Kerop Janoyan - Academia.edu (original) (raw)

Papers & Book Chapters by Kerop Janoyan

Energy for Sustainable Development, 2014

We introduce a new conceptual approach to green data centers through the use of multiple, distrib... more We introduce a new conceptual approach to green data centers through the use of multiple, distributed networked data centers that are co-located with renewable energy. While green data centers are a well-established objective, conventional approaches have focused on either high efficiencies and/or the use of renewable energy. This model extends and innovates both approaches with three key design aspects. First, it emphasizes the use of many small, geographically distributed mini data centers. Second, such data centers can operate with the option of being dislocated from the electrical grid via a mini-grid, or behind the meter. Third, the approach enhances the use of renewable energy via the ability to transfer computing load from one mini data center to another as renewable supply or market contexts dictate. This paper introduces the conceptual approach, outlines the research broadly, and examines potential technical, economic, and policy constraints for the establishment of this approach on a broad scale. Finally, we discuss the implications of this model for the developing world, particularly in areas without substantial electricity transmission infrastructure.

Bird, S., Achuthan, A., Ait Maatallah, O., Hu, W., Janoyan, K., Kwasinski, A., Matthews, J., Mayhew, D., Owen, J., Marzocca, P. (2014). Distributed (green) data centers: A new concept for energy, computing, and telecommunications. Energy for Sustainable Development.

Papers by Kerop Janoyan

Smart Structures and Systems, 2010

ABSTRACT Low-power radio frequency (RF) chip transceiver technology and the associated structural... more ABSTRACT Low-power radio frequency (RF) chip transceiver technology and the associated structural health monitoring platforms have matured recently to enable high-rate, lossless transmission of measurement data across large-scale sensor networks. The intrinsic value of these advanced capabilities is the allowance for high-quality, rapid operational modal analysis of in-service structures using distributed accelerometers to experimentally characterize the dynamic response. From the analysis afforded through these dynamic data sets, structural identification techniques can then be utilized to develop a well calibrated finite element (FE) model of the structure for baseline development, extended analytical structural evaluation, and load response assessment. This paper presents a case study in which operational modal analysis is performed on a three-span prestressed reinforced concrete bridge using a wireless sensor network. The low-power wireless platform deployed supported a high-rate, lossless transmission protocol enabling real-time remote acquisition of the vibration response as recorded by twenty-nine accelerometers at a 256 Sps sampling rate. Several instrumentation layouts were utilized to assess the global multi-span response using a stationary sensor array as well as the spatially refined response of a single span using roving sensors and reference-based techniques. Subsequent structural identification using FE modeling and iterative updating through comparison with the experimental analysis is then documented to demonstrate the inherent value in dynamic response measurement across structural systems using high-rate wireless sensor networks.

Proceedings of Spie the International Society For Optical Engineering, Mar 1, 2007

This study proposes the use of an innovative array of accelerometers for inertial tracking that i... more This study proposes the use of an innovative array of accelerometers for inertial tracking that is enabled through the use of a non-Cartesian hyper-coordinate frame. Traditional inertial tracking technologies employ an array of accelerometers and gyroscopes oriented in the orthogonal axes of the Cartesian coordinate system. The gyroscope sensors are responsible for deducing the relative orientation of the instrumented object, while the accelerometer measurements are double integrated to approximate the change in linear position relative to the local coordinate frame. Since the position determination is dependent on the orientation derivation, the accuracy and stability of the gyroscope sensors to a large extent determines the overall system performance. Consequently, high-performance gyroscopes are generally used in inertial tracking systems, thereby driving the system cost significantly higher. The proposed approach exclusively utilizes accelerometers in an innovative six axis orientation that, through linear algebra, resolves linear and angular accelerations. The functional layout is processed in the context of hyperdimensional coordinates which ultimately produce an inherent vector redundancy when resolved in the Cartesian coordinate frame. This revised architecture is anticipated to alleviate many of the issues plaguing traditional inertial tracking that stem from the stability of derived orientation from gyroscope readings. In addition, the exclusion of gyroscopes from the design significantly reduces the unit cost of the system. This paper additionally presents the development of a wireless system that incorporates the above described, unique array of dedicated sensors for inertial tracking to provide accurate determination of position and orientation of the sensor over time. The system permits access for additional channels of sensors for application specific monitoring tasks. This allows sensing on objects in motion and in regions or flow patterns that cannot be easily instrumented with traditional wired systems while maintaining knowledge of instantaneous position relative to the initial location. To date, the majority of wireless sensor network deployments have enabled instrumentation of widespread sites, such as civil structures, to alleviate the expense associated with the lengths of cable necessary to connect the sensors to a central acquisition station. The alternative approach sought utilizes the unrestrained nature of the wireless sensor to extend the use of this technology beyond static monitoring into applications in which the sensor node travels across an area without a priori knowledge of the sensor motion. Documentation of the hardware development of the proposed wireless sensing node as well as assessment of the system performance will be provided.

