SHM for informed management of civil structures and infrastructure

Limongelli, Maria Pina

doi:10.1007/s13349-020-00439-8

Cited by 14 publications

(8 citation statements)

References 10 publications

(10 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Numerous reviews of bridge monitoring techniques area available in the literature (e.g., Andersen & Vesterinen 2006, Rizzo & Enshaeian 2021, Webb 2014, Webb et al 2015, Li & Ou 2016, Limongelli 2020. Recent technical advancements enable the use of more sophisticated technologies for assessing the performance of existing and newly constructed bridges.…”

Section: Structural Health Monitoringmentioning

confidence: 99%

SHM deployments for two bridge structures: Assessing potential value

Nepomuceno¹,

Vardanega²,

Tryfonas³

et al. 2022

Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability

View full text Add to dashboard Cite

An approach for assessing the value of a structural health monitoring (SHM) system for a bridge prior to deployment has been developed. The methodology systematically obtains the views of three key stakeholders in bridge SHM management: the asset owner, the structural engineer and the SHM engineer. The output of the methodology is a numerical value that indicates the approximate likelihood of a SHM system generating value for an asset owner. This paper applies this framework to two structures which span the River Thames in Central London, UK. The first structure is a 434 m long concrete, two-way road and footbridge, with a superstructure primarily comprising a concrete deck and two reinforced concrete box girders. In 2017, the bridge was the subject of a year-long monitoring programme which collected thermal and movement data to help refine structural models and inform maintenance repairs. The second structure consists of a pair of cable-stayed footbridges which are built on either side of an existing rail bridge. Each bridge deck is 300 m in length and is suspended from steel rods known as deck stays, made up of over 4 km of cable. Initially, there were no prior notions about what system should be implemented, but after discussions with the asset owner, a system to monitor the tension in the cables is considered. From the resulting discussions, the retrospective application of the framework resulted in a value-rating (VR) of 3.8, whilst the second structure received a rating of 3.4. A detailed discussion on value monitoring from industry experts is presented.

show abstract

Section: Structural Health Monitoringmentioning

confidence: 99%

SHM deployments for two bridge structures: Assessing potential value

Nepomuceno¹,

Vardanega²,

Tryfonas³

et al. 2022

Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability

View full text Add to dashboard Cite

show abstract

“…The Seismic and Structural Health Monitoring concept has emerged and asserted itself on a global level in the past years, not only due to the needs of owners, managers and users, but also to the inherent advantages of SSHM and the useful data that can be provided to engineers and researchers, for dynamic behavior monitoring and structural safety control (Limongelli, 2020). Thus, this type of monitoring systems have been installed and used in large structures all over the world, such as tall buildings, longspan bridges, large dams and other important structures (Li et al, 2016;Limongelli & Çelebi, 2019).…”

Section: The Role Of Sshm Systems In the Safety Control Of Large Concrete Damsmentioning

confidence: 99%

Seismic and Structural Health Monitoring Systems For Large Dams: Theoretical, Computational and Practical Innovations

