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Determination of road profile using multiple passing vehicle measurements (2020)

Keenahan, Jennifer; Ren, Yifei; O'Brien, Eugene J.

Determination of road profile using multiple passing vehicle measurements (2020)

Keenahan, Jennifer; Ren, Yifei; O'Brien, Eugene J.

Abstract:

This paper describes a novel method to determine a road profile through the analysis of accelerations in a passing vehicle. A direct integration algorithm is proposed to determine the profile from the measured vehicle acceleration response. A sprung mass model and a half-car model are used to represent the vehicles in separate analyses. Combining the direct integration algorithm with the Cross Entropy (CE) optimisation method, a vehicle fleet monitoring concept is proposed for the monitoring of roads and/or bridges. In this approach, the profile can be calculated using accelerations from multiple vehicles without prior knowledge of the vehicle properties. Numerical results show that calculated profiles are the same as the ‘true’ profiles which were used to generate the ‘simulated measured’ accelerations.
University College Dublin
China Scholarship Council

http://hdl.handle.net/10197/11480

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Developments in damage assessment by Marie Skłodowska-Curie TRUSS ITN project (2017)

González, Arturo

Developments in damage assessment by Marie Skłodowska-Curie TRUSS ITN project (2017)

González, Arturo

Abstract:

12th International Conference on Damage Assessment of Structures (DAMAS 2017), Kitakyushu, Japan, July, 2017
The growth of cities, the impacts of climate change and the massive cost of providing new infrastructure provide the impetus for TRUSS (Training in Reducing Uncertainty in Structural Safety), a €3.7 million Marie Skłodowska-Curie Action Innovative Training Network project funded by EU's Horizon 2020 programme, which aims to maximize the potential of infrastructure that already exists (http://trussitn.eu). For that purpose, TRUSS brings together an international, inter-sectoral and multidisciplinary collaboration between five academic and eleven industry institutions from five European countries. The project covers rail and road infrastructure, buildings and energy and marine infrastructure. This paper reports progress in fields such as advanced sensor-based structural health monitoring solutions - unmanned aerial vehicles, optical backscatter reflectometry, monitorin...

http://hdl.handle.net/10197/8756

Marked Mark

Developments in damage assessment by Marie Skłodowska-Curie TRUSS ITN project (2017)

González, Arturo

Developments in damage assessment by Marie Skłodowska-Curie TRUSS ITN project (2017)

González, Arturo

Abstract:

The growth of cities, the impacts of climate change and the massive cost of providing new infrastructure provide the impetus for TRUSS (Training in Reducing Uncertainty in Structural Safety), a €3.7 million Marie Skłodowska-Curie Action Innovative Training Network project funded by EU's Horizon 2020 programme, which aims to maximize the potential of infrastructure that already exists (http://trussitn.eu). For that purpose, TRUSS brings together an international, inter-sectoral and multidisciplinary collaboration between five academic and eleven industry institutions from five European countries. The project covers rail and road infrastructure, buildings and energy and marine infrastructure. This paper reports progress in fields such as advanced sensor-based structural health monitoring solutions - unmanned aerial vehicles, optical backscatter reflectometry, monitoring sensors mounted on vehicles, ... - and innovative algorithms for structural designs and short- and long-term as...

http://hdl.handle.net/10197/8755

Marked Mark

Estimation of structural parameters using static loading tests (2015)

Covián, E.; Casero, Miguel; González, Arturo

Estimation of structural parameters using static loading tests (2015)

Covián, E.; Casero, Miguel; González, Arturo

Abstract:

11th International Conference on Structural Safety and Reliability (ICOSSAR 2013), Columbia University, New York, USA, 16-20 June 2013
Static damage detection techniques make use of the observed change in the structure's static response (i.e., displacement, strain) to identify, locate and quantify damage. For a given load, the static response is related to the boundary conditions and distribution of structural stiffness throughout the structure. As damage can be characterised as a local reduction in structural stiffness, analysis of the structure's static response has been used extensively to locate and quantify damage. In recent years many new static damage detection techniques have been proposed, with most of the research being focused on the development of finite element based algorithms to estimate the stiffness of the structure. This paper reviews these techniques and discusses their potential when using modern surveying techniques.
Spanish Government, Progra...

http://hdl.handle.net/10197/6539

Marked Mark

Evaluating the structural capacity of concrete elements through in-situ instrumentation (2013)

Byrne, David; Goggins, Jamie

Evaluating the structural capacity of concrete elements through in-situ instrumentation (2013)

Byrne, David; Goggins, Jamie

Abstract:

The difficulty in predicting the long term load capacity of concrete elements is well documented. Time dependent effects such as creep and shrinkage coupled with varying loading events, particularly during construction, can all have an adverse effect on the long term performance of a concrete structure. This paper proposes a method that utilises in-situ instrumentation to predict the load carrying capacity of concrete members. During the construction of the Engineering building at the National University of Ireland, Galway over 260 sensors were embedded in a number of key concrete elements. The sensors are being continually monitored with the use of automatic datalogging equipment and the data is being used to monitor changes in geometric and material properties along with the subsequent time dependent deterioration of the elements. The paper will illustrate how the in-situ data from the demonstrator building can be used to estimate the real time behaviour of the concrete elements a...

http://www.ttp.net/978-3-03785-796-0.html

Marked Mark

Experimental Testing of a Cross-Entropy Algorithm to Detect Damage (2014)