Structural Health Monitoring 2015, 2015

This paper focuses on the application of two methodologies, namely modal curvature and instantane... more This paper focuses on the application of two methodologies, namely modal curvature and instantaneous phase, for bridge health monitoring. The algorithms are applied to the structural vibration data acquired from numerical simulation of a benchmark bridge, which includes specified damage scenarios. The modal curvature method utilizes the second derivative of structural mode shapes acquired using the peak picking method. Instantaneous phase information is derived through the Hilbert transform of intrinsic mode functions generated from the decomposition of vibration data. The modal curvature method demonstrates ability to detect and locate damage, but needs further development to predict damage severity consistently. The instantaneous phase method fails to detect damages.

Applied Energy, 2015

ABSTRACT A new Wind Speed Forecasting (WSF) model, suitable for a short term 1–24 h forecast hori... more ABSTRACT A new Wind Speed Forecasting (WSF) model, suitable for a short term 1–24 h forecast horizon, is developed by adapting Hammerstein model to an Autoregressive approach. The model is applied to real data collected for a period of three years (2004–2006) from two different sites. The performance of HAR model is evaluated by comparing its prediction with the classical Autoregressive Integrated Moving Average (ARIMA) model and a multi-layer perceptron Artificial Neural Network (ANN). Results show that the HAR model outperforms both the ARIMA model and ANN model in terms of root mean square error (RMSE), mean absolute error (MAE), and Mean Absolute Percentage Error (MAPE). When compared to the conventional models, the new HAR model can better capture various wind speed characteristics, including asymmetric (non-gaussian) wind speed distribution, non-stationary time series profile, and the chaotic dynamics. The new model is beneficial for various applications in the renewable energy area, particularly for power scheduling.

7th FMGM 2007, 2007

ABSTRACT Presented in this paper is a wireless sensor network capable of large scale deployments ... more ABSTRACT Presented in this paper is a wireless sensor network capable of large scale deployments for remote monitoring of geo-structural systems. The Wireless Sensor System (WSS) developed at Clarkson University allows for real-time, high-rate wireless data collection from an array of different sensors, including extensometers (strain gages) and accelerometers. The sensor network offers an economic solution for demanding large-scale monitoring applications, common in civil engineering. The developed wireless sensor network affords dense sensor deployments for distributed monitoring to provide insight into both the geotechnical and structural response of an entire system. This paper presents the capabilities of the wireless sensor network along with preliminary results from a field deployment of the system on a single-span integral abutment bridge in which real-time wireless data from an array of accelerometers was collected simultaneously with strain transducers through a single sensor network.

Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 2006

Environmental testing of wireless sensor system for structural health monitoring of civil infrast... more Environmental testing of wireless sensor system for structural health monitoring of civil infrastructure. [Proceedings of SPIE 6174, 617405 (2006)]. Michael P. Fuchs, Kerop D. Janoyan, Edward S. Sazonov, Vidya Krishnamurthy, Ratan Jha, Kevin Cross. Abstract. ...

Smart Structures and Materials 2006: Smart Sensor Monitoring Systems and Applications, 2006

Lost Foam Casting (LFC) enables the production of complex castings while offering the advantages ... more Lost Foam Casting (LFC) enables the production of complex castings while offering the advantages of consolidation of components, reduced machining, and recirculation of the casting mold material. In.

Sensor Systems and Networks: Phenomena, Technology, and Applications for NDE and Health Monitoring 2007, 2007

Page 1. Performance Monitoring of a Short-Span Integral-Abutment Bridge Using Wireless Sensor Tec... more Page 1. Performance Monitoring of a Short-Span Integral-Abutment Bridge Using Wireless Sensor Technology Michael V. Gangone, Matthew J. Whelan, Michael P. Fuchs, Kerop D. Janoyan Clarkson University, Department ...

