a categorisation system to better assess the potential outcomes of bridge SHM deployments. It is shown that SHM studies can be categorized as one of (or a combination of) the following: (1) Anomaly Detection; (2) Sensor Deployment Studies; (3) Model Validation, (4) Threshold Check and (5) Damage Detection. The new framework aids engineers specifying monitoring systems to determine what should be measured and why, hence allowing them to better evaluate what value may be delivered to the relevant stakeholders for the monitoring investments.
KW - Data interpretation
KW - Modeling
KW - State-of-the-art review
KW - Structural health monitoring (SHM)
KW - Technology
UR - http://www.scopus.com/inward/record.url?scp=84944412553&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)BE.1943-5592.0000735
DO - 10.1061/(ASCE)BE.1943-5592.0000735
M3 - Review article (Academic Journal)
AN - SCOPUS:84944412553
VL - 20
JO - Journal of Bridge Engineering
JF - Journal of Bridge Engineering
SN - 1084-0702
IS - 11
M1 - 04014118
ER -