Manno, Switzerland
Manno, Switzerland

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More than 4500 total ship losses were recorded worldwide in the period from 1994 to 2002: more than 30% of such incidents are caused by structural problems. Hull stress due to loading, or stresses imparted by wave and adverse weather conditions constitute primary source of risk to all types of ships with a large hull. Bulk carriers, large oil tankers, containers carriers, LNG carriers, and roro are vessel types particularly subject to such type of risks. The concept of MOSES Project is to apply highly knowledge-based methods to achieve control of tensile loads in the whole extension of the ship hull, using temperature compensated laser based optical sensors. The Project Objectives involve Ship Clustering, Sensors Development, FEM Structural Calculations and Data Conditioning, to grant the applicability to the widest types of ships. Sensor fusion concept is adopted to integrate strain gauges, accelerometers and inclinometers in a common optical-fibre based architecture, capable of providing instantaneous information concerning the dynamic status of the ship. The sensors prove to respect the stringent requirements of the working environment, in terms of ruggedness, reliability, response accuracy, insensibility to Electromagnetic interference and multiplex connection capability. The expected benefits are associated to immediate increase in safety of the ship where they are installed, during loading and in shipping conditions, reduction of casualties, extended service life of vessel, and targeted maintenance directed to overcome the damages detected by the monitoring system.

Agency: European Commission | Branch: H2020 | Program: RIA | Phase: MG-8.4a-2015 | Award Amount: 3.33M | Year: 2016

An efficient asset management process is needed to ensure cost-effectiveness, in planning, delivery, operation and maintenance of large infrastructures or infrastructures network. Infrastructure asset management generally focuses on the later stages of a facilitys life cycle, specifically maintenance, rehabilitation, and replacement. However, a process of efficient asset management must define methods and tools for asset tracking, management of maintenance activity, determine the life cycle and replacement costs of the assets, assistance in determining funding strategies, optimizing capital investments in operation and maintenance, and help with the replacement of assets. Currently, the procurement, design, construction, exploitation and public communication to the final users and society regarding to the land transport infrastructures are: not multimodal, not cross-assets, but focused on individual assets. not correctly linked, not being able to exchange information by different stakeholders. lack of a common risk based approach and the implementation of resilient concepts throughout the whole life cycle The aim of the proposal is to establish a common framework for governance, management and finance of transport infrastructure projects in order to ensure the best possible return from limited investment funds in transport infrastructures The main objective of RAGTIME is to develop, demonstrate and validate an innovative management approach and to lay out a whole system planning software platform, based on standard multiscale data models, able to facilitate a holistic management throughout the entire lifecycle of the infrastructure, providing an integrated view of risk based approach, implementing risk based models, resilient concepts and mitigation actions, with specific reference to climate change related threats perspective, and monitored with smart systems, in order to optimize ROI, management, guarantee LOS and improve resilience through maintaining the service.

Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: NMP-2007-3.2-1 | Award Amount: 5.30M | Year: 2008

Ever increasing competition in international markets drives manufacturers to shorten design cycles and reduce manufacturing times and costs for their products. This trend generates a demand for smart, flexible and faster machining systems, which are easy to set up and configure and able to drastically increase productivity, while improving final accuracy. Therefore the primary goal is to achieve cost-effective structural solutions consisting of a new class of Modular Adaptronic devices based on smart and multifunctional actuators/sensors capable of performing a wide array of multiple functions, ranging from high and adaptable damping and stiffness characteristics to more demanding new requirements such as structural and measuring/ active-control function in order to achieve extremely high dynamic/thermal stability required in fast and precision machining. This project aims at designing, developing and validating the following novel adaptronic modules for machine tools applications: - Adaptronic interface for Active Vibration Control (AVC) and superfine positioning - Adaptronic framework for thermal compensation based on FBG fibre optics

Glisic B.,Princeton University | Glisic B.,SMARTEC SA | Inaudi D.,SMARTEC SA | Casanova N.,SMARTEC SA
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2010