Sensor Systems and Networks: Phenomena, Technology, and Applications for NDE and Health Monitoring 2007, 2007

Page 1. DEVELOPMENT OF A WIRELESS BRIDGE MONITORING SYSTEM FOR CONDITION ASSESSMENT USING HYBRID ... more Page 1. DEVELOPMENT OF A WIRELESS BRIDGE MONITORING SYSTEM FOR CONDITION ASSESSMENT USING HYBRID TECHNIQUES Matthew J. Whelan, Michael P. Fuchs, Michael V. Gangone, and Kerop D. Janoyan ...

Smart Structures and Materials 2005: Industrial and Commercial Applications of Smart Structures Technologies, 2005

Development and optimization of novel sensors for inline measurement of sand filling and compacti... more Development and optimization of novel sensors for inline measurement of sand filling and compaction stages in lost foam casting. [Proceedings of SPIE 5762, 80 (2005)]. Matthew J. Whelan, Kerop D. Janoyan. Abstract. The lost ...

Smart Sensor Phenomena, Technology, Networks, and Systems 2008, 2008

With the increased demand placed on aging infrastructure, there is great interest in new conditio... more With the increased demand placed on aging infrastructure, there is great interest in new condition assessment tools for bridges. The routine deterioration that bridges undergo causes a loss in the intended performance that, if undetected or unattended, can eventually lead to structural failure. Currently the primary method of bridge condition assessment involves a qualitative bridge inspection routine based on visual observations. Discussed in this paper are methods of insitu quantitative bridge condition assessment using a dense wireless sensor array. At the core of the wireless system is an integrated network which collects data from a variety of sensors in real-time and provides analysis, assessment and decision-making tools. The advanced wireless sensor system, developed at Clarkson University for diagnostic bridge monitoring, provides independent conditioning for both accelerometers and strain transducers with high-rate wireless data transmission in a large-scale sensor network. Results from a field deployment of a dense wireless sensor network on a bridge located in New York State are presented. The field deployment and testing aid to quantify the current bridge response as well as demonstrate the ability of the system to perform bridge monitoring and condition assessment.

33rd Wind Energy Symposium, 2015

ABSTRACT

Sensor Review, 2012

ABSTRACT Purpose – The purpose of this paper is to further validate a wireless sensor system deve... more ABSTRACT Purpose – The purpose of this paper is to further validate a wireless sensor system developed at Clarkson University for structural monitoring of highway bridges. The particular bridge monitored employs a fiber reinforced polymer (FRP) panel system which is fairly innovative in the field of civil engineering design. The superstructure was monitored on two separate occasions to determine a change in structural response and see how the structural system performs over time. Design/methodology/approach – A series of wireless sensor units was deployed at various locations of the steel superstructure, to measure both the modal response from acceleration measurements as well as quasi-static and dynamic strain response. Ambient and forced loading conditions were applied to measure the response. Data results were compared over two separate periods approximately nine months apart. Findings – The first eight mode shapes were produced from output-only system identification providing natural frequencies ranging from approximately 6 to 42?Hz. The strain response was monitored over two different testing periods to measure various performance characteristics. Neutral axis, distribution factor, impact factor and end fixity were determined. Results appeared to be different over the two testing periods. They indicate that the load rating of the superstructure decreased over the nine month period, possibly due to deterioration of the materials or composite action. Research limitations/implications – The results from the two testing periods indicate that further testing needs to be completed to validate the change in response. It is difficult to say with certainty that the significant change in response is due to bridge deterioration and not other factors such as temperature effects on load rating. The sensor system, however, proved to provide high quality data and responses indicating its successful deployment for load testing and monitoring of highway infrastructure. Originality/value – The paper provides a depiction of the change in structural behavior of a bridge superstructure using a wireless sensor system. The wireless system provided high-rate data transmission in real time. Load testing at two different points in time, eight months apart, showed a significant change in bridge behavior. The paper provides a practical and actual physical load test and rating during these two periods for quantifiable change in response. It is shown that the wireless system is capable of infrastructure monitoring and that possible deterioration is expected with this particular bridge design. Additionally, the load testing occurred during different seasons, which could create cause for temperature effects in load rating. This can provide a basis for future performance monitoring techniques and structural health monitoring.

Sustainable and Resilient Critical Infrastructure Systems, 2010

Page 166. Intelligent Transportation Infrastructure Technologies for Condition Assessment and Str... more Page 166. Intelligent Transportation Infrastructure Technologies for Condition Assessment and Structural Health Monitoring of Highway Bridges Kerop D. Janoyan* and Matthew J. Whelan Abstract. The visual inspection routines ...