González, Arturo; Covián, E.; Casero, Miguel; Cooper, John

Experimental Testing of a Cross-Entropy Algorithm to Detect Damage (2014)

González, Arturo; Covián, E.; Casero, Miguel; Cooper, John

Abstract:

Cross-entropy optimization has recently been applied to the damage detection in structures subject to static loading. The optimization procedure minimizes the error between the measured deflection data and theoretical deflection data obtained from artificially generated finite element models based on assumed statistical distributions of stiffness for each discretized element. Following a number of iterations, the finite element model with stiffness properties producing deflections closer to reality is established as the mathematical model closest to the true structure. However, while previous testing of the algorithm has been relatively successful, it has been limited to theoretical simulations. Therefore, this paper conducts lab experiments on a beam loaded statically to test the accuracy of the algorithm. Deflections are measured for beam scenarios under different loading levels. The accuracy of the results is discussed and recommendations are made to improve the performance of th...

http://hdl.handle.net/10197/6228

Marked Mark

Experimental testing of a cross-entropy algorithm to detect damage (2014)

González, Arturo; Covián, E.; Casero, Miguel; Cooper, John

Experimental testing of a cross-entropy algorithm to detect damage (2014)

González, Arturo; Covián, E.; Casero, Miguel; Cooper, John

Abstract:

10th International Conference on Damage Assessment of Structures (DAMAS 2013), Dublin, Ireland 8-10 July, 2013
Cross-entropy optimization has recently been applied to the damage detection in structures subject to static loading. The optimization procedure minimizes the error between the measured deflection data and theoretical deflection data obtained from artificially generated finite element models based on assumed statistical distributions of stiffness for each discretized element. Following a number of iterations, the finite element model with stiffness properties producing deflections closer to reality is established as the mathematical model closest to the true structure. However, while previous testing of the algorithm has been relatively successful, it has been limited to theoretical simulations. Therefore, this paper conducts lab experiments on a beam loaded statically to test the accuracy of the algorithm. Deflections are measured for beam scenarios under different loa...

http://hdl.handle.net/10197/6230

Marked Mark

Finite Element Updating using Cross-Entropy Combined with Random-Field Theory (2014)

Casero, Miguel; González, Arturo; Covián, E.

Finite Element Updating using Cross-Entropy Combined with Random-Field Theory (2014)

Casero, Miguel; González, Arturo; Covián, E.

Abstract:

The Twelfth International Conference on Computational Structures Technology (CST 2014) , Naples, Italy , 2-5 September, 2014
In this paper, the possibility of introducing random field theory into the cross-entropy algorithm is studied. Cross-entropy algorithm is an optimization process that Walsh and González (2009) use to estimate the stiffness distribution of a structure given a set of displacements. Although this method has been successfully tested, many lines of improvement are still opened. Random field theory is incorporated into the algorithm in an attempt to account for spatial variability of stiffness throughout the structure. For this purpose, a correlation function, variable in space, is defined and, as a result, a modification of the algorithm is proposed. The modified algorithm is then tested using numerical simulations in a scenario consisting of a simply supported beam.
Programa Nacional de Proyectos de Investigación Fundamental, del VI Plan de Investigación N...

http://hdl.handle.net/10197/6224

Marked Mark

Full scale accelerated testing of bituminous road pavement mixtures (2013)

Gilchrist, M. D.; Hartman, Anton M.; Owende, Philip; et al.

Full scale accelerated testing of bituminous road pavement mixtures (2013)

Gilchrist, M. D.; Hartman, Anton M.; Owende, Philip; et al.

Abstract:

The in-service behaviour of a standard Irish Dense Base Coarse Macadam mixture (DBC) was evaluated by using the material to overlay a road section, which was based upon a weak pavement structure. The response of the layer under a fully laden dual axle truck was examined using a series of pressure cells and asphalt strain gauges that were embedded in the test section. The section was traversed repeatedly until a network of fatigue cracks was observed on the road surface. The transverse horizontal tensile strain was found to be the most critical parameter in initiating pavement damage
Other funder
Enterprise Ireland (Applied Research Grants HE/1996/148 and HE/1998/288), the Irish Forestry Board, the National Council for Forest Research and Development (COFORD), the National Roads Authority, Roadstone Dublin and Wicklow County Council.
Deposited by bulk import
kpw30/10/13

http://hdl.handle.net/10197/4815

Marked Mark

Infrastructure management information system framework requirements for disasters (2010)

Pradhan, Anu; Laefer, Debra F.; Rasdorf, W. J. (William J.)

Infrastructure management information system framework requirements for disasters (2010)

Pradhan, Anu; Laefer, Debra F.; Rasdorf, W. J. (William J.)

Abstract:

A three-tiered, enterprise, GIS architecture offers a robust, efficient, and secure platform to potentially revolutionize disaster management by enabling support of all of the phases of governmental activity that must occur before, during, and after a disaster. Presently, both publicly and privately initiated, computer-based systems designed for disaster management cannot meet the real-time data access and analysis needs at crucial stages, especially those occurring during an actual disaster. Impediments are reflective of the proprietary, standalone, and segregated nature of current systems. This paper proposes an integrated, infrastructure management information system as a reliable and effective alternative. Issues related to sharing data, customizing applications, supporting multiple data formats, querying visually, facilitating ubiquitous computing, and upgrading are all addressed. Achieving maximum flexibility and capacity in a disaster management system relies upon recent adva...

http://hdl.handle.net/10197/2377

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