Civil structures are important for any society and it is necessary to monitor their health condition in order to mitigate risks, prevent disasters, and plan maintenance activities in an optimized manner. Structural health monitoring (SHM) recently emerged as a branch of engineering with a great potential for addressing the above mentioned challenges. In spite of its importance and promising benefits, SHM is still relatively infrequently used in real structures. A possible reason for this is a lack of understanding of the SHM process, which is often considered to be a supplemental activity that does not require detailed planning. However, the opposite is true - only proper and detailed development and implementation of each SHM step can ensure its successful and maximal performance. The aim of this paper is to present the SHM process through more than 350 projects. Basic concepts are introduced, and the purpose, requirements and benefits of SHM are discussed. The importance of monitoring over a life span is highlighted. Core activities such as creating monitoring strategy, installation and maintenance of hardware, and data management are presented and discussed. The involved parties are identified and their interaction with the monitoring process is analyzed. Finally, important SHM challenges are identified. © 2010 SPIE.

Glisic B.,Princeton University | Inaudi D.,SMARTEC SA
Structural Health Monitoring | Year: 2012

Many bridges worldwide are approaching the end of their lifespan and it is necessary to assess their health condition in order to mitigate risks, prevent disasters, and plan maintenance activities in an optimized manner. Fracture critical bridges are of particular interest since they have only little or no load path redundancy. Structural health monitoring (SHM) has recently emerged as a branch of engineering, which aim is to improve the assessment of structural condition. Distributed optical fiber sensing technology has opened new possibilities in SHM. A distributed deformation sensor (sensing cable) is sensitive at each point of its length to strain changes and cracks. Such a sensor practically monitors a one-dimensional strain field and can be installed over all the length of the monitored structural members, thereby providing with integrity monitoring, i.e. direct detection and characterization (including recognition, localization, and quantification or rating) of local strain changes generated by damage. Integrity monitoring principles are developed and presented in this article. A large scale laboratory test and a real on-site application are briefly presented. © The Author(s) 2011 Reprints and permissions:

Posenato D.,Smartec SA | Kripakaran P.,Ecole Polytechnique Federale de Lausanne | Inaudi D.,Smartec SA | Smith I.F.C.,Ecole Polytechnique Federale de Lausanne
Computers and Structures | Year: 2010

Structural health monitoring (SHM) has the potential to provide quantitative and reliable data on the real condition of structures, observe the evolution of their behaviour and detect degradation. This paper presents two methodologies for model-free data interpretation to identify and localize anomalous behaviour in civil engineering structures. Two statistical methods based on (i) moving principal component analysis and (ii) robust regression analysis are demonstrated to be useful for damage detection during continuous static monitoring of civil structures. The methodologies are tested on numerically simulated elements with sensors for a range of noise in measurements. A comparative study with other statistical analyses demonstrates superior performance of these methods for damage detection. Approaches for accommodating outliers and missing data, which are commonly encountered in structural health monitoring for civil structures, are also proposed. To ensure that the methodologies are scalable for complex structures with many sensors, a clustering algorithm groups sensors that have strong correlations between their measurements. Methodologies are then validated on two full-scale structures. The results show the ability of the methodology to identify abrupt permanent changes in behavior. © 2010 Elsevier Ltd. All rights reserved.

Laory I.,Ecole Polytechnique Federale de Lausanne | Trinh T.N.,SMARTEC SA | Posenato D.,Ecole Polytechnique Federale de Lausanne | Smith I.F.C.,Ecole Polytechnique Federale de Lausanne
Journal of Computing in Civil Engineering | Year: 2013

Despite the recent advances in sensor technologies and data-acquisition systems, interpreting measurement data for structural monitoring remains a challenge. Furthermore, because of the complexity of the structures, materials used, and uncertain environments, behavioral models are difficult to build accurately. This paper presents novel model-free data-interpretation methodologies that combine moving principal component analysis (MPCA) with each of four regression-analysis methods - robust regression analysis (RRA), multiple linear analysis (MLR), support vector regression (SVR), and random forest (RF) - for damage detection during continuous monitoring of structures. The principal goal is to exploit the advantages of both MPCA and regression-analysis methods. The applicability of these combined methods is evaluated and compared with individual applications of MPCA, RRA, MLR, SVR, and RF through four case studies. Result showed that the combined methods outperformed noncombined methods in terms of damage detectability and time to detection. © 2013 American Society of Civil Engineers.