Advances in Deep Foundations, 2005

Page 1. Mobilization of Component Interface Stresses Between Soil and Pile Under Lateral Loading ... more Page 1. Mobilization of Component Interface Stresses Between Soil and Pile Under Lateral Loading Matthew J. Whelan1 and Kerop D. Janoyan2 1Graduate Research Assistant, Clarkson University, Department of Civil and ...

Smart Structures and Materials 2004: Smart Sensor Technology and Measurement Systems, 2004

Life cycle monitoring of civil infrastructure such as bridges and buildings is critical to the lo... more Life cycle monitoring of civil infrastructure such as bridges and buildings is critical to the long-term operational cost and safety of aging structures. The widespread use of Structural Health Monitoring (SHM) systems is limited due to unavailability of specialized data acquisition equipment, high cost of generic equipment, and absence of fully automatic decision support systems. The goals of the presented project include: first, design of a Wireless Intelligent Sensor and Actuator Network (WISAN) and creation of an inexpensive set of instrumentation for the tasks of structural health monitoring; second, development of a SHM method, which is suitable for autonomous structural health monitoring. The design of the wireless sensor network is aimed at applications of structural health monitoring, addressing the issues of achieving a low cost per sensor, higher reliability, sources of energy for the network nodes, energy-efficient distribution of the computational load, security and coexistence in the ISM radio bands. The practical applicability of the sensor network is increased through utilization of computational intelligence and support of signal generation capabilities. The automated SHM method is based on the method of modal strain energy, though other SHM methods will be supported as well. The automation tasks include automation of the modal identification through ambient vibrations, classification of the acquired mode shapes, and automatic evaluation of the structural health.

Smart Structures and Materials 2004: Industrial and Commercial Applications of Smart Structures Technologies, 2004

Advanced inline measurement and control tools for sand filling and compaction in lost foam castin... more Advanced inline measurement and control tools for sand filling and compaction in lost foam casting. [Proceedings of SPIE 5388, 410 (2004)]. Matthew J. Whelan, Kerop D. Janoyan. Abstract. Lost Foam Casting (LFC) enables metal ...

Energy for Sustainable Development, 2014

We introduce a new conceptual approach to green data centers through the use of multiple, distrib... more We introduce a new conceptual approach to green data centers through the use of multiple, distributed networked data centers that are co-located with renewable energy. While green data centers are a well-established objective, conventional approaches have focused on either high efficiencies and/or the use of renewable energy. This model extends and innovates both approaches with three key design aspects. First, it emphasizes the use of many small, geographically distributed mini data centers. Second, such data centers can operate with the option of being dislocated from the electrical grid via a mini-grid, or behind the meter. Third, the approach enhances the use of renewable energy via the ability to transfer computing load from one mini data center to another as renewable supply or market contexts dictate. This paper introduces the conceptual approach, outlines the research broadly, and examines potential technical, economic, and policy constraints for the establishment of this approach on a broad scale. Finally, we discuss the implications of this model for the developing world, particularly in areas without substantial electricity transmission infrastructure.

Bird, S., Achuthan, A., Ait Maatallah, O., Hu, W., Janoyan, K., Kwasinski, A., Matthews, J., Mayhew, D., Owen, J., Marzocca, P. (2014). Distributed (green) data centers: A new concept for energy, computing, and telecommunications. Energy for Sustainable Development.

Smart Structures and Systems, 2010

ABSTRACT Low-power radio frequency (RF) chip transceiver technology and the associated structural... more ABSTRACT Low-power radio frequency (RF) chip transceiver technology and the associated structural health monitoring platforms have matured recently to enable high-rate, lossless transmission of measurement data across large-scale sensor networks. The intrinsic value of these advanced capabilities is the allowance for high-quality, rapid operational modal analysis of in-service structures using distributed accelerometers to experimentally characterize the dynamic response. From the analysis afforded through these dynamic data sets, structural identification techniques can then be utilized to develop a well calibrated finite element (FE) model of the structure for baseline development, extended analytical structural evaluation, and load response assessment. This paper presents a case study in which operational modal analysis is performed on a three-span prestressed reinforced concrete bridge using a wireless sensor network. The low-power wireless platform deployed supported a high-rate, lossless transmission protocol enabling real-time remote acquisition of the vibration response as recorded by twenty-nine accelerometers at a 256 Sps sampling rate. Several instrumentation layouts were utilized to assess the global multi-span response using a stationary sensor array as well as the spatially refined response of a single span using roving sensors and reference-based techniques. Subsequent structural identification using FE modeling and iterative updating through comparison with the experimental analysis is then documented to demonstrate the inherent value in dynamic response measurement across structural systems using high-rate wireless sensor networks.

