Full-Scale Laboratory Tests Using a Shape-Acceleration Array System

Abdoun, Tarek; Bennett, Victoria; Dobry, Ricardo; Thevanayagam, S.; Danisch, L.

doi:10.1061/40975(318)214

Cited by 12 publications

(8 citation statements)

References 4 publications

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“…The following section presents data that was collected during a full-scale lateral spreading experiment conducted in a laminar container at the University of Buffalo. The laminar container is 5 m (16.4 ft) long, 2.75 m (9.0 ft) wide, and 6 m (19.7 ft) high and is capable of holding 150 tons of sand; see Figure 2 [10]. The results from two SAAs installed in this experiment provide an example of the range and type of data that can be collected by this system.…”

Section: Sensor Descriptionmentioning

confidence: 98%

Real-Time Monitoring System and Advanced Characterization Technique for Civil Infrastructure Health Monitoring

Bennett

Abdoun²,

Zeghal

et al. 2011

Advances in Civil Engineering

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Real-time monitoring of civil infrastructure provides valuable information to assess the health and condition of the associated systems. This paper presents the recently developed shape acceleration array (SAA) and local system identification (SI) technique, which constitute a major step toward long-term effective health monitoring and analysis of soil and soil-structure systems. The SAA is based on triaxial micro-electro-mechanical system (MEMS) sensors to measure in situ deformation (angles relative to gravity) and dynamic accelerations up to a depth of one hundred meters. This paper provides an assessment of this array's performance for geotechnical instrumentation applications by reviewing the recorded field data from a bridge replacement site and a full-scale levee test facility. The SI technique capitalizes on the abundance of static and dynamic measurements from the SAA. The geotechnical properties and constitutive response of soil contained within a locally instrumented zone are analyzed and identified independently of adjacent soil strata.

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Section: Sensor Descriptionmentioning

confidence: 98%

Real-Time Monitoring System and Advanced Characterization Technique for Civil Infrastructure Health Monitoring

Bennett

Abdoun²,

Zeghal

et al. 2011

Advances in Civil Engineering

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“…8). SAA sensors record triaxial accelerations, displacements, and rotations at each sensor location (Abdoun and Danisch 2005;Abdoun et al 2008;Bennett et al 2009). The instrumentation sensors that are installed inside the soil includes SAA sensors, submersible accelerometers, and pore pressure transducers.…”

Section: Fig 5-safety Cables: (A) Schematic Diagram Side View; (B) mentioning

confidence: 99%

Laminar Box System for 1-g Physical Modeling of Liquefaction and Lateral Spreading

Suits¹,

Sheahan²,

Thevanayagam

et al. 2009

Geotechnical Testing Journal

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Details of a large scale modular 1-g laminar box system capable of simulating seismic induced liquefaction and lateral spreading response of level or gently sloping loose deposits of up to 6 m depth are presented. The internal dimensions of the largest module are 5 m in length and 2.75 m in width. The system includes a two dimensional laminar box made of 24 laminates stacked on top of each other supported by ball bearings, a base shaker resting on a strong floor, two computer controlled high speed actuators mounted on a strong wall, a dense array advanced instrumentation, and a novel system for laboratory hydraulic placement of loose sand deposit, which mimics underwater deposition in a narrow density range. The stacks of laminates slide on each other using a low-friction high-load capacity ball bearing system placed between each laminate. It could also be reconfigured into two smaller modules that are 2.5 m wide, 2.75 m long, and up to 3 m high. The maximum shear strain achievable in this system is 15 %. A limited set of instrumentation data is presented to highlight the capabilities of this equipment system. The reliability of the dense array sensor data is illustrated using cross comparison of accelerations and displacements measured by different types of sensors.

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“…Peck [14] states that these differences come from the fact that science relies on laboratory soil sample tests, while practice is rooted in field performance data and associated empirical studies. Consequently, most practitioners remain skeptical about numerical models developed by geotechnical engineering scientists, mainly because very few models have been properly calibrated with field performance [1][2][3]5].…”

Section: Introductionmentioning

confidence: 99%

Recent advances in physical modeling and remote sensing of civil infrastructure systems

Abdoun

El-Sekelly

2017

Innov. Infrastruct. Solut.

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Natural and man-made hazards are often associated with costly damages to civil infrastructure systems, such as buildings, bridges, Levees, dams, pipelines and offshore structures of all types. The lack of high-quality field and lab data of soil system response have eluded researchers and practitioners until recently. Recent advancements in physical modeling facilities (centrifuge and full scale) and advancement in remote sensing technology are leading to a new reality for the health assessment of soil-structure systems. This new reality is leading to a paradigm shift in the evaluation and modeling of soilstructure systems. Physical modeling, remote sensing and computational simulations are destined to replace the current empirical approaches and will ultimately become the main tool for analysis and design of soil-structure systems. The paper discusses the results of recent research studies utilizing physical modeling to simulate the response of critical soil-structure systems to natural and man-made hazards.

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Full-Scale Laboratory Tests Using a Shape-Acceleration Array System

Cited by 12 publications

References 4 publications

Real-Time Monitoring System and Advanced Characterization Technique for Civil Infrastructure Health Monitoring

Real-Time Monitoring System and Advanced Characterization Technique for Civil Infrastructure Health Monitoring

Laminar Box System for 1-g Physical Modeling of Liquefaction and Lateral Spreading

Recent advances in physical modeling and remote sensing of civil infrastructure systems

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