Oliveira¹,

Alegre²,

Carvalho³

et al. 2021

Preprint

View full text Add to dashboard Cite

Over the past decade, monitoring systems for Seismic and Structural Health Monitoring (SSHM) have been assuming a greater role in the safety control of large concrete dams. In this article, the dynamic behavior of two large arch dams equipped with SSHM systems is analyzed, in order to present some of the main theoretical, computational and practical innovations developed recently for the improvement of large dams’ continuous dynamic monitoring using SSHM systems. The case studies are two large arch dams that have been under continuous dynamic monitoring over the last ten years: Cabril dam (132 m high), the highest dam in Portugal, and Cahora Bassa dam (170 m high), located in Mozambique, one of the highest dams in Africa. The Seismic and Structural Health Monitoring (SSHM) systems installed in both dams have similar schemes and were designed to continuously record acceleration time series in several locations at the upper part of the dam body and near the dam-foundation interface, using uniaxial and triaxial accelerometers. Specific software was developed for monitoring data analysis, including automatic modal identification, to obtain natural frequencies and mode shapes, for automatic detection of vibrations induced by seismic events, to be distinguished by those caused by other operational sources, and for comparison between results retrieved from measured vibrations and numerical results obtained from computational 3DFE models. The numerical analyses are carried out using a 3DFE program for linear and non-linear dynamic analysis of concrete dams, based on a solid-fluid coupled formulation to simulate the dam-reservoir-foundation system, considering the dam-water dynamic interaction and the propagation of pressure waves throughout the reservoir. The most significant experimental results from continuous dynamic monitoring are presented for Cabril dam and Cahora Bassa dam and compared with numerical results, with emphasis on the evolution of natural frequencies over time, on vibration mode shapes for various water levels, and, finally, on the measured accelerations during seismic events. Furthermore, the main results of non-linear seismic response simulations, considering joint movements and concrete damage, are also presented for both dams in order to assess their seismic performance, using an intensifying seismic accelerogram prepared for Endurance Time Analysis.

show abstract

“…The SSHM concept has emerged and asserted itself on a global level in the past years, not only due to the needs of owners, managers, and users, but also to the inherent advantages of SSHM and the useful data that can be provided to engineers and researchers, for dynamic behaviour monitoring and structural safety control (Limongelli 2020). Thus, this type of monitoring systems have been installed and used in large structures all over the world, such as tall buildings, long-span bridges, large dams, and other important structures (Li et al 2016;Limongelli & Çelebi 2019).…”

Section: Introductionmentioning

confidence: 99%

Seismic and structural health monitoring systems for large dams: theoretical, computational and practical innovations

Oliveira

Alegre

Carvalho³

et al. 2022

Bull Earthquake Eng

View full text Add to dashboard Cite

This paper is focused on the study of the dynamic behaviour of two large arch dams, and it presents some innovations for the improvement of Seismic and Structural Health Monitoring (SSHM) systems for dams. The work describes a methodology based on the integrated use of software for automatic monitoring data analysis and of computational 3D finite element (3DFE) models for dam dynamic behaviour simulation. The monitoring data analysis software was developed for automatic modal identification, in order to obtain natural frequencies and mode shapes, for automatic detection of vibrations induced by seismic events, to be distinguished from those caused by other operational sources, and for comparison between results retrieved from measured vibrations and numerical results from 3DFE modelling. The numerical simulations are carried out using a 3DFE program developed for dynamic analysis of dam-reservoir-foundation systems, based on a solid-fluid coupled formulation and considering the dam-water dynamic interaction, including calculation modules for complex modal analysis and for linear and non-linear seismic analysis. The case studies are two large arch dams that have been under continuous dynamic monitoring over the last ten years: Cabril dam (132 m high), the highest dam in Portugal, and Cahora Bassa dam (170 m high), in Mozambique, one of the highest dams in Africa. The SSHM systems installed in both dams have similar schemes and were designed to continuously record accelerations in several locations at the upper part of the dam body and near the dam-foundation interface, using uniaxial and triaxial accelerometers. The most significant experimental results from continuous dynamic monitoring are presented and compared with numerical results for both dams, with emphasis on the evolution of natural frequencies over time, including the vibration mode shapes for various water levels, and on the measured accelerations during low-intensity seismic events. Furthermore, the main results of non-linear seismic response simulations are provided, considering the effects due to joint movements and tensile and compressive concrete damage, aiming to assess the seismic performance of both dams based on the Endurance Time Analysis method.

show abstract

SHM for informed management of civil structures and infrastructure

Cited by 14 publications

References 10 publications

SHM deployments for two bridge structures: Assessing potential value

SHM deployments for two bridge structures: Assessing potential value

Seismic and Structural Health Monitoring Systems For Large Dams: Theoretical, Computational and Practical Innovations

Seismic and structural health monitoring systems for large dams: theoretical, computational and practical innovations

Contact Info

Product

Resources

About