Proceedings of Spie the International Society For Optical Engineering, Mar 1, 2007

This study proposes the use of an innovative array of accelerometers for inertial tracking that i... more This study proposes the use of an innovative array of accelerometers for inertial tracking that is enabled through the use of a non-Cartesian hyper-coordinate frame. Traditional inertial tracking technologies employ an array of accelerometers and gyroscopes oriented in the orthogonal axes of the Cartesian coordinate system. The gyroscope sensors are responsible for deducing the relative orientation of the instrumented object, while the accelerometer measurements are double integrated to approximate the change in linear position relative to the local coordinate frame. Since the position determination is dependent on the orientation derivation, the accuracy and stability of the gyroscope sensors to a large extent determines the overall system performance. Consequently, high-performance gyroscopes are generally used in inertial tracking systems, thereby driving the system cost significantly higher. The proposed approach exclusively utilizes accelerometers in an innovative six axis orientation that, through linear algebra, resolves linear and angular accelerations. The functional layout is processed in the context of hyperdimensional coordinates which ultimately produce an inherent vector redundancy when resolved in the Cartesian coordinate frame. This revised architecture is anticipated to alleviate many of the issues plaguing traditional inertial tracking that stem from the stability of derived orientation from gyroscope readings. In addition, the exclusion of gyroscopes from the design significantly reduces the unit cost of the system. This paper additionally presents the development of a wireless system that incorporates the above described, unique array of dedicated sensors for inertial tracking to provide accurate determination of position and orientation of the sensor over time. The system permits access for additional channels of sensors for application specific monitoring tasks. This allows sensing on objects in motion and in regions or flow patterns that cannot be easily instrumented with traditional wired systems while maintaining knowledge of instantaneous position relative to the initial location. To date, the majority of wireless sensor network deployments have enabled instrumentation of widespread sites, such as civil structures, to alleviate the expense associated with the lengths of cable necessary to connect the sensors to a central acquisition station. The alternative approach sought utilizes the unrestrained nature of the wireless sensor to extend the use of this technology beyond static monitoring into applications in which the sensor node travels across an area without a priori knowledge of the sensor motion. Documentation of the hardware development of the proposed wireless sensing node as well as assessment of the system performance will be provided.

Structural Health Monitoring 2015, 2015

This paper focuses on the application of two methodologies, namely modal curvature and instantane... more This paper focuses on the application of two methodologies, namely modal curvature and instantaneous phase, for bridge health monitoring. The algorithms are applied to the structural vibration data acquired from numerical simulation of a benchmark bridge, which includes specified damage scenarios. The modal curvature method utilizes the second derivative of structural mode shapes acquired using the peak picking method. Instantaneous phase information is derived through the Hilbert transform of intrinsic mode functions generated from the decomposition of vibration data. The modal curvature method demonstrates ability to detect and locate damage, but needs further development to predict damage severity consistently. The instantaneous phase method fails to detect damages.

Applied Energy, 2015

ABSTRACT A new Wind Speed Forecasting (WSF) model, suitable for a short term 1–24 h forecast hori... more ABSTRACT A new Wind Speed Forecasting (WSF) model, suitable for a short term 1–24 h forecast horizon, is developed by adapting Hammerstein model to an Autoregressive approach. The model is applied to real data collected for a period of three years (2004–2006) from two different sites. The performance of HAR model is evaluated by comparing its prediction with the classical Autoregressive Integrated Moving Average (ARIMA) model and a multi-layer perceptron Artificial Neural Network (ANN). Results show that the HAR model outperforms both the ARIMA model and ANN model in terms of root mean square error (RMSE), mean absolute error (MAE), and Mean Absolute Percentage Error (MAPE). When compared to the conventional models, the new HAR model can better capture various wind speed characteristics, including asymmetric (non-gaussian) wind speed distribution, non-stationary time series profile, and the chaotic dynamics. The new model is beneficial for various applications in the renewable energy area, particularly for power scheduling.

