Spatial and Temporal Evolution of Post-Disaster Data for Damage Assessment of Civil Infrastructure Systems
Lozano, J., Nichols, E., Frost, J., and Tien, I., “Spatial and Temporal Evolution of Post-Disaster Data for Damage Assessment of Civil Infrastructure Systems,” Geomatics, Natural Hazards and Risk, Vol. 14, No. 1, 2023
Abstract — Assessing damage to civil infrastructure is a resource-intensive process that is critical during the response to a disaster. Various datasets facilitate this process read more…
Impacts of 5G on Cyber-Physical Risks for Interdependent Connected Smart Critical Infrastructure Systems
Vargas, P., and Tien, I., “Impacts of 5G on Cyber-Physical Risks for Interdependent Connected Smart Critical Infrastructure Systems,” International Journal of Critical Infrastructure Protection, Vol. 42, September 2023
Abstract — 5 G technology promises a wide range of benefits for critical infrastructure (CI), including improved reliability, increased efficiency, cost savings, and increased read more…
Data Collection Tools for Post-Disaster Damage Assessment of Building and Lifeline Infrastructure Systems
Lozano, J., and Tien, I., “Data Collection Tools for Post-Disaster Damage Assessment of Building and Lifeline Infrastructure Systems,” International Journal of Disaster Risk Reduction, Vol. 94, August 2023
Abstract — After a disaster event such as an earthquake or a hurricane, performing comprehensive and detailed damage assessment of lifeline infrastructure is read more…
Locating Real-Time Water Level Sensors in Coastal Communities to Assess Flood Risk by Optimizing Across Multiple Objectives
Tien, I., Lozano, J., and Chavan, A., “Locating Real-Time Water Level Sensors in Coastal Communities to Assess Flood Risk by Optimizing Across Multiple Objectives,” Nature Communications Earth and Environment, Vol. 4, No. 96, pp. 1-12, 2023
Abstract — Coastal communities around the world are experiencing increased flooding. Water level sensors provide real-time information on water levels and read more…
Prediction of Heat of Hydration of Cementitious Systems Using Gaussian Process Regression Enables Mass Concrete Thermal Modeling
Al-Hasani, L., Perez, G., Herndon, H., Park, J., Poole, J., Tien, I., Washburn, N., Cho, Y., Gentry, T., and Kurtis, K., “Prediction of Heat of Hydration of Cementitious Systems Using Gaussian Process Regression Enables Mass Concrete Thermal Modeling, Materials and Structures, Vol. 56, No. 45, 2023
Abstract — The temperature and time-dependent heat of hydration of cementitious pastes is a fundamental property to understand concrete performance. Cement hydration can be depicted using read more…
Community-Scale Spatial Mapping to Prioritize Green and Grey Infrastructure Locations to Increase Flood Resilience
Reckner, M., and Tien, I., “Community-Scale Spatial Mapping to Prioritize Green and Grey Infrastructure Locations to Increase Flood Resilience,” Sustainable and Resilient Infrastructure, Vol. 8, No. S1, pp. 289-310, 2023
Abstract — With increasing investment in infrastructure to address flooding, including green and grey solutions, there are challenges in selecting the type and location of read more…
Identifying Critical Infrastructure in Imagery Data Using Explainable Convolutional Neural Networks
Elliott, S., Shields, A., Klaehn, E., and Tien, I., “Identifying Critical Infrastructure in Imagery Data Using Explainable Convolutional Neural Networks,” Remote Sensing, Vol. 14, No. 21, pp. 1-15, 2022
Abstract — To date, no method utilizing satellite imagery exists for detailing the locations and functions of critical infrastructure across the United States, making response to natural disasters and other events read more…
Impacts of Varying Network Parameters on the Vulnerability and Resilience of Interdependent Critical Infrastructure Systems
Lee, C., and Tien, I., “Impacts of Varying Network Parameters on the Vulnerability and Resilience of Interdependent Critical Infrastructure Systems,” Sustainable and Resilient Infrastructure, Vol. 7, No. 6, pp. 984-1007, 2022
Abstract — Critical infrastructure systems are complex and subjected to evolving risks and hazards, which makes anticipating their behavior difficult. To prioritize among read more…
Conjugate Bayesian Updating of Analytical Fragility Functions Using Dynamic Analysis with Application to Corroded Bridges
Zhang, Y., and Tien, I., “Conjugate Bayesian Updating of Analytical Fragility Functions Using Dynamic Analysis with Application to Corroded Bridges,” Computers and Structures, Vol. 270, pp. 1-20, October 2022
Abstract — Analytical fragility functions provide a way to quantify the risk of a structure. One method to construct seismic fragility curves is to perform a series of nonlinear read more…