Journal of Pressure Vessel Technology, Transactions of the ASME | Year: 2010

Distributed fiber optic sensing presents unique features that have no match in conventional sensing techniques. The ability to measure temperatures and strain at thousands of points along a single fiber is particularly interesting for the monitoring of elongated structures such as pipelines, flow lines, oil wells, and coiled tubing. Sensing systems based on Brillouin and Raman scattering are used, for example, to detect pipeline leakages, to verify pipeline operational parameters and to prevent failure of pipelines installed in landslide areas, to optimize oil production from wells, and to detect hot spots in high-power cables. Recent developments in distributed fiber sensing technology allow the monitoring of 60 km of pipeline from a single instrument and of up to 300 km with the use of optical amplifiers. New application opportunities have demonstrated that the design and production of sensing cables are a critical element for the success of any distributed sensing instrumentation project. Although some telecommunication cables can be effectively used for sensing ordinary temperatures, monitoring high and low temperatures or distributed strain presents unique challenges that require specific cable designs. This contribution presents advances in long-range distributed sensing and in novel sensing cable designs for distributed temperature and strain sensing. This paper also reports a number of significant field application examples of this technology, including leakage detection on brine and gas pipelines, strain monitoring on gas pipelines and combined strain and temperature monitoring on composite flow lines, and composite coiled tubing pipes. Copyright © 2009 by ASME.

SHMII 2015 - 7th International Conference on Structural Health Monitoring of Intelligent Infrastructure | Year: 2015

The monitoring of civil and geotechnical structures requires a variety of different measurement tasks that require different types of sensing systems. Fiber optic sensors can be used in a variety of applications and many sensor types exist. When measuring strain and deformations, among the most important structural performance indicators, different approaches are possible: point, long-gauge and distributed. This contribution discusses the types of applications that benefit more from each type of sensor and provides application examples from real-life projects. Point sensor provide strain or deformation (e.g. crack opening) at one specific location of a structure. They are therefore adapted when the location to be monitored can be easily be identified, such as and existing crack, or when the strain distribution is expected to be uniform in large areas of the structure and can be sampled anywhere. For example a point strain sensor can measure strain in a steel beam and compare it to the design value. Long-gauge sensors measure the deformation or average strain over a measurement basis that is comparable to the size of a structural element. They therefore provide values that are representative of the performance of a structural element as a whole, e.g. the axial load in a column or the bending moment in a beam section. Local defects such as concrete cracks of material inhomogeneity are taken into account in this averaging, but are not addressed or identified individually. For example a long-gauge sensor can be used to calculate the load distribution among several columns in a building. Distributed optical fiber sensing technology has opened new possibilities in structural monitoring. Distributed deformation sensors (sensing cables) are sensitive at each point of their length to strain and temperature changes. Such a sensor is therefore able to record one-dimensional strain fields and can be installed over the entire length of a large structure (levee, landslide, sinkhole area, tunnel, etc.), and therefore provides assurance for integrity monitoring and direct detection and localization of defects such as cracks, abnormal deformations or settlements. These sensors are therefore not only able to measure strain (answering the "how much" question) but also how to localize damage areas (answering the "where" question). This makes them ideal for monitoring structures where the location of possible defects is a-priori unknown. For example a distributed sensor can detect and localize a seepage zone in a levee, the onset of a sinkhole or the formation of a crack in a tunnel liner.. © 2015, International Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII. All rights reserved.

SHMII-5 2011 - 5th International Conference on Structural Health Monitoring of Intelligent Infrastructure | Year: 2011

Structural health monitoring (SHM) is a process that provides accurate and real-time information concerning structural condition and performance. Requirements for structural health monitoring in the last few decades have rapidly increased, and these requirements have stimulated many new developments in various sensing technologies. Having passed the stage of scientific or technical curiosity, SHM is now entering its adulthood and systems need to clearly demonstrate their economic benefits as well. Owners and engineers are no longer satisfied with the general benefits of SHM such as "reducing risk", "improving knowledge" and "verifying hypotheses", and need to provide justification from an economic point of view, clearly defining the cost-effectiveness of a SHM system. Our experience from commercially proposing SHM systems has allowed us to identify several scenarios, where immediate, near-term and long-term cost savings exceed the SHM system cost. In this presentation, we will develop three such scenarios:• Supervised lifetime extension for deficient bridges, which are candidates for replacement • SHM during new construction and early life • Risk management on new geotechnical constructions Each scenario will be illustrated by an application example taken from practice.

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