7th FMGM 2007, 2007

ABSTRACT Presented in this paper is a wireless sensor network capable of large scale deployments ... more ABSTRACT Presented in this paper is a wireless sensor network capable of large scale deployments for remote monitoring of geo-structural systems. The Wireless Sensor System (WSS) developed at Clarkson University allows for real-time, high-rate wireless data collection from an array of different sensors, including extensometers (strain gages) and accelerometers. The sensor network offers an economic solution for demanding large-scale monitoring applications, common in civil engineering. The developed wireless sensor network affords dense sensor deployments for distributed monitoring to provide insight into both the geotechnical and structural response of an entire system. This paper presents the capabilities of the wireless sensor network along with preliminary results from a field deployment of the system on a single-span integral abutment bridge in which real-time wireless data from an array of accelerometers was collected simultaneously with strain transducers through a single sensor network.

Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 2006

Environmental testing of wireless sensor system for structural health monitoring of civil infrast... more Environmental testing of wireless sensor system for structural health monitoring of civil infrastructure. [Proceedings of SPIE 6174, 617405 (2006)]. Michael P. Fuchs, Kerop D. Janoyan, Edward S. Sazonov, Vidya Krishnamurthy, Ratan Jha, Kevin Cross. Abstract. ...

Smart Structures and Materials 2006: Smart Sensor Monitoring Systems and Applications, 2006

Lost Foam Casting (LFC) enables the production of complex castings while offering the advantages ... more Lost Foam Casting (LFC) enables the production of complex castings while offering the advantages of consolidation of components, reduced machining, and recirculation of the casting mold material. In.

Sensor Systems and Networks: Phenomena, Technology, and Applications for NDE and Health Monitoring 2007, 2007

Page 1. Performance Monitoring of a Short-Span Integral-Abutment Bridge Using Wireless Sensor Tec... more Page 1. Performance Monitoring of a Short-Span Integral-Abutment Bridge Using Wireless Sensor Technology Michael V. Gangone, Matthew J. Whelan, Michael P. Fuchs, Kerop D. Janoyan Clarkson University, Department ...

Sensor Systems and Networks: Phenomena, Technology, and Applications for NDE and Health Monitoring 2007, 2007

Page 1. DEVELOPMENT OF A WIRELESS BRIDGE MONITORING SYSTEM FOR CONDITION ASSESSMENT USING HYBRID ... more Page 1. DEVELOPMENT OF A WIRELESS BRIDGE MONITORING SYSTEM FOR CONDITION ASSESSMENT USING HYBRID TECHNIQUES Matthew J. Whelan, Michael P. Fuchs, Michael V. Gangone, and Kerop D. Janoyan ...

Smart Structures and Materials 2005: Industrial and Commercial Applications of Smart Structures Technologies, 2005

Development and optimization of novel sensors for inline measurement of sand filling and compacti... more Development and optimization of novel sensors for inline measurement of sand filling and compaction stages in lost foam casting. [Proceedings of SPIE 5762, 80 (2005)]. Matthew J. Whelan, Kerop D. Janoyan. Abstract. The lost ...

Smart Sensor Phenomena, Technology, Networks, and Systems 2008, 2008

With the increased demand placed on aging infrastructure, there is great interest in new conditio... more With the increased demand placed on aging infrastructure, there is great interest in new condition assessment tools for bridges. The routine deterioration that bridges undergo causes a loss in the intended performance that, if undetected or unattended, can eventually lead to structural failure. Currently the primary method of bridge condition assessment involves a qualitative bridge inspection routine based on visual observations. Discussed in this paper are methods of insitu quantitative bridge condition assessment using a dense wireless sensor array. At the core of the wireless system is an integrated network which collects data from a variety of sensors in real-time and provides analysis, assessment and decision-making tools. The advanced wireless sensor system, developed at Clarkson University for diagnostic bridge monitoring, provides independent conditioning for both accelerometers and strain transducers with high-rate wireless data transmission in a large-scale sensor network. Results from a field deployment of a dense wireless sensor network on a bridge located in New York State are presented. The field deployment and testing aid to quantify the current bridge response as well as demonstrate the ability of the system to perform bridge monitoring and condition assessment.