Assessing the Impacts of Air Quality Alerts on Micromobility Transportation Usage Behaviors
Xu, L., Taylor, J., and Tien, I., “Impacts of Air Quality Alerts on Micromobility Transportation Usage Behaviors,” Sustainable Cities and Society, Vol. 84, pp. 1-8, September 2022
Abstract — To address the severe risks imposed by air pollution, governments around the world have prioritized air quality information disclosure and alert dissemination read more…
Recommendations for Investing in Infrastructure at the Intersection of Resilience, Sustainability, and Equity
Tien, I., “Recommendations for Investing in Infrastructure at the Intersection of Resilience, Sustainability, and Equity,” ASCE Journal of Infrastructure Systems, Vol. 28, No. 2, June 2022
Abstract — Infrastructure systems—including water distribution, power, communications, and transportation systems—are critical to our public health and safety, national read more…
Methodology to Quantitatively Assess Impacts of 5G Telecommunications Cybersecurity Risk Scenarios on Dependent Connected Urban Transportation Systems
Vargas, P., and Tien, I., “Methodology to Quantitatively Assess Impacts of 5G Telecommunications Cybersecurity Risk Scenarios on Dependent Connected Urban Transportation Systems,” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Vol. 8, No. 2, June 2022
Abstract — The fifth generation (5G) technology standard for cellular networks is currently being developed and is in the early stages of rollout across the United States. This upgrade from 4G LTE (long-term evolution) read more…
Time Series Prediction in Nodal Networks Using Recurrent Neural Networks and a Pairwise-Gated Recurrent Unit Approach
Tong, Y., and Tien, I., “Time Series Prediction in Nodal Networks Using Recurrent Neural Networks and a Pairwise-Gated Recurrent Unit Approach,” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Vol. 8, No. 2, June 2022
Abstract —Characteristics at nodes in a network, such as values of demand, evolve over time. To make time-dependent decisions for a network, making time series predictions at read more…
Combined Effects of Soil Stress History and Scour Hole Dimensions on Laterally and Axially Loaded Piles in Sand and Clay under Scour Conditions
Zhang, Y., and Tien, I., “Combined Effects of Soil Stress History and Scour Hole Dimensions on Laterally and Axially Loaded Piles in Sand and Clay under Scour Conditions,” ASCE Journal of Geotechnical and Geoenvironmental Engineering, Vol. 148, No. 5, May 2022
Abstract — Removal of soil around a bridge foundation due to scour results in a reduction of the lateral and vertical foundation capacity due to the loss of soil support. The read more…
Methodology to Account for the Impact of Stress History in Layered Soils for Seismic Vulnerability Assessment of Scoured Bridges
Zhang, Y., and Tien, I., “Methodology to Account for the Impact of Stress History in Layered Soils for Seismic Vulnerability Assessment of Scoured Bridges,” Structure and Infrastructure Engineering, Vol. 18, No. 5, pp. 653-677, December 2020
Abstract — Scour has been recognized as one of the leading causes of bridge collapse in the United States. Therefore, it is essential to be able to build models that accurately read more…
Methodology for Regularization of Force-Based Elements to Model Reinforced Concrete Columns with Short Lap Splices
Zhang, Y., and Tien, I., “Methodology for Regularization of Force-Based Elements to Model Reinforced Concrete Columns with Short Lap Splices,” ASCE Journal of Engineering Mechanics, Vol. 146, No. 7, July 2020
Abstract — In reinforced concrete structures built before the 1970s, it was common for columns to be constructed with short lap splices and widely spaced transverse bars read more…
Probability Propagation Method for Reliability Assessment of Acyclic Directed Networks
Tong, Y., and Tien, I., “Probability Propagation Method for Reliability Assessment of Acyclic Directed Networks,” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Vol. 5, No. 3, September 2019
Abstract — Many civil infrastructure systems that deliver resources from source points to sinks, e.g., power distribution and gas pipeline networks, can be described as read more…
Impact of Corrosion on Risk Assessment of Shear-Critical and Short Lap-Spliced Bridges
Zhang, Y., DesRoches, R., and Tien, I., “Impact of Corrosion on Risk Assessment of Shear-Critical and Short Lap-Spliced Bridges,” Engineering Structures, Vol. 189, pp. 260-271, June 2019
Abstract — Increasing corrosion in aging reinforced concrete structures is increasing their vulnerability to failures. This is particularly true for bridges with low-ductility read more…
Analytical Probability Propagation Method for Reliability Analysis of General Complex Networks
Tong, Y., and Tien, I., “Analytical Probability Propagation Method for Reliability Analysis of General Complex Networks,” Reliability Engineering and System Safety, Vol. 189, pp. 21-30, 2019
Abstract — Reliability analysis of complex networks is often limited by large and exponentially increasing computational requirements with system size. In this paper, a new read more…
Framework for Probabilistic Vulnerability Analysis of Interdependent Infrastructure Systems
Applegate, C., and Tien, I., “Framework for Probabilistic Vulnerability Analysis of Interdependent Infrastructure Systems,” ASCE Journal of Computing in Civil Engineering, Vol. 33, No. 1, January 2019
Abstract — Critical infrastructure systems are deteriorating and experiencing increased cascading failures. In this paper, we propose a new probabilistic framework read more…
Probabilistic Framework for Integrating Multiple Data Sources to Estimate Disaster and Failure Events and Increase Situational Awareness
Lee, C., and Tien, I., “Probabilistic Framework for Integrating Multiple Data Sources to Estimate Disaster and Failure Events and Increase Situational Awareness,” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Vol. 4, No. 4, December 2018
Abstract — As data for monitoring the natural and built environments become increasingly prevalent, integrating information from varied data sources offers a fuller read more…
Probabilistic Evaluation of Concrete Freeze-Thaw Design Guidance
Smith, S., Kurtis, K., and Tien, I., “Probabilistic Evaluation of Concrete Freeze-Thaw Design Guidance,” Materials and Structures, Vol. 51, No. 5, pp. 124-137, October 2018
Abstract — A novel limit-state function using Powers’ models is developed to assess current freeze-thaw exposure categories and design criteria for concrete placements read more…
Methodology for Real-Time Prediction of Structural Seismic Risk Based on Sensor Measurements
Saini, A., and Tien, I., “Methodology for Real-Time Prediction of Structural Seismic Risk Based on Sensor Measurements,” Structural Safety, Vol. 73, pp. 54-63, July 2018
Abstract — Current earthquake early warning systems utilize p-wave data to predict the extent of an earthquake threat and issue warnings at a regional scale. In the assessment of read more…
Resilient by Design: The Case for Increasing Resilience of Buildings and Their Linked Food-Energy-Water Systems
Tien, I., “Resilient by Design: The Case for Increasing Resilience of Buildings and Their Linked Food-Energy-Water Systems,” Elementa: Science of the Anthropocene, Vol. 6, No. 18, pp. 1-12, 2018
Abstract — The resilience of buildings and food, energy, and water systems (FEWS) to natural or manmade disruptions are closely linked. The resilience of a building goes beyond the safety of its structural read more…
Probabilistic Multi-Scale Modeling of Interdependencies between Critical Infrastructure Systems for Resilience
Johansen, C., and Tien, I., “Probabilistic Multi-Scale Modeling of Interdependencies between Critical Infrastructure Systems for Resilience,” Sustainable and Resilient Infrastructure, Vol. 3, No. 1, pp. 1-15, 2018
Abstract — The prevalence of aging infrastructure and an increase in cascading failures have highlighted the need to focus on building strong, interdependent infrastructure read more…
Reliability Assessment of Critical Infrastructure Using Bayesian Networks
Tien, I., and Der Kiureghian, A., “Reliability Assessment of Critical Infrastructure Using Bayesian Networks,” ASCE Journal of Infrastructure Systems, Vol. 23, No. 4, December 2017
Abstract — The authors present a Bayesian network (BN)-based approach for modeling and reliability assessment of infrastructure systems. The BN is a powerful framework read more…
Algorithms for Bayesian Network Modeling, Inference, and Reliability Assessment for Multistate Flow Networks
Tong, Y., and Tien, I., “Algorithms for Bayesian Network Modeling, Inference, and Reliability Assessment for Multistate Flow Networks,” ASCE Journal of Computing in Civil Engineering, Vol. 31, No. 5, September 2017
Abstract — The Bayesian network (BN) is a useful tool for the modeling and reliability assessment of civil infrastructure systems. For a system comprising many read more…
Framework for Probabilistic Assessment of Maximum Nonlinear Structural Response Based on Sensor Measurements: Discretization and Estimation
Saini, A., and Tien, I., “Framework for Probabilistic Assessment of Maximum Nonlinear Structural Response Based on Sensor Measurements: Discretization and Estimation,” ASCE Journal of Engineering Mechanics, Vol. 143, No. 9, September 2017