33rd Wind Energy Symposium, 2015

ABSTRACT

Sensor Review, 2012

ABSTRACT Purpose – The purpose of this paper is to further validate a wireless sensor system deve... more ABSTRACT Purpose – The purpose of this paper is to further validate a wireless sensor system developed at Clarkson University for structural monitoring of highway bridges. The particular bridge monitored employs a fiber reinforced polymer (FRP) panel system which is fairly innovative in the field of civil engineering design. The superstructure was monitored on two separate occasions to determine a change in structural response and see how the structural system performs over time. Design/methodology/approach – A series of wireless sensor units was deployed at various locations of the steel superstructure, to measure both the modal response from acceleration measurements as well as quasi-static and dynamic strain response. Ambient and forced loading conditions were applied to measure the response. Data results were compared over two separate periods approximately nine months apart. Findings – The first eight mode shapes were produced from output-only system identification providing natural frequencies ranging from approximately 6 to 42?Hz. The strain response was monitored over two different testing periods to measure various performance characteristics. Neutral axis, distribution factor, impact factor and end fixity were determined. Results appeared to be different over the two testing periods. They indicate that the load rating of the superstructure decreased over the nine month period, possibly due to deterioration of the materials or composite action. Research limitations/implications – The results from the two testing periods indicate that further testing needs to be completed to validate the change in response. It is difficult to say with certainty that the significant change in response is due to bridge deterioration and not other factors such as temperature effects on load rating. The sensor system, however, proved to provide high quality data and responses indicating its successful deployment for load testing and monitoring of highway infrastructure. Originality/value – The paper provides a depiction of the change in structural behavior of a bridge superstructure using a wireless sensor system. The wireless system provided high-rate data transmission in real time. Load testing at two different points in time, eight months apart, showed a significant change in bridge behavior. The paper provides a practical and actual physical load test and rating during these two periods for quantifiable change in response. It is shown that the wireless system is capable of infrastructure monitoring and that possible deterioration is expected with this particular bridge design. Additionally, the load testing occurred during different seasons, which could create cause for temperature effects in load rating. This can provide a basis for future performance monitoring techniques and structural health monitoring.

Sustainable and Resilient Critical Infrastructure Systems, 2010

Page 166. Intelligent Transportation Infrastructure Technologies for Condition Assessment and Str... more Page 166. Intelligent Transportation Infrastructure Technologies for Condition Assessment and Structural Health Monitoring of Highway Bridges Kerop D. Janoyan* and Matthew J. Whelan Abstract. The visual inspection routines ...

Advances in Deep Foundations, 2005

Page 1. Mobilization of Component Interface Stresses Between Soil and Pile Under Lateral Loading ... more Page 1. Mobilization of Component Interface Stresses Between Soil and Pile Under Lateral Loading Matthew J. Whelan1 and Kerop D. Janoyan2 1Graduate Research Assistant, Clarkson University, Department of Civil and ...

Smart Structures and Materials 2004: Smart Sensor Technology and Measurement Systems, 2004

Life cycle monitoring of civil infrastructure such as bridges and buildings is critical to the lo... more Life cycle monitoring of civil infrastructure such as bridges and buildings is critical to the long-term operational cost and safety of aging structures. The widespread use of Structural Health Monitoring (SHM) systems is limited due to unavailability of specialized data acquisition equipment, high cost of generic equipment, and absence of fully automatic decision support systems. The goals of the presented project include: first, design of a Wireless Intelligent Sensor and Actuator Network (WISAN) and creation of an inexpensive set of instrumentation for the tasks of structural health monitoring; second, development of a SHM method, which is suitable for autonomous structural health monitoring. The design of the wireless sensor network is aimed at applications of structural health monitoring, addressing the issues of achieving a low cost per sensor, higher reliability, sources of energy for the network nodes, energy-efficient distribution of the computational load, security and coexistence in the ISM radio bands. The practical applicability of the sensor network is increased through utilization of computational intelligence and support of signal generation capabilities. The automated SHM method is based on the method of modal strain energy, though other SHM methods will be supported as well. The automation tasks include automation of the modal identification through ambient vibrations, classification of the acquired mode shapes, and automatic evaluation of the structural health.

Smart Structures and Materials 2004: Industrial and Commercial Applications of Smart Structures Technologies, 2004

Advanced inline measurement and control tools for sand filling and compaction in lost foam castin... more Advanced inline measurement and control tools for sand filling and compaction in lost foam casting. [Proceedings of SPIE 5388, 410 (2004)]. Matthew J. Whelan, Kerop D. Janoyan. Abstract. Lost Foam Casting (LFC) enables metal ...