Abstract — A probabilistic framework to draw real-time inferences on the maximum response of an uncertain nonlinear structural system under stochastic excitation based on read more…
Impacts of Climate Change on the Assessment of Long-Term Structural Reliability
Saini, A., and Tien, I., “Impacts of Climate Change on the Assessment of Long-Term Structural Reliability,” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Vol. 3, No. 3, September 2017
Abstract — Global climate change has triggered studies across various science and engineering fields. This study demonstrates the need to account for climate change in assessing read more…
Metrics for Evaluating and Improving Community Resilience
Johansen, C., Horney, J., and Tien, I., “Metrics for Evaluating and Improving Community Resilience,” ASCE Journal of Infrastructure Systems, Vol. 23, No. 2, June 2017
Abstract — The growing risk of natural and artificial or manufactured hazards combined with a lack of community preparedness have revealed the necessity for comprehensive read more…
Algorithms for Bayesian Network Modeling and Reliability Assessment of Infrastructure Systems
Tien, I., and Der Kiureghian, A., “Algorithms for Bayesian Network Modeling and Reliability Assessment of Infrastructure Systems,” Reliability Engineering and System Safety, Vol. 156, pp. 134-147, December 2016
Abstract — Novel algorithms are developed to enable the modeling of large, complex infrastructure systems as Bayesian networks (BNs). These include a compression read more…
Probabilistic Framework for Assessing Maximum Structural Response Based on Sensor Measurements
Tien, I., Pozzi, M., and Der Kiureghian, A., “Probabilistic Framework for Assessing Maximum Structural Response Based on Sensor Measurements,” Structural Safety, Vol. 61, pp. 43-56, July 2016
Abstract — A probabilistic framework for Bayesian inference combined with extreme values of Gaussian processes is proposed to assess the maximum of the response of an read more…
Detection of Damage and Failure Events of Critical Public Infrastructure Using Social Sensor Big Data
Tien, I., Musaev, A., Benas, D., Ghadi, A., Goodman, S., and Pu, C., “Detection of Damage and Failure Events of Critical Public Infrastructure Using Social Sensor Big Data,” Proceedings of the International Conference on Internet of Things and Big Data (IoTBD 2016), Rome, Italy, pp. 435-440, April 23-25, 2016
Abstract — Public infrastructure systems provide many of the services that are critical to the health, functioning, and security of society. Many of these infrastructures, however, lack continuous physical sensor read more…
Compression and Inference Algorithms for Bayesian Network Modeling of Infrastructure Systems
Tien, I., and Der Kiureghian, A., “Compression and Inference Algorithms for Bayesian Network Modeling of Infrastructure Systems,” In T. Haukaas, ed., Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering, Vancouver, Canada, July 12-15, 2015
Abstract — The Bayesian network (BN) is an ideal tool for modeling and assessing the reliability of civil infrastructure, particularly when the information about the system and its components is uncertain and read more…
A Dynamic Bayesian Network Framework for Risk Assessment of Systems Based on Sensor Measurements
Tien, I., Pozzi, M., and Der Kiureghian, A., “A Dynamic Bayesian Network Framework for Risk Assessment of Systems Based on Sensor Measurements,” In T. Haukaas, ed., Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering, Vancouver, Canada, July 12-15, 2015
Abstract — In this paper, a framework based the dynamic Bayesian network (DBN) is proposed to dynamically monitor the response of structures to hazards. The methodology enables the probabilistic analysis of read more…
Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems
Tien, I., “Bayesian Network Methods for Modeling and Reliability Assessment of Infrastructure Systems,” ASCE Structural Engineering Institute Structures Congress, Portland, OR, April 23-25, 2015
A Compression Algorithm for Inference in Bayesian Network Models of Infrastructure Systems
Tien, I., and Der Kiureghian, A., “A Compression Algorithm for Inference in Bayesian Network Models of Infrastructure Systems,” ASCE Engineering Mechanics Institute Conference, Evanston, IL, August 4-7, 2013
Compression Algorithm for Bayesian Network Modeling of Binary Systems
Tien, I., and Der Kiureghian, A., “Compression Algorithm for Bayesian Network Modeling of Binary Systems,” In G. Deodatis, B. Ellingwood, and D. Frangopol, eds., Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures, New York: CRC Press, pp. 3075-3081, June 2013
Abstract — A Bayesian network (BN) is a useful tool for analyzing the reliability of systems. The BN framework is limited, however, by the size and complexity of the system that can be tractably modeled. Each node in read more…
Inference on Maximum Structural Response Based on Measured Accelerations Using Dynamic Bayesian Network
Tien, I., Pozzi, M., and Der Kiureghian, A., “Inference on Maximum Structural Response Based on Measured Accelerations Using Dynamic Bayesian Network,” In G. Deodatis, B. Ellingwood, and D. Frangopol, eds. Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures, New York: CRC Press, pp. 2481-2488, June 2013
Abstract — A dynamic Bayesian network (DBN) is a useful tool for analyzing uncertain systems that evolve with time. As such, it is useful in structural health monitoring applications where measurements can be read more…
Using a Wireless Inertial Sensor System to Characterize Gait Abnormalities in Parkinson’s Disease
Tien, I., and Aminoff, M., “Using a Wireless Inertial Sensor System to Characterize Gait Abnormalities in Parkinson’s Disease,” Movement Disorders, Vol. 27, Issue Supplement S1, pp. S142, June 2012
Impact of Online Marketing Channels on Customer Purchase Visits: Aggregate- and Individual-Level Models
Tien, I., and Jamal, Z., “Impact of Online Marketing Channels on Customer Purchase Visits: Aggregate- and Individual-Level Models,” HP Labs Technical Report, August 2011
Characterization of Gait Abnormalities in Parkinson’s Disease Using a Wireless Inertial Sensor System
Tien, I., Glaser, S., and Aminoff, M., “Characterization of Gait Abnormalities in Parkinson’s Disease Using a Wireless Inertial Sensor System,” 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, pp. 3353-3356, August 31-September 4, 2010
Abstract — Gait analysis is important in diagnosing and evaluating certain neurological diseases such as Parkinson’s disease (PD). In this paper, we show the ability of our wireless inertial sensor system to read more…
Results of Using a Wireless Inertial Measuring System to Quantify Gait Motions in Control Subjects
Tien, I., Glaser, S., Bajcsy, R., Goodin, D., and Aminoff, M., “Results of Using a Wireless Inertial Measuring System to Quantify Gait Motions in Control Subjects,” IEEE Transactions on Information Technology in Biomedicine, Vol. 14, No. 4, pp. 904-915, July 2010
Abstract — Gait analysis is important for the diagnosis of many neurological diseases such as Parkinson’s. The discovery and interpretation of minor gait abnormalities can aid in early diagnosis. We have used an read more…
Structural Health Monitoring and Evaluation of Human Gait to Assist in the Diagnosis of Parkinson’s Disease
Tien, I., and Glaser, S., “Structural Health Monitoring and Evaluation of Human Gait to Assist in the Diagnosis of Parkinson’s Disease,” Proceedings, 7th International Workshop on Structural Health Monitoring, Stanford, CA, September 9-11, 2009
Abstract — The human body is a complex structure, and its structural health can be monitored using sensors. A system using wireless inertial measurement units for data acquisition and the monitoring of human read more…
Detecting and Quantifying Gait Abnormalities in Parkinson’s Patients Using Wireless Inertial Measurement Units
Tien, I., “Detecting and Quantifying Gait Abnormalities in Parkinson’s Patients Using Wireless Inertial Measurement Units,” Center for Information Technology Research in the Interest of Society Open House, Berkeley EECS Annual Research Symposium, Berkeley, CA, February 2009
Quantifying Diagnosis of Neurological Conditions
Tien, I., “Quantifying Diagnosis of Neurological Conditions,” Scientific Colloquium for Healthcare, Engineering and Medicine, UC Davis Medical Center, Davis, CA, May 2008
Quantifying Diagnosis of Neurological Conditions
Tien, I., “Quantifying Diagnosis of Neurological Conditions,” Center for Information Technology Research in the Interest of Society Open House, Berkeley EECS Annual Research Symposium, February 2008
Designing for Designers: Lessons Learned from Schools of Architecture
Cranz, G., Wendover, J., Tien, I., Gillem, M., and Norman, J., “Chapter 9: A Post-Occupancy Evaluation of the Temporary Home of the College of Environmental Design on the UC Berkeley Campus,” Designing for Designers: Lessons Learned from Schools of Architecture, Fairchild Books, September 2007
Post-Occupancy Evaluation of the San Francisco Public Library
Cranz, G., and Tien, I., “Post-Occupancy Evaluation of the San Francisco Public Library,” Annual Conference of the Association for Applied and Clinical Sociology, San Jose, CA, October 26-28, 2006